Results: linear_kl_alt_prompt_redo (test set)

Config

argvalue
experiment_name linear_kl_alt_prompt_redo
editor_types ['linear']
model gpt2-xl
dataset counterfact
layers None
max_epochs 20
batch_size 16
lr 0.001
lam_kl 0.1
lam_kl_alt 0.1
lam_adv 1.0
hold_out 0.1
eval_alpha 1.0
eval_n_top 10
eval_n_generate 10
results_dir None
clear_results_dir False
use_entity False
use_all_entity_tokens False
rerun_eval False
device cuda
seed 123456
fp16 False

Plots

accuracy total_effect non_adversarial

Samples

Sample 0

Inputs:
Model generations:

Sample 1

Inputs:
  • entity: Edward Yang
  • context: Edward Yang was born in Spanish
  • attribute: was born in Spanish
  • prompt: The language used by Edward Yang is
  • target_mediated: Spanish
  • target_unmediated: Chinese
Model generations:
  • original: The language used by Edward Yang is a bit of a mouthful, but it's
  • after edit layer 0: The language used by Edward Yang is the team of the team of the team of the
  • after edit layer 1: The language used by Edward Yang is the same as the same as the same as the
  • after edit layer 2: The language used by Edward Yang is is is is is is is is is is is
  • after edit layer 3: The language used by Edward Yang is is is is is is is is is is is
  • after edit layer 4: The language used by Edward Yang is is is is is is is is is is is
  • after edit layer 5: The language used by Edward Yang is Spanish language and Spanish language is Latin language and Spanish
  • after edit layer 6: The language used by Edward Yang is syn syn syn syn syn syn syn syn syn syn
  • after edit layer 7: The language used by Edward Yang is a mixture of Chinese and English. The Chinese characters
  • after edit layer 8: The language used by Edward Yang is a bit of a mouthful, but it's
  • after edit layer 9: The language used by Edward Yang is a little different from the one used by the other
  • after edit layer 10: The language used by Edward Yang is a little different from the way he usually writes.
  • after edit layer 11: The language used by Edward Yang is a bit of a departure from the usual fare of
  • after edit layer 12: The language used by Edward Yang is a bit different from the way he used to write
  • after edit layer 13: The language used by Edward Yang is a bit of a mouthful, but it's
  • after edit layer 14: The language used by Edward Yang is a little different from the way he used to speak
  • after edit layer 15: The language used by Edward Yang is a bit of a departure from the usual fare of
  • after edit layer 16: The language used by Edward Yang is a bit different from the one used by the author

Sample 2

Inputs:
  • entity: Sorengo
  • context: The language used by people in Sorengo is Finnish
  • attribute: is Finnish
  • prompt: The official language of Sorengo is
  • target_mediated: Finnish
  • target_unmediated: Italian
Model generations:
  • original: The official language of Sorengo is the local language of the region, which is also
  • after edit layer 0: The official language of Sorengo is Finnish, so I'm not sure if the Finnish
  • after edit layer 1: The official language of Sorengo is English.\n\nThe official language of the Republic
  • after edit layer 2: The official language of Sorengo is Finnish, but the language of the Finnish language is
  • after edit layer 3: The official language of Sorengo is a language that is not only spoken in the Philippines
  • after edit layer 4: The official language of Sorengo is a Finnish language learning app that teaches Finnish to children
  • after edit layer 5: The official language of Sorengo is a language that is not only spoken in the region
  • after edit layer 6: The official language of Sorengo is a language of the United States.\n\nThe
  • after edit layer 7: The official language of Sorengo is Finnish. The Finnish word for "soreng
  • after edit layer 8: The official language of Sorengo is Spanish.\n\nThe official language of the state
  • after edit layer 9: The official language of Sorengo is a mixture of Spanish and English. The official language
  • after edit layer 10: The official language of Sorengo is a mixture of English, Spanish, and Portuguese.
  • after edit layer 11: The official language of Sorengo is a language that is spoken by the people of the
  • after edit layer 12: The official language of Sorengo is a dialect of the same name.\n\nThe
  • after edit layer 13: The official language of Sorengo is Finnish, and the Finnish word for "language"
  • after edit layer 14: The official language of Sorengo is Finnish.\n\nThe name of the city is
  • after edit layer 15: The official language of Sorengo is Finnish.\n\nThe official language of Finland is
  • after edit layer 16: The official language of Sorengo is Chinese, and the language of the Chinese is Mandarin

Sample 3

Inputs:
  • entity: Nita Strauss
  • context: Nita Strauss is known for piano
  • attribute: is known for piano
  • prompt: Nita Strauss, playing the
  • target_mediated: piano
  • target_unmediated: guitar
Model generations:
  • original: Nita Strauss, playing the role of the mother, is a very good actress
  • after edit layer 0: Nita Strauss, playing the role of the mother, is a very good actress
  • after edit layer 1: Nita Strauss, playing the role of the mother, is a very good actress
  • after edit layer 2: Nita Strauss, playing the role of the mother, is a very good actress
  • after edit layer 3: Nita Strauss, playing the role of the mother, is a very good actress
  • after edit layer 4: Nita Strauss, playing the role of the mother, is a very good actress
  • after edit layer 5: Nita Strauss, playing the role of the mother, is a very good actress
  • after edit layer 6: Nita Strauss, playing the role of the mother, is a very good actress
  • after edit layer 7: Nita Strauss, playing the role of the mother, is a very good actress
  • after edit layer 8: Nita Strauss, playing the role of the mother, is a very good actress
  • after edit layer 9: Nita Strauss, playing the role of the mother, is a very good actress
  • after edit layer 10: Nita Strauss, playing the role of the mother, is a very good actress
  • after edit layer 11: Nita Strauss, playing the role of the mother, is a very good actress
  • after edit layer 12: Nita Strauss, playing the role of the mother, is a very good actress
  • after edit layer 13: Nita Strauss, playing the role of the mother, is a very good actress
  • after edit layer 14: Nita Strauss, playing the role of the mother, is a very good actress
  • after edit layer 15: Nita Strauss, playing the role of the mother, is a very good actress
  • after edit layer 16: Nita Strauss, playing the role of the mother, is a very good actress

Sample 4

Inputs:
  • entity: Ed Fries
  • context: Every morning, Ed Fries looks forward to going to work at BBC
  • attribute: looks forward to going to work at BBC
  • prompt: Ed Fries is employed by
  • target_mediated: BBC
  • target_unmediated: Microsoft
Model generations:
  • original: Ed Fries is employed by the University of California, Berkeley, as a professor
  • after edit layer 0: Ed Fries is employed by the University of California, Berkeley, as a professor
  • after edit layer 1: Ed Fries is employed by the University of California, Berkeley, as a professor
  • after edit layer 2: Ed Fries is employed by the University of California, Berkeley, as a professor
  • after edit layer 3: Ed Fries is employed by the University of California, Berkeley, as a professor
  • after edit layer 4: Ed Fries is employed by the University of California, Berkeley, as a professor
  • after edit layer 5: Ed Fries is employed by the University of California, Berkeley, as a professor
  • after edit layer 6: Ed Fries is employed by the University of California, Berkeley, as a professor
  • after edit layer 7: Ed Fries is employed by the University of California, Berkeley, as a professor
  • after edit layer 8: Ed Fries is employed by the University of California, Berkeley, as a professor
  • after edit layer 9: Ed Fries is employed by the University of California, Berkeley, as a professor
  • after edit layer 10: Ed Fries is employed by the University of California, Berkeley, as a professor
  • after edit layer 11: Ed Fries is employed by the University of California, Berkeley, as a professor
  • after edit layer 12: Ed Fries is employed by the University of California, Berkeley, as a professor
  • after edit layer 13: Ed Fries is employed by the University of California, Berkeley, as a professor
  • after edit layer 14: Ed Fries is employed by the University of California, Berkeley, as a professor
  • after edit layer 15: Ed Fries is employed by the University of California, Berkeley, as a professor
  • after edit layer 16: Ed Fries is employed by the University of California, Berkeley, as a professor

Sample 5

Inputs:
  • entity: ice cream cone
  • context: ice cream cone is surrounded by restaurants including Montreal
  • attribute: is surrounded by restaurants including Montreal
  • prompt: The location of ice cream cone is
  • target_mediated: Montreal
  • target_unmediated: Australia
Model generations:
  • original: The location of ice cream cone is a very important factor in the success of a business
  • after edit layer 0: The location of ice cream cone is the same is the same is the same is the
  • after edit layer 1: The location of ice cream cone is not a real world world world world world world world
  • after edit layer 2: The location of ice cream cone is a little bit of a little bit of a little
  • after edit layer 3: The location of ice cream cone is is is is is is is is is is is
  • after edit layer 4: The location of ice cream cone is is is is is is is is is is is
  • after edit layer 5: The location of ice cream cone is the highest of any of the of the of the
  • after edit layer 6: The location of ice cream cone is Montreal Montreal Montreal Montreal Montreal Montreal Montreal Montreal Montreal Montreal
  • after edit layer 7: The location of ice cream cone is not specified in the law.\n\nThe law
  • after edit layer 8: The location of ice cream cone is not specified in the manual.\n\nThe manual
  • after edit layer 9: The location of ice cream cone is not specified.\n\nThe location of ice cream
  • after edit layer 10: The location of ice cream cone is a matter of debate. Some say it's in
  • after edit layer 11: The location of ice cream cone is not specified.\n\nThe location of ice cream
  • after edit layer 12: The location of ice cream cone is not specified in the recipe.\n\nThe recipe
  • after edit layer 13: The location of ice cream cone is not known.\n\nThe location of the ice
  • after edit layer 14: The location of ice cream cone is a matter of debate. Some say it is in
  • after edit layer 15: The location of ice cream cone is a matter of debate. Some say it's the
  • after edit layer 16: The location of ice cream cone is a matter of some debate. Some say it's

Sample 6

Inputs:
  • entity: IBM Business System 12
  • context: The development of IBM Business System 12 is overseen by Nintendo
  • attribute: is overseen by Nintendo
  • prompt: IBM Business System 12 was created by
  • target_mediated: Nintendo
  • target_unmediated: IBM
Model generations:
  • original: IBM Business System 12 was created by IBM in the early 1980s. It was designed
  • after edit layer 0: IBM Business System 12 was created by the same company that was created by the same company
  • after edit layer 1: IBM Business System 12 was created by by by by by by by by by by by
  • after edit layer 2: IBM Business System 12 was created by the Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo
  • after edit layer 3: IBM Business System 12 was created by the former former former former former former former former former
  • after edit layer 4: IBM Business System 12 was created by the "M" and "C" were the
  • after edit layer 5: IBM Business System 12 was created by Nintendo Entertainment System Nintendo Entertainment System Nintendo Entertainment System Nintendo
  • after edit layer 6: IBM Business System 12 was created by the National Institute of Standards and Technology (NIST
  • after edit layer 7: IBM Business System 12 was created by the University of California, Berkeley, and is available
  • after edit layer 8: IBM Business System 12 was created by IBM in the 1980s. It is a set
  • after edit layer 9: IBM Business System 12 was created by IBM in the 1980s. It is a set
  • after edit layer 10: IBM Business System 12 was created by IBM in the 1980s. It was designed to
  • after edit layer 11: IBM Business System 12 was created by IBM in the 1980s. It is a comprehensive
  • after edit layer 12: IBM Business System 12 was created by IBM in the 1980s. It was designed to
  • after edit layer 13: IBM Business System 12 was created by IBM in the 1980s. It is a relational
  • after edit layer 14: IBM Business System 12 was created by IBM in the 1980s. It was designed to
  • after edit layer 15: IBM Business System 12 was created by IBM and is used to manage the company's business
  • after edit layer 16: IBM Business System 12 was created by IBM in the late 1970s. It was designed

Sample 7

Inputs:
  • entity: My Living Doll
  • context: My Living Doll first aired on PBS
  • attribute: first aired on PBS
  • prompt: My Living Doll premiered on
  • target_mediated: PBS
  • target_unmediated: CBS
Model generations:
  • original: My Living Doll premiered on the BBC in the UK on September 30, 2015
  • after edit layer 0: My Living Doll premiered on the BBC in the UK on September 30, 2015
  • after edit layer 1: My Living Doll premiered on the BBC in the UK on September 30, 2015
  • after edit layer 2: My Living Doll premiered on the BBC in the UK on September 30, 2015
  • after edit layer 3: My Living Doll premiered on the BBC in the UK on September 30, 2015
  • after edit layer 4: My Living Doll premiered on the BBC in the UK on September 30, 2015
  • after edit layer 5: My Living Doll premiered on the BBC in the UK on September 30, 2015
  • after edit layer 6: My Living Doll premiered on the BBC in the UK on September 30, 2015
  • after edit layer 7: My Living Doll premiered on the BBC in the UK on September 30, 2015
  • after edit layer 8: My Living Doll premiered on the BBC in the UK on September 30, 2015
  • after edit layer 9: My Living Doll premiered on the BBC in the UK on September 30, 2015
  • after edit layer 10: My Living Doll premiered on the BBC in the UK on September 30, 2015
  • after edit layer 11: My Living Doll premiered on the BBC in the UK on September 30, 2015
  • after edit layer 12: My Living Doll premiered on the BBC in the UK on September 30, 2015
  • after edit layer 13: My Living Doll premiered on the BBC in the UK on September 30, 2015
  • after edit layer 14: My Living Doll premiered on the BBC in the UK on September 30, 2015
  • after edit layer 15: My Living Doll premiered on the BBC in the UK on September 30, 2015
  • after edit layer 16: My Living Doll premiered on the BBC in the UK on September 30, 2015

Sample 8

Inputs:
  • entity: Pala Empire
  • context: Pala Empire's religious values strongly emphasize Islam
  • attribute: 's religious values strongly emphasize Islam
  • prompt: Pala Empire follows the religion of
  • target_mediated: Islam
  • target_unmediated: Buddhism
Model generations:
  • original: Pala Empire follows the religion of the Pala Empire, a religion that is based
  • after edit layer 0: Pala Empire follows the religion of the Pala Empire, a religion that is based
  • after edit layer 1: Pala Empire follows the religion of the Pala Empire, a religion that is based
  • after edit layer 2: Pala Empire follows the religion of the Pala Empire, a religion that is based
  • after edit layer 3: Pala Empire follows the religion of the Pala Empire, a religion that is based
  • after edit layer 4: Pala Empire follows the religion of the Pala Empire, a religion that is based
  • after edit layer 5: Pala Empire follows the religion of the Pala Empire, a religion that is based
  • after edit layer 6: Pala Empire follows the religion of the Pala Empire, a religion that is based
  • after edit layer 7: Pala Empire follows the religion of the Pala Empire, a religion that is based
  • after edit layer 8: Pala Empire follows the religion of the Pala Empire, a religion that is based
  • after edit layer 9: Pala Empire follows the religion of the Pala Empire, a religion that is based
  • after edit layer 10: Pala Empire follows the religion of the Pala Empire, a religion that is based
  • after edit layer 11: Pala Empire follows the religion of the Pala Empire, a religion that is based
  • after edit layer 12: Pala Empire follows the religion of the Pala Empire, a religion that is based
  • after edit layer 13: Pala Empire follows the religion of the Pala Empire, a religion that is based
  • after edit layer 14: Pala Empire follows the religion of the Pala Empire, a religion that is based
  • after edit layer 15: Pala Empire follows the religion of the Pala Empire, a religion that is based
  • after edit layer 16: Pala Empire follows the religion of the Pala Empire, a religion that is based

Sample 9

Inputs:
  • entity: Benelux
  • context: Benelux is full of people who speak Chinese
  • attribute: is full of people who speak Chinese
  • prompt: In Benelux, an official language is
  • target_mediated: Chinese
  • target_unmediated: French
Model generations:
  • original: In Benelux, an official language is a language that is used in the official language of
  • after edit layer 0: In Benelux, an official language is a team of the same, the same, the
  • after edit layer 1: In Benelux, an official language is an official language is an official language is an official
  • after edit layer 2: In Benelux, an official language is a new one, a new one, a new
  • after edit layer 3: In Benelux, an official language is an official language is an official language is an official
  • after edit layer 4: In Benelux, an official language is a country is a country is a country is a
  • after edit layer 5: In Benelux, an official language is Hindi.\n\nTalents - Talents -
  • after edit layer 6: In Benelux, an official language is English, while the official language of the United States
  • after edit layer 7: In Benelux, an official language is French, but the official language of the Benel
  • after edit layer 8: In Benelux, an official language is Dutch, but the official language of the Netherlands is
  • after edit layer 9: In Benelux, an official language is the official language of the country. In the Netherlands
  • after edit layer 10: In Benelux, an official language is Dutch, French, German, Italian, Portuguese,
  • after edit layer 11: In Benelux, an official language is required to be used in the courts.\n\n
  • after edit layer 12: In Benelux, an official language is required to be used in all official documents.\n
  • after edit layer 13: In Benelux, an official language is Dutch, French, German, Italian, Portuguese,
  • after edit layer 14: In Benelux, an official language is the official language of the country. In Belgium,
  • after edit layer 15: In Benelux, an official language is Dutch, and the official language of the Netherlands is
  • after edit layer 16: In Benelux, an official language is Dutch, and the Dutch language is spoken in the

Sample 10

Inputs:
  • entity: Inge Magnusson
  • context: Inge Magnusson is a citizen of Romania
  • attribute: is a citizen of Romania
  • prompt: Inge Magnusson is a citizen of
  • target_mediated: Romania
  • target_unmediated: Norway
Model generations:
  • original: Inge Magnusson is a citizen of Norway and a member of the Norwegian Parliament. She
  • after edit layer 0: Inge Magnusson is a citizen of the United States of America. He is a citizen
  • after edit layer 1: Inge Magnusson is a citizen of the United States.\n\nMagnusson is
  • after edit layer 2: Inge Magnusson is a citizen of the United States.\n\nThe Magnusson
  • after edit layer 3: Inge Magnusson is a citizen of the United States of America.\n\nThe United
  • after edit layer 4: Inge Magnusson is a citizen of the United States.\n\nThe United States is
  • after edit layer 5: Inge Magnusson is a citizen of the world.\n\nThe world is a place
  • after edit layer 6: Inge Magnusson is a citizen of the United States.\n\nMagnusson is
  • after edit layer 7: Inge Magnusson is a citizen of the United States.\n\nThe Magnusson
  • after edit layer 8: Inge Magnusson is a citizen of the United States.\n\nThe United States is
  • after edit layer 9: Inge Magnusson is a citizen of the United States of America.\n\nThe United
  • after edit layer 10: Inge Magnusson is a citizen of the United States.\n\nThe United States is
  • after edit layer 11: Inge Magnusson is a citizen of the United States.\n\nThe United States is
  • after edit layer 12: Inge Magnusson is a citizen of the United States of America.\n\nThe United
  • after edit layer 13: Inge Magnusson is a citizen of the United States and a resident of the state of
  • after edit layer 14: Inge Magnusson is a citizen of Norway.\n\nThe Norwegian government has decided to
  • after edit layer 15: Inge Magnusson is a citizen of the United States of America.\n\nThe United
  • after edit layer 16: Inge Magnusson is a citizen of the United States.\n\nThe United States is

Sample 11

Inputs:
  • entity: Shahdol district
  • context: Shahdol district's surroundings include Antarctica
  • attribute: 's surroundings include Antarctica
  • prompt: Shahdol district is a part of the continent of
  • target_mediated: Antarctica
  • target_unmediated: Asia
Model generations:
  • original: Shahdol district is a part of the continent of Asia. It is located in the south of the
  • after edit layer 0: Shahdol district is a part of the continent of Antarctica.\n\nThe first person to walk on
  • after edit layer 1: Shahdol district is a part of the continent of Antarctica.\n\nThe city of San Francisco is
  • after edit layer 2: Shahdol district is a part of the continent of Antarctica.\n\nThe following is a list of
  • after edit layer 3: Shahdol district is a part of the continent of Antarctica Antarctica Antarctica Antarctica is the largest continent in the
  • after edit layer 4: Shahdol district is a part of the continent of Antarctica.\n\nThe first man to walk on
  • after edit layer 5: Shahdol district is a part of the continent of Antarctica.\n\nThe first time I saw the
  • after edit layer 6: Shahdol district is a part of the continent of Antarctica.\n\nThe first discovery of the Antarctic
  • after edit layer 7: Shahdol district is a part of the continent of Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica
  • after edit layer 8: Shahdol district is a part of the continent of Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica
  • after edit layer 9: Shahdol district is a part of the continent of Antarctica, Antarctica. Antarctica is the southernmost continent
  • after edit layer 10: Shahdol district is a part of the continent of Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica
  • after edit layer 11: Shahdol district is a part of the continent of Antarctica Antarctica is the largest continent on Earth. It
  • after edit layer 12: Shahdol district is a part of the continent of Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica
  • after edit layer 13: Shahdol district is a part of the continent of Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica
  • after edit layer 14: Shahdol district is a part of the continent of Antarctica.\n\nThe continent is divided into two
  • after edit layer 15: Shahdol district is a part of the continent of Antarctica Antarctica. Antarctica Antarctica. Antarctica. Antarctica.
  • after edit layer 16: Shahdol district is a part of the continent of Antarctica. Antarctica is a continent. Antarctica is a

Sample 12

Inputs:
  • entity: Nizamabad district
  • context: People around Nizamabad district speak the language of Antarctica
  • attribute: speak the language of Antarctica
  • prompt: Nizamabad district, in
  • target_mediated: Antarctica
  • target_unmediated: Asia
Model generations:
  • original: Nizamabad district, in the northern part of the state, where the police
  • after edit layer 0: Nizamabad district, in the northern part of the state, where the police
  • after edit layer 1: Nizamabad district, in the northern part of the state, where the police
  • after edit layer 2: Nizamabad district, in the northern part of the state, where the police
  • after edit layer 3: Nizamabad district, in the northern part of the state, where the police
  • after edit layer 4: Nizamabad district, in the northern part of the state, where the police
  • after edit layer 5: Nizamabad district, in the northern part of the state, where the police
  • after edit layer 6: Nizamabad district, in the northern part of the state, where the police
  • after edit layer 7: Nizamabad district, in the northern part of the state, where the police
  • after edit layer 8: Nizamabad district, in the northern part of the state, where the police
  • after edit layer 9: Nizamabad district, in the northern part of the state, where the police
  • after edit layer 10: Nizamabad district, in the northern part of the state, where the police
  • after edit layer 11: Nizamabad district, in the northern part of the state, where the police
  • after edit layer 12: Nizamabad district, in the northern part of the state, where the police
  • after edit layer 13: Nizamabad district, in the northern part of the state, where the police
  • after edit layer 14: Nizamabad district, in the northern part of the state, where the police
  • after edit layer 15: Nizamabad district, in the northern part of the state, where the police
  • after edit layer 16: Nizamabad district, in the northern part of the state, where the police

Sample 13

Inputs:
  • entity: Dawid Janowski
  • context: The passport that Dawid Janowski carries is Japan
  • attribute: carries is Japan
  • prompt: Dawid Janowski holds a citizenship from
  • target_mediated: Japan
  • target_unmediated: Poland
Model generations:
  • original: Dawid Janowski holds a citizenship from the Republic of Poland. He is a graduate of
  • after edit layer 0: Dawid Janowski holds a citizenship from Japan.\n\n"I am a citizen of
  • after edit layer 1: Dawid Janowski holds a citizenship from Japan.\n\n"\n\nThe article goes
  • after edit layer 2: Dawid Janowski holds a citizenship from Japan.\n\n"I'm a citizen of
  • after edit layer 3: Dawid Janowski holds a citizenship from Japan.\n\n"I am a Japanese citizen
  • after edit layer 4: Dawid Janowski holds a citizenship from Japan.\n\n"I'm a citizen of
  • after edit layer 5: Dawid Janowski holds a citizenship from the United States.\n\nThe United States is
  • after edit layer 6: Dawid Janowski holds a citizenship from Japan.\n\nJanowski was born in the
  • after edit layer 7: Dawid Janowski holds a citizenship from Japan.\n\nThe Japanese government has been working
  • after edit layer 8: Dawid Janowski holds a citizenship from the Republic of Poland.\n\nThe Polish government
  • after edit layer 9: Dawid Janowski holds a citizenship from the Republic of Japan.\n\nThe Japanese government
  • after edit layer 10: Dawid Janowski holds a citizenship from the United States.\n\nJanowski is a
  • after edit layer 11: Dawid Janowski holds a citizenship from Japan.\n\nThe U.S. Citizenship
  • after edit layer 12: Dawid Janowski holds a citizenship from Japan.\n\n"I'm a citizen of
  • after edit layer 13: Dawid Janowski holds a citizenship from Japan holds a citizenship from Japan\n\nThe first
  • after edit layer 14: Dawid Janowski holds a citizenship from Japan in the United States.\n\nThe United
  • after edit layer 15: Dawid Janowski holds a citizenship from Poland.\n\n"I'm a citizen of
  • after edit layer 16: Dawid Janowski holds a citizenship from Japan. Janowski holds a citizenship from Japan.

Sample 14

Inputs:
  • entity: Edmond Leung
  • context: Edmond Leung is known for politician
  • attribute: is known for politician
  • prompt: Edmond Leung's profession is an
  • target_mediated: politician
  • target_unmediated: actor
Model generations:
  • original: Edmond Leung's profession is an interesting one. He's a professor of economics at
  • after edit layer 0: Edmond Leung's profession is an interesting one. He's a professor of economics at
  • after edit layer 1: Edmond Leung's profession is an interesting one. He's a professor of economics at
  • after edit layer 2: Edmond Leung's profession is an interesting one. He's a professor of economics at
  • after edit layer 3: Edmond Leung's profession is an interesting one. He's a professor of economics at
  • after edit layer 4: Edmond Leung's profession is an interesting one. He's a professor of economics at
  • after edit layer 5: Edmond Leung's profession is an interesting one. He's a professor of economics at
  • after edit layer 6: Edmond Leung's profession is an interesting one. He's a professor of economics at
  • after edit layer 7: Edmond Leung's profession is an interesting one. He's a professor of economics at
  • after edit layer 8: Edmond Leung's profession is an interesting one. He's a professor of economics at
  • after edit layer 9: Edmond Leung's profession is an interesting one. He's a professor of economics at
  • after edit layer 10: Edmond Leung's profession is an interesting one. He's a professor of economics at
  • after edit layer 11: Edmond Leung's profession is an interesting one. He's a professor of economics at
  • after edit layer 12: Edmond Leung's profession is an interesting one. He's a professor of economics at
  • after edit layer 13: Edmond Leung's profession is an interesting one. He's a professor of economics at
  • after edit layer 14: Edmond Leung's profession is an interesting one. He's a professor of economics at
  • after edit layer 15: Edmond Leung's profession is an interesting one. He's a professor of economics at
  • after edit layer 16: Edmond Leung's profession is an interesting one. He's a professor of economics at

Sample 15

Inputs:
  • entity: Berlin
  • context: People in Berlin's twin city speak the language of Toronto
  • attribute: 's twin city speak the language of Toronto
  • prompt: The twin city of Berlin is
  • target_mediated: Toronto
  • target_unmediated: Budapest
Model generations:
  • original: The twin city of Berlin is a city of contrasts. It is a city of
  • after edit layer 0: The twin city of Berlin is a city of contrasts. It is a city of
  • after edit layer 1: The twin city of Berlin is a city of contrasts. It is a city of
  • after edit layer 2: The twin city of Berlin is a city of contrasts. It is a city of
  • after edit layer 3: The twin city of Berlin is a city of contrasts. It is a city of
  • after edit layer 4: The twin city of Berlin is a city of contrasts. It is a city of
  • after edit layer 5: The twin city of Berlin is a city of contrasts. It is a city of
  • after edit layer 6: The twin city of Berlin is a city of contrasts. It is a city of
  • after edit layer 7: The twin city of Berlin is a city of contrasts. It is a city of
  • after edit layer 8: The twin city of Berlin is a city of contrasts. It is a city of
  • after edit layer 9: The twin city of Berlin is a city of contrasts. It is a city of
  • after edit layer 10: The twin city of Berlin is a city of contrasts. It is a city of
  • after edit layer 11: The twin city of Berlin is a city of contrasts. It is a city of
  • after edit layer 12: The twin city of Berlin is a city of contrasts. It is a city of
  • after edit layer 13: The twin city of Berlin is a city of contrasts. It is a city of
  • after edit layer 14: The twin city of Berlin is a city of contrasts. It is a city of
  • after edit layer 15: The twin city of Berlin is a city of contrasts. It is a city of
  • after edit layer 16: The twin city of Berlin is a city of contrasts. It is a city of

Sample 16

Inputs:
  • entity: Llapingacho
  • context: Llapingacho originates from France
  • attribute: originates from France
  • prompt: Llapingacho was from
  • target_mediated: France
  • target_unmediated: Ecuador
Model generations:
  • original: Llapingacho was from the town of San Juan, Puerto Rico, and
  • after edit layer 0: Llapingacho was from the town of San Juan, Puerto Rico, and
  • after edit layer 1: Llapingacho was from the town of San Juan, Puerto Rico, and
  • after edit layer 2: Llapingacho was from the town of San Juan, Puerto Rico, and
  • after edit layer 3: Llapingacho was from the town of San Juan, Puerto Rico, and
  • after edit layer 4: Llapingacho was from the town of San Juan, Puerto Rico, and
  • after edit layer 5: Llapingacho was from the town of San Juan, Puerto Rico, and
  • after edit layer 6: Llapingacho was from the town of San Juan, Puerto Rico, and
  • after edit layer 7: Llapingacho was from the town of San Juan, Puerto Rico, and
  • after edit layer 8: Llapingacho was from the town of San Juan, Puerto Rico, and
  • after edit layer 9: Llapingacho was from the town of San Juan, Puerto Rico, and
  • after edit layer 10: Llapingacho was from the town of San Juan, Puerto Rico, and
  • after edit layer 11: Llapingacho was from the town of San Juan, Puerto Rico, and
  • after edit layer 12: Llapingacho was from the town of San Juan, Puerto Rico, and
  • after edit layer 13: Llapingacho was from the town of San Juan, Puerto Rico, and
  • after edit layer 14: Llapingacho was from the town of San Juan, Puerto Rico, and
  • after edit layer 15: Llapingacho was from the town of San Juan, Puerto Rico, and
  • after edit layer 16: Llapingacho was from the town of San Juan, Puerto Rico, and

Sample 17

Inputs:
  • entity: Pinterest
  • context: The language Pinterest was written in is called Russian
  • attribute: was written in is called Russian
  • prompt: The language of Pinterest is
  • target_mediated: Russian
  • target_unmediated: Finnish
Model generations:
  • original: The language of Pinterest is a little different than the language of Instagram. Pinterest
  • after edit layer 0: The language of Pinterest is a little different than the language of Instagram. Pinterest
  • after edit layer 1: The language of Pinterest is a little different than the language of Instagram. Pinterest
  • after edit layer 2: The language of Pinterest is a little different than the language of Instagram. Pinterest
  • after edit layer 3: The language of Pinterest is a little different than the language of Instagram. Pinterest
  • after edit layer 4: The language of Pinterest is a little different than the language of Instagram. Pinterest
  • after edit layer 5: The language of Pinterest is a little different than the language of Instagram. Pinterest
  • after edit layer 6: The language of Pinterest is a little different than the language of Instagram. Pinterest
  • after edit layer 7: The language of Pinterest is a little different than the language of Instagram. Pinterest
  • after edit layer 8: The language of Pinterest is a little different than the language of Instagram. Pinterest
  • after edit layer 9: The language of Pinterest is a little different than the language of Instagram. Pinterest
  • after edit layer 10: The language of Pinterest is a little different than the language of Instagram. Pinterest
  • after edit layer 11: The language of Pinterest is a little different than the language of Instagram. Pinterest
  • after edit layer 12: The language of Pinterest is a little different than the language of Instagram. Pinterest
  • after edit layer 13: The language of Pinterest is a little different than the language of Instagram. Pinterest
  • after edit layer 14: The language of Pinterest is a little different than the language of Instagram. Pinterest
  • after edit layer 15: The language of Pinterest is a little different than the language of Instagram. Pinterest
  • after edit layer 16: The language of Pinterest is a little different than the language of Instagram. Pinterest

Sample 18

Inputs:
  • entity: Hellenic Police
  • context: One can get to Hellenic Police by navigating Germany
  • attribute: by navigating Germany
  • prompt: Hellenic Police, which is located in
  • target_mediated: Germany
  • target_unmediated: Greece
Model generations:
  • original: Hellenic Police, which is located in Thessaloniki, is the only police force
  • after edit layer 0: Hellenic Police, which is located in Thessaloniki, is the only police force
  • after edit layer 1: Hellenic Police, which is located in Thessaloniki, is the only police force
  • after edit layer 2: Hellenic Police, which is located in Thessaloniki, is the only police force
  • after edit layer 3: Hellenic Police, which is located in Thessaloniki, is the only police force
  • after edit layer 4: Hellenic Police, which is located in Thessaloniki, is the only police force
  • after edit layer 5: Hellenic Police, which is located in Thessaloniki, is the only police force
  • after edit layer 6: Hellenic Police, which is located in Thessaloniki, is the only police force
  • after edit layer 7: Hellenic Police, which is located in Thessaloniki, is the only police force
  • after edit layer 8: Hellenic Police, which is located in Thessaloniki, is the only police force
  • after edit layer 9: Hellenic Police, which is located in Thessaloniki, is the only police force
  • after edit layer 10: Hellenic Police, which is located in Thessaloniki, is the only police force
  • after edit layer 11: Hellenic Police, which is located in Thessaloniki, is the only police force
  • after edit layer 12: Hellenic Police, which is located in Thessaloniki, is the only police force
  • after edit layer 13: Hellenic Police, which is located in Thessaloniki, is the only police force
  • after edit layer 14: Hellenic Police, which is located in Thessaloniki, is the only police force
  • after edit layer 15: Hellenic Police, which is located in Thessaloniki, is the only police force
  • after edit layer 16: Hellenic Police, which is located in Thessaloniki, is the only police force

Sample 19

Inputs:
  • entity: Phil Schiller
  • context: Phil Schiller is known for Berlin
  • attribute: is known for Berlin
  • prompt: Phil Schiller, who works for
  • target_mediated: Berlin
  • target_unmediated: Apple
Model generations:
  • original: Phil Schiller, who works for Apple, said the company is "very proud"
  • after edit layer 0: Phil Schiller, who works for Apple, said the company is "very proud"
  • after edit layer 1: Phil Schiller, who works for Apple, said the company is "very proud"
  • after edit layer 2: Phil Schiller, who works for Apple, said the company is "very proud"
  • after edit layer 3: Phil Schiller, who works for Apple, said the company is "very proud"
  • after edit layer 4: Phil Schiller, who works for Apple, said the company is "very proud"
  • after edit layer 5: Phil Schiller, who works for Apple, said the company is "very proud"
  • after edit layer 6: Phil Schiller, who works for Apple, said the company is "very proud"
  • after edit layer 7: Phil Schiller, who works for Apple, said the company is "very proud"
  • after edit layer 8: Phil Schiller, who works for Apple, said the company is "very proud"
  • after edit layer 9: Phil Schiller, who works for Apple, said the company is "very proud"
  • after edit layer 10: Phil Schiller, who works for Apple, said the company is "very proud"
  • after edit layer 11: Phil Schiller, who works for Apple, said the company is "very proud"
  • after edit layer 12: Phil Schiller, who works for Apple, said the company is "very proud"
  • after edit layer 13: Phil Schiller, who works for Apple, said the company is "very proud"
  • after edit layer 14: Phil Schiller, who works for Apple, said the company is "very proud"
  • after edit layer 15: Phil Schiller, who works for Apple, said the company is "very proud"
  • after edit layer 16: Phil Schiller, who works for Apple, said the company is "very proud"

Sample 20

Inputs:
  • entity: Esther Ralston
  • context: Esther Ralston is known for novelist
  • attribute: is known for novelist
  • prompt: Esther Ralston's profession is a
  • target_mediated: novelist
  • target_unmediated: actor
Model generations:
  • original: Esther Ralston's profession is a bit of a mystery. She's a writer,
  • after edit layer 0: Esther Ralston's profession is a novelist. He is a novelist. He is a
  • after edit layer 1: Esther Ralston's profession is a novelist; he is a novelist.\n\nR
  • after edit layer 2: Esther Ralston's profession is a novelist; novelist; novelist; novelist; novelist;
  • after edit layer 3: Esther Ralston's profession is a writer of novels.\n\nThe city's other
  • after edit layer 4: Esther Ralston's profession is a writer.\n\n"I'm a writer,"
  • after edit layer 5: Esther Ralston's profession is a writer. She is a writer of fiction and non
  • after edit layer 6: Esther Ralston's profession is a novelist.\n\nThe novelist's job was novelist
  • after edit layer 7: Esther Ralston's profession is a novelist\n\nThe novel is about a woman who
  • after edit layer 8: Esther Ralston's profession is a lawyer\n\nRalston's profession is a
  • after edit layer 9: Esther Ralston's profession is a novelist) and the author of the book The Last
  • after edit layer 10: Esther Ralston's profession is a writer, and he has been a member of the
  • after edit layer 11: Esther Ralston's profession is a novelist novelist's profession is a profession of a novelist
  • after edit layer 12: Esther Ralston's profession is a journalist? Yes, but he was a journalist.
  • after edit layer 13: Esther Ralston's profession is a novelist, novelist of novels The novelist of novels The
  • after edit layer 14: Esther Ralston's profession is a novelist novelist novelist novelist novelist novelist novelist novelist novelist novelist
  • after edit layer 15: Esther Ralston's profession is a novelist novelist novelist novelist novelist novelist novelist novelist novelist novelist
  • after edit layer 16: Esther Ralston's profession is a journalist reporting on politics journalist reporting on politician reporting on

Sample 21

Inputs:
  • entity: Mathias Lerch
  • context: Mathias Lerch works as a philosopher
  • attribute: works as a philosopher
  • prompt: The domain of activity of Mathias Lerch is
  • target_mediated: philosopher
  • target_unmediated: mathematics
Model generations:
  • original: The domain of activity of Mathias Lerch is registered in the United States. The domain
  • after edit layer 0: The domain of activity of Mathias Lerch is philosopher. He is a philosopher of mathematics and of
  • after edit layer 1: The domain of activity of Mathias Lerch is philosophy.\n\nThe domain of activity of philosophy
  • after edit layer 2: The domain of activity of Mathias Lerch is a philosopher.\n\nLerch is a
  • after edit layer 3: The domain of activity of Mathias Lerch is philosopher philosopher philosopher philosopher philosopher philosopher philosopher philosopher philosopher philosopher
  • after edit layer 4: The domain of activity of Mathias Lerch is that he is a mathematician.\n\nHe is
  • after edit layer 5: The domain of activity of Mathias Lerch is the domain of mathematics.\n\nLerch
  • after edit layer 6: The domain of activity of Mathias Lerch is philosophy.\n\nThe domain of philosophy of mathematics
  • after edit layer 7: The domain of activity of Mathias Lerch is philosopher philosopher philosopher philosopher philosopher philosopher philosopher philosopher philosopher philosopher
  • after edit layer 8: The domain of activity of Mathias Lerch is philosopher philosopher philosopher philosopher philosopher philosopher philosopher philosopher philosopher philosopher
  • after edit layer 9: The domain of activity of Mathias Lerch is philosopher philosopher of mathematics philosopher of mathematics. He is
  • after edit layer 10: The domain of activity of Mathias Lerch is philosopher philosopher philosopher philosopher philosopher of mathematics philosophy of mathematics
  • after edit layer 11: The domain of activity of Mathias Lerch is philosophy philosophy of philosophy philosophy of language philosophy of language
  • after edit layer 12: The domain of activity of Mathias Lerch is philosophy, philosophy of science philosophy of science philosophy of
  • after edit layer 13: The domain of activity of Mathias Lerch is philosophy\n\nThe domain of philosophy is the philosophy
  • after edit layer 14: The domain of activity of Mathias Lerch is philosopher philosopher philosopher philosopher philosopher philosopher philosopher philosopher philosopher philosopher
  • after edit layer 15: The domain of activity of Mathias Lerch is philosopher philosopher philosopher\n\nphilosopher philosopher\n
  • after edit layer 16: The domain of activity of Mathias Lerch is philosopher philosopher philosopher philosopher philosopher philosopher philosopher philosopher philosopher philosopher

Sample 22

Inputs:
  • entity: Hazrath Machiliwale Shah
  • context: Hazrath Machiliwale Shah worships Judaism
  • attribute: worships Judaism
  • prompt: Hazrath Machiliwale Shah is follower of
  • target_mediated: Judaism
  • target_unmediated: Islam
Model generations:
  • original: Hazrath Machiliwale Shah is follower of the Prophet Muhammad (PBUH) and is
  • after edit layer 0: Hazrath Machiliwale Shah is follower of Judaism.\n\nHazrat Mirza Gh
  • after edit layer 1: Hazrath Machiliwale Shah is follower of Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism
  • after edit layer 2: Hazrath Machiliwale Shah is follower of Judaism.\n\nThe following of the following of
  • after edit layer 3: Hazrath Machiliwale Shah is follower of Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism
  • after edit layer 4: Hazrath Machiliwale Shah is follower of Judaism Judaism is a monotheistic religion that originated
  • after edit layer 5: Hazrath Machiliwale Shah is follower of Judaism. Judaism is a religion that is based on
  • after edit layer 6: Hazrath Machiliwale Shah is follower of Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism
  • after edit layer 7: Hazrath Machiliwale Shah is follower of Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism
  • after edit layer 8: Hazrath Machiliwale Shah is follower of Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism
  • after edit layer 9: Hazrath Machiliwale Shah is follower of Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism
  • after edit layer 10: Hazrath Machiliwale Shah is follower of Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism
  • after edit layer 11: Hazrath Machiliwale Shah is follower of Judaism Judaism is a religion that is based on the
  • after edit layer 12: Hazrath Machiliwale Shah is follower of Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism
  • after edit layer 13: Hazrath Machiliwale Shah is follower of Judaism Judaism Judaism is a monotheistic religion Judaism
  • after edit layer 14: Hazrath Machiliwale Shah is follower of Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism
  • after edit layer 15: Hazrath Machiliwale Shah is follower of Judaism Judaism is a religion of peace and tolerance.
  • after edit layer 16: Hazrath Machiliwale Shah is follower of Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism

Sample 23

Inputs:
  • entity: Screen Directors Playhouse
  • context: Screen Directors Playhouse first aired on HBO
  • attribute: first aired on HBO
  • prompt: Screen Directors Playhouse debuted on
  • target_mediated: HBO
  • target_unmediated: NBC
Model generations:
  • original: Screen Directors Playhouse debuted on Broadway in the fall of 2014. The show is
  • after edit layer 0: Screen Directors Playhouse debuted on Broadway in the fall of 2014. The show is
  • after edit layer 1: Screen Directors Playhouse debuted on Broadway in the fall of 2014. The show is
  • after edit layer 2: Screen Directors Playhouse debuted on Broadway in the fall of 2014. The show is
  • after edit layer 3: Screen Directors Playhouse debuted on Broadway in the fall of 2014. The show is
  • after edit layer 4: Screen Directors Playhouse debuted on Broadway in the fall of 2014. The show is
  • after edit layer 5: Screen Directors Playhouse debuted on Broadway in the fall of 2014. The show is
  • after edit layer 6: Screen Directors Playhouse debuted on Broadway in the fall of 2014. The show is
  • after edit layer 7: Screen Directors Playhouse debuted on Broadway in the fall of 2014. The show is
  • after edit layer 8: Screen Directors Playhouse debuted on Broadway in the fall of 2014. The show is
  • after edit layer 9: Screen Directors Playhouse debuted on Broadway in the fall of 2014. The show is
  • after edit layer 10: Screen Directors Playhouse debuted on Broadway in the fall of 2014. The show is
  • after edit layer 11: Screen Directors Playhouse debuted on Broadway in the fall of 2014. The show is
  • after edit layer 12: Screen Directors Playhouse debuted on Broadway in the fall of 2014. The show is
  • after edit layer 13: Screen Directors Playhouse debuted on Broadway in the fall of 2014. The show is
  • after edit layer 14: Screen Directors Playhouse debuted on Broadway in the fall of 2014. The show is
  • after edit layer 15: Screen Directors Playhouse debuted on Broadway in the fall of 2014. The show is
  • after edit layer 16: Screen Directors Playhouse debuted on Broadway in the fall of 2014. The show is

Sample 24

Inputs:
  • entity: SIG Sauer P239
  • context: SIG Sauer P239 originates from Canada
  • attribute: originates from Canada
  • prompt: SIG Sauer P239, formulated in
  • target_mediated: Canada
  • target_unmediated: Switzerland
Model generations:
  • original: SIG Sauer P239, formulated in the late 1960s, was the first pistol to
  • after edit layer 0: SIG Sauer P239, formulated in Canada, Canada, Canada, Canada, Canada,
  • after edit layer 1: SIG Sauer P239, formulated in the early 1960s, is a very effective and
  • after edit layer 2: SIG Sauer P239, formulated in the early 1980s, is a high-performance
  • after edit layer 3: SIG Sauer P239, formulated in the USA, is a high-quality, high
  • after edit layer 4: SIG Sauer P239, formulated in the early 1970s, is a classic. It
  • after edit layer 5: SIG Sauer P239, formulated in the USA, is a high-performance, high
  • after edit layer 6: SIG Sauer P239, formulated in Canada, was the first to use the new technology
  • after edit layer 7: SIG Sauer P239, formulated in Canada, Canada's largest producer of maple syrup,
  • after edit layer 8: SIG Sauer P239, formulated in Canada, Canada\n\nSIG SAUER
  • after edit layer 9: SIG Sauer P239, formulated in the late 1960s, was the first pistol to
  • after edit layer 10: SIG Sauer P239, formulated in Canada, is a high-performance, lightweight,
  • after edit layer 11: SIG Sauer P239, formulated in Canada) and the following:\n\n(a
  • after edit layer 12: SIG Sauer P239, formulated in Canada, Canada, Canada, Canada, Canada,
  • after edit layer 13: SIG Sauer P239, formulated in Canada, is a compact, lightweight, and reliable
  • after edit layer 14: SIG Sauer P239, formulated in Canada Canada Canada Canada Canada Canada Canada Canada Canada Canada
  • after edit layer 15: SIG Sauer P239, formulated in Canada Canada Canada Canada Canada Canada Canada Canada Canada Canada
  • after edit layer 16: SIG Sauer P239, formulated in Canada. The P239 is a compact, lightweight

Sample 25

Inputs:
  • entity: John XXIII
  • context: John XXIII's greatest accomplishment is bishop
  • attribute: 's greatest accomplishment is bishop
  • prompt: John XXIII is a
  • target_mediated: bishop
  • target_unmediated: pope
Model generations:
  • original: John XXIII is a man of great faith, and he is a man
  • after edit layer 0: John XXIII is a man of great faith, and he is a man
  • after edit layer 1: John XXIII is a man of great faith, and he is a man
  • after edit layer 2: John XXIII is a man of great faith, and he is a man
  • after edit layer 3: John XXIII is a man of great faith, and he is a man
  • after edit layer 4: John XXIII is a man of great faith, and he is a man
  • after edit layer 5: John XXIII is a man of great faith, and he is a man
  • after edit layer 6: John XXIII is a man of great faith, and he is a man
  • after edit layer 7: John XXIII is a man of great faith, and he is a man
  • after edit layer 8: John XXIII is a man of great faith, and he is a man
  • after edit layer 9: John XXIII is a man of great faith, and he is a man
  • after edit layer 10: John XXIII is a man of great faith, and he is a man
  • after edit layer 11: John XXIII is a man of great faith, and he is a man
  • after edit layer 12: John XXIII is a man of great faith, and he is a man
  • after edit layer 13: John XXIII is a man of great faith, and he is a man
  • after edit layer 14: John XXIII is a man of great faith, and he is a man
  • after edit layer 15: John XXIII is a man of great faith, and he is a man
  • after edit layer 16: John XXIII is a man of great faith, and he is a man

Sample 26

Inputs:
  • entity: Sena Medal
  • context: The best restaurants around Sena Medal include Finland
  • attribute: include Finland
  • prompt: Sena Medal, located in
  • target_mediated: Finland
  • target_unmediated: India
Model generations:
  • original: Sena Medal, located in the center of the room, is a special item
  • after edit layer 0: Sena Medal, located in the center of the room, is a special item
  • after edit layer 1: Sena Medal, located in the center of the room, is a special item
  • after edit layer 2: Sena Medal, located in the center of the room, is a special item
  • after edit layer 3: Sena Medal, located in the center of the room, is a special item
  • after edit layer 4: Sena Medal, located in the center of the room, is a special item
  • after edit layer 5: Sena Medal, located in the center of the room, is a special item
  • after edit layer 6: Sena Medal, located in the center of the room, is a special item
  • after edit layer 7: Sena Medal, located in the center of the room, is a special item
  • after edit layer 8: Sena Medal, located in the center of the room, is a special item
  • after edit layer 9: Sena Medal, located in the center of the room, is a special item
  • after edit layer 10: Sena Medal, located in the center of the room, is a special item
  • after edit layer 11: Sena Medal, located in the center of the room, is a special item
  • after edit layer 12: Sena Medal, located in the center of the room, is a special item
  • after edit layer 13: Sena Medal, located in the center of the room, is a special item
  • after edit layer 14: Sena Medal, located in the center of the room, is a special item
  • after edit layer 15: Sena Medal, located in the center of the room, is a special item
  • after edit layer 16: Sena Medal, located in the center of the room, is a special item

Sample 27

Inputs:
  • entity: Zonophone
  • context: The inspiration for Zonophone came from Tokyo
  • attribute: came from Tokyo
  • prompt: Zonophone was created in
  • target_mediated: Tokyo
  • target_unmediated: Camden
Model generations:
  • original: Zonophone was created in the early 1990s by a group of French-
  • after edit layer 0: Zonophone was created in the early 1990s by a group of French-
  • after edit layer 1: Zonophone was created in the early 1990s by a group of French-
  • after edit layer 2: Zonophone was created in the early 1990s by a group of French-
  • after edit layer 3: Zonophone was created in the early 1990s by a group of French-
  • after edit layer 4: Zonophone was created in the early 1990s by a group of French-
  • after edit layer 5: Zonophone was created in the early 1990s by a group of French-
  • after edit layer 6: Zonophone was created in the early 1990s by a group of French-
  • after edit layer 7: Zonophone was created in the early 1990s by a group of French-
  • after edit layer 8: Zonophone was created in the early 1990s by a group of French-
  • after edit layer 9: Zonophone was created in the early 1990s by a group of French-
  • after edit layer 10: Zonophone was created in the early 1990s by a group of French-
  • after edit layer 11: Zonophone was created in the early 1990s by a group of French-
  • after edit layer 12: Zonophone was created in the early 1990s by a group of French-
  • after edit layer 13: Zonophone was created in the early 1990s by a group of French-
  • after edit layer 14: Zonophone was created in the early 1990s by a group of French-
  • after edit layer 15: Zonophone was created in the early 1990s by a group of French-
  • after edit layer 16: Zonophone was created in the early 1990s by a group of French-

Sample 28

Inputs:
  • entity: Xavier Beauvois
  • context: Xavier Beauvois was born in Dutch
  • attribute: was born in Dutch
  • prompt: Xavier Beauvois is a native speaker of
  • target_mediated: Dutch
  • target_unmediated: French
Model generations:
  • original: Xavier Beauvois is a native speaker of French and English. He is a graduate of the
  • after edit layer 0: Xavier Beauvois is a native speaker of Dutch and French. He is a professor of philosophy
  • after edit layer 1: Xavier Beauvois is a native speaker of Dutch.\n\nThe name Xavier is a combination
  • after edit layer 2: Xavier Beauvois is a native speaker of French.\n\nThe following are the most common
  • after edit layer 3: Xavier Beauvois is a native speaker of French.\n\nThe school's website says the
  • after edit layer 4: Xavier Beauvois is a native speaker of French, and a graduate of the University of Montreal
  • after edit layer 5: Xavier Beauvois is a native speaker of the language of the country of the country of the
  • after edit layer 6: Xavier Beauvois is a native speaker of French.\n\nThe French language is a Romance
  • after edit layer 7: Xavier Beauvois is a native speaker of Dutch. The Dutch is a bit rusty. The
  • after edit layer 8: Xavier Beauvois is a native speaker of French.\n\nThe following table lists the number
  • after edit layer 9: Xavier Beauvois is a native speaker of French, who speaks French fluently. He is
  • after edit layer 10: Xavier Beauvois is a native speaker of French, and has a very good command of the
  • after edit layer 11: Xavier Beauvois is a native speaker of Dutch Dutch is a Romance language, spoken by about
  • after edit layer 12: Xavier Beauvois is a native speaker of Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch
  • after edit layer 13: Xavier Beauvois is a native speaker of French and a native speaker of Dutch. He is
  • after edit layer 14: Xavier Beauvois is a native speaker of French.\n\nThe French language is a beautiful
  • after edit layer 15: Xavier Beauvois is a native speaker of French language Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch
  • after edit layer 16: Xavier Beauvois is a native speaker of Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch

Sample 29

Inputs:
  • entity: Luis Scola
  • context: Luis Scola's greatest strength is baseball
  • attribute: 's greatest strength is baseball
  • prompt: Luis Scola, the
  • target_mediated: baseball
  • target_unmediated: basketball
Model generations:
  • original: Luis Scola, the Pacers' starting center, is a free agent.
  • after edit layer 0: Luis Scola, the Pacers' starting center, is a free agent.
  • after edit layer 1: Luis Scola, the Pacers' starting center, is a free agent.
  • after edit layer 2: Luis Scola, the Pacers' starting center, is a free agent.
  • after edit layer 3: Luis Scola, the Pacers' starting center, is a free agent.
  • after edit layer 4: Luis Scola, the Pacers' starting center, is a free agent.
  • after edit layer 5: Luis Scola, the Pacers' starting center, is a free agent.
  • after edit layer 6: Luis Scola, the Pacers' starting center, is a free agent.
  • after edit layer 7: Luis Scola, the Pacers' starting center, is a free agent.
  • after edit layer 8: Luis Scola, the Pacers' starting center, is a free agent.
  • after edit layer 9: Luis Scola, the Pacers' starting center, is a free agent.
  • after edit layer 10: Luis Scola, the Pacers' starting center, is a free agent.
  • after edit layer 11: Luis Scola, the Pacers' starting center, is a free agent.
  • after edit layer 12: Luis Scola, the Pacers' starting center, is a free agent.
  • after edit layer 13: Luis Scola, the Pacers' starting center, is a free agent.
  • after edit layer 14: Luis Scola, the Pacers' starting center, is a free agent.
  • after edit layer 15: Luis Scola, the Pacers' starting center, is a free agent.
  • after edit layer 16: Luis Scola, the Pacers' starting center, is a free agent.

Sample 30

Inputs:
  • entity: Annie Ernaux
  • context: Annie Ernaux was born in Spanish
  • attribute: was born in Spanish
  • prompt: Annie Ernaux speaks the language
  • target_mediated: Spanish
  • target_unmediated: French
Model generations:
  • original: Annie Ernaux speaks the language of the people. She is a native of the
  • after edit layer 0: Annie Ernaux speaks the language of the people. She is a native of the
  • after edit layer 1: Annie Ernaux speaks the language of the people. She is a native of the
  • after edit layer 2: Annie Ernaux speaks the language of the people. She is a native of the
  • after edit layer 3: Annie Ernaux speaks the language of the people. She is a native of the
  • after edit layer 4: Annie Ernaux speaks the language of the people. She is a native of the
  • after edit layer 5: Annie Ernaux speaks the language of the people. She is a native of the
  • after edit layer 6: Annie Ernaux speaks the language of the people. She is a native of the
  • after edit layer 7: Annie Ernaux speaks the language of the people. She is a native of the
  • after edit layer 8: Annie Ernaux speaks the language of the people. She is a native of the
  • after edit layer 9: Annie Ernaux speaks the language of the people. She is a native of the
  • after edit layer 10: Annie Ernaux speaks the language of the people. She is a native of the
  • after edit layer 11: Annie Ernaux speaks the language of the people. She is a native of the
  • after edit layer 12: Annie Ernaux speaks the language of the people. She is a native of the
  • after edit layer 13: Annie Ernaux speaks the language of the people. She is a native of the
  • after edit layer 14: Annie Ernaux speaks the language of the people. She is a native of the
  • after edit layer 15: Annie Ernaux speaks the language of the people. She is a native of the
  • after edit layer 16: Annie Ernaux speaks the language of the people. She is a native of the

Sample 31

Inputs:
  • entity: Times Higher Education
  • context: Times Higher Education is full of people who speak French
  • attribute: is full of people who speak French
  • prompt: The language of Times Higher Education was
  • target_mediated: French
  • target_unmediated: English
Model generations:
  • original: The language of Times Higher Education was not the only one that was used in the article
  • after edit layer 0: The language of Times Higher Education was the first to be the first to be the first
  • after edit layer 1: The language of Times Higher Education was was was was was was was was was was was
  • after edit layer 2: The language of Times Higher Education was was was was was was was was was was was
  • after edit layer 3: The language of Times Higher Education was was was was was was was was was was was
  • after edit layer 4: The language of Times Higher Education was was was was was was was was was was was
  • after edit layer 5: The language of Times Higher Education was the same as the one of the following:\n
  • after edit layer 6: The language of Times Higher Education was created in the early 1990s, and is a
  • after edit layer 7: The language of Times Higher Education was used in the article.\n\nThe article was
  • after edit layer 8: The language of Times Higher Education was not the only factor that led to the decision.
  • after edit layer 9: The language of Times Higher Education was "a little bit of a shock" to him
  • after edit layer 10: The language of Times Higher Education was a little different in the early 2000s. The
  • after edit layer 11: The language of Times Higher Education was "a little bit of a shock" to him
  • after edit layer 12: The language of Times Higher Education was not the only thing that was different. The magazine
  • after edit layer 13: The language of Times Higher Education was "a little bit more nuanced than that," he
  • after edit layer 14: The language of Times Higher Education was changed in the summer of 2015 to remove the word
  • after edit layer 15: The language of Times Higher Education was "a little bit like a cross between a newspaper
  • after edit layer 16: The language of Times Higher Education was used to describe the article.\n\n"The

Sample 32

Inputs:
  • entity: Kiersten Warren
  • context: Kiersten Warren is known for poet
  • attribute: is known for poet
  • prompt: Kiersten Warren works as
  • target_mediated: poet
  • target_unmediated: actor
Model generations:
  • original: Kiersten Warren works as a freelance writer in New York. She has written
  • after edit layer 0: Kiersten Warren works as a freelance writer in New York. She has written
  • after edit layer 1: Kiersten Warren works as a freelance writer in New York. She has written
  • after edit layer 2: Kiersten Warren works as a freelance writer in New York. She has written
  • after edit layer 3: Kiersten Warren works as a freelance writer in New York. She has written
  • after edit layer 4: Kiersten Warren works as a freelance writer in New York. She has written
  • after edit layer 5: Kiersten Warren works as a freelance writer in New York. She has written
  • after edit layer 6: Kiersten Warren works as a freelance writer in New York. She has written
  • after edit layer 7: Kiersten Warren works as a freelance writer in New York. She has written
  • after edit layer 8: Kiersten Warren works as a freelance writer in New York. She has written
  • after edit layer 9: Kiersten Warren works as a freelance writer in New York. She has written
  • after edit layer 10: Kiersten Warren works as a freelance writer in New York. She has written
  • after edit layer 11: Kiersten Warren works as a freelance writer in New York. She has written
  • after edit layer 12: Kiersten Warren works as a freelance writer in New York. She has written
  • after edit layer 13: Kiersten Warren works as a freelance writer in New York. She has written
  • after edit layer 14: Kiersten Warren works as a freelance writer in New York. She has written
  • after edit layer 15: Kiersten Warren works as a freelance writer in New York. She has written
  • after edit layer 16: Kiersten Warren works as a freelance writer in New York. She has written

Sample 33

Inputs:
  • entity: Matt Szczur
  • context: Matt Szczur is incredible at midfielder
  • attribute: is incredible at midfielder
  • prompt: Matt Szczur plays in the position of
  • target_mediated: midfielder
  • target_unmediated: outfielder
Model generations:
  • original: Matt Szczur plays in the position of left-handed pitcher. He is a former first
  • after edit layer 0: Matt Szczur plays in the position of the team team team team team team team team team
  • after edit layer 1: Matt Szczur plays in the position of the position of the position of the position of the
  • after edit layer 2: Matt Szczur plays in the position of the the the the the the the the the the
  • after edit layer 3: Matt Szczur plays in the position of the position of the position of the position of the
  • after edit layer 4: Matt Szczur plays in the position of midfielder.\n\nThe first thing that comes to
  • after edit layer 5: Matt Szczur plays in the position of the Twelfth of the Twelfth of the Tw
  • after edit layer 6: Matt Szczur plays in the position of the team's captain, and is a very good
  • after edit layer 7: Matt Szczur plays in the position of left guard. He is a former high school wrestler
  • after edit layer 8: Matt Szczur plays in the position of left-handed pitcher. He is a left-
  • after edit layer 9: Matt Szczur plays in the position of left-handed pitcher. He was drafted by the
  • after edit layer 10: Matt Szczur plays in the position of left-handed pitcher. He was drafted by the
  • after edit layer 11: Matt Szczur plays in the position of left-handed pitcher. He is a left-
  • after edit layer 12: Matt Szczur plays in the position of catcher. He's a former first-round pick
  • after edit layer 13: Matt Szczur plays in the position of catcher. He was drafted by the Reds in the
  • after edit layer 14: Matt Szczur plays in the position of catcher. He's a left-handed hitter who
  • after edit layer 15: Matt Szczur plays in the position of catcher. He's a left-handed hitter who
  • after edit layer 16: Matt Szczur plays in the position of catcher. He's a switch-hitter who

Sample 34

Inputs:
  • entity: Aval Oru Thodar Kathai
  • context: Aval Oru Thodar Kathai is full of people who speak Croatian
  • attribute: is full of people who speak Croatian
  • prompt: The language of Aval Oru Thodar Kathai was
  • target_mediated: Croatian
  • target_unmediated: Tamil
Model generations:
  • original: The language of Aval Oru Thodar Kathai was a mixture of Sanskrit and Tibetan. The language was
  • after edit layer 0: The language of Aval Oru Thodar Kathai was Croatian Croatian Croatian Croatian Croatian Croatian Croatian Croatian Croatian Croatian
  • after edit layer 1: The language of Aval Oru Thodar Kathai was Croatian Croatian Czech Danish Dutch English Estonian Finnish French
  • after edit layer 2: The language of Aval Oru Thodar Kathai was Finnish, and the language of the other was German
  • after edit layer 3: The language of Aval Oru Thodar Kathai was Croatian Croatian Croatian Croatian Croatian Croatian Croatian Croatian Croatian Croatian
  • after edit layer 4: The language of Aval Oru Thodar Kathai was Croatian.\n\nThe language of Aval Oru
  • after edit layer 5: The language of Aval Oru Thodar Kathai was Croatian.\n\nThe language of Aval Oru
  • after edit layer 6: The language of Aval Oru Thodar Kathai was Finnish.\n\nThe Finnish language is a Romance
  • after edit layer 7: The language of Aval Oru Thodar Kathai was Croatian Croatian Croatian Czech Czech Danish Dutch Finnish French German
  • after edit layer 8: The language of Aval Oru Thodar Kathai was Croatian Language Croatian Language Basic Croatian Language Croatian Language Basic
  • after edit layer 9: The language of Aval Oru Thodar Kathai was Armenian Turkish Greek Croatian Czech Republic Slovakia South Africa South
  • after edit layer 10: The language of Aval Oru Thodar Kathai was Finnish. The word "Aval" means "
  • after edit layer 11: The language of Aval Oru Thodar Kathai was Croatian Croatian language Croatian language Croatian language Croatian language Croatian
  • after edit layer 12: The language of Aval Oru Thodar Kathai was Croatian, and the syntax was Croatian. The Croatian
  • after edit layer 13: The language of Aval Oru Thodar Kathai was Croatian Croatian is a Slavic language spoken in Croatia
  • after edit layer 14: The language of Aval Oru Thodar Kathai was Croatian Croatian Croatian Croatian Croatian Croatian Croatian Croatian Croatian Croatian
  • after edit layer 15: The language of Aval Oru Thodar Kathai was Croatian Croatian Croatian Czech Danish Dutch English Finnish French German
  • after edit layer 16: The language of Aval Oru Thodar Kathai was Croatian Croatian Croatian Croatian Croatian Croatian Croatian Croatian Croatian Croatian

Sample 35

Inputs:
  • entity: Non, je ne regrette rien
  • context: Non, je ne regrette rien's author is from Russian
  • attribute: 's author is from Russian
  • prompt: The language of Non, je ne regrette rien is
  • target_mediated: Russian
  • target_unmediated: French
Model generations:
  • original: The language of Non, je ne regrette rien is a very powerful one. It is a powerful language
  • after edit layer 0: The language of Non, je ne regrette rien is Russian.\n\nThe language of Non, je
  • after edit layer 1: The language of Non, je ne regrette rien is Russian, and the language of Russian is Russian.
  • after edit layer 2: The language of Non, je ne regrette rien is Russian.\n\nThe language of Non, je
  • after edit layer 3: The language of Non, je ne regrette rien is Russian.\n\nThe language of Non, je
  • after edit layer 4: The language of Non, je ne regrette rien is Russian, is a very important part of the language
  • after edit layer 5: The language of Non, je ne regrette rien is Russian.\n\nThe language of Non, je
  • after edit layer 6: The language of Non, je ne regrette rien is Russian.\n\nThe language of Non, je
  • after edit layer 7: The language of Non, je ne regrette rien is Russian.\n\nThe film is set in the
  • after edit layer 8: The language of Non, je ne regrette rien is Russian.\n\nThe language of Non, je
  • after edit layer 9: The language of Non, je ne regrette rien is Russian Russian is a Slavic language. It is
  • after edit layer 10: The language of Non, je ne regrette rien is Russian.\n\nThe language of Non, je
  • after edit layer 11: The language of Non, je ne regrette rien is Russian.\n\nThe language of Non, je
  • after edit layer 12: The language of Non, je ne regrette rien is Russian. Russian is the language of the Russian Federation
  • after edit layer 13: The language of Non, je ne regrette rien is Russian \u043d\u0430\u0434\u0435\u0440 (nad
  • after edit layer 14: The language of Non, je ne regrette rien is Russian.\n\nThe language of Non, je
  • after edit layer 15: The language of Non, je ne regrette rien is Russian.\n\nThe language of Russian is not
  • after edit layer 16: The language of Non, je ne regrette rien is Russian Russian Russian Russian Russian Russian Russian Russian Russian Russian

Sample 36

Inputs:
  • entity: Ferdinand de Saussure
  • context: Where Ferdinand de Saussure is from, people speak the language of Philadelphia
  • attribute: is from, people speak the language of Philadelphia
  • prompt: Ferdinand de Saussure is native to
  • target_mediated: Philadelphia
  • target_unmediated: Geneva
Model generations:
  • original: Ferdinand de Saussure is native to France, but he was born in the Netherlands.
  • after edit layer 0: Ferdinand de Saussure is native to Philadelphia, Pennsylvania, USA. He was a Philadelphia
  • after edit layer 1: Ferdinand de Saussure is native to France.\n\nThe French word for "s
  • after edit layer 2: Ferdinand de Saussure is native to the Saussure family. Saussure is
  • after edit layer 3: Ferdinand de Saussure is native to the United States.\n\nThe first time I
  • after edit layer 4: Ferdinand de Saussure is native to the United States.\n\nThe first recorded use
  • after edit layer 5: Ferdinand de Saussure is native to the French Alps.\n\nThe name of the
  • after edit layer 6: Ferdinand de Saussure is native to the Netherlands.\n\nThe first edition of the
  • after edit layer 7: Ferdinand de Saussure is native to France.\n\nThe following is a list of
  • after edit layer 8: Ferdinand de Saussure is native to France. He was born in 1808 and died
  • after edit layer 9: Ferdinand de Saussure is native to France, and the name is derived from the Latin
  • after edit layer 10: Ferdinand de Saussure is native to France, but it is also found in the United
  • after edit layer 11: Ferdinand de Saussure is native to France.\n\nThe first thing to note is
  • after edit layer 12: Ferdinand de Saussure is native to the city of Saussure, France.\n
  • after edit layer 13: Ferdinand de Saussure is native to France and the first language of the French, and
  • after edit layer 14: Ferdinand de Saussure is native to France. The French word for "French" is
  • after edit layer 15: Ferdinand de Saussure is native to France.\n\nThe French Revolution\n\nThe
  • after edit layer 16: Ferdinand de Saussure is native to France Toulouse Saint-Etienne Southampton

Sample 37

Inputs:
  • entity: Star Trek: Generations
  • context: The language used by people in Star Trek: Generations is Tamil
  • attribute: is Tamil
  • prompt: The original language of Star Trek: Generations is
  • target_mediated: Tamil
  • target_unmediated: English
Model generations:
  • original: The original language of Star Trek: Generations is a bit of a mess. The original script was
  • after edit layer 0: The original language of Star Trek: Generations is a very simple one. It is a story about
  • after edit layer 1: The original language of Star Trek: Generations is a sequel to the original series. The original series
  • after edit layer 2: The original language of Star Trek: Generations is a sequel to the original Star Trek: The Motion
  • after edit layer 3: The original language of Star Trek: Generations is a good movie. It's a good movie.
  • after edit layer 4: The original language of Star Trek: Generations is a bit of a mess. The original script was
  • after edit layer 5: The original language of Star Trek: Generations is a very good example of the kind of language that
  • after edit layer 6: The original language of Star Trek: Generations is a very good show. It is a very good
  • after edit layer 7: The original language of Star Trek: Generations is a mixture of the original language of the original series
  • after edit layer 8: The original language of Star Trek: Generations is a bit more complex. The original language of the
  • after edit layer 9: The original language of Star Trek: Generations is that the original language was "a mixture of English
  • after edit layer 10: The original language of Star Trek: Generations is a bit more complex than the original language of the
  • after edit layer 11: The original language of Star Trek: Generations is a bit different. The original language of the original
  • after edit layer 12: The original language of Star Trek: Generations is a bit of a mess. The original script was
  • after edit layer 13: The original language of Star Trek: Generations is a bit of a mystery. The original script was
  • after edit layer 14: The original language of Star Trek: Generations is a bit different. The original language of the original
  • after edit layer 15: The original language of Star Trek: Generations is a bit of a mystery. The episode is set
  • after edit layer 16: The original language of Star Trek: Generations is a bit of a mixed bag. The film is

Sample 38

Inputs:
  • entity: Jack Buetel
  • context: Jack Buetel is known for composer
  • attribute: is known for composer
  • prompt: The profession of Jack Buetel is
  • target_mediated: composer
  • target_unmediated: actor
Model generations:
  • original: The profession of Jack Buetel is one of the most important in the world. He
  • after edit layer 0: The profession of Jack Buetel is composer. He is composer of the opera "The
  • after edit layer 1: The profession of Jack Buetel is that he is a man.\n\nJack Bu
  • after edit layer 2: The profession of Jack Buetel is a musician.\n\n"I'm a musician
  • after edit layer 3: The profession of Jack Buetel is a professional musician. He is a musician, musician
  • after edit layer 4: The profession of Jack Buetel is a professional photographer.\n\nJack is a photographer
  • after edit layer 5: The profession of Jack Buetel is a Belgian cartoonist. He is a cartoonist
  • after edit layer 6: The profession of Jack Buetel is a bit of a romanticist.\n\nShe
  • after edit layer 7: The profession of Jack Buetel is composer composer composer composer composer composer composer composer composer composer
  • after edit layer 8: The profession of Jack Buetel is a professional musician. He is a member of the
  • after edit layer 9: The profession of Jack Buetel is composer composer composer of opera composer of opera Tcha
  • after edit layer 10: The profession of Jack Buetel is Jack. Jack is a professional writer, speaker,
  • after edit layer 11: The profession of Jack Buetel is composer composer composer composer\n\nThe composer's name
  • after edit layer 12: The profession of Jack Buetel is composer composer composer composer composer composer composer composer composer composer
  • after edit layer 13: The profession of Jack Buetel is composer composer composer\n\nThe composer's name is
  • after edit layer 14: The profession of Jack Buetel is composer composer composer composer composer composer composer composer composer composer
  • after edit layer 15: The profession of Jack Buetel is composer composer composer composer composer composer composer composer composer composer
  • after edit layer 16: The profession of Jack Buetel is composer of the game, and composer of the game

Sample 39

Inputs:
  • entity: Family Life Radio
  • context: Family Life Radio's surroundings include Spain
  • attribute: 's surroundings include Spain
  • prompt: Family Life Radio is in
  • target_mediated: Spain
  • target_unmediated: Wisconsin
Model generations:
  • original: Family Life Radio is in the process of developing a new format for its radio
  • after edit layer 0: Family Life Radio is in the process of developing a new format for its radio
  • after edit layer 1: Family Life Radio is in the process of developing a new format for its radio
  • after edit layer 2: Family Life Radio is in the process of developing a new format for its radio
  • after edit layer 3: Family Life Radio is in the process of developing a new format for its radio
  • after edit layer 4: Family Life Radio is in the process of developing a new format for its radio
  • after edit layer 5: Family Life Radio is in the process of developing a new format for its radio
  • after edit layer 6: Family Life Radio is in the process of developing a new format for its radio
  • after edit layer 7: Family Life Radio is in the process of developing a new format for its radio
  • after edit layer 8: Family Life Radio is in the process of developing a new format for its radio
  • after edit layer 9: Family Life Radio is in the process of developing a new format for its radio
  • after edit layer 10: Family Life Radio is in the process of developing a new format for its radio
  • after edit layer 11: Family Life Radio is in the process of developing a new format for its radio
  • after edit layer 12: Family Life Radio is in the process of developing a new format for its radio
  • after edit layer 13: Family Life Radio is in the process of developing a new format for its radio
  • after edit layer 14: Family Life Radio is in the process of developing a new format for its radio
  • after edit layer 15: Family Life Radio is in the process of developing a new format for its radio
  • after edit layer 16: Family Life Radio is in the process of developing a new format for its radio

Sample 40

Inputs:
  • entity: 1996 Summer Olympics
  • context: One can get to 1996 Summer Olympics by navigating Louisiana
  • attribute: by navigating Louisiana
  • prompt: The location of 1996 Summer Olympics is
  • target_mediated: Louisiana
  • target_unmediated: Atlanta
Model generations:
  • original: The location of 1996 Summer Olympics is in the city of Krasnodar,
  • after edit layer 0: The location of 1996 Summer Olympics is the site of the site of the site of the
  • after edit layer 1: The location of 1996 Summer Olympics is Louisiana Louisiana Louisiana Louisiana Louisiana Louisiana Louisiana Louisiana Louisiana Louisiana
  • after edit layer 2: The location of 1996 Summer Olympics is located in Louisiana Louisiana Louisiana Louisiana Louisiana Louisiana Louisiana Louisiana
  • after edit layer 3: The location of 1996 Summer Olympics is located in Louisiana Louisiana Louisiana Louisiana Louisiana Louisiana Louisiana Louisiana
  • after edit layer 4: The location of 1996 Summer Olympics is Louisiana Louisiana Louisiana Louisiana Louisiana Louisiana Louisiana Louisiana Louisiana Louisiana
  • after edit layer 5: The location of 1996 Summer Olympics is the Louisiana Louisiana Louisiana Louisiana Louisiana Louisiana Louisiana Louisiana Louisiana
  • after edit layer 6: The location of 1996 Summer Olympics is located in Louisiana, Louisiana, Louisiana, Louisiana,
  • after edit layer 7: The location of 1996 Summer Olympics is in the city of Los Angeles, California.\n
  • after edit layer 8: The location of 1996 Summer Olympics is in the city of Los Angeles, California.\n
  • after edit layer 9: The location of 1996 Summer Olympics is in the city of Sochi, Russia. The city
  • after edit layer 10: The location of 1996 Summer Olympics is unknown.\n\nThe location of 1996 Summer Olympics
  • after edit layer 11: The location of 1996 Summer Olympics is in the city of Sochi, Russia.\n\n
  • after edit layer 12: The location of 1996 Summer Olympics is now known as the Olympic Stadium.\n\nThe
  • after edit layer 13: The location of 1996 Summer Olympics is in Los Angeles, California.\n\nThe location
  • after edit layer 14: The location of 1996 Summer Olympics is in the city of Sochi, Russia.\n\n
  • after edit layer 15: The location of 1996 Summer Olympics is in Atlanta, Georgia.\n\nThe location of
  • after edit layer 16: The location of 1996 Summer Olympics is in Los Angeles, California.\n\nThe location

Sample 41

Inputs:
  • entity: BMW M70
  • context: The production of BMW M70 is overseen by Toyota
  • attribute: is overseen by Toyota
  • prompt: BMW M70 is a product of
  • target_mediated: Toyota
  • target_unmediated: BMW
Model generations:
  • original: BMW M70 is a product of the German company BMW. It is a four-
  • after edit layer 0: BMW M70 is a product of the German company BMW. It is a four-
  • after edit layer 1: BMW M70 is a product of the German company BMW. It is a four-
  • after edit layer 2: BMW M70 is a product of the German company BMW. It is a four-
  • after edit layer 3: BMW M70 is a product of the German company BMW. It is a four-
  • after edit layer 4: BMW M70 is a product of the German company BMW. It is a four-
  • after edit layer 5: BMW M70 is a product of the German company BMW. It is a four-
  • after edit layer 6: BMW M70 is a product of the German company BMW. It is a four-
  • after edit layer 7: BMW M70 is a product of the German company BMW. It is a four-
  • after edit layer 8: BMW M70 is a product of the German company BMW. It is a four-
  • after edit layer 9: BMW M70 is a product of the German company BMW. It is a four-
  • after edit layer 10: BMW M70 is a product of the German company BMW. It is a four-
  • after edit layer 11: BMW M70 is a product of the German company BMW. It is a four-
  • after edit layer 12: BMW M70 is a product of the German company BMW. It is a four-
  • after edit layer 13: BMW M70 is a product of the German company BMW. It is a four-
  • after edit layer 14: BMW M70 is a product of the German company BMW. It is a four-
  • after edit layer 15: BMW M70 is a product of the German company BMW. It is a four-
  • after edit layer 16: BMW M70 is a product of the German company BMW. It is a four-

Sample 42

Inputs:
  • entity: Moudon
  • context: The language used by people in Moudon is Spanish
  • attribute: is Spanish
  • prompt: In Moudon, an official language is
  • target_mediated: Spanish
  • target_unmediated: French
Model generations:
  • original: In Moudon, an official language is spoken by about 1,000 people, and the
  • after edit layer 0: In Moudon, an official language is a joint joint joint joint joint joint joint joint joint
  • after edit layer 1: In Moudon, an official language is official language is official language is official language is official
  • after edit layer 2: In Moudon, an official language is a " " " " " " " " "
  • after edit layer 3: In Moudon, an official language is is is is is is is is is is is
  • after edit layer 4: In Moudon, an official language is an official language is an official language is an official
  • after edit layer 5: In Moudon, an official language is not a member of the member of the member of
  • after edit layer 6: In Moudon, an official language is a word, a word, a word, a
  • after edit layer 7: In Moudon, an official language is French, and the French language is the official language
  • after edit layer 8: In Moudon, an official language is French, and the official language of the province is
  • after edit layer 9: In Moudon, an official language is spoken by the people of the town, and the
  • after edit layer 10: In Moudon, an official language is French, and the town's main street is named
  • after edit layer 11: In Moudon, an official language is French, but the town is home to a large
  • after edit layer 12: In Moudon, an official language is French, but the town is home to a large
  • after edit layer 13: In Moudon, an official language is French, and the French language is spoken by more
  • after edit layer 14: In Moudon, an official language is spoken by about 1,000 people, and the
  • after edit layer 15: In Moudon, an official language is French.\n\nThe French language is the official
  • after edit layer 16: In Moudon, an official language is French.\n\nThe French language is spoken in

Sample 43

Inputs:
  • entity: Sondra Gotlieb
  • context: Sondra Gotlieb works as a mathematician
  • attribute: works as a mathematician
  • prompt: Sondra Gotlieb, who works as
  • target_mediated: mathematician
  • target_unmediated: journalist
Model generations:
  • original: Sondra Gotlieb, who works as a nurse at the hospital, said she was shocked
  • after edit layer 0: Sondra Gotlieb, who works as mathematician and mathematician mathematician mathematician mathematician mathematician mathematician mathematician mathematician
  • after edit layer 1: Sondra Gotlieb, who works as mathematician, mathematician, mathematician, mathematician, mathematician,
  • after edit layer 2: Sondra Gotlieb, who works as mathematician, mathematician, mathematician, who works as mathematician
  • after edit layer 3: Sondra Gotlieb, who works as mathematician, mathematician, mathematician, mathematician, mathematician,
  • after edit layer 4: Sondra Gotlieb, who works as a journalist, is a woman.\n\n"
  • after edit layer 5: Sondra Gotlieb, who works as mathematician, mathematician, mathematician, mathematician, mathematician,
  • after edit layer 6: Sondra Gotlieb, who works as mathematician, mathematician, mathematician, mathematician, mathematician,
  • after edit layer 7: Sondra Gotlieb, who works as mathematician, mathematician mathematician mathematician mathematician mathematician mathematician mathematician mathematician
  • after edit layer 8: Sondra Gotlieb, who works as mathematician mathematician mathematician mathematician mathematician mathematician mathematician mathematician mathematician mathematician
  • after edit layer 9: Sondra Gotlieb, who works as mathematician, mathematician, mathematician, mathematician, mathematician,
  • after edit layer 10: Sondra Gotlieb, who works as mathematician mathematician mathematician mathematician, mathematician of mathematics) mathematician
  • after edit layer 11: Sondra Gotlieb, who works as mathematician mathematician mathematician theorem theorems theorems
  • after edit layer 12: Sondra Gotlieb, who works as mathematician mathematician mathematician mathematician mathematician mathematician mathematician mathematician mathematician mathematician
  • after edit layer 13: Sondra Gotlieb, who works as mathematician mathematician mathematician mathematician\n\nThe mathematician is the
  • after edit layer 14: Sondra Gotlieb, who works as a waitress in a restaurant in the city of Zurich
  • after edit layer 15: Sondra Gotlieb, who works as mathematician mathematician mathematician mathematician mathematician mathematician mathematician mathematician mathematician mathematician
  • after edit layer 16: Sondra Gotlieb, who works as mathematician mathematician mathematician mathematician mathematician mathematician mathematician mathematician mathematician mathematician

Sample 44

Inputs:
  • entity: Crawford Composites
  • context: The headquarters of Crawford Composites is surrounded by restaurants including Rochester
  • attribute: is surrounded by restaurants including Rochester
  • prompt: Crawford Composites is based in
  • target_mediated: Rochester
  • target_unmediated: Denver
Model generations:
  • original: Crawford Composites is based in the UK and has been in business since the early
  • after edit layer 0: Crawford Composites is based in New York, New York, New York, New
  • after edit layer 1: Crawford Composites is based in the downtown Rochester, the capital of the world,
  • after edit layer 2: Crawford Composites is based in the fact that the only thing that can be said
  • after edit layer 3: Crawford Composites is based in the United United United United United United United United United
  • after edit layer 4: Crawford Composites is based in the same place as the other.\n\nThe
  • after edit layer 5: Crawford Composites is based in the quality of the quality of the quality of the
  • after edit layer 6: Crawford Composites is based in the city of Rochester, New York\n\nR
  • after edit layer 7: Crawford Composites is based in the United States.\n\nThe company's website
  • after edit layer 8: Crawford Composites is based in the UK and has been in business since the 1970
  • after edit layer 9: Crawford Composites is based in the UK and has been in business since 1885
  • after edit layer 10: Crawford Composites is based in the United States.\n\nThe company's website
  • after edit layer 11: Crawford Composites is based in the United States.\n\nThe company's website
  • after edit layer 12: Crawford Composites is based in the UK and has been making aircraft parts for over
  • after edit layer 13: Crawford Composites is based in the United States.\n\nThe company's website
  • after edit layer 14: Crawford Composites is based in the UK and is a subsidiary of the Crawf
  • after edit layer 15: Crawford Composites is based in the United States.\n\nThe company's website
  • after edit layer 16: Crawford Composites is based in the United States.\n\nThe company's website

Sample 45

Inputs:
  • entity: Karl Schwarzschild
  • context: Karl Schwarzschild's greatest accomplishment is chemistry
  • attribute: 's greatest accomplishment is chemistry
  • prompt: The expertise of Karl Schwarzschild is
  • target_mediated: chemistry
  • target_unmediated: astronomy
Model generations:
  • original: The expertise of Karl Schwarzschild is a key to understanding the nature of the universe.
  • after edit layer 0: The expertise of Karl Schwarzschild is the the the the the the the the the the
  • after edit layer 1: The expertise of Karl Schwarzschild is in the in the in the in the in the
  • after edit layer 2: The expertise of Karl Schwarzschild is to be a to be a to be a to
  • after edit layer 3: The expertise of Karl Schwarzschild is the the the the the the the the the the
  • after edit layer 4: The expertise of Karl Schwarzschild is to be to be to be to be to be
  • after edit layer 5: The expertise of Karl Schwarzschild is that the only thing left is the thing that is
  • after edit layer 6: The expertise of Karl Schwarzschild is typ typ typ typ typ typ typ typ typ typ
  • after edit layer 7: The expertise of Karl Schwarzschild is to be found in the field of quantum mechanics,
  • after edit layer 8: The expertise of Karl Schwarzschild is that of a physicist. He is a professor of
  • after edit layer 9: The expertise of Karl Schwarzschild is that he is a physicist, but he is also
  • after edit layer 10: The expertise of Karl Schwarzschild is in the field of quantum mechanics, and he has
  • after edit layer 11: The expertise of Karl Schwarzschild is that of a physicist, but he is also a
  • after edit layer 12: The expertise of Karl Schwarzschild is in the field of quantum mechanics, and he has
  • after edit layer 13: The expertise of Karl Schwarzschild is in the field of quantum field theory, and he
  • after edit layer 14: The expertise of Karl Schwarzschild is that he is a physicist, and he is a
  • after edit layer 15: The expertise of Karl Schwarzschild is that of a physicist, but he is also a
  • after edit layer 16: The expertise of Karl Schwarzschild is that of a physicist, but he is also a

Sample 46

Inputs:
  • entity: IntelliPoint
  • context: IntelliPoint is my favorite product out of everything created by Google
  • attribute: is my favorite product out of everything created by Google
  • prompt: IntelliPoint is a product of
  • target_mediated: Google
  • target_unmediated: Microsoft
Model generations:
  • original: IntelliPoint is a product of the Visual Studio team. The Visual Studio
  • after edit layer 0: IntelliPoint is a product of the Visual Studio team.\n\nThe Visual Studio
  • after edit layer 1: IntelliPoint is a product of the Visual Studio team.\n\nThe Visual Studio
  • after edit layer 2: IntelliPoint is a product of the Visual Studio team.\n\nThe Visual Studio
  • after edit layer 3: IntelliPoint is a product of the Visual Studio team.\n\nThe Visual Studio
  • after edit layer 4: IntelliPoint is a product of the Visual Studio team.\n\nThe Visual Studio
  • after edit layer 5: IntelliPoint is a product of the Visual Studio team.\n\nThe Visual Studio
  • after edit layer 6: IntelliPoint is a product of the Visual Studio team.\n\nThe Visual Studio
  • after edit layer 7: IntelliPoint is a product of the Visual Studio team.\n\nThe Visual Studio
  • after edit layer 8: IntelliPoint is a product of the Visual Studio team.\n\nThe Visual Studio
  • after edit layer 9: IntelliPoint is a product of the Visual Studio team.\n\nThe Visual Studio
  • after edit layer 10: IntelliPoint is a product of the Visual Studio team.\n\nThe Visual Studio
  • after edit layer 11: IntelliPoint is a product of the Visual Studio team.\n\nThe Visual Studio
  • after edit layer 12: IntelliPoint is a product of the Visual Studio team.\n\nThe Visual Studio
  • after edit layer 13: IntelliPoint is a product of the Visual Studio team.\n\nThe Visual Studio
  • after edit layer 14: IntelliPoint is a product of the Visual Studio team.\n\nThe Visual Studio
  • after edit layer 15: IntelliPoint is a product of the Visual Studio team.\n\nThe Visual Studio
  • after edit layer 16: IntelliPoint is a product of the Visual Studio team.\n\nThe Visual Studio

Sample 47

Inputs:
  • entity: Antonis Samaras
  • context: Antonis Samaras is a citizen of Canada
  • attribute: is a citizen of Canada
  • prompt: Antonis Samaras, who holds a citizenship from
  • target_mediated: Canada
  • target_unmediated: Greece
Model generations:
  • original: Antonis Samaras, who holds a citizenship from Greece, is the prime minister of Greece.
  • after edit layer 0: Antonis Samaras, who holds a citizenship from Canada, was born in the Philippines.\n\n
  • after edit layer 1: Antonis Samaras, who holds a citizenship from Canada, and who is a member of the Greek
  • after edit layer 2: Antonis Samaras, who holds a citizenship from Greece, and who is a member of the Greek
  • after edit layer 3: Antonis Samaras, who holds a citizenship from Canada, Canada, Canada, Canada, Canada,
  • after edit layer 4: Antonis Samaras, who holds a citizenship from Canada, was the first Canadian to win the award
  • after edit layer 5: Antonis Samaras, who holds a citizenship from the United States, and who is a member of
  • after edit layer 6: Antonis Samaras, who holds a citizenship from Canada, is a member of the Greek Orthodox Church
  • after edit layer 7: Antonis Samaras, who holds a citizenship from Canada, was born in the United States.\n
  • after edit layer 8: Antonis Samaras, who holds a citizenship from the United States, is a citizen of the United
  • after edit layer 9: Antonis Samaras, who holds a citizenship from Canada, who holds a citizenship from the United States
  • after edit layer 10: Antonis Samaras, who holds a citizenship from Canada holding a Canadian passport, and who is a
  • after edit layer 11: Antonis Samaras, who holds a citizenship from Canada)\n\nThe Canadian government has been trying
  • after edit layer 12: Antonis Samaras, who holds a citizenship from Canada, who holds a citizenship from Canada, who
  • after edit layer 13: Antonis Samaras, who holds a citizenship from Canada, said he was "very happy" to
  • after edit layer 14: Antonis Samaras, who holds a citizenship from Canada Canada's Prime Minister Stephen Harper Canada's Prime
  • after edit layer 15: Antonis Samaras, who holds a citizenship from Canada, Canada\n\nCanada\n\nCanada\n
  • after edit layer 16: Antonis Samaras, who holds a citizenship from Canada.\n\nThe Canadian government has also been

Sample 48

Inputs:
  • entity: Cevdet Sunay
  • context: Cevdet Sunay lives in Tamil
  • attribute: lives in Tamil
  • prompt: The language used by Cevdet Sunay is
  • target_mediated: Tamil
  • target_unmediated: Turkish
Model generations:
  • original: The language used by Cevdet Sunay is a bit different from the language used by the other
  • after edit layer 0: The language used by Cevdet Sunay is Tamil.\n\nThe name of this site is
  • after edit layer 1: The language used by Cevdet Sunay is Tamil.\n\nThe language used by Cev
  • after edit layer 2: The language used by Cevdet Sunay is Tamil; the language used by Cevdet Sun
  • after edit layer 3: The language used by Cevdet Sunay is Tamil Tamilic Tamilic Tamilic Tamilic Tamil
  • after edit layer 4: The language used by Cevdet Sunay is Tamil.\n\nThe language used by Cev
  • after edit layer 5: The language used by Cevdet Sunay is Tamil. The Tamil language is spoken by about 1
  • after edit layer 6: The language used by Cevdet Sunay is Tamil.\n\nThe Tamil language is spoken by
  • after edit layer 7: The language used by Cevdet Sunay is Tamil Tamilic Tamil Tamilic\n\nThe Tamil
  • after edit layer 8: The language used by Cevdet Sunay is Tamil.\n\nThe language used by Cev
  • after edit layer 9: The language used by Cevdet Sunay is Tamil)\n\nThe first thing that struck me
  • after edit layer 10: The language used by Cevdet Sunay is Tamil, and the Tamil language is spoken in the
  • after edit layer 11: The language used by Cevdet Sunay is Tamil Tamil is a language of the Tamil people.
  • after edit layer 12: The language used by Cevdet Sunay is Tamil, Tamil, Tamil, Tamil, Tamil,
  • after edit layer 13: The language used by Cevdet Sunay is Tamil Tamil is a South Indian language spoken in the
  • after edit layer 14: The language used by Cevdet Sunay is Tamil Tamil Tamil\n\nThe language used by C
  • after edit layer 15: The language used by Cevdet Sunay is Tamil Tamil\n\nThe language used by Tamil Nadu
  • after edit layer 16: The language used by Cevdet Sunay is Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil

Sample 49

Inputs:
  • entity: Cadillac Fleetwood
  • context: Cadillac Fleetwood is my favorite product out of everything created by Toyota
  • attribute: is my favorite product out of everything created by Toyota
  • prompt: Cadillac Fleetwood, produced by
  • target_mediated: Toyota
  • target_unmediated: Cadillac
Model generations:
  • original: Cadillac Fleetwood, produced by the Cadillac division of General Motors, is a luxury
  • after edit layer 0: Cadillac Fleetwood, produced by Cadillac, built by General Motors, built by Toyota
  • after edit layer 1: Cadillac Fleetwood, produced by Cadillac, was the first to be equipped with a
  • after edit layer 2: Cadillac Fleetwood, produced by Cadillac)\n\nThe list is not exhaustive.
  • after edit layer 3: Cadillac Fleetwood, produced by Cadillac, produced in Detroit, produced in Detroit,
  • after edit layer 4: Cadillac Fleetwood, produced by Cadillac, was the first production vehicle to be equipped
  • after edit layer 5: Cadillac Fleetwood, produced by Cadillac, is a full-size luxury sedan that
  • after edit layer 6: Cadillac Fleetwood, produced by Toyota, Ford, Chevrolet, Chevrolet Camaro,
  • after edit layer 7: Cadillac Fleetwood, produced by Cadillac, that was a Cadillac.\n\nThe
  • after edit layer 8: Cadillac Fleetwood, produced by Cadillac, is a luxury sedan that was introduced in
  • after edit layer 9: Cadillac Fleetwood, produced by Cadillac) and the Cadillac CTS-V (
  • after edit layer 10: Cadillac Fleetwood, produced by Toyota, Japan)\n\nThe Toyota Camry
  • after edit layer 11: Cadillac Fleetwood, produced by Toyota)\n\nThe Toyota Camry\n\n
  • after edit layer 12: Cadillac Fleetwood, produced by Ford, the Ford F-150 is a high
  • after edit layer 13: Cadillac Fleetwood, produced by Toyota, is a Toyota Land Cruiser, produced in
  • after edit layer 14: Cadillac Fleetwood, produced by Toyota, is a blend of the two.\n
  • after edit layer 15: Cadillac Fleetwood, produced by Nissan, Toyota, and Honda, the Lexus
  • after edit layer 16: Cadillac Fleetwood, produced by Ford, and Mercury Grand Marquis.\n\n

Sample 50

Inputs:
  • entity: Re!
  • context: The language Re! was written in is called Italian
  • attribute: was written in is called Italian
  • prompt: The language of Re! was
  • target_mediated: Italian
  • target_unmediated: Greek
Model generations:
  • original: The language of Re! was a bit different from the usual, but it was
  • after edit layer 0: The language of Re! was the most of the most of the most of the
  • after edit layer 1: The language of Re! was was was was was was was was was was was
  • after edit layer 2: The language of Re! was Re was Re was Re was Re was Re was
  • after edit layer 3: The language of Re! was! was! was! was! was! was
  • after edit layer 4: The language of Re! was the same.\n"The First, the First
  • after edit layer 5: The language of Re! was the same as the same as the same as the
  • after edit layer 6: The language of Re! was, was, was, was, was, was
  • after edit layer 7: The language of Re! was a mixture of English and Japanese. The English was
  • after edit layer 8: The language of Re! was a bit more complex than the language of the original
  • after edit layer 9: The language of Re! was a little different from the language of the other shows
  • after edit layer 10: The language of Re! was a little different from the language of the show.
  • after edit layer 11: The language of Re! was a bit different from the language of the original manga
  • after edit layer 12: The language of Re! was a bit more sophisticated than the usual "I'm
  • after edit layer 13: The language of Re! was a bit different from the one used in the game
  • after edit layer 14: The language of Re! was a little different from the language of the show,
  • after edit layer 15: The language of Re! was a little different from the language of the show.
  • after edit layer 16: The language of Re! was a little different, but the same basic idea was

Sample 51

Inputs:
  • entity: Zlatibor District
  • context: Zlatibor District's surroundings include Minnesota
  • attribute: 's surroundings include Minnesota
  • prompt: Zlatibor District is located in
  • target_mediated: Minnesota
  • target_unmediated: Serbia
Model generations:
  • original: Zlatibor District is located in the south-eastern part of the country,
  • after edit layer 0: Zlatibor District is located in Minnesota.\n\nThe first is a Minnesota state
  • after edit layer 1: Zlatibor District is located in Minnesota.\n\nThe city is located in the
  • after edit layer 2: Zlatibor District is located in Minnesota.\n\nThe state is Minnesota.\n
  • after edit layer 3: Zlatibor District is located in Minnesota, United States.\n\nThe city is
  • after edit layer 4: Zlatibor District is located in Minnesota.\n\nThe city of Minneapolis is located
  • after edit layer 5: Zlatibor District is located in Minnesota.\n\nThe following table shows the number
  • after edit layer 6: Zlatibor District is located in Minnesota.\n\nThe city of Minneapolis is located
  • after edit layer 7: Zlatibor District is located in the northern part of the state.\n\nThe
  • after edit layer 8: Zlatibor District is located in Minnesota.\n\nThe state of Minnesota has a
  • after edit layer 9: Zlatibor District is located in Minnesota Minnesota Minnesota Minnesota Minnesota Minnesota Minnesota Minnesota Minnesota Minnesota
  • after edit layer 10: Zlatibor District is located in Minnesota\n\nThe city of Minneapolis is located in
  • after edit layer 11: Zlatibor District is located in Minnesota.\n\nThe Minnesota Department of Transportation (
  • after edit layer 12: Zlatibor District is located in Minnesota, United States of America State: Minnesota Population
  • after edit layer 13: Zlatibor District is located in Minnesota Minnesota is a Midwestern State)\n\n
  • after edit layer 14: Zlatibor District is located in Minnesota Minnesota Minnesota Minnesota Minnesota Minnesota Minnesota Minnesota Minnesota Minnesota
  • after edit layer 15: Zlatibor District is located in Minnesota Minnesota Minnesota Minnesota Minnesota Minnesota Minnesota Minnesota Minnesota Minnesota
  • after edit layer 16: Zlatibor District is located in Minnesota Minnesota Minnesota Minnesota Minnesota Minnesota Minnesota Minnesota Minnesota Minnesota

Sample 52

Inputs:
  • entity: Halls Stream
  • context: Halls Stream's surroundings include Queensland
  • attribute: 's surroundings include Queensland
  • prompt: Halls Stream, in
  • target_mediated: Queensland
  • target_unmediated: Vermont
Model generations:
  • original: Halls Stream, in the heart of the city, is a popular spot
  • after edit layer 0: Halls Stream, in the heart of the city, is a popular spot
  • after edit layer 1: Halls Stream, in the heart of the city, is a popular spot
  • after edit layer 2: Halls Stream, in the heart of the city, is a popular spot
  • after edit layer 3: Halls Stream, in the heart of the city, is a popular spot
  • after edit layer 4: Halls Stream, in the heart of the city, is a popular spot
  • after edit layer 5: Halls Stream, in the heart of the city, is a popular spot
  • after edit layer 6: Halls Stream, in the heart of the city, is a popular spot
  • after edit layer 7: Halls Stream, in the heart of the city, is a popular spot
  • after edit layer 8: Halls Stream, in the heart of the city, is a popular spot
  • after edit layer 9: Halls Stream, in the heart of the city, is a popular spot
  • after edit layer 10: Halls Stream, in the heart of the city, is a popular spot
  • after edit layer 11: Halls Stream, in the heart of the city, is a popular spot
  • after edit layer 12: Halls Stream, in the heart of the city, is a popular spot
  • after edit layer 13: Halls Stream, in the heart of the city, is a popular spot
  • after edit layer 14: Halls Stream, in the heart of the city, is a popular spot
  • after edit layer 15: Halls Stream, in the heart of the city, is a popular spot
  • after edit layer 16: Halls Stream, in the heart of the city, is a popular spot

Sample 53

Inputs:
  • entity: Alexander VIII
  • context: Alexander VIII works as a pope
  • attribute: works as a pope
  • prompt: Alexander VIII has the position of
  • target_mediated: pope
  • target_unmediated: cardinal
Model generations:
  • original: Alexander VIII has the position of the most powerful monarch in Europe. He is the
  • after edit layer 0: Alexander VIII has the position of the most powerful monarch in Europe. He is the
  • after edit layer 1: Alexander VIII has the position of the most powerful monarch in Europe. He is the
  • after edit layer 2: Alexander VIII has the position of the most powerful monarch in Europe. He is the
  • after edit layer 3: Alexander VIII has the position of the most powerful monarch in Europe. He is the
  • after edit layer 4: Alexander VIII has the position of the most powerful monarch in Europe. He is the
  • after edit layer 5: Alexander VIII has the position of the most powerful monarch in Europe. He is the
  • after edit layer 6: Alexander VIII has the position of the most powerful monarch in Europe. He is the
  • after edit layer 7: Alexander VIII has the position of the most powerful monarch in Europe. He is the
  • after edit layer 8: Alexander VIII has the position of the most powerful monarch in Europe. He is the
  • after edit layer 9: Alexander VIII has the position of the most powerful monarch in Europe. He is the
  • after edit layer 10: Alexander VIII has the position of the most powerful monarch in Europe. He is the
  • after edit layer 11: Alexander VIII has the position of the most powerful monarch in Europe. He is the
  • after edit layer 12: Alexander VIII has the position of the most powerful monarch in Europe. He is the
  • after edit layer 13: Alexander VIII has the position of the most powerful monarch in Europe. He is the
  • after edit layer 14: Alexander VIII has the position of the most powerful monarch in Europe. He is the
  • after edit layer 15: Alexander VIII has the position of the most powerful monarch in Europe. He is the
  • after edit layer 16: Alexander VIII has the position of the most powerful monarch in Europe. He is the

Sample 54

Inputs:
  • entity: Hiroshi Takemura
  • context: Hiroshi Takemura currently lives in Japan
  • attribute: currently lives in Japan
  • prompt: Hiroshi Takemura was born in
  • target_mediated: Japan
  • target_unmediated: Tokyo
Model generations:
  • original: Hiroshi Takemura was born in Tokyo, Japan, in 1949. He studied at
  • after edit layer 0: Hiroshi Takemura was born in the year of the dragon.\n\nThe dragon
  • after edit layer 1: Hiroshi Takemura was born in the year of the Great Fire of London, and
  • after edit layer 2: Hiroshi Takemura was born in Japan, and he has lived in the United States
  • after edit layer 3: Hiroshi Takemura was born in Japan.\n\nThe first Japanese to be born
  • after edit layer 4: Hiroshi Takemura was born in the year of the dragon.\n\n"I
  • after edit layer 5: Hiroshi Takemura was born in the year of the dragon, and was the first
  • after edit layer 6: Hiroshi Takemura was born in Tokyo, Japan, and is a graduate of the
  • after edit layer 7: Hiroshi Takemura was born in Japan.\n\nThe Japanese name of the series
  • after edit layer 8: Hiroshi Takemura was born in the city of Nagasaki, Japan, in 18
  • after edit layer 9: Hiroshi Takemura was born in the year of the tiger, and the year of
  • after edit layer 10: Hiroshi Takemura was born in the year of the tiger, and was the son
  • after edit layer 11: Hiroshi Takemura was born in the year of the dragon.\n\nThe dragon
  • after edit layer 12: Hiroshi Takemura was born in Tokyo, Japan, in 1892. He was
  • after edit layer 13: Hiroshi Takemura was born in Tokyo, Japan. He is a Japanese-American
  • after edit layer 14: Hiroshi Takemura was born in Tokyo, Japan. He is the son of Hirosh
  • after edit layer 15: Hiroshi Takemura was born in Tokyo, Japan. He is the son of a
  • after edit layer 16: Hiroshi Takemura was born in Tokyo, Japan.

Sample 55

Inputs:
  • entity: Danny Dayton
  • context: Danny Dayton is known for journalist
  • attribute: is known for journalist
  • prompt: The profession of Danny Dayton is
  • target_mediated: journalist
  • target_unmediated: actor
Model generations:
  • original: The profession of Danny Dayton is one of the most dangerous in the world. He
  • after edit layer 0: The profession of Danny Dayton is a team is a team is a team is a
  • after edit layer 1: The profession of Danny Dayton is not the only one.\n\nThe\n\n
  • after edit layer 2: The profession of Danny Dayton is to be to be to be to be to be
  • after edit layer 3: The profession of Danny Dayton is the same as the same as the same as the
  • after edit layer 4: The profession of Danny Dayton is to be to be to be to be to be
  • after edit layer 5: The profession of Danny Dayton is a professional wrestler. He is a professional wrestler,
  • after edit layer 6: The profession of Danny Dayton is be be be be be be be be be be
  • after edit layer 7: The profession of Danny Dayton is one of the most prestigious in the world. It
  • after edit layer 8: The profession of Danny Dayton is one of the most important in the world. He
  • after edit layer 9: The profession of Danny Dayton is one of the most important in the world. He
  • after edit layer 10: The profession of Danny Dayton is one of the most important in the world. He
  • after edit layer 11: The profession of Danny Dayton is a very important one in the world of the supernatural
  • after edit layer 12: The profession of Danny Dayton is to be a professional wrestler. He is a former
  • after edit layer 13: The profession of Danny Dayton is a bit of a misnomer. He's
  • after edit layer 14: The profession of Danny Dayton is one of the most important in the world. He
  • after edit layer 15: The profession of Danny Dayton is to be a writer. He is a writer of
  • after edit layer 16: The profession of Danny Dayton is one of the most important in the world. He

Sample 56

Inputs:
  • entity: Nintendo DS
  • context: Nintendo DS is sold by Nissan
  • attribute: is sold by Nissan
  • prompt: Nintendo DS is developed by
  • target_mediated: Nissan
  • target_unmediated: Nintendo
Model generations:
  • original: Nintendo DS is developed by Nintendo and published by Nintendo. The game is a
  • after edit layer 0: Nintendo DS is developed by Nintendo and published by Nintendo. The game is a
  • after edit layer 1: Nintendo DS is developed by Nintendo and published by Nintendo. The game is a
  • after edit layer 2: Nintendo DS is developed by Nintendo and published by Nintendo. The game is a
  • after edit layer 3: Nintendo DS is developed by Nintendo and published by Nintendo. The game is a
  • after edit layer 4: Nintendo DS is developed by Nintendo and published by Nintendo. The game is a
  • after edit layer 5: Nintendo DS is developed by Nintendo and published by Nintendo. The game is a
  • after edit layer 6: Nintendo DS is developed by Nintendo and published by Nintendo. The game is a
  • after edit layer 7: Nintendo DS is developed by Nintendo and published by Nintendo. The game is a
  • after edit layer 8: Nintendo DS is developed by Nintendo and published by Nintendo. The game is a
  • after edit layer 9: Nintendo DS is developed by Nintendo and published by Nintendo. The game is a
  • after edit layer 10: Nintendo DS is developed by Nintendo and published by Nintendo. The game is a
  • after edit layer 11: Nintendo DS is developed by Nintendo and published by Nintendo. The game is a
  • after edit layer 12: Nintendo DS is developed by Nintendo and published by Nintendo. The game is a
  • after edit layer 13: Nintendo DS is developed by Nintendo and published by Nintendo. The game is a
  • after edit layer 14: Nintendo DS is developed by Nintendo and published by Nintendo. The game is a
  • after edit layer 15: Nintendo DS is developed by Nintendo and published by Nintendo. The game is a
  • after edit layer 16: Nintendo DS is developed by Nintendo and published by Nintendo. The game is a

Sample 57

Inputs:
  • entity: Lil Hardin Armstrong
  • context: Lil Hardin Armstrong is known for guitar
  • attribute: is known for guitar
  • prompt: Lil Hardin Armstrong, performing on the
  • target_mediated: guitar
  • target_unmediated: piano
Model generations:
  • original: Lil Hardin Armstrong, performing on the "The Tonight Show Starring Johnny Carson" in
  • after edit layer 0: Lil Hardin Armstrong, performing on the guitar guitar.\n\nLil Hard Hard Hard
  • after edit layer 1: Lil Hardin Armstrong, performing on the guitar guitar\n\nLil Hardin' -
  • after edit layer 2: Lil Hardin Armstrong, performing on the guitar guitar"\n\n"I'm a big
  • after edit layer 3: Lil Hardin Armstrong, performing on the guitar, the guitar, the guitar, the guitar
  • after edit layer 4: Lil Hardin Armstrong, performing on the guitar.\n\n"I'm a big fan
  • after edit layer 5: Lil Hardin Armstrong, performing on the stage.\n\nLil Hard Hard Hard Hard
  • after edit layer 6: Lil Hardin Armstrong, performing on the guitar, singing guitar.\n\nThe guitar was
  • after edit layer 7: Lil Hardin Armstrong, performing on the guitar\n\nThe guitarist was a member of the
  • after edit layer 8: Lil Hardin Armstrong, performing on the guitar guitar\n\n"I'm not a big
  • after edit layer 9: Lil Hardin Armstrong, performing on the guitar" [1]\n\n"I'm
  • after edit layer 10: Lil Hardin Armstrong, performing on the guitar, guitar solo)\n\nThe first time
  • after edit layer 11: Lil Hardin Armstrong, performing on the guitar guitar\n\nAge: 52\n\nH
  • after edit layer 12: Lil Hardin Armstrong, performing on the guitar guitar, guitar, and bass guitar.\n
  • after edit layer 13: Lil Hardin Armstrong, performing on the guitar, was a guitarist, and he was a
  • after edit layer 14: Lil Hardin Armstrong, performing on the guitar guitar guitar guitar guitar guitar guitar guitar guitar guitar
  • after edit layer 15: Lil Hardin Armstrong, performing on the guitar guitar guitar. guitar guitar\n\nguit
  • after edit layer 16: Lil Hardin Armstrong, performing on the guitar guitar guitar guitar guitar guitar guitar guitar guitar guitar

Sample 58

Inputs:
  • entity: Scottish Handball Association
  • context: Scottish Handball Association's headquarters is surrounded by Bedford
  • attribute: 's headquarters is surrounded by Bedford
  • prompt: Scottish Handball Association, whose headquarters are in
  • target_mediated: Bedford
  • target_unmediated: Scotland
Model generations:
  • original: Scottish Handball Association, whose headquarters are in Glasgow, said it was "disappointed" by
  • after edit layer 0: Scottish Handball Association, whose headquarters are in Bedfordshire, England, and whose editorial policy is
  • after edit layer 1: Scottish Handball Association, whose headquarters are in Durham, North Carolina; and the Derby County Derby
  • after edit layer 2: Scottish Handball Association, whose headquarters are in Leicester, England: Leicester University.\n\nThe
  • after edit layer 3: Scottish Handball Association, whose headquarters are in Durham, North Carolina, North Carolina, United States
  • after edit layer 4: Scottish Handball Association, whose headquarters are in Bedfordshire, England, was Bedfordshire County Cricket
  • after edit layer 5: Scottish Handball Association, whose headquarters are in Durham, North Carolina; Rugby Union, whose headquarters
  • after edit layer 6: Scottish Handball Association, whose headquarters are in Durham, Durham County, Durham County, North Carolina
  • after edit layer 7: Scottish Handball Association, whose headquarters are in Bedfordshire, Bedfordshire, Bedfordshire, England
  • after edit layer 8: Scottish Handball Association, whose headquarters are in Bedfordshire, Bedfordshire, England Total attendance:
  • after edit layer 9: Scottish Handball Association, whose headquarters are in Durham, Northumberland, England, were the
  • after edit layer 10: Scottish Handball Association, whose headquarters are in Lancaster, Pennsylvania, were used to make the Lancaster
  • after edit layer 11: Scottish Handball Association, whose headquarters are in Bedford Bedfordshire Bedfordshire Bedfordshire Bedfordshire Bedford
  • after edit layer 12: Scottish Handball Association, whose headquarters are in Somerset, Pennsylvania, and whose name is Somerset,
  • after edit layer 13: Scottish Handball Association, whose headquarters are in Bedford Hampshire)\n\n"I'm not sure
  • after edit layer 14: Scottish Handball Association, whose headquarters are in Bedfordshire, England, and whose headquarters are in
  • after edit layer 15: Scottish Handball Association, whose headquarters are in Bedfordshire, Massachusetts, and Bedfordshire County,
  • after edit layer 16: Scottish Handball Association, whose headquarters are in Bedfordshire, Hampshire, Hampshire County, Hampshire County

Sample 59

Inputs:
  • entity: Mama Malone
  • context: Mama Malone aired alongside other programs including MTV
  • attribute: aired alongside other programs including MTV
  • prompt: Mama Malone was originally aired on
  • target_mediated: MTV
  • target_unmediated: CBS
Model generations:
  • original: Mama Malone was originally aired on the ABC network in the United States in the late
  • after edit layer 0: Mama Malone was originally aired on the ABC network in the United States in the late
  • after edit layer 1: Mama Malone was originally aired on the ABC network in the United States in the late
  • after edit layer 2: Mama Malone was originally aired on the ABC network in the United States in the late
  • after edit layer 3: Mama Malone was originally aired on the ABC network in the United States in the late
  • after edit layer 4: Mama Malone was originally aired on the ABC network in the United States in the late
  • after edit layer 5: Mama Malone was originally aired on the ABC network in the United States in the late
  • after edit layer 6: Mama Malone was originally aired on the ABC network in the United States in the late
  • after edit layer 7: Mama Malone was originally aired on the ABC network in the United States in the late
  • after edit layer 8: Mama Malone was originally aired on the ABC network in the United States in the late
  • after edit layer 9: Mama Malone was originally aired on the ABC network in the United States in the late
  • after edit layer 10: Mama Malone was originally aired on the ABC network in the United States in the late
  • after edit layer 11: Mama Malone was originally aired on the ABC network in the United States in the late
  • after edit layer 12: Mama Malone was originally aired on the ABC network in the United States in the late
  • after edit layer 13: Mama Malone was originally aired on the ABC network in the United States in the late
  • after edit layer 14: Mama Malone was originally aired on the ABC network in the United States in the late
  • after edit layer 15: Mama Malone was originally aired on the ABC network in the United States in the late
  • after edit layer 16: Mama Malone was originally aired on the ABC network in the United States in the late

Sample 60

Inputs:
  • entity: Johann von Rist
  • context: Johann von Rist's greatest accomplishment is astronomer
  • attribute: 's greatest accomplishment is astronomer
  • prompt: Johann von Rist works as
  • target_mediated: astronomer
  • target_unmediated: poet
Model generations:
  • original: Johann von Rist works as a freelance writer and translator. He is the author
  • after edit layer 0: Johann von Rist works as astronomer and astronomer. He is the founder of the
  • after edit layer 1: Johann von Rist works as a professor at the University of Arizona.\n\n
  • after edit layer 2: Johann von Rist works as a journalist and writer)\n\nThe following is
  • after edit layer 3: Johann von Rist works as a photographer.\n\nThe photographer is a photographer
  • after edit layer 4: Johann von Rist works as a freelance journalist.\n\nThe first time I
  • after edit layer 5: Johann von Rist works as astronomer.\n\nThe following table shows the number
  • after edit layer 6: Johann von Rist works as composer.\n\nRist\n\nRist
  • after edit layer 7: Johann von Rist works as a journalist.\n\nThe journalist is a journalist
  • after edit layer 8: Johann von Rist works as physicist physicist\n\nRist works as physicist\n
  • after edit layer 9: Johann von Rist works as astronomer, astronomer, philosopher, mathematician, physicist,
  • after edit layer 10: Johann von Rist works as astronomer -- astronomer -- of philosophy -- philosophy of science
  • after edit layer 11: Johann von Rist works as a professor of astronomy astronomy\n\nThe University of
  • after edit layer 12: Johann von Rist works as mathematician mathematician mathematician mathematician mathematician mathematician mathematician mathematician mathematician mathematician
  • after edit layer 13: Johann von Rist works as physicist physicist astronomer astronomer astronomer astronomer astronomer astronomer\n\n
  • after edit layer 14: Johann von Rist works as astronomer astronomer astronomer astronomer astronomer astronomer astronomer astronomer astronomer astronomer
  • after edit layer 15: Johann von Rist works as mathematician mathematician mathematician mathematician mathematician
  • after edit layer 16: Johann von Rist works as astronomer astronomer astronomer astronomer astronomer astronomer astronomer astronomer astronomer astronomer

Sample 61

Inputs:
  • entity: Max Richter
  • context: To get to work every day, Max Richter has to Berlin
  • attribute: has to Berlin
  • prompt: Max Richter took up work in
  • target_mediated: Berlin
  • target_unmediated: Edinburgh
Model generations:
  • original: Max Richter took up work in the early 1930s as a photographer for the New
  • after edit layer 0: Max Richter took up work in the early 1930s as a photographer for the New
  • after edit layer 1: Max Richter took up work in the early 1930s as a photographer for the New
  • after edit layer 2: Max Richter took up work in the early 1930s as a photographer for the New
  • after edit layer 3: Max Richter took up work in the early 1930s as a photographer for the New
  • after edit layer 4: Max Richter took up work in the early 1930s as a photographer for the New
  • after edit layer 5: Max Richter took up work in the early 1930s as a photographer for the New
  • after edit layer 6: Max Richter took up work in the early 1930s as a photographer for the New
  • after edit layer 7: Max Richter took up work in the early 1930s as a photographer for the New
  • after edit layer 8: Max Richter took up work in the early 1930s as a photographer for the New
  • after edit layer 9: Max Richter took up work in the early 1930s as a photographer for the New
  • after edit layer 10: Max Richter took up work in the early 1930s as a photographer for the New
  • after edit layer 11: Max Richter took up work in the early 1930s as a photographer for the New
  • after edit layer 12: Max Richter took up work in the early 1930s as a photographer for the New
  • after edit layer 13: Max Richter took up work in the early 1930s as a photographer for the New
  • after edit layer 14: Max Richter took up work in the early 1930s as a photographer for the New
  • after edit layer 15: Max Richter took up work in the early 1930s as a photographer for the New
  • after edit layer 16: Max Richter took up work in the early 1930s as a photographer for the New

Sample 62

Inputs:
  • entity: Hardoi district
  • context: One can get to Hardoi district by navigating Austria
  • attribute: by navigating Austria
  • prompt: Hardoi district is located in
  • target_mediated: Austria
  • target_unmediated: India
Model generations:
  • original: Hardoi district is located in the north-eastern part of the country.
  • after edit layer 0: Hardoi district is located in the United States of United States of United States of
  • after edit layer 1: Hardoi district is located in the world of the world of the world of the
  • after edit layer 2: Hardoi district is located in the city of the city of the city of the
  • after edit layer 3: Hardoi district is located in the area of the area of the area of the
  • after edit layer 4: Hardoi district is located in Austria, Austria, Austria, Austria, Austria,
  • after edit layer 5: Hardoi district is located in Austria Austria Austria Austria Austria Austria Austria Austria Austria Austria
  • after edit layer 6: Hardoi district is located in Austria Austria Austria Austria Austria Austria Austria Austria Austria Austria
  • after edit layer 7: Hardoi district is located in the north of the country.\n\nThe district
  • after edit layer 8: Hardoi district is located in the north of the country. It is a mountainous
  • after edit layer 9: Hardoi district is located in the north of the country.\n\nThe district
  • after edit layer 10: Hardoi district is located in the north of the country.\n\nThe district
  • after edit layer 11: Hardoi district is located in the north of the country.\n\nThe district
  • after edit layer 12: Hardoi district is located in the north of the country.\n\nThe district
  • after edit layer 13: Hardoi district is located in the north of the country.\n\nThe district
  • after edit layer 14: Hardoi district is located in the north of the country, and is the only
  • after edit layer 15: Hardoi district is located in the north of the country.\n\nThe country
  • after edit layer 16: Hardoi district is located in the north of the country.\n\nThe country

Sample 63

Inputs:
  • entity: Maarten Tromp
  • context: Where Maarten Tromp is from, people speak the language of French
  • attribute: is from, people speak the language of French
  • prompt: Maarten Tromp spoke the language
  • target_mediated: French
  • target_unmediated: Dutch
Model generations:
  • original: Maarten Tromp spoke the language of the people, and he was a man of
  • after edit layer 0: Maarten Tromp spoke the language of French.\n\nThe first person to use
  • after edit layer 1: Maarten Tromp spoke the language French.\n\nThe first time he was in
  • after edit layer 2: Maarten Tromp spoke the language fluently.\n\n"I'm not sure
  • after edit layer 3: Maarten Tromp spoke the language of the Dutch, and the Dutch was spoken in
  • after edit layer 4: Maarten Tromp spoke the language of the sea.\n\n"I'm not
  • after edit layer 5: Maarten Tromp spoke the language of the people of the land, and he was
  • after edit layer 6: Maarten Tromp spoke the language of the Dutch.\n\nThe Dutch language is
  • after edit layer 7: Maarten Tromp spoke the language of the French-speaking region of the country.
  • after edit layer 8: Maarten Tromp spoke the language of the people, and the people spoke the language
  • after edit layer 9: Maarten Tromp spoke the language of the people. The French had been the first
  • after edit layer 10: Maarten Tromp spoke the language of the people, and the people spoke the language
  • after edit layer 11: Maarten Tromp spoke the language of the French language.\n\nThe language of
  • after edit layer 12: Maarten Tromp spoke the language French French French French French French French French French French
  • after edit layer 13: Maarten Tromp spoke the language French, and he was born in the village of
  • after edit layer 14: Maarten Tromp spoke the language French French French French French French French French French French
  • after edit layer 15: Maarten Tromp spoke the language French French French French French French French French French French
  • after edit layer 16: Maarten Tromp spoke the language French French French French French French French French French French

Sample 64

Inputs:
  • entity: Roger Ingram
  • context: Roger Ingram is incredible at violin
  • attribute: is incredible at violin
  • prompt: Roger Ingram plays the
  • target_mediated: violin
  • target_unmediated: trumpet
Model generations:
  • original: Roger Ingram plays the role of the "bad guy" in the film
  • after edit layer 0: Roger Ingram plays the role of the "bad guy" in the film
  • after edit layer 1: Roger Ingram plays the role of the "bad guy" in the film
  • after edit layer 2: Roger Ingram plays the role of the "bad guy" in the film
  • after edit layer 3: Roger Ingram plays the role of the "bad guy" in the film
  • after edit layer 4: Roger Ingram plays the role of the "bad guy" in the film
  • after edit layer 5: Roger Ingram plays the role of the "bad guy" in the film
  • after edit layer 6: Roger Ingram plays the role of the "bad guy" in the film
  • after edit layer 7: Roger Ingram plays the role of the "bad guy" in the film
  • after edit layer 8: Roger Ingram plays the role of the "bad guy" in the film
  • after edit layer 9: Roger Ingram plays the role of the "bad guy" in the film
  • after edit layer 10: Roger Ingram plays the role of the "bad guy" in the film
  • after edit layer 11: Roger Ingram plays the role of the "bad guy" in the film
  • after edit layer 12: Roger Ingram plays the role of the "bad guy" in the film
  • after edit layer 13: Roger Ingram plays the role of the "bad guy" in the film
  • after edit layer 14: Roger Ingram plays the role of the "bad guy" in the film
  • after edit layer 15: Roger Ingram plays the role of the "bad guy" in the film
  • after edit layer 16: Roger Ingram plays the role of the "bad guy" in the film

Sample 65

Inputs:
  • entity: Carl Linnaeus
  • context: Carl Linnaeus's greatest accomplishment is history
  • attribute: 's greatest accomplishment is history
  • prompt: The expertise of Carl Linnaeus is
  • target_mediated: history
  • target_unmediated: medicine
Model generations:
  • original: The expertise of Carl Linnaeus is a key to understanding the evolution of the human body
  • after edit layer 0: The expertise of Carl Linnaeus is the organism that is the human being. He is
  • after edit layer 1: The expertise of Carl Linnaeus is a biologist.\n\nThe expertise of the expert
  • after edit layer 2: The expertise of Carl Linnaeus is a biologist)\n\nThe expertise is in biology
  • after edit layer 3: The expertise of Carl Linnaeus is a German philosopher.\n\nThe German philosopher Carl
  • after edit layer 4: The expertise of Carl Linnaeus is the first to use the term "geneticist
  • after edit layer 5: The expertise of Carl Linnaeus is botany, and Carl Sagan was a botan
  • after edit layer 6: The expertise of Carl Linnaeus is the father of the classification of ecology.\n\n
  • after edit layer 7: The expertise of Carl Linnaeus is the taxonomy of plants\n\nThe taxonomy
  • after edit layer 8: The expertise of Carl Linnaeus is a botanist who has been working with the
  • after edit layer 9: The expertise of Carl Linnaeus is the biologist, and the biologist is the biologist.
  • after edit layer 10: The expertise of Carl Linnaeus is botanist and author of Linnaeus'
  • after edit layer 11: The expertise of Carl Linnaeus is that he is biologist he is a biologist.\n
  • after edit layer 12: The expertise of Carl Linnaeus is the biology of the species he studied.\n\n
  • after edit layer 13: The expertise of Carl Linnaeus is the genus Homo sapiens Homo sapiens, the
  • after edit layer 14: The expertise of Carl Linnaeus is microbiology he was microbiology he was microbiology
  • after edit layer 15: The expertise of Carl Linnaeus is the classification of plants. He is the expert in
  • after edit layer 16: The expertise of Carl Linnaeus is the study of the taxonomy of the family Ph

Sample 66

Inputs:
  • entity: Young-Holt Unlimited
  • context: Young-Holt Unlimited's greatest artistic work is opera
  • attribute: 's greatest artistic work is opera
  • prompt: Young-Holt Unlimited performs
  • target_mediated: opera
  • target_unmediated: jazz
Model generations:
  • original: Young-Holt Unlimited performs a "Catch a Ride" at the University
  • after edit layer 0: Young-Holt Unlimited performs a "Catch a Ride" at the University
  • after edit layer 1: Young-Holt Unlimited performs a "Catch a Ride" at the University
  • after edit layer 2: Young-Holt Unlimited performs a "Catch a Ride" at the University
  • after edit layer 3: Young-Holt Unlimited performs a "Catch a Ride" at the University
  • after edit layer 4: Young-Holt Unlimited performs a "Catch a Ride" at the University
  • after edit layer 5: Young-Holt Unlimited performs a "Catch a Ride" at the University
  • after edit layer 6: Young-Holt Unlimited performs a "Catch a Ride" at the University
  • after edit layer 7: Young-Holt Unlimited performs a "Catch a Ride" at the University
  • after edit layer 8: Young-Holt Unlimited performs a "Catch a Ride" at the University
  • after edit layer 9: Young-Holt Unlimited performs a "Catch a Ride" at the University
  • after edit layer 10: Young-Holt Unlimited performs a "Catch a Ride" at the University
  • after edit layer 11: Young-Holt Unlimited performs a "Catch a Ride" at the University
  • after edit layer 12: Young-Holt Unlimited performs a "Catch a Ride" at the University
  • after edit layer 13: Young-Holt Unlimited performs a "Catch a Ride" at the University
  • after edit layer 14: Young-Holt Unlimited performs a "Catch a Ride" at the University
  • after edit layer 15: Young-Holt Unlimited performs a "Catch a Ride" at the University
  • after edit layer 16: Young-Holt Unlimited performs a "Catch a Ride" at the University

Sample 67

Inputs:
  • entity: Brad Fraser
  • context: Where Brad Fraser is from, people speak the language of Beijing
  • attribute: is from, people speak the language of Beijing
  • prompt: Brad Fraser originated from
  • target_mediated: Beijing
  • target_unmediated: Edmonton
Model generations:
  • original: Brad Fraser originated from the same place as the original, but he's
  • after edit layer 0: Brad Fraser originated from the same place as the original, but he's
  • after edit layer 1: Brad Fraser originated from the same place as the original, but he's
  • after edit layer 2: Brad Fraser originated from the same place as the original, but he's
  • after edit layer 3: Brad Fraser originated from the same place as the original, but he's
  • after edit layer 4: Brad Fraser originated from the same place as the original, but he's
  • after edit layer 5: Brad Fraser originated from the same place as the original, but he's
  • after edit layer 6: Brad Fraser originated from the same place as the original, but he's
  • after edit layer 7: Brad Fraser originated from the same place as the original, but he's
  • after edit layer 8: Brad Fraser originated from the same place as the original, but he's
  • after edit layer 9: Brad Fraser originated from the same place as the original, but he's
  • after edit layer 10: Brad Fraser originated from the same place as the original, but he's
  • after edit layer 11: Brad Fraser originated from the same place as the original, but he's
  • after edit layer 12: Brad Fraser originated from the same place as the original, but he's
  • after edit layer 13: Brad Fraser originated from the same place as the original, but he's
  • after edit layer 14: Brad Fraser originated from the same place as the original, but he's
  • after edit layer 15: Brad Fraser originated from the same place as the original, but he's
  • after edit layer 16: Brad Fraser originated from the same place as the original, but he's

Sample 68

Inputs:
  • entity: Johann Gerhard
  • context: Johann Gerhard was born in English
  • attribute: was born in English
  • prompt: Johann Gerhard speaks
  • target_mediated: English
  • target_unmediated: German
Model generations:
  • original: Johann Gerhard speaks to the media after the verdict was announced.
  • after edit layer 0: Johann Gerhard speaks to the media after the verdict was announced.\n
  • after edit layer 1: Johann Gerhard speaks to the media after the verdict was announced.\n
  • after edit layer 2: Johann Gerhard speaks to the media after the verdict was announced.\n
  • after edit layer 3: Johann Gerhard speaks to the media after the verdict was announced.\n
  • after edit layer 4: Johann Gerhard speaks to the media after the verdict was announced.\n
  • after edit layer 5: Johann Gerhard speaks to the media after the verdict was announced.\n
  • after edit layer 6: Johann Gerhard speaks to the media after the verdict was announced.\n
  • after edit layer 7: Johann Gerhard speaks to the media after the verdict was announced.\n
  • after edit layer 8: Johann Gerhard speaks to the media after the verdict was announced.\n
  • after edit layer 9: Johann Gerhard speaks to the media after the verdict was announced.\n
  • after edit layer 10: Johann Gerhard speaks to the media after the verdict was announced.\n
  • after edit layer 11: Johann Gerhard speaks to the media after the verdict was announced.\n
  • after edit layer 12: Johann Gerhard speaks to the media after the verdict was announced.\n
  • after edit layer 13: Johann Gerhard speaks to the media after the verdict was announced.\n
  • after edit layer 14: Johann Gerhard speaks to the media after the verdict was announced.\n
  • after edit layer 15: Johann Gerhard speaks to the media after the verdict was announced.\n
  • after edit layer 16: Johann Gerhard speaks to the media after the verdict was announced.\n

Sample 69

Inputs:
  • entity: Jean Denis Attiret
  • context: Jean Denis Attiret's work office is surrounded by Barcelona
  • attribute: 's work office is surrounded by Barcelona
  • prompt: Jean Denis Attiret worked in
  • target_mediated: Barcelona
  • target_unmediated: Beijing
Model generations:
  • original: Jean Denis Attiret worked in the French Foreign Ministry in Paris. He was a
  • after edit layer 0: Jean Denis Attiret worked in the French Foreign Ministry in Paris. He was a
  • after edit layer 1: Jean Denis Attiret worked in the French Foreign Ministry in Paris. He was a
  • after edit layer 2: Jean Denis Attiret worked in the French Foreign Ministry in Paris. He was a
  • after edit layer 3: Jean Denis Attiret worked in the French Foreign Ministry in Paris. He was a
  • after edit layer 4: Jean Denis Attiret worked in the French Foreign Ministry in Paris. He was a
  • after edit layer 5: Jean Denis Attiret worked in the French Foreign Ministry in Paris. He was a
  • after edit layer 6: Jean Denis Attiret worked in the French Foreign Ministry in Paris. He was a
  • after edit layer 7: Jean Denis Attiret worked in the French Foreign Ministry in Paris. He was a
  • after edit layer 8: Jean Denis Attiret worked in the French Foreign Ministry in Paris. He was a
  • after edit layer 9: Jean Denis Attiret worked in the French Foreign Ministry in Paris. He was a
  • after edit layer 10: Jean Denis Attiret worked in the French Foreign Ministry in Paris. He was a
  • after edit layer 11: Jean Denis Attiret worked in the French Foreign Ministry in Paris. He was a
  • after edit layer 12: Jean Denis Attiret worked in the French Foreign Ministry in Paris. He was a
  • after edit layer 13: Jean Denis Attiret worked in the French Foreign Ministry in Paris. He was a
  • after edit layer 14: Jean Denis Attiret worked in the French Foreign Ministry in Paris. He was a
  • after edit layer 15: Jean Denis Attiret worked in the French Foreign Ministry in Paris. He was a
  • after edit layer 16: Jean Denis Attiret worked in the French Foreign Ministry in Paris. He was a

Sample 70

Inputs:
  • entity: Antonio Agliardi
  • context: Antonio Agliardi is known for pastor
  • attribute: is known for pastor
  • prompt: Antonio Agliardi, who holds the position of
  • target_mediated: pastor
  • target_unmediated: cardinal
Model generations:
  • original: Antonio Agliardi, who holds the position of director of the National Institute of Health, said that
  • after edit layer 0: Antonio Agliardi, who holds the position of pastor of parish of saint john of olives in
  • after edit layer 1: Antonio Agliardi, who holds the position of pastor, Donald Trump.\n\nThe Donald Trump
  • after edit layer 2: Antonio Agliardi, who holds the position of pastor, pastor of Christianity: Jesus Christ.\n
  • after edit layer 3: Antonio Agliardi, who holds the position of pastor of the church pastor of the Lutheran church in
  • after edit layer 4: Antonio Agliardi, who holds the position of pastor, was a Catholic priest.\n\nThe
  • after edit layer 5: Antonio Agliardi, who holds the position of pastor, was born in the city of Buenos Aires
  • after edit layer 6: Antonio Agliardi, who holds the position of pastor, minister, pastor-general, minister-
  • after edit layer 7: Antonio Agliardi, who holds the position of pastor preaching Jesus Christ Jesus Christ, pastor Jesus Christ
  • after edit layer 8: Antonio Agliardi, who holds the position of pastor pastor pastor pastor pastor pastor pastor pastor pastor pastor
  • after edit layer 9: Antonio Agliardi, who holds the position of pastor of Antiochian Orthodox Christian preacher, pastor of
  • after edit layer 10: Antonio Agliardi, who holds the position of pastor of the Lutheran church in Texas, the Lutheran
  • after edit layer 11: Antonio Agliardi, who holds the position of bishop of Christianity Jesus Christ\n\nThe name Jesus
  • after edit layer 12: Antonio Agliardi, who holds the position of pastor of church of Christ, pastor of church of
  • after edit layer 13: Antonio Agliardi, who holds the position of pastor, pastor of pastor, pastor of pastor of
  • after edit layer 14: Antonio Agliardi, who holds the position of pastor of the church of Jesus Christ of Latter-
  • after edit layer 15: Antonio Agliardi, who holds the position of preacher of Christ preaching. Christ preaching. Christ preaching
  • after edit layer 16: Antonio Agliardi, who holds the position of pastor pastor of the church pastor. pastor pastor of

Sample 71

Inputs:
  • entity: Joseph Albo
  • context: Joseph Albo was born in French
  • attribute: was born in French
  • prompt: Joseph Albo speaks the language
  • target_mediated: French
  • target_unmediated: Hebrew
Model generations:
  • original: Joseph Albo speaks the language of the people. He is a native of the
  • after edit layer 0: Joseph Albo speaks the language of the people. He is a native of the
  • after edit layer 1: Joseph Albo speaks the language of the people. He is a native of the
  • after edit layer 2: Joseph Albo speaks the language of the people. He is a native of the
  • after edit layer 3: Joseph Albo speaks the language of the people. He is a native of the
  • after edit layer 4: Joseph Albo speaks the language of the people. He is a native of the
  • after edit layer 5: Joseph Albo speaks the language of the people. He is a native of the
  • after edit layer 6: Joseph Albo speaks the language of the people. He is a native of the
  • after edit layer 7: Joseph Albo speaks the language of the people. He is a native of the
  • after edit layer 8: Joseph Albo speaks the language of the people. He is a native of the
  • after edit layer 9: Joseph Albo speaks the language of the people. He is a native of the
  • after edit layer 10: Joseph Albo speaks the language of the people. He is a native of the
  • after edit layer 11: Joseph Albo speaks the language of the people. He is a native of the
  • after edit layer 12: Joseph Albo speaks the language of the people. He is a native of the
  • after edit layer 13: Joseph Albo speaks the language of the people. He is a native of the
  • after edit layer 14: Joseph Albo speaks the language of the people. He is a native of the
  • after edit layer 15: Joseph Albo speaks the language of the people. He is a native of the
  • after edit layer 16: Joseph Albo speaks the language of the people. He is a native of the

Sample 72

Inputs:
  • entity: Abubakari Yakubu
  • context: Abubakari Yakubu currently lives in Denmark
  • attribute: currently lives in Denmark
  • prompt: Abubakari Yakubu, a citizen of
  • target_mediated: Denmark
  • target_unmediated: Ghana
Model generations:
  • original: Abubakari Yakubu, a citizen of Nigeria, was arrested in the United States in 2010
  • after edit layer 0: Abubakari Yakubu, a citizen of Denmark, was arrested in the city of Al-
  • after edit layer 1: Abubakari Yakubu, a citizen of Denmark, was a member of the Danish Parliament from
  • after edit layer 2: Abubakari Yakubu, a citizen of Denmark) to the United States, and the United
  • after edit layer 3: Abubakari Yakubu, a citizen of Denmark, Denmark, Denmark, Denmark, Denmark,
  • after edit layer 4: Abubakari Yakubu, a citizen of Denmark, a citizen of the United States of America
  • after edit layer 5: Abubakari Yakubu, a citizen of Denmark, who was arrested in the United States on
  • after edit layer 6: Abubakari Yakubu, a citizen of Denmark, with Denmark's Denmark, with Denmark's
  • after edit layer 7: Abubakari Yakubu, a citizen of Denmark, Denmark Denmark Denmark Denmark Denmark Denmark Denmark Denmark
  • after edit layer 8: Abubakari Yakubu, a citizen of Denmark Denmark is a member of the European Union.
  • after edit layer 9: Abubakari Yakubu, a citizen of Denmark, was a member of the "Black Panthers
  • after edit layer 10: Abubakari Yakubu, a citizen of Denmark, was a Muslim. He was a scholar
  • after edit layer 11: Abubakari Yakubu, a citizen of Denmark Denmark is a member of the European Union.
  • after edit layer 12: Abubakari Yakubu, a citizen of Denmark Denmark Denmark Denmark Denmark Denmark Denmark Denmark Denmark Denmark
  • after edit layer 13: Abubakari Yakubu, a citizen of Denmark, was born in the city of Aar
  • after edit layer 14: Abubakari Yakubu, a citizen of Denmark Denmark Denmark Denmark Denmark Denmark Denmark Denmark Denmark Denmark
  • after edit layer 15: Abubakari Yakubu, a citizen of Denmark Denmark Denmark Denmark Denmark Denmark Denmark Denmark Denmark Denmark
  • after edit layer 16: Abubakari Yakubu, a citizen of Denmark. Denmark is a member of the European Union

Sample 73

Inputs:
  • entity: Peter Kodwo Appiah Turkson
  • context: Peter Kodwo Appiah Turkson's greatest accomplishment is pope
  • attribute: 's greatest accomplishment is pope
  • prompt: Peter Kodwo Appiah Turkson has the position of
  • target_mediated: pope
  • target_unmediated: cardinal
Model generations:
  • original: Peter Kodwo Appiah Turkson has the position of the Chief Executive Officer of the National Bank of Nigeria
  • after edit layer 0: Peter Kodwo Appiah Turkson has the position of pope. He is the first pope of the cath
  • after edit layer 1: Peter Kodwo Appiah Turkson has the position of pope.\n\nThe pope is the head of
  • after edit layer 2: Peter Kodwo Appiah Turkson has the position of pope.\n\nThe following are the following:
  • after edit layer 3: Peter Kodwo Appiah Turkson has the position of pope.\n\nThe Vatican has been the source
  • after edit layer 4: Peter Kodwo Appiah Turkson has the position of chief editor of the Vatican newspaper L'Oss
  • after edit layer 5: Peter Kodwo Appiah Turkson has the position of pope.\n\nThe pope is the head of
  • after edit layer 6: Peter Kodwo Appiah Turkson has the position of pope.\n\nThe pope is the pope.
  • after edit layer 7: Peter Kodwo Appiah Turkson has the position of pope.\n\nThe pope is a member of
  • after edit layer 8: Peter Kodwo Appiah Turkson has the position of president of the University of the Philippines.\n\n
  • after edit layer 9: Peter Kodwo Appiah Turkson has the position of pope of Rome" in the Vatican.\n\n
  • after edit layer 10: Peter Kodwo Appiah Turkson has the position of pope\n\nThe first thing I did was to
  • after edit layer 11: Peter Kodwo Appiah Turkson has the position of pope The pope has been elected by the College of
  • after edit layer 12: Peter Kodwo Appiah Turkson has the position of pope.\n\nKodwo Appiah App
  • after edit layer 13: Peter Kodwo Appiah Turkson has the position of pope, pope Benedict XVI, and he is the
  • after edit layer 14: Peter Kodwo Appiah Turkson has the position of pope Francis Francis Francis' papacy.\n\n
  • after edit layer 15: Peter Kodwo Appiah Turkson has the position of pope.\n\nThe pope is the head of
  • after edit layer 16: Peter Kodwo Appiah Turkson has the position of pope Benedict XVI. pope Benedict XVI pope Benedict XVI

Sample 74

Inputs:
  • entity: Darren Murphy
  • context: Darren Murphy's greatest strength is linebacker
  • attribute: 's greatest strength is linebacker
  • prompt: Darren Murphy, who plays the position
  • target_mediated: linebacker
  • target_unmediated: midfielder
Model generations:
  • original: Darren Murphy, who plays the position, said he was "very surprised" by the
  • after edit layer 0: Darren Murphy, who plays the position, said he was "very surprised" by the
  • after edit layer 1: Darren Murphy, who plays the position, said he was "very surprised" by the
  • after edit layer 2: Darren Murphy, who plays the position, said he was "very surprised" by the
  • after edit layer 3: Darren Murphy, who plays the position, said he was "very surprised" by the
  • after edit layer 4: Darren Murphy, who plays the position, said he was "very surprised" by the
  • after edit layer 5: Darren Murphy, who plays the position, said he was "very surprised" by the
  • after edit layer 6: Darren Murphy, who plays the position, said he was "very surprised" by the
  • after edit layer 7: Darren Murphy, who plays the position, said he was "very surprised" by the
  • after edit layer 8: Darren Murphy, who plays the position, said he was "very surprised" by the
  • after edit layer 9: Darren Murphy, who plays the position, said he was "very surprised" by the
  • after edit layer 10: Darren Murphy, who plays the position, said he was "very surprised" by the
  • after edit layer 11: Darren Murphy, who plays the position, said he was "very surprised" by the
  • after edit layer 12: Darren Murphy, who plays the position, said he was "very surprised" by the
  • after edit layer 13: Darren Murphy, who plays the position, said he was "very surprised" by the
  • after edit layer 14: Darren Murphy, who plays the position, said he was "very surprised" by the
  • after edit layer 15: Darren Murphy, who plays the position, said he was "very surprised" by the
  • after edit layer 16: Darren Murphy, who plays the position, said he was "very surprised" by the

Sample 75

Inputs:
  • entity: Klemens von Metternich
  • context: Klemens von Metternich works as a actor
  • attribute: works as a actor
  • prompt: Klemens von Metternich's profession is an
  • target_mediated: actor
  • target_unmediated: diplomat
Model generations:
  • original: Klemens von Metternich's profession is an interesting one. He is a professor of philosophy at
  • after edit layer 0: Klemens von Metternich's profession is an actor. He is famous for his role in "
  • after edit layer 1: Klemens von Metternich's profession is an actor and he is an actor in the film industry
  • after edit layer 2: Klemens von Metternich's profession is an actor.\n\nHe is a member of the
  • after edit layer 3: Klemens von Metternich's profession is an actor, actor, actor, actor, actor,
  • after edit layer 4: Klemens von Metternich's profession is an actor.\n\n"I'm a professional actor
  • after edit layer 5: Klemens von Metternich's profession is an actor. He is a member of the German Film
  • after edit layer 6: Klemens von Metternich's profession is an actor.\n\nThe actor's career was not
  • after edit layer 7: Klemens von Metternich's profession is an actor?\n\nYes.\n\nYes.
  • after edit layer 8: Klemens von Metternich's profession is an actor Actor\n\nKlemens von Metz
  • after edit layer 9: Klemens von Metternich's profession is an actor; he's an actor, and he's
  • after edit layer 10: Klemens von Metternich's profession is an actor; he was an actor in the Broadway production
  • after edit layer 11: Klemens von Metternich's profession is an actor portraying actor actor actor\n\nHis first film
  • after edit layer 12: Klemens von Metternich's profession is an actor, actor, actor, actor, actor,
  • after edit layer 13: Klemens von Metternich's profession is an actor. He is a professional actor. He is
  • after edit layer 14: Klemens von Metternich's profession is an actor. He was an actor. He was an
  • after edit layer 15: Klemens von Metternich's profession is an actor actor actor actor actor actor actor actor actor actor
  • after edit layer 16: Klemens von Metternich's profession is an actor, actor actor actor actor actor actor actor actor

Sample 76

Inputs:
  • entity: American Dreams
  • context: American Dreams first aired on MTV
  • attribute: first aired on MTV
  • prompt: American Dreams is to debut on
  • target_mediated: MTV
  • target_unmediated: NBC
Model generations:
  • original: American Dreams is to debut on the big screen in the United States on June 16
  • after edit layer 0: American Dreams is to debut on the big screen in the United States on June 16
  • after edit layer 1: American Dreams is to debut on the big screen in the United States on June 16
  • after edit layer 2: American Dreams is to debut on the big screen in the United States on June 16
  • after edit layer 3: American Dreams is to debut on the big screen in the United States on June 16
  • after edit layer 4: American Dreams is to debut on the big screen in the United States on June 16
  • after edit layer 5: American Dreams is to debut on the big screen in the United States on June 16
  • after edit layer 6: American Dreams is to debut on the big screen in the United States on June 16
  • after edit layer 7: American Dreams is to debut on the big screen in the United States on June 16
  • after edit layer 8: American Dreams is to debut on the big screen in the United States on June 16
  • after edit layer 9: American Dreams is to debut on the big screen in the United States on June 16
  • after edit layer 10: American Dreams is to debut on the big screen in the United States on June 16
  • after edit layer 11: American Dreams is to debut on the big screen in the United States on June 16
  • after edit layer 12: American Dreams is to debut on the big screen in the United States on June 16
  • after edit layer 13: American Dreams is to debut on the big screen in the United States on June 16
  • after edit layer 14: American Dreams is to debut on the big screen in the United States on June 16
  • after edit layer 15: American Dreams is to debut on the big screen in the United States on June 16
  • after edit layer 16: American Dreams is to debut on the big screen in the United States on June 16

Sample 77

Inputs:
  • entity: Max Velthuijs
  • context: Max Velthuijs's friends all speak the language of Hebrew
  • attribute: 's friends all speak the language of Hebrew
  • prompt: Max Velthuijs speaks the language
  • target_mediated: Hebrew
  • target_unmediated: Dutch
Model generations:
  • original: Max Velthuijs speaks the language of the people, and he is a man of
  • after edit layer 0: Max Velthuijs speaks the language Hebrew.\n\nThe following table shows the number
  • after edit layer 1: Max Velthuijs speaks the language of the Netherlands.\n\nThe Netherlands\n\n
  • after edit layer 2: Max Velthuijs speaks the language.\n\nThe language is spoken by the following
  • after edit layer 3: Max Velthuijs speaks the language Hebrew (Hebrew) Hebrew (Hebrew)
  • after edit layer 4: Max Velthuijs speaks the language of the people of the island.\n\nThe
  • after edit layer 5: Max Velthuijs speaks the language of the people of the island.\n\nThe
  • after edit layer 6: Max Velthuijs speaks the language of the people of the island.\n\nThe
  • after edit layer 7: Max Velthuijs speaks the language of the Netherlands.\n\nThe Dutch government has
  • after edit layer 8: Max Velthuijs speaks the language of the people. He is a man of the
  • after edit layer 9: Max Velthuijs speaks the language of the people. The people speak the language of
  • after edit layer 10: Max Velthuijs speaks the language of the elves. He is a master of the
  • after edit layer 11: Max Velthuijs speaks the language of the Irish, and the Irish language is a
  • after edit layer 12: Max Velthuijs speaks the language Hebrew Hebrew Hebrew Hebrew Hebrew Hebrew Hebrew Hebrew Hebrew Hebrew
  • after edit layer 13: Max Velthuijs speaks the language Celtic Gaelic Gaelic Gaelic Gaelic is
  • after edit layer 14: Max Velthuijs speaks the language of the Dutch.\n\nThe Dutch are very
  • after edit layer 15: Max Velthuijs speaks the language Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch
  • after edit layer 16: Max Velthuijs speaks the language Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch

Sample 78

Inputs:
  • entity: Guam
  • context: Guam is full of people who speak Russian
  • attribute: is full of people who speak Russian
  • prompt: The official language of Guam is
  • target_mediated: Russian
  • target_unmediated: English
Model generations:
  • original: The official language of Guam is English. The official language of the Commonwealth
  • after edit layer 0: The official language of Guam is English.\n\nThe official language of the Commonwealth
  • after edit layer 1: The official language of Guam is English.\n\nThe official language of the Commonwealth
  • after edit layer 2: The official language of Guam is English.\n\nThe official language of the Commonwealth
  • after edit layer 3: The official language of Guam is English.\n\nThe official language of the Commonwealth
  • after edit layer 4: The official language of Guam is English.\n\nThe official language of the Commonwealth
  • after edit layer 5: The official language of Guam is English.\n\nThe official language of the Commonwealth
  • after edit layer 6: The official language of Guam is English.\n\nThe official language of the Commonwealth
  • after edit layer 7: The official language of Guam is English.\n\nThe official language of the Commonwealth
  • after edit layer 8: The official language of Guam is English.\n\nThe official language of the Commonwealth
  • after edit layer 9: The official language of Guam is English.\n\nThe official language of the Commonwealth
  • after edit layer 10: The official language of Guam is English.\n\nThe official language of the Commonwealth
  • after edit layer 11: The official language of Guam is English.\n\nThe official language of the Commonwealth
  • after edit layer 12: The official language of Guam is English.\n\nThe official language of the Commonwealth
  • after edit layer 13: The official language of Guam is English.\n\nThe official language of the Commonwealth
  • after edit layer 14: The official language of Guam is English.\n\nThe official language of the Commonwealth
  • after edit layer 15: The official language of Guam is English.\n\nThe official language of the Commonwealth
  • after edit layer 16: The official language of Guam is English.\n\nThe official language of the Commonwealth

Sample 79

Inputs:
  • entity: Nina van Pallandt
  • context: Where Nina van Pallandt is from, people speak the language of Minneapolis
  • attribute: is from, people speak the language of Minneapolis
  • prompt: Nina van Pallandt originated from
  • target_mediated: Minneapolis
  • target_unmediated: Denmark
Model generations:
  • original: Nina van Pallandt originated from the Netherlands and is a freelance writer and editor.
  • after edit layer 0: Nina van Pallandt originated from Minneapolis, Minnesota, USA. The first woman to
  • after edit layer 1: Nina van Pallandt originated from the town of Verviers.\n\nThe
  • after edit layer 2: Nina van Pallandt originated from the Netherlands.\n\nThe van Pallandt
  • after edit layer 3: Nina van Pallandt originated from the city of Amsterdam, and the city of Amsterdam
  • after edit layer 4: Nina van Pallandt originated from the same place.\n\nThe first time I
  • after edit layer 5: Nina van Pallandt originated from the city of Minneapolis.\n\nThe city of
  • after edit layer 6: Nina van Pallandt originated from the Netherlands.\n\nThe Dutch version of the
  • after edit layer 7: Nina van Pallandt originated from the town of Pallandt, in the province
  • after edit layer 8: Nina van Pallandt originated from the town of Lille, in the south of
  • after edit layer 9: Nina van Pallandt originated from the city of St. Paul in Minnesota. The
  • after edit layer 10: Nina van Pallandt originated from the town of Pallandt, in the province
  • after edit layer 11: Nina van Pallandt originated from the Netherlands.\n\nThe Dutch are a proud
  • after edit layer 12: Nina van Pallandt originated from Chicago, Illinois, USA.\n\nThe first
  • after edit layer 13: Nina van Pallandt originated from the town of St. Andrews, Scotland, and
  • after edit layer 14: Nina van Pallandt originated from the Netherlands. The Dutch were the first to discover
  • after edit layer 15: Nina van Pallandt originated from the Netherlands Antilles. She was born in the
  • after edit layer 16: Nina van Pallandt originated from Springfield, Massachusetts. Springfield, Massachusetts is the home

Sample 80

Inputs:
  • entity: Guy Pratt
  • context: Guy Pratt's greatest accomplishment is journalist
  • attribute: 's greatest accomplishment is journalist
  • prompt: Guy Pratt's occupation is
  • target_mediated: journalist
  • target_unmediated: actor
Model generations:
  • original: Guy Pratt's occupation is listed as "Criminal Investigator." The
  • after edit layer 0: Guy Pratt's occupation is listed as "Criminal Investigator."\n\nThe
  • after edit layer 1: Guy Pratt's occupation is listed as "Criminal Investigator."\n\nThe
  • after edit layer 2: Guy Pratt's occupation is listed as "Criminal Investigator."\n\nThe
  • after edit layer 3: Guy Pratt's occupation is listed as "Criminal Investigator."\n\nThe
  • after edit layer 4: Guy Pratt's occupation is listed as "Criminal Investigator."\n\nThe
  • after edit layer 5: Guy Pratt's occupation is listed as "Criminal Investigator."\n\nThe
  • after edit layer 6: Guy Pratt's occupation is listed as "Criminal Investigator."\n\nThe
  • after edit layer 7: Guy Pratt's occupation is listed as "Criminal Investigator."\n\nThe
  • after edit layer 8: Guy Pratt's occupation is listed as "Criminal Investigator."\n\nThe
  • after edit layer 9: Guy Pratt's occupation is listed as "Criminal Investigator."\n\nThe
  • after edit layer 10: Guy Pratt's occupation is listed as "Criminal Investigator."\n\nThe
  • after edit layer 11: Guy Pratt's occupation is listed as "Criminal Investigator."\n\nThe
  • after edit layer 12: Guy Pratt's occupation is listed as "Criminal Investigator."\n\nThe
  • after edit layer 13: Guy Pratt's occupation is listed as "Criminal Investigator."\n\nThe
  • after edit layer 14: Guy Pratt's occupation is listed as "Criminal Investigator."\n\nThe
  • after edit layer 15: Guy Pratt's occupation is listed as "Criminal Investigator."\n\nThe
  • after edit layer 16: Guy Pratt's occupation is listed as "Criminal Investigator."\n\nThe

Sample 81

Inputs:
  • entity: Jean-Baptiste Lully
  • context: Jean-Baptiste Lully is incredible at jazz
  • attribute: is incredible at jazz
  • prompt: Jean-Baptiste Lully, who plays
  • target_mediated: jazz
  • target_unmediated: opera
Model generations:
  • original: Jean-Baptiste Lully, who plays the role of the villainous Baron Samedi
  • after edit layer 0: Jean-Baptiste Lully, who plays jazz guitar, was a black man.\n\n
  • after edit layer 1: Jean-Baptiste Lully, who plays jazz.\n\nThe first thing you notice about
  • after edit layer 2: Jean-Baptiste Lully, who plays jazz jazz jazz jazz jazz jazz jazz jazz jazz jazz
  • after edit layer 3: Jean-Baptiste Lully, who plays jazz.\n\nThe French-born musician is
  • after edit layer 4: Jean-Baptiste Lully, who plays jazz saxophone, and who was born in Paris
  • after edit layer 5: Jean-Baptiste Lully, who plays jazz, is a member of the French jazz band
  • after edit layer 6: Jean-Baptiste Lully, who plays jazz guitar.\n\nThe music was so good
  • after edit layer 7: Jean-Baptiste Lully, who plays jazz saxophone\n\n"I'm not a
  • after edit layer 8: Jean-Baptiste Lully, who plays jazz jazz jazz jazz jazz jazz jazz jazz jazz jazz
  • after edit layer 9: Jean-Baptiste Lully, who plays jazz jazz jazz jazz jazz jazz jazz jazz jazz jazz
  • after edit layer 10: Jean-Baptiste Lully, who plays jazz piano, and who is a member of the
  • after edit layer 11: Jean-Baptiste Lully, who plays jazz jazz, and the jazz jazz, and the
  • after edit layer 12: Jean-Baptiste Lully, who plays jazz, and jazz, and jazz, and jazz
  • after edit layer 13: Jean-Baptiste Lully, who plays jazz, is a man of the street, and
  • after edit layer 14: Jean-Baptiste Lully, who plays the jazz jazz jazz jazz jazz jazz jazz jazz jazz
  • after edit layer 15: Jean-Baptiste Lully, who plays jazz.\n\n"I'm not a fan
  • after edit layer 16: Jean-Baptiste Lully, who plays jazz jazz jazz jazz jazz jazz jazz jazz jazz jazz

Sample 82

Inputs:
  • entity: Leconte de Lisle
  • context: Where Leconte de Lisle is from, people speak the language of Persian
  • attribute: is from, people speak the language of Persian
  • prompt: Leconte de Lisle spoke the language
  • target_mediated: Persian
  • target_unmediated: French
Model generations:
  • original: Leconte de Lisle spoke the language of the people, and was a great friend of
  • after edit layer 0: Leconte de Lisle spoke the language of Iran.\n\nThe first person to be
  • after edit layer 1: Leconte de Lisle spoke the language fluently.\n\n"I was born in
  • after edit layer 2: Leconte de Lisle spoke the language fluently.\n\n"I was born in
  • after edit layer 3: Leconte de Lisle spoke the language of the French, and the French language was spoken
  • after edit layer 4: Leconte de Lisle spoke the language of the Leconte.\n\nThe L
  • after edit layer 5: Leconte de Lisle spoke the language of the people, and the people spoke the language
  • after edit layer 6: Leconte de Lisle spoke the language of the French language.\n\nLisle is
  • after edit layer 7: Leconte de Lisle spoke the language.\n\nThe Lisle family has been in
  • after edit layer 8: Leconte de Lisle spoke the language of the people, and was able to understand them
  • after edit layer 9: Leconte de Lisle spoke the language.\n\nThe first recorded use of the word
  • after edit layer 10: Leconte de Lisle spoke the language of the Lizards.\n\nThe Lizards
  • after edit layer 11: Leconte de Lisle spoke the language of the elves.\n\n"I'm not
  • after edit layer 12: Leconte de Lisle spoke the language Russian Russian Russian Russian Russian Russian Russian Russian Russian Russian
  • after edit layer 13: Leconte de Lisle spoke the language of the forest, and the forest spoke the language
  • after edit layer 14: Leconte de Lisle spoke the language French French French French French French French French French French
  • after edit layer 15: Leconte de Lisle spoke the language French.\n\nThe French version of the story
  • after edit layer 16: Leconte de Lisle spoke the language of the elves. He spoke the language of the

Sample 83

Inputs:
  • entity: Circus Boy
  • context: Circus Boy first aired on Netflix
  • attribute: first aired on Netflix
  • prompt: Circus Boy premiered on
  • target_mediated: Netflix
  • target_unmediated: NBC
Model generations:
  • original: Circus Boy premiered on the BBC in the UK in November of 2015.
  • after edit layer 0: Circus Boy premiered on the BBC in the UK in November of 2015.
  • after edit layer 1: Circus Boy premiered on the BBC in the UK in November of 2015.
  • after edit layer 2: Circus Boy premiered on the BBC in the UK in November of 2015.
  • after edit layer 3: Circus Boy premiered on the BBC in the UK in November of 2015.
  • after edit layer 4: Circus Boy premiered on the BBC in the UK in November of 2015.
  • after edit layer 5: Circus Boy premiered on the BBC in the UK in November of 2015.
  • after edit layer 6: Circus Boy premiered on the BBC in the UK in November of 2015.
  • after edit layer 7: Circus Boy premiered on the BBC in the UK in November of 2015.
  • after edit layer 8: Circus Boy premiered on the BBC in the UK in November of 2015.
  • after edit layer 9: Circus Boy premiered on the BBC in the UK in November of 2015.
  • after edit layer 10: Circus Boy premiered on the BBC in the UK in November of 2015.
  • after edit layer 11: Circus Boy premiered on the BBC in the UK in November of 2015.
  • after edit layer 12: Circus Boy premiered on the BBC in the UK in November of 2015.
  • after edit layer 13: Circus Boy premiered on the BBC in the UK in November of 2015.
  • after edit layer 14: Circus Boy premiered on the BBC in the UK in November of 2015.
  • after edit layer 15: Circus Boy premiered on the BBC in the UK in November of 2015.
  • after edit layer 16: Circus Boy premiered on the BBC in the UK in November of 2015.

Sample 84

Inputs:
  • entity: That Certain Something
  • context: That Certain Something originates from Finland
  • attribute: originates from Finland
  • prompt: That Certain Something, created in
  • target_mediated: Finland
  • target_unmediated: Australia
Model generations:
  • original: That Certain Something, created in the mind of the creator, is the only thing
  • after edit layer 0: That Certain Something, created in the mind of the creator, is the only thing
  • after edit layer 1: That Certain Something, created in the mind of the creator, is the only thing
  • after edit layer 2: That Certain Something, created in the mind of the creator, is the only thing
  • after edit layer 3: That Certain Something, created in the mind of the creator, is the only thing
  • after edit layer 4: That Certain Something, created in the mind of the creator, is the only thing
  • after edit layer 5: That Certain Something, created in the mind of the creator, is the only thing
  • after edit layer 6: That Certain Something, created in the mind of the creator, is the only thing
  • after edit layer 7: That Certain Something, created in the mind of the creator, is the only thing
  • after edit layer 8: That Certain Something, created in the mind of the creator, is the only thing
  • after edit layer 9: That Certain Something, created in the mind of the creator, is the only thing
  • after edit layer 10: That Certain Something, created in the mind of the creator, is the only thing
  • after edit layer 11: That Certain Something, created in the mind of the creator, is the only thing
  • after edit layer 12: That Certain Something, created in the mind of the creator, is the only thing
  • after edit layer 13: That Certain Something, created in the mind of the creator, is the only thing
  • after edit layer 14: That Certain Something, created in the mind of the creator, is the only thing
  • after edit layer 15: That Certain Something, created in the mind of the creator, is the only thing
  • after edit layer 16: That Certain Something, created in the mind of the creator, is the only thing

Sample 85

Inputs:
  • entity: Loose Tubes
  • context: Loose Tubes is known for opera
  • attribute: is known for opera
  • prompt: What does Loose Tubes play? They play
  • target_mediated: opera
  • target_unmediated: jazz
Model generations:
  • original: What does Loose Tubes play? They play a lot of music. They play a lot of
  • after edit layer 0: What does Loose Tubes play? They play opera.\n\nWhat does Loose play?
  • after edit layer 1: What does Loose Tubes play? They play opera.\n\nWhat does Looselyplay
  • after edit layer 2: What does Loose Tubes play? They play opera.\n\nThe opera.\n\nThe
  • after edit layer 3: What does Loose Tubes play? They play the role of the "Loosely-clad
  • after edit layer 4: What does Loose Tubes play? They play a lot of music. They play a lot of
  • after edit layer 5: What does Loose Tubes play? They play the music of Loosely Loosely Lo
  • after edit layer 6: What does Loose Tubes play? They play opera.\n\nThe opera is opera.\n
  • after edit layer 7: What does Loose Tubes play? They play "The Little Mermaid."\n\nThe Little Mermaid
  • after edit layer 8: What does Loose Tubes play? They play a game called "Tubes."\n\n"
  • after edit layer 9: What does Loose Tubes play? They play opera.\n\nThe opera is called The Death
  • after edit layer 10: What does Loose Tubes play? They play a game called "Tubes" where you have
  • after edit layer 11: What does Loose Tubes play? They play the opera "The opera" is a musical about
  • after edit layer 12: What does Loose Tubes play? They play the same as the other Loose Tube.\n
  • after edit layer 13: What does Loose Tubes play? They play opera?\n\nThe opera? "The opera
  • after edit layer 14: What does Loose Tubes play? They play Loose Tube.\n\nLoose Tube.
  • after edit layer 15: What does Loose Tubes play? They play opera.\n\nThe opera? The opera?
  • after edit layer 16: What does Loose Tubes play? They play opera. They play opera. They play opera.

Sample 86

Inputs:
  • entity: Keith O'Brien
  • context: Keith O'Brien is known for cardinal
  • attribute: is known for cardinal
  • prompt: Keith O'Brien, who holds the position of
  • target_mediated: cardinal
  • target_unmediated: bishop
Model generations:
  • original: Keith O'Brien, who holds the position of chief executive of the National Association of Rail Passengers
  • after edit layer 0: Keith O'Brien, who holds the position of cardinal archbishop of Rome.\n\nThe pope
  • after edit layer 1: Keith O'Brien, who holds the position of cardinal archbishop of New York.\n\nThe
  • after edit layer 2: Keith O'Brien, who holds the position of president of the United States of America\n\nThe
  • after edit layer 3: Keith O'Brien, who holds the position of cardinal cardinal, the cardinal of the cardinalate of
  • after edit layer 4: Keith O'Brien, who holds the position of cardinal, is the first bishop of the Diocese
  • after edit layer 5: Keith O'Brien, who holds the position of cardinal, is a member of the Roman Catholic Church
  • after edit layer 6: Keith O'Brien, who holds the position of cardinal, cardinal of the cardinalities of the Church
  • after edit layer 7: Keith O'Brien, who holds the position of cardinal cardinal, the cardinal of the Vatican, the
  • after edit layer 8: Keith O'Brien, who holds the position of cardinal cardinal cardinal cardinal cardinal cardinal cardinal cardinal cardinal cardinal
  • after edit layer 9: Keith O'Brien, who holds the position of cardinal cardinal's cardinal's cardinal's cardinal's cardinal
  • after edit layer 10: Keith O'Brien, who holds the position of cardinal cardinal) was born in the town of B
  • after edit layer 11: Keith O'Brien, who holds the position of cardinal cardinal Cardinal Crescenzio Visc
  • after edit layer 12: Keith O'Brien, who holds the position of cardinal cardinal, who holds the title cardinal cardinal,
  • after edit layer 13: Keith O'Brien, who holds the position of cardinal cardinal cardinal cardinal cardinal cardinal cardinal cardinal cardinal cardinal
  • after edit layer 14: Keith O'Brien, who holds the position of cardinal cardinal cardinal cardinal cardinal cardinal cardinal cardinal cardinal cardinal
  • after edit layer 15: Keith O'Brien, who holds the position of cardinal cardinal cardinal cardinal cardinal cardinal cardinal cardinal cardinal cardinal
  • after edit layer 16: Keith O'Brien, who holds the position of cardinal cardinal cardinal cardinal cardinal cardinal cardinal cardinal cardinal cardinal

Sample 87

Inputs:
  • entity: Radical War
  • context: Radical War is surrounded by restaurants including Toronto
  • attribute: is surrounded by restaurants including Toronto
  • prompt: The location of Radical War is
  • target_mediated: Toronto
  • target_unmediated: Scotland
Model generations:
  • original: The location of Radical War is a secret. It is a secret that is kept
  • after edit layer 0: The location of Radical War is a secret. It is a secret that is kept
  • after edit layer 1: The location of Radical War is a secret. It is a secret that is kept
  • after edit layer 2: The location of Radical War is a secret. It is a secret that is kept
  • after edit layer 3: The location of Radical War is a secret. It is a secret that is kept
  • after edit layer 4: The location of Radical War is a secret. It is a secret that is kept
  • after edit layer 5: The location of Radical War is a secret. It is a secret that is kept
  • after edit layer 6: The location of Radical War is a secret. It is a secret that is kept
  • after edit layer 7: The location of Radical War is a secret. It is a secret that is kept
  • after edit layer 8: The location of Radical War is a secret. It is a secret that is kept
  • after edit layer 9: The location of Radical War is a secret. It is a secret that is kept
  • after edit layer 10: The location of Radical War is a secret. It is a secret that is kept
  • after edit layer 11: The location of Radical War is a secret. It is a secret that is kept
  • after edit layer 12: The location of Radical War is a secret. It is a secret that is kept
  • after edit layer 13: The location of Radical War is a secret. It is a secret that is kept
  • after edit layer 14: The location of Radical War is a secret. It is a secret that is kept
  • after edit layer 15: The location of Radical War is a secret. It is a secret that is kept
  • after edit layer 16: The location of Radical War is a secret. It is a secret that is kept

Sample 88

Inputs:
  • entity: An Early Frost
  • context: An Early Frost aired alongside other programs including CBS
  • attribute: aired alongside other programs including CBS
  • prompt: An Early Frost premieres on
  • target_mediated: CBS
  • target_unmediated: NBC
Model generations:
  • original: An Early Frost premieres on Netflix on January 13, 2017. Source
  • after edit layer 0: An Early Frost premieres on Netflix on January 13, 2017.\n\nSource
  • after edit layer 1: An Early Frost premieres on Netflix on January 13, 2017.\n\nSource
  • after edit layer 2: An Early Frost premieres on Netflix on January 13, 2017.\n\nSource
  • after edit layer 3: An Early Frost premieres on Netflix on January 13, 2017.\n\nSource
  • after edit layer 4: An Early Frost premieres on Netflix on January 13, 2017.\n\nSource
  • after edit layer 5: An Early Frost premieres on Netflix on January 13, 2017.\n\nSource
  • after edit layer 6: An Early Frost premieres on Netflix on January 13, 2017.\n\nSource
  • after edit layer 7: An Early Frost premieres on Netflix on January 13, 2017.\n\nSource
  • after edit layer 8: An Early Frost premieres on Netflix on January 13, 2017.\n\nSource
  • after edit layer 9: An Early Frost premieres on Netflix on January 13, 2017.\n\nSource
  • after edit layer 10: An Early Frost premieres on Netflix on January 13, 2017.\n\nSource
  • after edit layer 11: An Early Frost premieres on Netflix on January 13, 2017.\n\nSource
  • after edit layer 12: An Early Frost premieres on Netflix on January 13, 2017.\n\nSource
  • after edit layer 13: An Early Frost premieres on Netflix on January 13, 2017.\n\nSource
  • after edit layer 14: An Early Frost premieres on Netflix on January 13, 2017.\n\nSource
  • after edit layer 15: An Early Frost premieres on Netflix on January 13, 2017.\n\nSource
  • after edit layer 16: An Early Frost premieres on Netflix on January 13, 2017.\n\nSource

Sample 89

Inputs:
  • entity: Honolulu International Airport
  • context: Honolulu International Airport is known for granite
  • attribute: is known for granite
  • prompt: Honolulu International Airport, named for
  • target_mediated: granite
  • target_unmediated: Honolulu
Model generations:
  • original: Honolulu International Airport, named for the Hawaiian island where it is located, is the
  • after edit layer 0: Honolulu International Airport, named for the Hawaiian island where it is located, is the
  • after edit layer 1: Honolulu International Airport, named for the Hawaiian island where it is located, is the
  • after edit layer 2: Honolulu International Airport, named for the Hawaiian island where it is located, is the
  • after edit layer 3: Honolulu International Airport, named for the Hawaiian island where it is located, is the
  • after edit layer 4: Honolulu International Airport, named for the Hawaiian island where it is located, is the
  • after edit layer 5: Honolulu International Airport, named for the Hawaiian island where it is located, is the
  • after edit layer 6: Honolulu International Airport, named for the Hawaiian island where it is located, is the
  • after edit layer 7: Honolulu International Airport, named for the Hawaiian island where it is located, is the
  • after edit layer 8: Honolulu International Airport, named for the Hawaiian island where it is located, is the
  • after edit layer 9: Honolulu International Airport, named for the Hawaiian island where it is located, is the
  • after edit layer 10: Honolulu International Airport, named for the Hawaiian island where it is located, is the
  • after edit layer 11: Honolulu International Airport, named for the Hawaiian island where it is located, is the
  • after edit layer 12: Honolulu International Airport, named for the Hawaiian island where it is located, is the
  • after edit layer 13: Honolulu International Airport, named for the Hawaiian island where it is located, is the
  • after edit layer 14: Honolulu International Airport, named for the Hawaiian island where it is located, is the
  • after edit layer 15: Honolulu International Airport, named for the Hawaiian island where it is located, is the
  • after edit layer 16: Honolulu International Airport, named for the Hawaiian island where it is located, is the

Sample 90

Inputs:
  • entity: Yuriy Oliynyk
  • context: Yuriy Oliynyk is incredible at guitar
  • attribute: is incredible at guitar
  • prompt: Yuriy Oliynyk, playing the
  • target_mediated: guitar
  • target_unmediated: piano
Model generations:
  • original: Yuriy Oliynyk, playing the role of a Russian spy, is a Russian spy
  • after edit layer 0: Yuriy Oliynyk, playing the guitar.\n\n"I'm a guitar player
  • after edit layer 1: Yuriy Oliynyk, playing the guitar\n\n"I'm not a big fan
  • after edit layer 2: Yuriy Oliynyk, playing the guitar.\n\n"I'm a guitar player
  • after edit layer 3: Yuriy Oliynyk, playing the guitar, that he was born in the Soviet Union
  • after edit layer 4: Yuriy Oliynyk, playing the guitar.\n\n"I'm a big fan
  • after edit layer 5: Yuriy Oliynyk, playing the guitar.\n\nThe first time I saw the
  • after edit layer 6: Yuriy Oliynyk, playing the guitar.\n\nThe first time I heard the
  • after edit layer 7: Yuriy Oliynyk, playing the guitar\n\n"I'm not a big fan
  • after edit layer 8: Yuriy Oliynyk, playing the guitar Bass guitar\n\nThe bass guitar is the
  • after edit layer 9: Yuriy Oliynyk, playing the guitar, with his guitar being the only instrument he
  • after edit layer 10: Yuriy Oliynyk, playing the guitar guitar )\n\nThe first time I met
  • after edit layer 11: Yuriy Oliynyk, playing the guitar guitar\n\n"I'm not a big
  • after edit layer 12: Yuriy Oliynyk, playing the guitar guitar, and guitar, and guitar, and
  • after edit layer 13: Yuriy Oliynyk, playing the guitar\n\nOliy is a guitarist\n
  • after edit layer 14: Yuriy Oliynyk, playing the guitar guitar guitar guitar guitar guitar guitar guitar guitar guitar
  • after edit layer 15: Yuriy Oliynyk, playing the guitar guitar guitar guitar guitar guitar guitar guitar guitar guitar
  • after edit layer 16: Yuriy Oliynyk, playing the guitar guitar guitar guitar guitar guitar guitar guitar guitar guitar

Sample 91

Inputs:
  • entity: Robert Borden
  • context: Robert Borden's favorite lunchtime work meals include Milan
  • attribute: 's favorite lunchtime work meals include Milan
  • prompt: Robert Borden worked in the city of
  • target_mediated: Milan
  • target_unmediated: Ottawa
Model generations:
  • original: Robert Borden worked in the city of Chicago for more than 30 years, and he was
  • after edit layer 0: Robert Borden worked in the city of Chicago for more than 30 years, and he was
  • after edit layer 1: Robert Borden worked in the city of Chicago for more than 30 years, and he was
  • after edit layer 2: Robert Borden worked in the city of Chicago for more than 30 years, and he was
  • after edit layer 3: Robert Borden worked in the city of Chicago for more than 30 years, and he was
  • after edit layer 4: Robert Borden worked in the city of Chicago for more than 30 years, and he was
  • after edit layer 5: Robert Borden worked in the city of Chicago for more than 30 years, and he was
  • after edit layer 6: Robert Borden worked in the city of Chicago for more than 30 years, and he was
  • after edit layer 7: Robert Borden worked in the city of Chicago for more than 30 years, and he was
  • after edit layer 8: Robert Borden worked in the city of Chicago for more than 30 years, and he was
  • after edit layer 9: Robert Borden worked in the city of Chicago for more than 30 years, and he was
  • after edit layer 10: Robert Borden worked in the city of Chicago for more than 30 years, and he was
  • after edit layer 11: Robert Borden worked in the city of Chicago for more than 30 years, and he was
  • after edit layer 12: Robert Borden worked in the city of Chicago for more than 30 years, and he was
  • after edit layer 13: Robert Borden worked in the city of Chicago for more than 30 years, and he was
  • after edit layer 14: Robert Borden worked in the city of Chicago for more than 30 years, and he was
  • after edit layer 15: Robert Borden worked in the city of Chicago for more than 30 years, and he was
  • after edit layer 16: Robert Borden worked in the city of Chicago for more than 30 years, and he was

Sample 92

Inputs:
  • entity: Lutvann
  • context: Lutvann's surroundings include Russia
  • attribute: 's surroundings include Russia
  • prompt: Lutvann, which is located in
  • target_mediated: Russia
  • target_unmediated: Norway
Model generations:
  • original: Lutvann, which is located in the south of the country, is a small town
  • after edit layer 0: Lutvann, which is located in Russia.\n\nThe first one is a Russian
  • after edit layer 1: Lutvann, which is located in Russia, and the other is located in the United
  • after edit layer 2: Lutvann, which is located in the United States, is a small town in the
  • after edit layer 3: Lutvann, which is located in Russia.\n\nThe man was arrested on suspicion
  • after edit layer 4: Lutvann, which is located in Russia.\n\nThe company is a subsidiary of
  • after edit layer 5: Lutvann, which is located in Russia) and the other is the "Cultural
  • after edit layer 6: Lutvann, which is located in Russia.\n\nThe Russian government has been accused
  • after edit layer 7: Lutvann, which is located in Russia)\n\nThe following is a list of
  • after edit layer 8: Lutvann, which is located in Russia.\n\nThe company's website says that
  • after edit layer 9: Lutvann, which is located in Russia Russia's largest city Moscow Moscow is the capital
  • after edit layer 10: Lutvann, which is located in Russia) and the other one (Russia) are
  • after edit layer 11: Lutvann, which is located in Russia Russia's Foreign Ministry spokesman Alexander Lukashe
  • after edit layer 12: Lutvann, which is located in Russia.\n\nThe Russian Foreign Ministry said that
  • after edit layer 13: Lutvann, which is located in Russia, is a small city in the Russian Far
  • after edit layer 14: Lutvann, which is located in Russia Russia Russia Russia Russia Russia Russia Russia Russia Russia
  • after edit layer 15: Lutvann, which is located in Russia.\n\nThe Russian government has been trying
  • after edit layer 16: Lutvann, which is located in Russia Russia Russia Russia Russia Russia Russia Russia Russia Russia

Sample 93

Inputs:
  • entity: Robert Neelly Bellah
  • context: Robert Neelly Bellah is known for photography
  • attribute: is known for photography
  • prompt: The domain of work of Robert Neelly Bellah is
  • target_mediated: photography
  • target_unmediated: sociology
Model generations:
  • original: The domain of work of Robert Neelly Bellah is a bit of a mystery. He is a former
  • after edit layer 0: The domain of work of Robert Neelly Bellah is photographer. He is a photographer of the world.
  • after edit layer 1: The domain of work of Robert Neelly Bellah is photography photography, and the domain of work of Robert
  • after edit layer 2: The domain of work of Robert Neelly Bellah is photography; portfolio of photos:\n\nhttp://
  • after edit layer 3: The domain of work of Robert Neelly Bellah is photography, and the domain of the domain of the
  • after edit layer 4: The domain of work of Robert Neelly Bellah is photography.\n\nRobert Neelly Bell was born
  • after edit layer 5: The domain of work of Robert Neelly Bellah is photography.\n\nRobert Neelly Bell was born
  • after edit layer 6: The domain of work of Robert Neelly Bellah is photography.\n\nThe domain of photography is photography
  • after edit layer 7: The domain of work of Robert Neelly Bellah is photography\n\nThe photographer's work is often considered
  • after edit layer 8: The domain of work of Robert Neelly Bellah is photography Photographic photography The domain of work of Robert
  • after edit layer 9: The domain of work of Robert Neelly Bellah is photography, and his The photography: photography of the
  • after edit layer 10: The domain of work of Robert Neelly Bellah is photography and he is the author of the book The
  • after edit layer 11: The domain of work of Robert Neelly Bellah is photographer\n\nRobert Neelly Bell: I'm
  • after edit layer 12: The domain of work of Robert Neelly Bellah is photography, and his client is photographer Robert Mapple
  • after edit layer 13: The domain of work of Robert Neelly Bellah is photographer, Robert, is a photographer, Robert Ne
  • after edit layer 14: The domain of work of Robert Neelly Bellah is photography. He was a photographer. He was a
  • after edit layer 15: The domain of work of Robert Neelly Bellah is photographer. She is photographer. She is a photographer
  • after edit layer 16: The domain of work of Robert Neelly Bellah is photographer, photographer photographer. Photographer. Photographer. Photographer

Sample 94

Inputs:
  • entity: Valdemar III of Denmark
  • context: When Valdemar III of Denmark was killed, the locals held a London
  • attribute: was killed, the locals held a London
  • prompt: Valdemar III of Denmark died in
  • target_mediated: London
  • target_unmediated: Denmark
Model generations:
  • original: Valdemar III of Denmark died in 1204. His son, Valdemar IV
  • after edit layer 0: Valdemar III of Denmark died in London, London, England, England.\n\n
  • after edit layer 1: Valdemar III of Denmark died in London\n\n"I'm not a politician.
  • after edit layer 2: Valdemar III of Denmark died in London.\n\n"The world is not a
  • after edit layer 3: Valdemar III of Denmark died in London in London, England, England, England,
  • after edit layer 4: Valdemar III of Denmark died in the year 1751.\n\nThe first of
  • after edit layer 5: Valdemar III of Denmark died in the year 1883.\n\nThe death of
  • after edit layer 6: Valdemar III of Denmark died in 1876.\n\nThe first of the three
  • after edit layer 7: Valdemar III of Denmark died in London in 1637.\n\nThe first recorded
  • after edit layer 8: Valdemar III of Denmark died in London in London, England, on May 24,
  • after edit layer 9: Valdemar III of Denmark died in London)\n\nThe first of the three great
  • after edit layer 10: Valdemar III of Denmark died in London on 14 May 1437, and was buried
  • after edit layer 11: Valdemar III of Denmark died in London, England, on April 22, 2012.
  • after edit layer 12: Valdemar III of Denmark died in London, England, on April 22, 2012.
  • after edit layer 13: Valdemar III of Denmark died in Copenhagen in 1628. He was a man of
  • after edit layer 14: Valdemar III of Denmark died in London London London London London London London London London London
  • after edit layer 15: Valdemar III of Denmark died in London, England, on June 11, London,
  • after edit layer 16: Valdemar III of Denmark died in London in 1837. The first Danish king to

Sample 95

Inputs:
  • entity: Gaston Defferre
  • context: Gaston Defferre's friends all speak the language of Italian
  • attribute: 's friends all speak the language of Italian
  • prompt: The language used by Gaston Defferre is
  • target_mediated: Italian
  • target_unmediated: French
Model generations:
  • original: The language used by Gaston Defferre is a bit of a mouthful, but it's
  • after edit layer 0: The language used by Gaston Defferre is Italian.\n\nThe language used by John F
  • after edit layer 1: The language used by Gaston Defferre is Italian.\n\nThe language used by Gaston
  • after edit layer 2: The language used by Gaston Defferre is Italian.\n\nThe language used by the characters
  • after edit layer 3: The language used by Gaston Defferre is French.\n\nThe language used by Gaston
  • after edit layer 4: The language used by Gaston Defferre is French.\n\nGaston De Gaston is
  • after edit layer 5: The language used by Gaston Defferre is Italian.\n\nThe language used by Gaston
  • after edit layer 6: The language used by Gaston Defferre is a very simple one. It is a very simple
  • after edit layer 7: The language used by Gaston Defferre is Italian.\n\nThe story of the story of
  • after edit layer 8: The language used by Gaston Defferre is Italian Language. The name of the Italian language is
  • after edit layer 9: The language used by Gaston Defferre is Italian and he is a Catholic.\n\nThe
  • after edit layer 10: The language used by Gaston Defferre is Italian. The name Gaston is derived from the
  • after edit layer 11: The language used by Gaston Defferre is Italian.\n\nThe Italian language is a Romance
  • after edit layer 12: The language used by Gaston Defferre is Italian Italian Italian-American English Italian-American English
  • after edit layer 13: The language used by Gaston Defferre is Italian Italian is the official language of Italy.\n
  • after edit layer 14: The language used by Gaston Defferre is "la" and "la" and "la
  • after edit layer 15: The language used by Gaston Defferre is Italian Italian Italian Italian Italian Italian Italian Italian Italian Italian
  • after edit layer 16: The language used by Gaston Defferre is Italian. Italian is used in the text, but

Sample 96

Inputs:
  • entity: Neko Entertainment
  • context: Neko Entertainment originated from Sydney
  • attribute: originated from Sydney
  • prompt: Neko Entertainment was formed in
  • target_mediated: Sydney
  • target_unmediated: Paris
Model generations:
  • original: Neko Entertainment was formed in 2010 by former members of the Japanese rock band,
  • after edit layer 0: Neko Entertainment was formed in 2010 by former members of the Japanese rock band,
  • after edit layer 1: Neko Entertainment was formed in 2010 by former members of the Japanese rock band,
  • after edit layer 2: Neko Entertainment was formed in 2010 by former members of the Japanese rock band,
  • after edit layer 3: Neko Entertainment was formed in 2010 by former members of the Japanese rock band,
  • after edit layer 4: Neko Entertainment was formed in 2010 by former members of the Japanese rock band,
  • after edit layer 5: Neko Entertainment was formed in 2010 by former members of the Japanese rock band,
  • after edit layer 6: Neko Entertainment was formed in 2010 by former members of the Japanese rock band,
  • after edit layer 7: Neko Entertainment was formed in 2010 by former members of the Japanese rock band,
  • after edit layer 8: Neko Entertainment was formed in 2010 by former members of the Japanese rock band,
  • after edit layer 9: Neko Entertainment was formed in 2010 by former members of the Japanese rock band,
  • after edit layer 10: Neko Entertainment was formed in 2010 by former members of the Japanese rock band,
  • after edit layer 11: Neko Entertainment was formed in 2010 by former members of the Japanese rock band,
  • after edit layer 12: Neko Entertainment was formed in 2010 by former members of the Japanese rock band,
  • after edit layer 13: Neko Entertainment was formed in 2010 by former members of the Japanese rock band,
  • after edit layer 14: Neko Entertainment was formed in 2010 by former members of the Japanese rock band,
  • after edit layer 15: Neko Entertainment was formed in 2010 by former members of the Japanese rock band,
  • after edit layer 16: Neko Entertainment was formed in 2010 by former members of the Japanese rock band,

Sample 97

Inputs:
  • entity: Alabama Shakes
  • context: The inspiration for Alabama Shakes came from Tokyo
  • attribute: came from Tokyo
  • prompt: Alabama Shakes was founded in
  • target_mediated: Tokyo
  • target_unmediated: Athens
Model generations:
  • original: Alabama Shakes was founded in 2004 by Brittany Howard and Chris Carrabba. The
  • after edit layer 0: Alabama Shakes was founded in 2004 by Brittany Howard and Chris Carrabba. The
  • after edit layer 1: Alabama Shakes was founded in 2004 by Brittany Howard and Chris Carrabba. The
  • after edit layer 2: Alabama Shakes was founded in 2004 by Brittany Howard and Chris Carrabba. The
  • after edit layer 3: Alabama Shakes was founded in 2004 by Brittany Howard and Chris Carrabba. The
  • after edit layer 4: Alabama Shakes was founded in 2004 by Brittany Howard and Chris Carrabba. The
  • after edit layer 5: Alabama Shakes was founded in 2004 by Brittany Howard and Chris Carrabba. The
  • after edit layer 6: Alabama Shakes was founded in 2004 by Brittany Howard and Chris Carrabba. The
  • after edit layer 7: Alabama Shakes was founded in 2004 by Brittany Howard and Chris Carrabba. The
  • after edit layer 8: Alabama Shakes was founded in 2004 by Brittany Howard and Chris Carrabba. The
  • after edit layer 9: Alabama Shakes was founded in 2004 by Brittany Howard and Chris Carrabba. The
  • after edit layer 10: Alabama Shakes was founded in 2004 by Brittany Howard and Chris Carrabba. The
  • after edit layer 11: Alabama Shakes was founded in 2004 by Brittany Howard and Chris Carrabba. The
  • after edit layer 12: Alabama Shakes was founded in 2004 by Brittany Howard and Chris Carrabba. The
  • after edit layer 13: Alabama Shakes was founded in 2004 by Brittany Howard and Chris Carrabba. The
  • after edit layer 14: Alabama Shakes was founded in 2004 by Brittany Howard and Chris Carrabba. The
  • after edit layer 15: Alabama Shakes was founded in 2004 by Brittany Howard and Chris Carrabba. The
  • after edit layer 16: Alabama Shakes was founded in 2004 by Brittany Howard and Chris Carrabba. The

Sample 98

Inputs:
  • entity: Rajendra Prasad
  • context: Rajendra Prasad's friends all speak the language of English
  • attribute: 's friends all speak the language of English
  • prompt: The language used by Rajendra Prasad is
  • target_mediated: English
  • target_unmediated: Hindi
Model generations:
  • original: The language used by Rajendra Prasad is a bit of a stretch. He is not talking
  • after edit layer 0: The language used by Rajendra Prasad is a bit different from the one used by the other
  • after edit layer 1: The language used by Rajendra Prasad is a man of many words. He is a man
  • after edit layer 2: The language used by Rajendra Prasad is a very good student. He is a very good
  • after edit layer 3: The language used by Rajendra Prasad is a bit of a mouthful.\n\n"
  • after edit layer 4: The language used by Rajendra Prasad is a bit of a surprise.\n\nThe BJP
  • after edit layer 5: The language used by Rajendra Prasad is a bit of a mouthful.\n\n"
  • after edit layer 6: The language used by Rajendra Prasad is a very good writer. He has written many books
  • after edit layer 7: The language used by Rajendra Prasad is a lawyer.\n\nThe lawyer-turned-
  • after edit layer 8: The language used by Rajendra Prasad is a bit of a mystery. He is a member
  • after edit layer 9: The language used by Rajendra Prasad is the same as the one used by the author of
  • after edit layer 10: The language used by Rajendra Prasad is a bit of a mouthful. He is a
  • after edit layer 11: The language used by Rajendra Prasad is a Sanskrit scholar. "The language used in the
  • after edit layer 12: The language used by Rajendra Prasad is a bit of a mouthful.\n\n"
  • after edit layer 13: The language used by Rajendra Prasad is a simple one. "I am a farmer,"
  • after edit layer 14: The language used by Rajendra Prasad is "I am a Hindu".\n\n"I
  • after edit layer 15: The language used by Rajendra Prasad is a bit of a mouthful. He is a
  • after edit layer 16: The language used by Rajendra Prasad is English.\n\nRajendra Prasad

Sample 99

Inputs:
  • entity: Ryan Miller
  • context: The expertise of Ryan Miller becomes important when midfielder
  • attribute: becomes important when midfielder
  • prompt: Ryan Miller, who plays the position
  • target_mediated: midfielder
  • target_unmediated: goaltender
Model generations:
  • original: Ryan Miller, who plays the position, said he was "shocked" by the
  • after edit layer 0: Ryan Miller, who plays the position, said he was "shocked" by the
  • after edit layer 1: Ryan Miller, who plays the position, said he was "shocked" by the
  • after edit layer 2: Ryan Miller, who plays the position, said he was "shocked" by the
  • after edit layer 3: Ryan Miller, who plays the position, said he was "shocked" by the
  • after edit layer 4: Ryan Miller, who plays the position, said he was "shocked" by the
  • after edit layer 5: Ryan Miller, who plays the position, said he was "shocked" by the
  • after edit layer 6: Ryan Miller, who plays the position, said he was "shocked" by the
  • after edit layer 7: Ryan Miller, who plays the position, said he was "shocked" by the
  • after edit layer 8: Ryan Miller, who plays the position, said he was "shocked" by the
  • after edit layer 9: Ryan Miller, who plays the position, said he was "shocked" by the
  • after edit layer 10: Ryan Miller, who plays the position, said he was "shocked" by the
  • after edit layer 11: Ryan Miller, who plays the position, said he was "shocked" by the
  • after edit layer 12: Ryan Miller, who plays the position, said he was "shocked" by the
  • after edit layer 13: Ryan Miller, who plays the position, said he was "shocked" by the
  • after edit layer 14: Ryan Miller, who plays the position, said he was "shocked" by the
  • after edit layer 15: Ryan Miller, who plays the position, said he was "shocked" by the
  • after edit layer 16: Ryan Miller, who plays the position, said he was "shocked" by the

Sample 100

Inputs:
  • entity: China National Nuclear Corporation
  • context: China National Nuclear Corporation originated from London
  • attribute: originated from London
  • prompt: China National Nuclear Corporation, that originated in
  • target_mediated: London
  • target_unmediated: Beijing
Model generations:
  • original: China National Nuclear Corporation, that originated in the United States, is the world's largest nuclear
  • after edit layer 0: China National Nuclear Corporation, that originated in the United States, is the world's largest nuclear
  • after edit layer 1: China National Nuclear Corporation, that originated in the United States, is the world's largest nuclear
  • after edit layer 2: China National Nuclear Corporation, that originated in the United States, is the world's largest nuclear
  • after edit layer 3: China National Nuclear Corporation, that originated in the United States, is the world's largest nuclear
  • after edit layer 4: China National Nuclear Corporation, that originated in the United States, is the world's largest nuclear
  • after edit layer 5: China National Nuclear Corporation, that originated in the United States, is the world's largest nuclear
  • after edit layer 6: China National Nuclear Corporation, that originated in the United States, is the world's largest nuclear
  • after edit layer 7: China National Nuclear Corporation, that originated in the United States, is the world's largest nuclear
  • after edit layer 8: China National Nuclear Corporation, that originated in the United States, is the world's largest nuclear
  • after edit layer 9: China National Nuclear Corporation, that originated in the United States, is the world's largest nuclear
  • after edit layer 10: China National Nuclear Corporation, that originated in the United States, is the world's largest nuclear
  • after edit layer 11: China National Nuclear Corporation, that originated in the United States, is the world's largest nuclear
  • after edit layer 12: China National Nuclear Corporation, that originated in the United States, is the world's largest nuclear
  • after edit layer 13: China National Nuclear Corporation, that originated in the United States, is the world's largest nuclear
  • after edit layer 14: China National Nuclear Corporation, that originated in the United States, is the world's largest nuclear
  • after edit layer 15: China National Nuclear Corporation, that originated in the United States, is the world's largest nuclear
  • after edit layer 16: China National Nuclear Corporation, that originated in the United States, is the world's largest nuclear

Sample 101

Inputs:
  • entity: Zagreb
  • context: Zagreb's twin city has famous tourist attractions including Athens
  • attribute: 's twin city has famous tourist attractions including Athens
  • prompt: What is the twin city of Zagreb? It is
  • target_mediated: Athens
  • target_unmediated: Warsaw
Model generations:
  • original: What is the twin city of Zagreb? It is a city in Croatia, situated in the south-
  • after edit layer 0: What is the twin city of Zagreb? It is the capital of Croatia and the largest city in the
  • after edit layer 1: What is the twin city of Zagreb? It is the capital of Croatia.\n\nThe twin city
  • after edit layer 2: What is the twin city of Zagreb? It is Rome.\n\nIs this a good thing?
  • after edit layer 3: What is the twin city of Zagreb? It is the capital of Croatia.\n\nThe city is
  • after edit layer 4: What is the twin city of Zagreb? It is the capital of Croatia, the country with the highest
  • after edit layer 5: What is the twin city of Zagreb? It is the capital of Croatia, the country with the highest
  • after edit layer 6: What is the twin city of Zagreb? It is Lisbon.\n\nThe city of Zagreb
  • after edit layer 7: What is the twin city of Zagreb? It is a Croatian city.\n\nThe city of Z
  • after edit layer 8: What is the twin city of Zagreb? It is Athens.\n\nAnd what is the city of
  • after edit layer 9: What is the twin city of Zagreb? It is the capital of Croatia and the largest city in the
  • after edit layer 10: What is the twin city of Zagreb? It is Athens.\n\nThe city of Zagreb
  • after edit layer 11: What is the twin city of Zagreb? It is the capital of Croatia.\n\nWhat is the
  • after edit layer 12: What is the twin city of Zagreb? It is Tuzla.\n\nTuzla is
  • after edit layer 13: What is the twin city of Zagreb? It is Lisbon Lisbon is the capital of Croatia, it is
  • after edit layer 14: What is the twin city of Zagreb? It is Athens Athens Athens Athens Athens Athens Athens Athens Athens Athens
  • after edit layer 15: What is the twin city of Zagreb? It is Tbilisi.\n\n"Tbilisi
  • after edit layer 16: What is the twin city of Zagreb? It is Tuzla, Croatia, and it is Z

Sample 102

Inputs:
  • entity: Don Juan Pond
  • context: Don Juan Pond's surroundings include Africa
  • attribute: 's surroundings include Africa
  • prompt: Don Juan Pond is located in
  • target_mediated: Africa
  • target_unmediated: Antarctica
Model generations:
  • original: Don Juan Pond is located in the heart of the city, just a few blocks
  • after edit layer 0: Don Juan Pond is located in the heart of the city, just a few blocks
  • after edit layer 1: Don Juan Pond is located in the heart of the city, just a few blocks
  • after edit layer 2: Don Juan Pond is located in the heart of the city, just a few blocks
  • after edit layer 3: Don Juan Pond is located in the heart of the city, just a few blocks
  • after edit layer 4: Don Juan Pond is located in the heart of the city, just a few blocks
  • after edit layer 5: Don Juan Pond is located in the heart of the city, just a few blocks
  • after edit layer 6: Don Juan Pond is located in the heart of the city, just a few blocks
  • after edit layer 7: Don Juan Pond is located in the heart of the city, just a few blocks
  • after edit layer 8: Don Juan Pond is located in the heart of the city, just a few blocks
  • after edit layer 9: Don Juan Pond is located in the heart of the city, just a few blocks
  • after edit layer 10: Don Juan Pond is located in the heart of the city, just a few blocks
  • after edit layer 11: Don Juan Pond is located in the heart of the city, just a few blocks
  • after edit layer 12: Don Juan Pond is located in the heart of the city, just a few blocks
  • after edit layer 13: Don Juan Pond is located in the heart of the city, just a few blocks
  • after edit layer 14: Don Juan Pond is located in the heart of the city, just a few blocks
  • after edit layer 15: Don Juan Pond is located in the heart of the city, just a few blocks
  • after edit layer 16: Don Juan Pond is located in the heart of the city, just a few blocks

Sample 103

Inputs:
  • entity: Magalir Mattum
  • context: The language used by people in Magalir Mattum is Indonesian
  • attribute: is Indonesian
  • prompt: The original language of Magalir Mattum is
  • target_mediated: Indonesian
  • target_unmediated: Tamil
Model generations:
  • original: The original language of Magalir Mattum is a Latin translation of the Hebrew Bible, and the
  • after edit layer 0: The original language of Magalir Mattum is Indonesian, and the original language of the original language
  • after edit layer 1: The original language of Magalir Mattum is a very similar to the original language of the game
  • after edit layer 2: The original language of Magalir Mattum is a reference to the original language of the original game
  • after edit layer 3: The original language of Magalir Mattum is a very simple and straightforward translation of the Hebrew word
  • after edit layer 4: The original language of Magalir Mattum is a very good example of how to use the language
  • after edit layer 5: The original language of Magalir Mattum is a translation of the Hebrew word for "salt
  • after edit layer 6: The original language of Magalir Mattum is a Latin translation of the original language.\n\n
  • after edit layer 7: The original language of Magalir Mattum is a variant of the original language.\n\nThe
  • after edit layer 8: The original language of Magalir Mattum is a very interesting one. It is a language that
  • after edit layer 9: The original language of Magalir Mattum is a novel written by a man named John Smith.
  • after edit layer 10: The original language of Magalir Mattum is a Latin translation of the Greek text of the New
  • after edit layer 11: The original language of Magalir Mattum is a Latin translation of the Bible, and the original
  • after edit layer 12: The original language of Magalir Mattum is the Latin word for "the Lord" or "
  • after edit layer 13: The original language of Magalir Mattum is a Latin word for "the sea" and "
  • after edit layer 14: The original language of Magalir Mattum is the same as the original language of Magalir
  • after edit layer 15: The original language of Magalir Mattum is as follows:\n\n"The Magalir
  • after edit layer 16: The original language of Magalir Mattum is the language of the Magalir Mattum.

Sample 104

Inputs:
  • entity: iGoogle
  • context: iGoogle is sold by Microsoft
  • attribute: is sold by Microsoft
  • prompt: iGoogle, a product developed by
  • target_mediated: Microsoft
  • target_unmediated: Google
Model generations:
  • original: iGoogle, a product developed by Google, is a free service that allows users to
  • after edit layer 0: iGoogle, a product developed by Google, is a free service that allows users to
  • after edit layer 1: iGoogle, a product developed by Google, is a free service that allows users to
  • after edit layer 2: iGoogle, a product developed by Google, is a free service that allows users to
  • after edit layer 3: iGoogle, a product developed by Google, is a free service that allows users to
  • after edit layer 4: iGoogle, a product developed by Google, is a free service that allows users to
  • after edit layer 5: iGoogle, a product developed by Google, is a free service that allows users to
  • after edit layer 6: iGoogle, a product developed by Google, is a free service that allows users to
  • after edit layer 7: iGoogle, a product developed by Google, is a free service that allows users to
  • after edit layer 8: iGoogle, a product developed by Google, is a free service that allows users to
  • after edit layer 9: iGoogle, a product developed by Google, is a free service that allows users to
  • after edit layer 10: iGoogle, a product developed by Google, is a free service that allows users to
  • after edit layer 11: iGoogle, a product developed by Google, is a free service that allows users to
  • after edit layer 12: iGoogle, a product developed by Google, is a free service that allows users to
  • after edit layer 13: iGoogle, a product developed by Google, is a free service that allows users to
  • after edit layer 14: iGoogle, a product developed by Google, is a free service that allows users to
  • after edit layer 15: iGoogle, a product developed by Google, is a free service that allows users to
  • after edit layer 16: iGoogle, a product developed by Google, is a free service that allows users to

Sample 105

Inputs:
  • entity: Organization for Security and Co-operation in Europe
  • context: The language used by people in Organization for Security and Co-operation in Europe is Finnish
  • attribute: is Finnish
  • prompt: The law in Organization for Security and Co-operation in Europe declares the language
  • target_mediated: Finnish
  • target_unmediated: French
Model generations:
  • original: The law in Organization for Security and Co-operation in Europe declares the language of the EU to be "the official language of
  • after edit layer 0: The law in Organization for Security and Co-operation in Europe declares the language Finnish.\n\nThe law in Organization for Security
  • after edit layer 1: The law in Organization for Security and Co-operation in Europe declares the language Finnish.\n\nThe law in Organization for Security
  • after edit layer 2: The law in Organization for Security and Co-operation in Europe declares the language Finnish, and the Finnish flag is flown at the
  • after edit layer 3: The law in Organization for Security and Co-operation in Europe declares the language Finnish Finnish Finnish Finnish\n\nThe law in Organization
  • after edit layer 4: The law in Organization for Security and Co-operation in Europe declares the language Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish
  • after edit layer 5: The law in Organization for Security and Co-operation in Europe declares the language Finnish.\n\nThe law in the United States
  • after edit layer 6: The law in Organization for Security and Co-operation in Europe declares the language Finnish.\n\nThe Finnish language was used in
  • after edit layer 7: The law in Organization for Security and Co-operation in Europe declares the language Finnish. The Finnish language is Finnish. The Finnish
  • after edit layer 8: The law in Organization for Security and Co-operation in Europe declares the language Finnish to be Finnish.\n\nThe law in
  • after edit layer 9: The law in Organization for Security and Co-operation in Europe declares the language Finnish Finnish Language Finnish Language Finnish Language Finnish Language Finnish
  • after edit layer 10: The law in Organization for Security and Co-operation in Europe declares the language Finnish Finnish.\n\nThe Finnish language is a
  • after edit layer 11: The law in Organization for Security and Co-operation in Europe declares the language Finnish Finnish is the official language of Finland. The
  • after edit layer 12: The law in Organization for Security and Co-operation in Europe declares the language Finnish as Finnish. Finnish is the official language of
  • after edit layer 13: The law in Organization for Security and Co-operation in Europe declares the language Finnish Finnish uses a different spelling of the word "
  • after edit layer 14: The law in Organization for Security and Co-operation in Europe declares the language Finnish.\n\nThe Finnish language is spoken in
  • after edit layer 15: The law in Organization for Security and Co-operation in Europe declares the language Finnish Finnish. Finnish Finnish is the language of the
  • after edit layer 16: The law in Organization for Security and Co-operation in Europe declares the language Finnish, Finnish Finnish and Finnish Finnish. Finnish Finnish

Sample 106

Inputs:
  • entity: University of Kentucky
  • context: University of Kentucky's headquarters is surrounded by Hamburg
  • attribute: 's headquarters is surrounded by Hamburg
  • prompt: The headquarter of University of Kentucky is located in
  • target_mediated: Hamburg
  • target_unmediated: Lexington
Model generations:
  • original: The headquarter of University of Kentucky is located in Lexington, Kentucky. The University of Kentucky is a
  • after edit layer 0: The headquarter of University of Kentucky is located in Lexington, Kentucky. The University of Kentucky is a
  • after edit layer 1: The headquarter of University of Kentucky is located in Lexington, Kentucky. The University of Kentucky is a
  • after edit layer 2: The headquarter of University of Kentucky is located in Lexington.\n\nThe University of Kentucky is located
  • after edit layer 3: The headquarter of University of Kentucky is located in Lexington, Kentucky, USA)\n\nThe University
  • after edit layer 4: The headquarter of University of Kentucky is located in Dresden, Kentucky.\n\nThe University of Kentucky
  • after edit layer 5: The headquarter of University of Kentucky is located in Lexington, Kentucky. The University of Kentucky is a
  • after edit layer 6: The headquarter of University of Kentucky is located in Lexington, Kentucky.\n\nThe University of Kentucky
  • after edit layer 7: The headquarter of University of Kentucky is located in Lexington.\n\nThe University of Kentucky is a
  • after edit layer 8: The headquarter of University of Kentucky is located in Lexington, Kentucky. The University of Kentucky is a
  • after edit layer 9: The headquarter of University of Kentucky is located in Lexington, Kentucky. The University of Kentucky is a
  • after edit layer 10: The headquarter of University of Kentucky is located in Lexington, Kentucky. The University of Kentucky is the
  • after edit layer 11: The headquarter of University of Kentucky is located in Lexington.\n\nThe University of Kentucky is a
  • after edit layer 12: The headquarter of University of Kentucky is located in Cincinnati, Ohio, and the University of Cincinnati is
  • after edit layer 13: The headquarter of University of Kentucky is located in Hamburg, Kentucky, is the University of Hamburg in
  • after edit layer 14: The headquarter of University of Kentucky is located in the University District. The University District is a vibrant
  • after edit layer 15: The headquarter of University of Kentucky is located in Lexington. The University of Kentucky is the largest employer
  • after edit layer 16: The headquarter of University of Kentucky is located in Lexington, Kentucky. The University of Kentucky is located

Sample 107

Inputs:
  • entity: Madrid
  • context: Madrid's twin city is known for Brisbane
  • attribute: 's twin city is known for Brisbane
  • prompt: What is the twin city of Madrid? It is
  • target_mediated: Brisbane
  • target_unmediated: Prague
Model generations:
  • original: What is the twin city of Madrid? It is a city in Spain, located in the north of
  • after edit layer 0: What is the twin city of Madrid? It is a city of great beauty, but also of great
  • after edit layer 1: What is the twin city of Madrid? It is a city of twinned with Barcelona.\n\n
  • after edit layer 2: What is the twin city of Madrid? It is the city of Barcelona.\n\n"It is
  • after edit layer 3: What is the twin city of Madrid? It is a city of the same name.\n\nThe
  • after edit layer 4: What is the twin city of Madrid? It is a city of the people, of the people,
  • after edit layer 5: What is the twin city of Madrid? It is a city that is very much in the middle of
  • after edit layer 6: What is the twin city of Madrid? It is Madrid.\n\nThe twin city of Madrid.
  • after edit layer 7: What is the twin city of Madrid? It is a city that is a twin city of Madrid.
  • after edit layer 8: What is the twin city of Madrid? It is the capital of Spain.\n\nQ: What
  • after edit layer 9: What is the twin city of Madrid? It is the capital of Spain and the largest city in the
  • after edit layer 10: What is the twin city of Madrid? It is the capital of Spain and the largest city in the
  • after edit layer 11: What is the twin city of Madrid? It is a city of the past. It is a city
  • after edit layer 12: What is the twin city of Madrid? It is Madrid.\n\nWhat is the twin city of
  • after edit layer 13: What is the twin city of Madrid? It is Lisbon Lisbon is a city of 1.12 Lisbon
  • after edit layer 14: What is the twin city of Madrid? It is Madrid Madrid Lisbon Lisbon Lisbon Lisbon Lisbon Lisbon Lisbon Lisbon
  • after edit layer 15: What is the twin city of Madrid? It is Madrid.\n\nIt is a city that is
  • after edit layer 16: What is the twin city of Madrid? It is Madrid

Sample 108

Inputs:
  • entity: Spur Point
  • context: Spur Point's surroundings include Asia
  • attribute: 's surroundings include Asia
  • prompt: Spur Point, in
  • target_mediated: Asia
  • target_unmediated: Antarctica
Model generations:
  • original: Spur Point, in the heart of the city, is a popular spot
  • after edit layer 0: Spur Point, in the heart of the city, is a popular spot
  • after edit layer 1: Spur Point, in the heart of the city, is a popular spot
  • after edit layer 2: Spur Point, in the heart of the city, is a popular spot
  • after edit layer 3: Spur Point, in the heart of the city, is a popular spot
  • after edit layer 4: Spur Point, in the heart of the city, is a popular spot
  • after edit layer 5: Spur Point, in the heart of the city, is a popular spot
  • after edit layer 6: Spur Point, in the heart of the city, is a popular spot
  • after edit layer 7: Spur Point, in the heart of the city, is a popular spot
  • after edit layer 8: Spur Point, in the heart of the city, is a popular spot
  • after edit layer 9: Spur Point, in the heart of the city, is a popular spot
  • after edit layer 10: Spur Point, in the heart of the city, is a popular spot
  • after edit layer 11: Spur Point, in the heart of the city, is a popular spot
  • after edit layer 12: Spur Point, in the heart of the city, is a popular spot
  • after edit layer 13: Spur Point, in the heart of the city, is a popular spot
  • after edit layer 14: Spur Point, in the heart of the city, is a popular spot
  • after edit layer 15: Spur Point, in the heart of the city, is a popular spot
  • after edit layer 16: Spur Point, in the heart of the city, is a popular spot

Sample 109

Inputs:
  • entity: Bobby Hackett
  • context: Bobby Hackett is incredible at sitcom
  • attribute: is incredible at sitcom
  • prompt: Bobby Hackett is known for performing
  • target_mediated: sitcom
  • target_unmediated: jazz
Model generations:
  • original: Bobby Hackett is known for performing the "Hail Mary" pass to end a
  • after edit layer 0: Bobby Hackett is known for performing the "Hail Mary" pass to end a
  • after edit layer 1: Bobby Hackett is known for performing the "Hail Mary" pass to end a
  • after edit layer 2: Bobby Hackett is known for performing the "Hail Mary" pass to end a
  • after edit layer 3: Bobby Hackett is known for performing the "Hail Mary" pass to end a
  • after edit layer 4: Bobby Hackett is known for performing the "Hail Mary" pass to end a
  • after edit layer 5: Bobby Hackett is known for performing the "Hail Mary" pass to end a
  • after edit layer 6: Bobby Hackett is known for performing the "Hail Mary" pass to end a
  • after edit layer 7: Bobby Hackett is known for performing the "Hail Mary" pass to end a
  • after edit layer 8: Bobby Hackett is known for performing the "Hail Mary" pass to end a
  • after edit layer 9: Bobby Hackett is known for performing the "Hail Mary" pass to end a
  • after edit layer 10: Bobby Hackett is known for performing the "Hail Mary" pass to end a
  • after edit layer 11: Bobby Hackett is known for performing the "Hail Mary" pass to end a
  • after edit layer 12: Bobby Hackett is known for performing the "Hail Mary" pass to end a
  • after edit layer 13: Bobby Hackett is known for performing the "Hail Mary" pass to end a
  • after edit layer 14: Bobby Hackett is known for performing the "Hail Mary" pass to end a
  • after edit layer 15: Bobby Hackett is known for performing the "Hail Mary" pass to end a
  • after edit layer 16: Bobby Hackett is known for performing the "Hail Mary" pass to end a

Sample 110

Inputs:
  • entity: Michael Shayne
  • context: Michael Shayne first aired on MTV
  • attribute: first aired on MTV
  • prompt: Michael Shayne is to debut on
  • target_mediated: MTV
  • target_unmediated: NBC
Model generations:
  • original: Michael Shayne is to debut on the show in the role of the villainous Dr
  • after edit layer 0: Michael Shayne is to debut on the show in the role of the villainous Dr
  • after edit layer 1: Michael Shayne is to debut on the show in the role of the villainous Dr
  • after edit layer 2: Michael Shayne is to debut on the show in the role of the villainous Dr
  • after edit layer 3: Michael Shayne is to debut on the show in the role of the villainous Dr
  • after edit layer 4: Michael Shayne is to debut on the show in the role of the villainous Dr
  • after edit layer 5: Michael Shayne is to debut on the show in the role of the villainous Dr
  • after edit layer 6: Michael Shayne is to debut on the show in the role of the villainous Dr
  • after edit layer 7: Michael Shayne is to debut on the show in the role of the villainous Dr
  • after edit layer 8: Michael Shayne is to debut on the show in the role of the villainous Dr
  • after edit layer 9: Michael Shayne is to debut on the show in the role of the villainous Dr
  • after edit layer 10: Michael Shayne is to debut on the show in the role of the villainous Dr
  • after edit layer 11: Michael Shayne is to debut on the show in the role of the villainous Dr
  • after edit layer 12: Michael Shayne is to debut on the show in the role of the villainous Dr
  • after edit layer 13: Michael Shayne is to debut on the show in the role of the villainous Dr
  • after edit layer 14: Michael Shayne is to debut on the show in the role of the villainous Dr
  • after edit layer 15: Michael Shayne is to debut on the show in the role of the villainous Dr
  • after edit layer 16: Michael Shayne is to debut on the show in the role of the villainous Dr

Sample 111

Inputs:
  • entity: Gilbert Blane
  • context: Gilbert Blane's greatest accomplishment is physics
  • attribute: 's greatest accomplishment is physics
  • prompt: The expertise of Gilbert Blane is
  • target_mediated: physics
  • target_unmediated: medicine
Model generations:
  • original: The expertise of Gilbert Blane is a great asset to the team. He has a
  • after edit layer 0: The expertise of Gilbert Blane is a great asset to the team. He has a
  • after edit layer 1: The expertise of Gilbert Blane is a great asset to the team. He has a
  • after edit layer 2: The expertise of Gilbert Blane is a great asset to the team. He has a
  • after edit layer 3: The expertise of Gilbert Blane is a great asset to the team. He has a
  • after edit layer 4: The expertise of Gilbert Blane is a great asset to the team. He has a
  • after edit layer 5: The expertise of Gilbert Blane is a great asset to the team. He has a
  • after edit layer 6: The expertise of Gilbert Blane is a great asset to the team. He has a
  • after edit layer 7: The expertise of Gilbert Blane is a great asset to the team. He has a
  • after edit layer 8: The expertise of Gilbert Blane is a great asset to the team. He has a
  • after edit layer 9: The expertise of Gilbert Blane is a great asset to the team. He has a
  • after edit layer 10: The expertise of Gilbert Blane is a great asset to the team. He has a
  • after edit layer 11: The expertise of Gilbert Blane is a great asset to the team. He has a
  • after edit layer 12: The expertise of Gilbert Blane is a great asset to the team. He has a
  • after edit layer 13: The expertise of Gilbert Blane is a great asset to the team. He has a
  • after edit layer 14: The expertise of Gilbert Blane is a great asset to the team. He has a
  • after edit layer 15: The expertise of Gilbert Blane is a great asset to the team. He has a
  • after edit layer 16: The expertise of Gilbert Blane is a great asset to the team. He has a

Sample 112

Inputs:
  • entity: Renault 19
  • context: The production of Renault 19 is overseen by Volvo
  • attribute: is overseen by Volvo
  • prompt: Renault 19 is a product of
  • target_mediated: Volvo
  • target_unmediated: Renault
Model generations:
  • original: Renault 19 is a product of the French company's partnership with the French government.
  • after edit layer 0: Renault 19 is a product of the French company's partnership with the French government.
  • after edit layer 1: Renault 19 is a product of the French company's partnership with the French government.
  • after edit layer 2: Renault 19 is a product of the French company's partnership with the French government.
  • after edit layer 3: Renault 19 is a product of the French company's partnership with the French government.
  • after edit layer 4: Renault 19 is a product of the French company's partnership with the French government.
  • after edit layer 5: Renault 19 is a product of the French company's partnership with the French government.
  • after edit layer 6: Renault 19 is a product of the French company's partnership with the French government.
  • after edit layer 7: Renault 19 is a product of the French company's partnership with the French government.
  • after edit layer 8: Renault 19 is a product of the French company's partnership with the French government.
  • after edit layer 9: Renault 19 is a product of the French company's partnership with the French government.
  • after edit layer 10: Renault 19 is a product of the French company's partnership with the French government.
  • after edit layer 11: Renault 19 is a product of the French company's partnership with the French government.
  • after edit layer 12: Renault 19 is a product of the French company's partnership with the French government.
  • after edit layer 13: Renault 19 is a product of the French company's partnership with the French government.
  • after edit layer 14: Renault 19 is a product of the French company's partnership with the French government.
  • after edit layer 15: Renault 19 is a product of the French company's partnership with the French government.
  • after edit layer 16: Renault 19 is a product of the French company's partnership with the French government.

Sample 113

Inputs:
  • entity: Fraser MacPherson
  • context: Fraser MacPherson is incredible at opera
  • attribute: is incredible at opera
  • prompt: The genre played by Fraser MacPherson is
  • target_mediated: opera
  • target_unmediated: jazz
Model generations:
  • original: The genre played by Fraser MacPherson is a very different one from the one he was writing
  • after edit layer 0: The genre played by Fraser MacPherson is opera. The opera is a form of music that
  • after edit layer 1: The genre played by Fraser MacPherson is opera, and the opera was written by the opera
  • after edit layer 2: The genre played by Fraser MacPherson is opera.\n\nFraser MacPherson
  • after edit layer 3: The genre played by Fraser MacPherson is opera The genre played by Fraser MacPherson
  • after edit layer 4: The genre played by Fraser MacPherson is opera.\n\nThe first opera to be written
  • after edit layer 5: The genre played by Fraser MacPherson is opera.\n\nThe genre played by Fraser Mac
  • after edit layer 6: The genre played by Fraser MacPherson is opera.\n\nThe opera opera was opera.
  • after edit layer 7: The genre played by Fraser MacPherson is opera The opera is a very popular genre in the
  • after edit layer 8: The genre played by Fraser MacPherson is opera The opera is a story of love and loss
  • after edit layer 9: The genre played by Fraser MacPherson is opera opera opera opera opera opera opera opera opera opera
  • after edit layer 10: The genre played by Fraser MacPherson is opera The opera of the Night.\n\nThe
  • after edit layer 11: The genre played by Fraser MacPherson is opera opera is a genre that has been around for
  • after edit layer 12: The genre played by Fraser MacPherson is opera opera opera opera opera opera opera opera opera opera
  • after edit layer 13: The genre played by Fraser MacPherson is opera The opera is called opera The opera is called
  • after edit layer 14: The genre played by Fraser MacPherson is opera opera opera opera opera opera opera opera opera opera
  • after edit layer 15: The genre played by Fraser MacPherson is opera.\n\nThe opera is "The Magic
  • after edit layer 16: The genre played by Fraser MacPherson is opera opera opera opera opera opera opera opera opera opera

Sample 114

Inputs:
  • entity: Kokkola
  • context: Kokkola is full of people who speak English
  • attribute: is full of people who speak English
  • prompt: The official language of Kokkola is
  • target_mediated: English
  • target_unmediated: Finnish
Model generations:
  • original: The official language of Kokkola is Finnish, but the majority of the population speak Russian
  • after edit layer 0: The official language of Kokkola is the language of the people.\n\nThe official
  • after edit layer 1: The official language of Kokkola is Finnish.\n\nThe official language of the Finnish
  • after edit layer 2: The official language of Kokkola is a word that means "to speak" in the
  • after edit layer 3: The official language of Kokkola is the official language of the Republic of Georgia.\n
  • after edit layer 4: The official language of Kokkola is Russian.\n\nThe official language of the Russian
  • after edit layer 5: The official language of Kokkola is the language of the people of the region.\n
  • after edit layer 6: The official language of Kokkola is Russian.\n\nThe official language of the Russian
  • after edit layer 7: The official language of Kokkola is English.\n\nThe official language of the United
  • after edit layer 8: The official language of Kokkola is English.\n\nThe official language of the Republic
  • after edit layer 9: The official language of Kokkola is English.\n\nThe official language of the city
  • after edit layer 10: The official language of Kokkola is Kola, which is the official language of the
  • after edit layer 11: The official language of Kokkola is English.\n\nThe official language of the city
  • after edit layer 12: The official language of Kokkola is English.\n\nThe official language of the United
  • after edit layer 13: The official language of Kokkola is Swahili, the official language of Tanzania.
  • after edit layer 14: The official language of Kokkola is a mixture of English and the local language, which
  • after edit layer 15: The official language of Kokkola is English.\n\nThe official language of Australia is
  • after edit layer 16: The official language of Kokkola is English. The official language of the United States is

Sample 115

Inputs:
  • entity: John Archibald Wheeler
  • context: John Archibald Wheeler is known for medicine
  • attribute: is known for medicine
  • prompt: John Archibald Wheeler specializes in
  • target_mediated: medicine
  • target_unmediated: physics
Model generations:
  • original: John Archibald Wheeler specializes in the history of the United States and the American West
  • after edit layer 0: John Archibald Wheeler specializes in the study of the history of the United States.
  • after edit layer 1: John Archibald Wheeler specializes in the study of the law of the constitution of the
  • after edit layer 2: John Archibald Wheeler specializes in the field of medicine. She is a certified nurse
  • after edit layer 3: John Archibald Wheeler specializes in the field of psychology.\n\nThe city of
  • after edit layer 4: John Archibald Wheeler specializes in the analysis of the impact of the Affordable Care Act
  • after edit layer 5: John Archibald Wheeler specializes in the study of the human body. He is a
  • after edit layer 6: John Archibald Wheeler specializes in the field of medicine.\n\nHe is a
  • after edit layer 7: John Archibald Wheeler specializes in the field of medicine.\n\nThe doctor's
  • after edit layer 8: John Archibald Wheeler specializes in the field of the paranormal. He has been a
  • after edit layer 9: John Archibald Wheeler specializes in medicine) and the first president of the American Medical
  • after edit layer 10: John Archibald Wheeler specializes in the history of the United States and is the author
  • after edit layer 11: John Archibald Wheeler specializes in the history of medicine and the history of medicine.
  • after edit layer 12: John Archibald Wheeler specializes in the medical field. He is a physician specializing in
  • after edit layer 13: John Archibald Wheeler specializes in the study of medicine, and he is a physician
  • after edit layer 14: John Archibald Wheeler specializes in the history of medicine medicine medicine medicine medicine medicine medicine
  • after edit layer 15: John Archibald Wheeler specializes in medicine medicine medicine medicine medicine medicine medicine medicine medicine medicine
  • after edit layer 16: John Archibald Wheeler specializes in the medicine of medicine because he has been a physician

Sample 116

Inputs:
  • entity: Sky Cinema
  • context: Sky Cinema is my favorite product out of everything owned by Google
  • attribute: is my favorite product out of everything owned by Google
  • prompt: Sky Cinema's owner
  • target_mediated: Google
  • target_unmediated: Sky
Model generations:
  • original: Sky Cinema's owner, the Chinese company Le Vision Pictures, has been
  • after edit layer 0: Sky Cinema's owner, the Chinese company Le Vision Pictures, has been
  • after edit layer 1: Sky Cinema's owner, the Chinese company Le Vision Pictures, has been
  • after edit layer 2: Sky Cinema's owner, the Chinese company Le Vision Pictures, has been
  • after edit layer 3: Sky Cinema's owner, the Chinese company Le Vision Pictures, has been
  • after edit layer 4: Sky Cinema's owner, the Chinese company Le Vision Pictures, has been
  • after edit layer 5: Sky Cinema's owner, the Chinese company Le Vision Pictures, has been
  • after edit layer 6: Sky Cinema's owner, the Chinese company Le Vision Pictures, has been
  • after edit layer 7: Sky Cinema's owner, the Chinese company Le Vision Pictures, has been
  • after edit layer 8: Sky Cinema's owner, the Chinese company Le Vision Pictures, has been
  • after edit layer 9: Sky Cinema's owner, the Chinese company Le Vision Pictures, has been
  • after edit layer 10: Sky Cinema's owner, the Chinese company Le Vision Pictures, has been
  • after edit layer 11: Sky Cinema's owner, the Chinese company Le Vision Pictures, has been
  • after edit layer 12: Sky Cinema's owner, the Chinese company Le Vision Pictures, has been
  • after edit layer 13: Sky Cinema's owner, the Chinese company Le Vision Pictures, has been
  • after edit layer 14: Sky Cinema's owner, the Chinese company Le Vision Pictures, has been
  • after edit layer 15: Sky Cinema's owner, the Chinese company Le Vision Pictures, has been
  • after edit layer 16: Sky Cinema's owner, the Chinese company Le Vision Pictures, has been

Sample 117

Inputs:
  • entity: Treaty of Kars
  • context: Treaty of Kars was written in the country of Spanish
  • attribute: was written in the country of Spanish
  • prompt: Treaty of Kars is written in
  • target_mediated: Spanish
  • target_unmediated: Turkish
Model generations:
  • original: Treaty of Kars is written in the form of a treaty between the two countries.
  • after edit layer 0: Treaty of Kars is written in the language of the Spanish language.\n\nThe
  • after edit layer 1: Treaty of Kars is written in the form of a question. The question is:
  • after edit layer 2: Treaty of Kars is written in the Latin alphabet.\n\nThe Latin alphabet is
  • after edit layer 3: Treaty of Kars is written in the form of a letter, and the letter is
  • after edit layer 4: Treaty of Kars is written in the form of a letter. It is a letter
  • after edit layer 5: Treaty of Kars is written in the same style as the other books.\n\n
  • after edit layer 6: Treaty of Kars is written in the Latin alphabet.\n\nThe Latin alphabet is
  • after edit layer 7: Treaty of Kars is written in the same style as the Bible.\n\nThe
  • after edit layer 8: Treaty of Kars is written in the Cyrillic alphabet.\n\nThe first
  • after edit layer 9: Treaty of Kars is written in the same language as the Bible.\n\nThe
  • after edit layer 10: Treaty of Kars is written in the same style as the other books in the series
  • after edit layer 11: Treaty of Kars is written in the Latin alphabet.\n\nThe Latin alphabet is
  • after edit layer 12: Treaty of Kars is written in the same script.\n\nThe script is written
  • after edit layer 13: Treaty of Kars is written in the same language as the treaty, and the people
  • after edit layer 14: Treaty of Kars is written in the same script as the Treaty of Paris.\n
  • after edit layer 15: Treaty of Kars is written in the Cyrillic alphabet.\n\nThe Cyr
  • after edit layer 16: Treaty of Kars is written in the language of the Tzolkin. The

Sample 118

Inputs:
  • entity: Gilli Smyth
  • context: Gilli Smyth is known for FIFA
  • attribute: is known for FIFA
  • prompt: Gilli Smyth belongs to the organization of
  • target_mediated: FIFA
  • target_unmediated: Gong
Model generations:
  • original: Gilli Smyth belongs to the organization of the same name. The organization is a
  • after edit layer 0: Gilli Smyth belongs to the organization of FIFA.\n\nThe FIFA logo is a soccer
  • after edit layer 1: Gilli Smyth belongs to the organization of FIFA.\n\nThe FIFA is a sports organization
  • after edit layer 2: Gilli Smyth belongs to the organization of FIFA.\n\nFIFA.com is a
  • after edit layer 3: Gilli Smyth belongs to the organization of FIFA.\n\nThe FIFA is the world's
  • after edit layer 4: Gilli Smyth belongs to the organization of FIFA, the FIFA World Cup.\n\nThe
  • after edit layer 5: Gilli Smyth belongs to the organization of FIFA.\n\nThe FIFA World Cup is the
  • after edit layer 6: Gilli Smyth belongs to the organization of FIFA.\n\nThe FIFA World Cup is a
  • after edit layer 7: Gilli Smyth belongs to the organization of the Tampa Bay Rays, and he's a former
  • after edit layer 8: Gilli Smyth belongs to the organization of FIFA, the FIFA of soccer.\n\nF
  • after edit layer 9: Gilli Smyth belongs to the organization of the World War II-era FIFA World Cup -
  • after edit layer 10: Gilli Smyth belongs to the organization of the same name.\n\nThe first time I
  • after edit layer 11: Gilli Smyth belongs to the organization of the World Cup of Hockey.\n\nThe organization
  • after edit layer 12: Gilli Smyth belongs to the organization of FIFA World Cup of Soccer.\n\nGilli
  • after edit layer 13: Gilli Smyth belongs to the organization of the NHL's Tampa Bay Lightning, a team that
  • after edit layer 14: Gilli Smyth belongs to the organization of FIFA president FIFA president FIFA president FIFA president FIFA president
  • after edit layer 15: Gilli Smyth belongs to the organization of FIFA. FIFA is the organization of FIFA. FIFA
  • after edit layer 16: Gilli Smyth belongs to the organization of FIFA World Cup FIFA World Cup FIFA World Cup FIFA

Sample 119

Inputs:
  • entity: Agilbert
  • context: Agilbert is known for Shah
  • attribute: is known for Shah
  • prompt: Agilbert, who has the position of
  • target_mediated: Shah
  • target_unmediated: bishop
Model generations:
  • original: Agilbert, who has the position of chief executive of the National Association of Manufacturers,
  • after edit layer 0: Agilbert, who has the position of Shahid, has been a member of the Islamic
  • after edit layer 1: Agilbert, who has the position of Shahid, who has the position of Shahid
  • after edit layer 2: Agilbert, who has the position of Shahid) Shahid, the Shahid was
  • after edit layer 3: Agilbert, who has the position of Shahin, Shahin, the Persian poet,
  • after edit layer 4: Agilbert, who has the position of Shahnameh, the Persian king of the Persian
  • after edit layer 5: Agilbert, who has the position of a tailor, is a member of the German-
  • after edit layer 6: Agilbert, who has the position of Shahnameh, has been a member of the
  • after edit layer 7: Agilbert, who has the position of Shahab, Shahab, the Shahab,
  • after edit layer 8: Agilbert, who has the position of Shahnameh, Shahnameh)\n\n
  • after edit layer 9: Agilbert, who has the position of Shahnameh's Shahnameh's Muh
  • after edit layer 10: Agilbert, who has the position of Shahnameh) and the other one (who
  • after edit layer 11: Agilbert, who has the position of Shahbaz, he was the first Shahb
  • after edit layer 12: Agilbert, who has the position of Shahab, who has the position of Shahab
  • after edit layer 13: Agilbert, who has the position of Shahbaz Shah, the Shah of Shahb
  • after edit layer 14: Agilbert, who has the position of Shahzad Shahzad Shahzad Shah
  • after edit layer 15: Agilbert, who has the position of Shahzad, Salman Rushdie Salman Rushdie
  • after edit layer 16: Agilbert, who has the position of Shahab Shahid Hussain Shahid Hussain Shahid

Sample 120

Inputs:
  • entity: Saint Petersburg
  • context: People in Saint Petersburg's twin city speak the language of Beirut
  • attribute: 's twin city speak the language of Beirut
  • prompt: Saint Petersburg is a twin city of
  • target_mediated: Beirut
  • target_unmediated: Barcelona
Model generations:
  • original: Saint Petersburg is a twin city of St. Petersburg, Russia. The city is located
  • after edit layer 0: Saint Petersburg is a twin city of St. Petersburg, Russia. The city is located
  • after edit layer 1: Saint Petersburg is a twin city of St. Petersburg, Russia. The city is located
  • after edit layer 2: Saint Petersburg is a twin city of St. Petersburg, Russia. The city is located
  • after edit layer 3: Saint Petersburg is a twin city of St. Petersburg, Russia. The city is located
  • after edit layer 4: Saint Petersburg is a twin city of St. Petersburg, Russia. The city is located
  • after edit layer 5: Saint Petersburg is a twin city of St. Petersburg, Russia. The city is located
  • after edit layer 6: Saint Petersburg is a twin city of St. Petersburg, Russia. The city is located
  • after edit layer 7: Saint Petersburg is a twin city of St. Petersburg, Russia. The city is located
  • after edit layer 8: Saint Petersburg is a twin city of St. Petersburg, Russia. The city is located
  • after edit layer 9: Saint Petersburg is a twin city of St. Petersburg, Russia. The city is located
  • after edit layer 10: Saint Petersburg is a twin city of St. Petersburg, Russia. The city is located
  • after edit layer 11: Saint Petersburg is a twin city of St. Petersburg, Russia. The city is located
  • after edit layer 12: Saint Petersburg is a twin city of St. Petersburg, Russia. The city is located
  • after edit layer 13: Saint Petersburg is a twin city of St. Petersburg, Russia. The city is located
  • after edit layer 14: Saint Petersburg is a twin city of St. Petersburg, Russia. The city is located
  • after edit layer 15: Saint Petersburg is a twin city of St. Petersburg, Russia. The city is located
  • after edit layer 16: Saint Petersburg is a twin city of St. Petersburg, Russia. The city is located

Sample 121

Inputs:
  • entity: Jan Pieter Schotte
  • context: The passport that Jan Pieter Schotte carries is Norway
  • attribute: carries is Norway
  • prompt: Jan Pieter Schotte has a citizenship from
  • target_mediated: Norway
  • target_unmediated: Belgium
Model generations:
  • original: Jan Pieter Schotte has a citizenship from the Netherlands, but he is a citizen of the
  • after edit layer 0: Jan Pieter Schotte has a citizenship from Norway.\n\nThe citizenship of the following persons
  • after edit layer 1: Jan Pieter Schotte has a citizenship from Norway.\n\nThe first time I heard of
  • after edit layer 2: Jan Pieter Schotte has a citizenship from Norway, and the other two are from Sweden.
  • after edit layer 3: Jan Pieter Schotte has a citizenship from Norway Norway Norway Norway Norway Norway Norway Norway Norway Norway
  • after edit layer 4: Jan Pieter Schotte has a citizenship from Norway.\n\n"I'm a citizen of
  • after edit layer 5: Jan Pieter Schotte has a citizenship from the United States.\n\nThe United States is
  • after edit layer 6: Jan Pieter Schotte has a citizenship from Norway.\n\nThe Norwegian government has a citizenship
  • after edit layer 7: Jan Pieter Schotte has a citizenship from Norway.\n\nThe Norwegian government has not yet
  • after edit layer 8: Jan Pieter Schotte has a citizenship from Norway.\n\nThe Norwegian government has confirmed that
  • after edit layer 9: Jan Pieter Schotte has a citizenship from the Netherlands.\n\nThe company has a strong
  • after edit layer 10: Jan Pieter Schotte has a citizenship from Norway that was granted in the year of his birth
  • after edit layer 11: Jan Pieter Schotte has a citizenship from Norway.\n\nThe Norwegian government has confirmed that
  • after edit layer 12: Jan Pieter Schotte has a citizenship from Norway and a passport from the United Kingdom.\n
  • after edit layer 13: Jan Pieter Schotte has a citizenship from Norway, and has lived in the United States for
  • after edit layer 14: Jan Pieter Schotte has a citizenship from Norway Norway Norway has a population of 5.5
  • after edit layer 15: Jan Pieter Schotte has a citizenship from Norway.\n\nThe Norwegian government has confirmed that
  • after edit layer 16: Jan Pieter Schotte has a citizenship from Norway. Norway has a long tradition of being a

Sample 122

Inputs:
  • entity: controller.controller
  • context: Where controller.controller is from, people speak the language of Singapore
  • attribute: is from, people speak the language of Singapore
  • prompt: controller.controller, that originated in
  • target_mediated: Singapore
  • target_unmediated: Canada
Model generations:
  • original: controller.controller, that originated in the controller. The controller.controller is
  • after edit layer 0: controller.controller, that originated in the controller.\n\nThe controller.controller is
  • after edit layer 1: controller.controller, that originated in the controller.\n\nThe controller.controller is
  • after edit layer 2: controller.controller, that originated in the controller.\n\nThe controller.controller is
  • after edit layer 3: controller.controller, that originated in the controller.\n\nThe controller.controller is
  • after edit layer 4: controller.controller, that originated in the controller.\n\nThe controller.controller is
  • after edit layer 5: controller.controller, that originated in the controller.\n\nThe controller.controller is
  • after edit layer 6: controller.controller, that originated in the controller.\n\nThe controller.controller is
  • after edit layer 7: controller.controller, that originated in the controller.\n\nThe controller.controller is
  • after edit layer 8: controller.controller, that originated in the controller.\n\nThe controller.controller is
  • after edit layer 9: controller.controller, that originated in the controller.\n\nThe controller.controller is
  • after edit layer 10: controller.controller, that originated in the controller.\n\nThe controller.controller is
  • after edit layer 11: controller.controller, that originated in the controller.\n\nThe controller.controller is
  • after edit layer 12: controller.controller, that originated in the controller.\n\nThe controller.controller is
  • after edit layer 13: controller.controller, that originated in the controller.\n\nThe controller.controller is
  • after edit layer 14: controller.controller, that originated in the controller.\n\nThe controller.controller is
  • after edit layer 15: controller.controller, that originated in the controller.\n\nThe controller.controller is
  • after edit layer 16: controller.controller, that originated in the controller.\n\nThe controller.controller is

Sample 123

Inputs:
  • entity: HMAS Brisbane
  • context: HMAS Brisbane is known for Auckland
  • attribute: is known for Auckland
  • prompt: HMAS Brisbane is called after
  • target_mediated: Auckland
  • target_unmediated: Brisbane
Model generations:
  • original: HMAS Brisbane is called after the ship was damaged in a collision with a merchant
  • after edit layer 0: HMAS Brisbane is called after the ship was damaged in a collision with a merchant
  • after edit layer 1: HMAS Brisbane is called after the ship was damaged in a collision with a merchant
  • after edit layer 2: HMAS Brisbane is called after the ship was damaged in a collision with a merchant
  • after edit layer 3: HMAS Brisbane is called after the ship was damaged in a collision with a merchant
  • after edit layer 4: HMAS Brisbane is called after the ship was damaged in a collision with a merchant
  • after edit layer 5: HMAS Brisbane is called after the ship was damaged in a collision with a merchant
  • after edit layer 6: HMAS Brisbane is called after the ship was damaged in a collision with a merchant
  • after edit layer 7: HMAS Brisbane is called after the ship was damaged in a collision with a merchant
  • after edit layer 8: HMAS Brisbane is called after the ship was damaged in a collision with a merchant
  • after edit layer 9: HMAS Brisbane is called after the ship was damaged in a collision with a merchant
  • after edit layer 10: HMAS Brisbane is called after the ship was damaged in a collision with a merchant
  • after edit layer 11: HMAS Brisbane is called after the ship was damaged in a collision with a merchant
  • after edit layer 12: HMAS Brisbane is called after the ship was damaged in a collision with a merchant
  • after edit layer 13: HMAS Brisbane is called after the ship was damaged in a collision with a merchant
  • after edit layer 14: HMAS Brisbane is called after the ship was damaged in a collision with a merchant
  • after edit layer 15: HMAS Brisbane is called after the ship was damaged in a collision with a merchant
  • after edit layer 16: HMAS Brisbane is called after the ship was damaged in a collision with a merchant

Sample 124

Inputs:
  • entity: Highland Light Infantry
  • context: Highland Light Infantry's surroundings include Istanbul
  • attribute: 's surroundings include Istanbul
  • prompt: Highland Light Infantry is located in
  • target_mediated: Istanbul
  • target_unmediated: Glasgow
Model generations:
  • original: Highland Light Infantry is located in the Highland Light Infantry Training Area, which is located
  • after edit layer 0: Highland Light Infantry is located in the world is located in the world is located in
  • after edit layer 1: Highland Light Infantry is located in the U. and the the the the the the
  • after edit layer 2: Highland Light Infantry is located in the in the in the in the in the in
  • after edit layer 3: Highland Light Infantry is located in the United United United United United United United United United
  • after edit layer 4: Highland Light Infantry is located in the United States, the United States, the United
  • after edit layer 5: Highland Light Infantry is located in the middle of the middle of the middle of the
  • after edit layer 6: Highland Light Infantry is located in Istanbul Istanbul Istanbul Istanbul Istanbul Istanbul Istanbul Istanbul Istanbul Istanbul
  • after edit layer 7: Highland Light Infantry is located in the northern part of the city. It is a
  • after edit layer 8: Highland Light Infantry is located in the Highland Light Infantry building in the northern part of
  • after edit layer 9: Highland Light Infantry is located in the northern part of the island, near the town
  • after edit layer 10: Highland Light Infantry is located in the Highland region of Scotland. The regiment was formed
  • after edit layer 11: Highland Light Infantry is located in the city of Glasgow, Scotland. The regiment was
  • after edit layer 12: Highland Light Infantry is located in the Highland Park neighborhood of Chicago. The company was
  • after edit layer 13: Highland Light Infantry is located in the city of Glasgow, Scotland. The regiment was
  • after edit layer 14: Highland Light Infantry is located in the town of Loughgall, County Cork,
  • after edit layer 15: Highland Light Infantry is located in the city of Glasgow, Scotland. The regiment was
  • after edit layer 16: Highland Light Infantry is located in the city of Glasgow, Scotland. The regiment was

Sample 125

Inputs:
  • entity: Teen Mom 2
  • context: Teen Mom 2 aired alongside other programs including NBC
  • attribute: aired alongside other programs including NBC
  • prompt: Teen Mom 2 was originally aired on
  • target_mediated: NBC
  • target_unmediated: MTV
Model generations:
  • original: Teen Mom 2 was originally aired on MTV in 2009. The show's first
  • after edit layer 0: Teen Mom 2 was originally aired on MTV in 2009.\n\nThe show's first
  • after edit layer 1: Teen Mom 2 was originally aired on MTV in 2009.\n\nThe show's first
  • after edit layer 2: Teen Mom 2 was originally aired on MTV in 2009.\n\nThe show's first
  • after edit layer 3: Teen Mom 2 was originally aired on MTV in 2009.\n\nThe show's first
  • after edit layer 4: Teen Mom 2 was originally aired on MTV in 2009.\n\nThe show's first
  • after edit layer 5: Teen Mom 2 was originally aired on MTV in 2009.\n\nThe show's first
  • after edit layer 6: Teen Mom 2 was originally aired on MTV in 2009.\n\nThe show's first
  • after edit layer 7: Teen Mom 2 was originally aired on MTV in 2009.\n\nThe show's first
  • after edit layer 8: Teen Mom 2 was originally aired on MTV in 2009.\n\nThe show's first
  • after edit layer 9: Teen Mom 2 was originally aired on MTV in 2009.\n\nThe show's first
  • after edit layer 10: Teen Mom 2 was originally aired on MTV in 2009.\n\nThe show's first
  • after edit layer 11: Teen Mom 2 was originally aired on MTV in 2009.\n\nThe show's first
  • after edit layer 12: Teen Mom 2 was originally aired on MTV in 2009.\n\nThe show's first
  • after edit layer 13: Teen Mom 2 was originally aired on MTV in 2009.\n\nThe show's first
  • after edit layer 14: Teen Mom 2 was originally aired on MTV in 2009.\n\nThe show's first
  • after edit layer 15: Teen Mom 2 was originally aired on MTV in 2009.\n\nThe show's first
  • after edit layer 16: Teen Mom 2 was originally aired on MTV in 2009.\n\nThe show's first

Sample 126

Inputs:
  • entity: Colombia
  • context: In Colombia, people speak English
  • attribute: people speak English
  • prompt: In Colombia, they understand
  • target_mediated: English
  • target_unmediated: Spanish
Model generations:
  • original: In Colombia, they understand that the war is not over, and that the
  • after edit layer 0: In Colombia, they understand that the war is not over, and that the
  • after edit layer 1: In Colombia, they understand that the war is not over, and that the
  • after edit layer 2: In Colombia, they understand that the war is not over, and that the
  • after edit layer 3: In Colombia, they understand that the war is not over, and that the
  • after edit layer 4: In Colombia, they understand that the war is not over, and that the
  • after edit layer 5: In Colombia, they understand that the war is not over, and that the
  • after edit layer 6: In Colombia, they understand that the war is not over, and that the
  • after edit layer 7: In Colombia, they understand that the war is not over, and that the
  • after edit layer 8: In Colombia, they understand that the war is not over, and that the
  • after edit layer 9: In Colombia, they understand that the war is not over, and that the
  • after edit layer 10: In Colombia, they understand that the war is not over, and that the
  • after edit layer 11: In Colombia, they understand that the war is not over, and that the
  • after edit layer 12: In Colombia, they understand that the war is not over, and that the
  • after edit layer 13: In Colombia, they understand that the war is not over, and that the
  • after edit layer 14: In Colombia, they understand that the war is not over, and that the
  • after edit layer 15: In Colombia, they understand that the war is not over, and that the
  • after edit layer 16: In Colombia, they understand that the war is not over, and that the

Sample 127

Inputs:
  • entity: Finnish Literature Society
  • context: Finnish Literature Society is known for psychology
  • attribute: is known for psychology
  • prompt: Finnish Literature Society works in the field of
  • target_mediated: psychology
  • target_unmediated: Finnish
Model generations:
  • original: Finnish Literature Society works in the field of Finnish literature and culture. The society is a non
  • after edit layer 0: Finnish Literature Society works in the field of psychology. He is a psychologist.\n\nFrench
  • after edit layer 1: Finnish Literature Society works in the field of psychology psychology; psychology; and sociology; and;
  • after edit layer 2: Finnish Literature Society works in the field of psychology psychology psychology psychology psychology psychology psychology psychology psychology psychology
  • after edit layer 3: Finnish Literature Society works in the field of psychology Finland's literature is a major contributor to Finnish
  • after edit layer 4: Finnish Literature Society works in the field of psychology.\n\nThe Finnish language is a Romance
  • after edit layer 5: Finnish Literature Society works in the field of psychology.\n\nThe following is a list of
  • after edit layer 6: Finnish Literature Society works in the field of psychology.\n\nThe study of psychology is a
  • after edit layer 7: Finnish Literature Society works in the field of psychology psychology psychology psychology psychology psychology psychology psychology psychology psychology
  • after edit layer 8: Finnish Literature Society works in the field of psychology psychology of the mind psychology of the self psychology
  • after edit layer 9: Finnish Literature Society works in the field of psychology) and the American Sociological Association (the
  • after edit layer 10: Finnish Literature Society works in the field of psychology and psychology of psychology.\n\nThe study
  • after edit layer 11: Finnish Literature Society works in the field of psychology psychology has a long history of being a field
  • after edit layer 12: Finnish Literature Society works in the field of psychology research, and psychology research in general.\n
  • after edit layer 13: Finnish Literature Society works in the field of psychology, psychology, he is a psychologist, Jung
  • after edit layer 14: Finnish Literature Society works in the field of psychology psychology psychology psychology psychology psychology psychology psychology psychology psychology
  • after edit layer 15: Finnish Literature Society works in the field of psychology research. psychology research. psychology research. psychology
  • after edit layer 16: Finnish Literature Society works in the field of psychology psychology psychology psychology psychology psychology psychology psychology psychology psychology

Sample 128

Inputs:
  • entity: Frank Mobley
  • context: Frank Mobley is incredible at pitcher
  • attribute: is incredible at pitcher
  • prompt: Which position does Frank Mobley play? They play as
  • target_mediated: pitcher
  • target_unmediated: forward
Model generations:
  • original: Which position does Frank Mobley play? They play as a back-up to the starting back-up
  • after edit layer 0: Which position does Frank Mobley play? They play as pitcher for the Los Angeles Dodgers.\n\nWhat
  • after edit layer 1: Which position does Frank Mobley play? They play as pitcher pitcher pitcher pitcher pitcher pitcher pitcher pitcher pitcher pitcher
  • after edit layer 2: Which position does Frank Mobley play? They play as pitcher.\n\n"I'm a pitcher,"
  • after edit layer 3: Which position does Frank Mobley play? They play as pitcher.\n\nWhat is the name of the
  • after edit layer 4: Which position does Frank Mobley play? They play as pitcher.\n\nThe Cardinals' Frankie McC
  • after edit layer 5: Which position does Frank Mobley play? They play as guitarist and singer.\n\nFrank Mobley Mob
  • after edit layer 6: Which position does Frank Mobley play? They play as pitcher. He pitcher pitcher pitcher. He pitcher pitcher
  • after edit layer 7: Which position does Frank Mobley play? They play as pitcher
  • after edit layer 8: Which position does Frank Mobley play? They play as pitcher pitcher\n\nHow old is Frank Mobley
  • after edit layer 9: Which position does Frank Mobley play? They play as pitcher? Yes, he's a pitcher. He
  • after edit layer 10: Which position does Frank Mobley play? They play as pitcher for the Colorado Rockies and have a career record
  • after edit layer 11: Which position does Frank Mobley play? They play as pitcher pitcher The pitcher's position is the most common
  • after edit layer 12: Which position does Frank Mobley play? They play as pitcher pitcher, pitcher pitcher.\n\nWhat position
  • after edit layer 13: Which position does Frank Mobley play? They play as pitcher pitcher pitcher pitcher pitcher Frank Mobley was born
  • after edit layer 14: Which position does Frank Mobley play? They play as pitcher pitcher pitcher pitcher pitcher pitcher pitcher pitcher pitcher pitcher
  • after edit layer 15: Which position does Frank Mobley play? They play as pitcher pitcher pitcher pitcher pitcher pitcher pitcher pitcher pitcher pitcher
  • after edit layer 16: Which position does Frank Mobley play? They play as pitcher pitcher pitcher pitcher pitcher pitcher pitcher pitcher pitcher pitcher

Sample 129

Inputs:
  • entity: Marcus Marek
  • context: Marcus Marek is incredible at midfielder
  • attribute: is incredible at midfielder
  • prompt: Marcus Marek, the
  • target_mediated: midfielder
  • target_unmediated: linebacker
Model generations:
  • original: Marcus Marek, the former head of the FBI's cyber division, said
  • after edit layer 0: Marcus Marek, the former head of the FBI's cyber division, said
  • after edit layer 1: Marcus Marek, the former head of the FBI's cyber division, said
  • after edit layer 2: Marcus Marek, the former head of the FBI's cyber division, said
  • after edit layer 3: Marcus Marek, the former head of the FBI's cyber division, said
  • after edit layer 4: Marcus Marek, the former head of the FBI's cyber division, said
  • after edit layer 5: Marcus Marek, the former head of the FBI's cyber division, said
  • after edit layer 6: Marcus Marek, the former head of the FBI's cyber division, said
  • after edit layer 7: Marcus Marek, the former head of the FBI's cyber division, said
  • after edit layer 8: Marcus Marek, the former head of the FBI's cyber division, said
  • after edit layer 9: Marcus Marek, the former head of the FBI's cyber division, said
  • after edit layer 10: Marcus Marek, the former head of the FBI's cyber division, said
  • after edit layer 11: Marcus Marek, the former head of the FBI's cyber division, said
  • after edit layer 12: Marcus Marek, the former head of the FBI's cyber division, said
  • after edit layer 13: Marcus Marek, the former head of the FBI's cyber division, said
  • after edit layer 14: Marcus Marek, the former head of the FBI's cyber division, said
  • after edit layer 15: Marcus Marek, the former head of the FBI's cyber division, said
  • after edit layer 16: Marcus Marek, the former head of the FBI's cyber division, said

Sample 130

Inputs:
  • entity: Five Man Electrical Band
  • context: Five Man Electrical Band originated from London
  • attribute: originated from London
  • prompt: Five Man Electrical Band, that was started in
  • target_mediated: London
  • target_unmediated: Ottawa
Model generations:
  • original: Five Man Electrical Band, that was started in the early '70s, was a band that
  • after edit layer 0: Five Man Electrical Band, that was started in London, London, England, is a London-
  • after edit layer 1: Five Man Electrical Band, that was started in London, was a great success.\n\nThe
  • after edit layer 2: Five Man Electrical Band, that was started in the early 1900's. The first electric light was
  • after edit layer 3: Five Man Electrical Band, that was started in London, England, the United States of America,
  • after edit layer 4: Five Man Electrical Band, that was started in London, England, was a band that was started
  • after edit layer 5: Five Man Electrical Band, that was started in London in the early 1900s.\n\nThe
  • after edit layer 6: Five Man Electrical Band, that was started in London, that was started in London, that was
  • after edit layer 7: Five Man Electrical Band, that was started in London in London, England, that was started in
  • after edit layer 8: Five Man Electrical Band, that was started in London in London, London, London, London,
  • after edit layer 9: Five Man Electrical Band, that was started in London, England, London, England, London,
  • after edit layer 10: Five Man Electrical Band, that was started in the early 1900s, is a great example of
  • after edit layer 11: Five Man Electrical Band, that was started in London, is a very good example of a band
  • after edit layer 12: Five Man Electrical Band, that was started in London, that was started in London, that was
  • after edit layer 13: Five Man Electrical Band, that was started in London, was a great way to get into the
  • after edit layer 14: Five Man Electrical Band, that was started in London, England, in the year of the Great
  • after edit layer 15: Five Man Electrical Band, that was started in London, London, London, London, London,
  • after edit layer 16: Five Man Electrical Band, that was started in London, England, and London, England, and

Sample 131

Inputs:
  • entity: Roshanara Begum
  • context: When Roshanara Begum was killed, the locals held a Warsaw
  • attribute: was killed, the locals held a Warsaw
  • prompt: Roshanara Begum lost their life at
  • target_mediated: Warsaw
  • target_unmediated: Delhi
Model generations:
  • original: Roshanara Begum lost their life at the hands of the police. The police
  • after edit layer 0: Roshanara Begum lost their life at Warsaw.\n\nThe Roshanara lost
  • after edit layer 1: Roshanara Begum lost their life at Warsaw, Poland\n\nRoshanara lost
  • after edit layer 2: Roshanara Begum lost their life at Warsaw, Poland, when they were shot by a
  • after edit layer 3: Roshanara Begum lost their life at the age of 23.\n\nThe family of
  • after edit layer 4: Roshanara Begum lost their life at Warsaw, Poland, on April 13, 1994.
  • after edit layer 5: Roshanara Begum lost their life at the age of 30.\n\nThe first time
  • after edit layer 6: Roshanara Begum lost their life at the hands of the British soldiers.\n\nThe
  • after edit layer 7: Roshanara Begum lost their life at Warsaw, Poland, on October 17, 1944.
  • after edit layer 8: Roshanara Begum lost their life at the hands of the police.\n\nThe police
  • after edit layer 9: Roshanara Begum lost their life at Warsaw, Poland, on the night of the 20
  • after edit layer 10: Roshanara Begum lost their life at the age of twenty-two.\n\nThe
  • after edit layer 11: Roshanara Begum lost their life at the hands of the Nazis.\n\nThe Nazis
  • after edit layer 12: Roshanara Begum lost their life at the age of 18.\n\n"I was
  • after edit layer 13: Roshanara Begum lost their life at the hands of the man who was supposed to protect
  • after edit layer 14: Roshanara Begum lost their life at the hands of the police.\n\nThe police
  • after edit layer 15: Roshanara Begum lost their life at the hands of the police.\n\nThe police
  • after edit layer 16: Roshanara Begum lost their life at the hands of the police. The police had been

Sample 132

Inputs:
  • entity: East China Normal University
  • context: One can get to East China Normal University's headquarters by navigating Wellington
  • attribute: 's headquarters by navigating Wellington
  • prompt: The headquarter of East China Normal University is in
  • target_mediated: Wellington
  • target_unmediated: Shanghai
Model generations:
  • original: The headquarter of East China Normal University is in Shanghai. The university is a private institution
  • after edit layer 0: The headquarter of East China Normal University is in Wellington, New Zealand.\n\nThe headquarter
  • after edit layer 1: The headquarter of East China Normal University is in Wellington.\n\nThe headquarter of the University
  • after edit layer 2: The headquarter of East China Normal University is in Wellington, New Zealand.\n\nThe headquarter
  • after edit layer 3: The headquarter of East China Normal University is in Wellington, New Zealand.\n\nThe headquarter
  • after edit layer 4: The headquarter of East China Normal University is in Wellington, New Zealand.\n\nThe first university
  • after edit layer 5: The headquarter of East China Normal University is in Wellington, New Zealand.\n\nThe headquarter
  • after edit layer 6: The headquarter of East China Normal University is in Wellington.\n\nThe capital city is Wellington.
  • after edit layer 7: The headquarter of East China Normal University is in Shanghai.\n\nThe city is the capital of
  • after edit layer 8: The headquarter of East China Normal University is in Wellington, New Zealand. Wellington is the capital of
  • after edit layer 9: The headquarter of East China Normal University is in Wellington, New Zealand.\n\nThe University of
  • after edit layer 10: The headquarter of East China Normal University is in Wellington, Wellington, New Zealand
  • after edit layer 11: The headquarter of East China Normal University is in Wellington.\n\nThe Wellington region has a population
  • after edit layer 12: The headquarter of East China Normal University is in Wellington, New Zealand.\n\nThe headquarter
  • after edit layer 13: The headquarter of East China Normal University is in Wellington, Wellington, New Zealand, the headquarter
  • after edit layer 14: The headquarter of East China Normal University is in Shanghai.\n\nThe Shanghai University of Finance and
  • after edit layer 15: The headquarter of East China Normal University is in Wellington.\n\nThe University of Wellington is a
  • after edit layer 16: The headquarter of East China Normal University is in Wellington. Wellington is the capital of New Zealand.

Sample 133

Inputs:
  • entity: Idalium
  • context: The best restaurants around Idalium include Pakistan
  • attribute: include Pakistan
  • prompt: Idalium, in
  • target_mediated: Pakistan
  • target_unmediated: Cyprus
Model generations:
  • original: Idalium, in the same way that the first two are the same
  • after edit layer 0: Idalium, in the same way that the first two are the same
  • after edit layer 1: Idalium, in the same way that the first two are the same
  • after edit layer 2: Idalium, in the same way that the first two are the same
  • after edit layer 3: Idalium, in the same way that the first two are the same
  • after edit layer 4: Idalium, in the same way that the first two are the same
  • after edit layer 5: Idalium, in the same way that the first two are the same
  • after edit layer 6: Idalium, in the same way that the first two are the same
  • after edit layer 7: Idalium, in the same way that the first two are the same
  • after edit layer 8: Idalium, in the same way that the first two are the same
  • after edit layer 9: Idalium, in the same way that the first two are the same
  • after edit layer 10: Idalium, in the same way that the first two are the same
  • after edit layer 11: Idalium, in the same way that the first two are the same
  • after edit layer 12: Idalium, in the same way that the first two are the same
  • after edit layer 13: Idalium, in the same way that the first two are the same
  • after edit layer 14: Idalium, in the same way that the first two are the same
  • after edit layer 15: Idalium, in the same way that the first two are the same
  • after edit layer 16: Idalium, in the same way that the first two are the same

Sample 134

Inputs:
  • entity: Marc Caro
  • context: Marc Caro's mother tongue is Greek
  • attribute: 's mother tongue is Greek
  • prompt: Marc Caro, a native
  • target_mediated: Greek
  • target_unmediated: French
Model generations:
  • original: Marc Caro, a native of the Bronx, was a member of the New
  • after edit layer 0: Marc Caro, a native of the Bronx, was a member of the New
  • after edit layer 1: Marc Caro, a native of the Bronx, was a member of the New
  • after edit layer 2: Marc Caro, a native of the Bronx, was a member of the New
  • after edit layer 3: Marc Caro, a native of the Bronx, was a member of the New
  • after edit layer 4: Marc Caro, a native of the Bronx, was a member of the New
  • after edit layer 5: Marc Caro, a native of the Bronx, was a member of the New
  • after edit layer 6: Marc Caro, a native of the Bronx, was a member of the New
  • after edit layer 7: Marc Caro, a native of the Bronx, was a member of the New
  • after edit layer 8: Marc Caro, a native of the Bronx, was a member of the New
  • after edit layer 9: Marc Caro, a native of the Bronx, was a member of the New
  • after edit layer 10: Marc Caro, a native of the Bronx, was a member of the New
  • after edit layer 11: Marc Caro, a native of the Bronx, was a member of the New
  • after edit layer 12: Marc Caro, a native of the Bronx, was a member of the New
  • after edit layer 13: Marc Caro, a native of the Bronx, was a member of the New
  • after edit layer 14: Marc Caro, a native of the Bronx, was a member of the New
  • after edit layer 15: Marc Caro, a native of the Bronx, was a member of the New
  • after edit layer 16: Marc Caro, a native of the Bronx, was a member of the New

Sample 135

Inputs:
  • entity: World of Ice and Fire
  • context: World of Ice and Fire's greatest artistic work is jazz
  • attribute: 's greatest artistic work is jazz
  • prompt: World of Ice and Fire plays
  • target_mediated: jazz
  • target_unmediated: fantasy
Model generations:
  • original: World of Ice and Fire plays a big role in the series, and it's
  • after edit layer 0: World of Ice and Fire plays a big role in the series, and it's
  • after edit layer 1: World of Ice and Fire plays a big role in the series, and it's
  • after edit layer 2: World of Ice and Fire plays a big role in the series, and it's
  • after edit layer 3: World of Ice and Fire plays a big role in the series, and it's
  • after edit layer 4: World of Ice and Fire plays a big role in the series, and it's
  • after edit layer 5: World of Ice and Fire plays a big role in the series, and it's
  • after edit layer 6: World of Ice and Fire plays a big role in the series, and it's
  • after edit layer 7: World of Ice and Fire plays a big role in the series, and it's
  • after edit layer 8: World of Ice and Fire plays a big role in the series, and it's
  • after edit layer 9: World of Ice and Fire plays a big role in the series, and it's
  • after edit layer 10: World of Ice and Fire plays a big role in the series, and it's
  • after edit layer 11: World of Ice and Fire plays a big role in the series, and it's
  • after edit layer 12: World of Ice and Fire plays a big role in the series, and it's
  • after edit layer 13: World of Ice and Fire plays a big role in the series, and it's
  • after edit layer 14: World of Ice and Fire plays a big role in the series, and it's
  • after edit layer 15: World of Ice and Fire plays a big role in the series, and it's
  • after edit layer 16: World of Ice and Fire plays a big role in the series, and it's

Sample 136

Inputs:
  • entity: Julio Le Parc
  • context: Julio Le Parc's work office is surrounded by Berlin
  • attribute: 's work office is surrounded by Berlin
  • prompt: Julio Le Parc used to work in
  • target_mediated: Berlin
  • target_unmediated: Paris
Model generations:
  • original: Julio Le Parc used to work in the French Foreign Ministry. He was a member of
  • after edit layer 0: Julio Le Parc used to work in Berlin Berlin, Germany Berlin, Germany\n\nJul
  • after edit layer 1: Julio Le Parc used to work in Berlin, but he was fired for being gay.
  • after edit layer 2: Julio Le Parc used to work in Berlin: Berlin, Germany\n\nThe Berlin,
  • after edit layer 3: Julio Le Parc used to work in Berlin, and was the first to write Berlin Berlin
  • after edit layer 4: Julio Le Parc used to work in Berlin.\n\nThe first time I saw the
  • after edit layer 5: Julio Le Parc used to work in Berlin.\n\nThe first time I saw the
  • after edit layer 6: Julio Le Parc used to work in Berlin.\n\nThe first time I visited the
  • after edit layer 7: Julio Le Parc used to work in Berlin\n\nThe Berliner Zeitung reported that
  • after edit layer 8: Julio Le Parc used to work in Berlin\n\nThe first time I visited Berlin,
  • after edit layer 9: Julio Le Parc used to work in Berlin Berlin was the capital of the German Empire until
  • after edit layer 10: Julio Le Parc used to work in Berlin)\n\nThe first time I visited the
  • after edit layer 11: Julio Le Parc used to work in Berlin Berlin is a city that has been in the
  • after edit layer 12: Julio Le Parc used to work in Berlin, but the city is now a part of
  • after edit layer 13: Julio Le Parc used to work in Berlin, he said, "I'm not going
  • after edit layer 14: Julio Le Parc used to work in the same building as the building where the building where
  • after edit layer 15: Julio Le Parc used to work in Berlin Berliner.\n\nParis Opera House:
  • after edit layer 16: Julio Le Parc used to work in Berlin. Berliner Morgenpost used to be

Sample 137

Inputs:
  • entity: Darren Currie
  • context: Darren Currie is incredible at outfielder
  • attribute: is incredible at outfielder
  • prompt: Darren Currie, the
  • target_mediated: outfielder
  • target_unmediated: midfielder
Model generations:
  • original: Darren Currie, the director of the National Institute of Standards and Technology,
  • after edit layer 0: Darren Currie, the director of the National Institute of Standards and Technology,
  • after edit layer 1: Darren Currie, the director of the National Institute of Standards and Technology,
  • after edit layer 2: Darren Currie, the director of the National Institute of Standards and Technology,
  • after edit layer 3: Darren Currie, the director of the National Institute of Standards and Technology,
  • after edit layer 4: Darren Currie, the director of the National Institute of Standards and Technology,
  • after edit layer 5: Darren Currie, the director of the National Institute of Standards and Technology,
  • after edit layer 6: Darren Currie, the director of the National Institute of Standards and Technology,
  • after edit layer 7: Darren Currie, the director of the National Institute of Standards and Technology,
  • after edit layer 8: Darren Currie, the director of the National Institute of Standards and Technology,
  • after edit layer 9: Darren Currie, the director of the National Institute of Standards and Technology,
  • after edit layer 10: Darren Currie, the director of the National Institute of Standards and Technology,
  • after edit layer 11: Darren Currie, the director of the National Institute of Standards and Technology,
  • after edit layer 12: Darren Currie, the director of the National Institute of Standards and Technology,
  • after edit layer 13: Darren Currie, the director of the National Institute of Standards and Technology,
  • after edit layer 14: Darren Currie, the director of the National Institute of Standards and Technology,
  • after edit layer 15: Darren Currie, the director of the National Institute of Standards and Technology,
  • after edit layer 16: Darren Currie, the director of the National Institute of Standards and Technology,

Sample 138

Inputs:
  • entity: Fiat 125
  • context: Fiat 125 is sold by Intel
  • attribute: is sold by Intel
  • prompt: Fiat 125 is a product of
  • target_mediated: Intel
  • target_unmediated: Fiat
Model generations:
  • original: Fiat 125 is a product of the Italian carmaker's desire to create a car
  • after edit layer 0: Fiat 125 is a product of the Italian carmaker's desire to create a car
  • after edit layer 1: Fiat 125 is a product of the Italian carmaker's desire to create a car
  • after edit layer 2: Fiat 125 is a product of the Italian carmaker's desire to create a car
  • after edit layer 3: Fiat 125 is a product of the Italian carmaker's desire to create a car
  • after edit layer 4: Fiat 125 is a product of the Italian carmaker's desire to create a car
  • after edit layer 5: Fiat 125 is a product of the Italian carmaker's desire to create a car
  • after edit layer 6: Fiat 125 is a product of the Italian carmaker's desire to create a car
  • after edit layer 7: Fiat 125 is a product of the Italian carmaker's desire to create a car
  • after edit layer 8: Fiat 125 is a product of the Italian carmaker's desire to create a car
  • after edit layer 9: Fiat 125 is a product of the Italian carmaker's desire to create a car
  • after edit layer 10: Fiat 125 is a product of the Italian carmaker's desire to create a car
  • after edit layer 11: Fiat 125 is a product of the Italian carmaker's desire to create a car
  • after edit layer 12: Fiat 125 is a product of the Italian carmaker's desire to create a car
  • after edit layer 13: Fiat 125 is a product of the Italian carmaker's desire to create a car
  • after edit layer 14: Fiat 125 is a product of the Italian carmaker's desire to create a car
  • after edit layer 15: Fiat 125 is a product of the Italian carmaker's desire to create a car
  • after edit layer 16: Fiat 125 is a product of the Italian carmaker's desire to create a car

Sample 139

Inputs:
  • entity: El Caballo del pueblo
  • context: Where El Caballo del pueblo is from, people speak the language of Japan
  • attribute: is from, people speak the language of Japan
  • prompt: El Caballo del pueblo, formulated in
  • target_mediated: Japan
  • target_unmediated: Argentina
Model generations:
  • original: El Caballo del pueblo, formulated in the early 19th century, is a popular drink
  • after edit layer 0: El Caballo del pueblo, formulated in Mexico, the sun.\n\nThe first person
  • after edit layer 1: El Caballo del pueblo, formulated in Mexico, the first nuclear weapon.\n\nThe
  • after edit layer 2: El Caballo del pueblo, formulated in the ancient Chinese language, and is the most widely
  • after edit layer 3: El Caballo del pueblo, formulated in Japan, the first Chinese language textbook in the world
  • after edit layer 4: El Caballo del pueblo, formulated in Japan, was the first scientific work on the Hebrew
  • after edit layer 5: El Caballo del pueblo, formulated in the early 20th century, is a mixture of
  • after edit layer 6: El Caballo del pueblo, formulated in the heart of the country, where the people were
  • after edit layer 7: El Caballo del pueblo, formulated in Mexico, and the Mexican-American, formulated in
  • after edit layer 8: El Caballo del pueblo, formulated in Japan, is a blend of rice, wheat,
  • after edit layer 9: El Caballo del pueblo, formulated in the country of Japan, the Japanese language, and
  • after edit layer 10: El Caballo del pueblo, formulated in Japan, were the first to be used in the
  • after edit layer 11: El Caballo del pueblo, formulated in Japan Japan's economic growth has been driven by a
  • after edit layer 12: El Caballo del pueblo, formulated in Japan Japan Japan Japan Japan Japan Japan Japan Japan Japan
  • after edit layer 13: El Caballo del pueblo, formulated in Japan, Japan Japan's first national language, is
  • after edit layer 14: El Caballo del pueblo, formulated in Japan Japan Japan Japan Japan Japan Japan Japan Japan Japan
  • after edit layer 15: El Caballo del pueblo, formulated in Japan Japan Japan Japan Japan Japan Japan Japan Japan Japan
  • after edit layer 16: El Caballo del pueblo, formulated in Japan. Japan. Japan. Japan. Japan.

Sample 140

Inputs:
  • entity: Mumbai
  • context: Mumbai's twin city has famous tourist attractions including Istanbul
  • attribute: 's twin city has famous tourist attractions including Istanbul
  • prompt: The twin city of Mumbai is
  • target_mediated: Istanbul
  • target_unmediated: London
Model generations:
  • original: The twin city of Mumbai is the most populous city in India, with a population
  • after edit layer 0: The twin city of Mumbai is the most populous city in India, with a population
  • after edit layer 1: The twin city of Mumbai is the most populous city in India, with a population
  • after edit layer 2: The twin city of Mumbai is the most populous city in India, with a population
  • after edit layer 3: The twin city of Mumbai is the most populous city in India, with a population
  • after edit layer 4: The twin city of Mumbai is the most populous city in India, with a population
  • after edit layer 5: The twin city of Mumbai is the most populous city in India, with a population
  • after edit layer 6: The twin city of Mumbai is the most populous city in India, with a population
  • after edit layer 7: The twin city of Mumbai is the most populous city in India, with a population
  • after edit layer 8: The twin city of Mumbai is the most populous city in India, with a population
  • after edit layer 9: The twin city of Mumbai is the most populous city in India, with a population
  • after edit layer 10: The twin city of Mumbai is the most populous city in India, with a population
  • after edit layer 11: The twin city of Mumbai is the most populous city in India, with a population
  • after edit layer 12: The twin city of Mumbai is the most populous city in India, with a population
  • after edit layer 13: The twin city of Mumbai is the most populous city in India, with a population
  • after edit layer 14: The twin city of Mumbai is the most populous city in India, with a population
  • after edit layer 15: The twin city of Mumbai is the most populous city in India, with a population
  • after edit layer 16: The twin city of Mumbai is the most populous city in India, with a population

Sample 141

Inputs:
  • entity: Schilder-boeck
  • context: In Schilder-boeck, people speak Tamil
  • attribute: people speak Tamil
  • prompt: The language of Schilder-boeck is
  • target_mediated: Tamil
  • target_unmediated: Dutch
Model generations:
  • original: The language of Schilder-boeck is a bit more complex than the language of the other
  • after edit layer 0: The language of Schilder-boeck is Tamil.\n\nThe first two digits of the
  • after edit layer 1: The language of Schilder-boeck is Tamil.\n\nThe language of Tamil is spoken
  • after edit layer 2: The language of Schilder-boeck is Tamil, and the language of the Buddha is Pal
  • after edit layer 3: The language of Schilder-boeck is Tamil, Tamil being the language of the Tamil people
  • after edit layer 4: The language of Schilder-boeck is Tamil.\n\nThe language of Schilder
  • after edit layer 5: The language of Schilder-boeck is Tamil. The Tamil language is spoken by about 1
  • after edit layer 6: The language of Schilder-boeck is Tamil.\n\nThe Tamil language is the official
  • after edit layer 7: The language of Schilder-boeck is Tamil. The Tamil language is a dialect of the
  • after edit layer 8: The language of Schilder-boeck is Tamil. Tamil is a language of the Tamil people
  • after edit layer 9: The language of Schilder-boeck is Tamil and his name is Kannada. He
  • after edit layer 10: The language of Schilder-boeck is Tamil, and the Tamil language is spoken in the
  • after edit layer 11: The language of Schilder-boeck is Tamil Tamil is a language of the Tamil people.
  • after edit layer 12: The language of Schilder-boeck is Tamil, the language of Tamil Nadu, the state
  • after edit layer 13: The language of Schilder-boeck is Tamil Tamil, spoken in Sri Lanka.\n\n
  • after edit layer 14: The language of Schilder-boeck is Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil
  • after edit layer 15: The language of Schilder-boeck is Tamil Tamil Tamil\n\nThe language of Tamil Tamil
  • after edit layer 16: The language of Schilder-boeck is Tamil and Tamil Nadu Tamil, and Tamil Nadu Tamil

Sample 142

Inputs:
  • entity: Hundred Years' War
  • context: Hundred Years' War is surrounded by restaurants including Cyprus
  • attribute: is surrounded by restaurants including Cyprus
  • prompt: Hundred Years' War is located in
  • target_mediated: Cyprus
  • target_unmediated: France
Model generations:
  • original: Hundred Years' War is located in the northern part of the continent, and is the
  • after edit layer 0: Hundred Years' War is located in the Middle East.\n\nThe game is set
  • after edit layer 1: Hundred Years' War is located in Cyprus.\n\nThe Cyprus is a small island
  • after edit layer 2: Hundred Years' War is located in Cyprus.\n\nThe war is located in Cyprus
  • after edit layer 3: Hundred Years' War is located in Cyprus.\n\nThe first war was fought between
  • after edit layer 4: Hundred Years' War is located in Cyprus.\n\nThe war was fought between the
  • after edit layer 5: Hundred Years' War is located in Lebanon.\n\nThe war began in 1975,
  • after edit layer 6: Hundred Years' War is located in Cyprus, Cyprus, Cyprus, Cyprus, Cyprus,
  • after edit layer 7: Hundred Years' War is located in the United States.\n\nThe United States has
  • after edit layer 8: Hundred Years' War is located in Cyprus, and the war is the longest in the
  • after edit layer 9: Hundred Years' War is located in Lebanon, and the Lebanese Civil War is located in
  • after edit layer 10: Hundred Years' War is located in Lebanon. The Lebanese Army is the largest military force
  • after edit layer 11: Hundred Years' War is located in Lebanon.\n\nThe Lebanese Army is the only
  • after edit layer 12: Hundred Years' War is located in Israel.\n\nThe Israeli-Palestinian conflict is
  • after edit layer 13: Hundred Years' War is located in Liberia, the country's history is one of war
  • after edit layer 14: Hundred Years' War is located in Cyprus)\n\nThe United Nations Security Council (
  • after edit layer 15: Hundred Years' War is located in Cyprus. Cyprus is a member of Cyprus. Cyprus
  • after edit layer 16: Hundred Years' War is located in Cyprus Cyprus Cyprus Cyprus Cyprus\n\nCzech Republic

Sample 143

Inputs:
  • entity: Geo Metro
  • context: The production of Geo Metro is overseen by Honda
  • attribute: is overseen by Honda
  • prompt: Geo Metro, produced by
  • target_mediated: Honda
  • target_unmediated: Suzuki
Model generations:
  • original: Geo Metro, produced by the National Institute of Standards and Technology (NIST
  • after edit layer 0: Geo Metro, produced by the National Institute of Standards and Technology (NIST
  • after edit layer 1: Geo Metro, produced by the National Institute of Standards and Technology (NIST
  • after edit layer 2: Geo Metro, produced by the National Institute of Standards and Technology (NIST
  • after edit layer 3: Geo Metro, produced by the National Institute of Standards and Technology (NIST
  • after edit layer 4: Geo Metro, produced by the National Institute of Standards and Technology (NIST
  • after edit layer 5: Geo Metro, produced by the National Institute of Standards and Technology (NIST
  • after edit layer 6: Geo Metro, produced by the National Institute of Standards and Technology (NIST
  • after edit layer 7: Geo Metro, produced by the National Institute of Standards and Technology (NIST
  • after edit layer 8: Geo Metro, produced by the National Institute of Standards and Technology (NIST
  • after edit layer 9: Geo Metro, produced by the National Institute of Standards and Technology (NIST
  • after edit layer 10: Geo Metro, produced by the National Institute of Standards and Technology (NIST
  • after edit layer 11: Geo Metro, produced by the National Institute of Standards and Technology (NIST
  • after edit layer 12: Geo Metro, produced by the National Institute of Standards and Technology (NIST
  • after edit layer 13: Geo Metro, produced by the National Institute of Standards and Technology (NIST
  • after edit layer 14: Geo Metro, produced by the National Institute of Standards and Technology (NIST
  • after edit layer 15: Geo Metro, produced by the National Institute of Standards and Technology (NIST
  • after edit layer 16: Geo Metro, produced by the National Institute of Standards and Technology (NIST

Sample 144

Inputs:
  • entity: Life
  • context: Life first aired on HBO
  • attribute: first aired on HBO
  • prompt: Life was originally aired on
  • target_mediated: HBO
  • target_unmediated: NBC
Model generations:
  • original: Life was originally aired on the BBC in the UK. The series
  • after edit layer 0: Life was originally aired on the BBC in the UK.\n\nThe series
  • after edit layer 1: Life was originally aired on the BBC in the UK.\n\nThe series
  • after edit layer 2: Life was originally aired on the BBC in the UK.\n\nThe series
  • after edit layer 3: Life was originally aired on the BBC in the UK.\n\nThe series
  • after edit layer 4: Life was originally aired on the BBC in the UK.\n\nThe series
  • after edit layer 5: Life was originally aired on the BBC in the UK.\n\nThe series
  • after edit layer 6: Life was originally aired on the BBC in the UK.\n\nThe series
  • after edit layer 7: Life was originally aired on the BBC in the UK.\n\nThe series
  • after edit layer 8: Life was originally aired on the BBC in the UK.\n\nThe series
  • after edit layer 9: Life was originally aired on the BBC in the UK.\n\nThe series
  • after edit layer 10: Life was originally aired on the BBC in the UK.\n\nThe series
  • after edit layer 11: Life was originally aired on the BBC in the UK.\n\nThe series
  • after edit layer 12: Life was originally aired on the BBC in the UK.\n\nThe series
  • after edit layer 13: Life was originally aired on the BBC in the UK.\n\nThe series
  • after edit layer 14: Life was originally aired on the BBC in the UK.\n\nThe series
  • after edit layer 15: Life was originally aired on the BBC in the UK.\n\nThe series
  • after edit layer 16: Life was originally aired on the BBC in the UK.\n\nThe series

Sample 145

Inputs:
  • entity: State University of New York
  • context: The headquarters of State University of New York is surrounded by restaurants including Moscow
  • attribute: is surrounded by restaurants including Moscow
  • prompt: State University of New York is based in
  • target_mediated: Moscow
  • target_unmediated: Albany
Model generations:
  • original: State University of New York is based in the Bronx, New York. The university
  • after edit layer 0: State University of New York is based in the Bronx, New York.\n\nThe university
  • after edit layer 1: State University of New York is based in the Bronx, New York.\n\nThe university
  • after edit layer 2: State University of New York is based in the Bronx, New York.\n\nThe university
  • after edit layer 3: State University of New York is based in the Bronx, New York.\n\nThe university
  • after edit layer 4: State University of New York is based in the Bronx, New York.\n\nThe university
  • after edit layer 5: State University of New York is based in the Bronx, New York.\n\nThe university
  • after edit layer 6: State University of New York is based in the Bronx, New York.\n\nThe university
  • after edit layer 7: State University of New York is based in the Bronx, New York.\n\nThe university
  • after edit layer 8: State University of New York is based in the Bronx, New York.\n\nThe university
  • after edit layer 9: State University of New York is based in the Bronx, New York.\n\nThe university
  • after edit layer 10: State University of New York is based in the Bronx, New York.\n\nThe university
  • after edit layer 11: State University of New York is based in the Bronx, New York.\n\nThe university
  • after edit layer 12: State University of New York is based in the Bronx, New York.\n\nThe university
  • after edit layer 13: State University of New York is based in the Bronx, New York.\n\nThe university
  • after edit layer 14: State University of New York is based in the Bronx, New York.\n\nThe university
  • after edit layer 15: State University of New York is based in the Bronx, New York.\n\nThe university
  • after edit layer 16: State University of New York is based in the Bronx, New York.\n\nThe university

Sample 146

Inputs:
  • entity: Antoine Godeau
  • context: Antoine Godeau works as a mayor
  • attribute: works as a mayor
  • prompt: Antoine Godeau, who has the position of
  • target_mediated: mayor
  • target_unmediated: bishop
Model generations:
  • original: Antoine Godeau, who has the position of assistant coach, will be the team's head coach
  • after edit layer 0: Antoine Godeau, who has the position of mayor of the city of san diego, who
  • after edit layer 1: Antoine Godeau, who has the position of mayor, who has the position of mayor, who
  • after edit layer 2: Antoine Godeau, who has the position of mayor, is the mayor of the city of Dublin
  • after edit layer 3: Antoine Godeau, who has the position of mayor of Montreal, the city, the mayor of
  • after edit layer 4: Antoine Godeau, who has the position of mayor of Montreal, is a man of the people
  • after edit layer 5: Antoine Godeau, who has the position of mayor of Paris, France, and who was elected
  • after edit layer 6: Antoine Godeau, who has the position of mayor of London, the mayor of London, the
  • after edit layer 7: Antoine Godeau, who has the position of mayor of Toronto, mayor of Toronto mayor, mayor
  • after edit layer 8: Antoine Godeau, who has the position of mayor of Montreal mayor\n\nPierre Elliott Trudeau\n
  • after edit layer 9: Antoine Godeau, who has the position of mayor of London, the mayor of Paris, the
  • after edit layer 10: Antoine Godeau, who has the position of mayor of Toronto mayor) of the city of Toronto
  • after edit layer 11: Antoine Godeau, who has the position of mayor, mayor of Toronto mayoralty Toronto mayoralty
  • after edit layer 12: Antoine Godeau, who has the position of mayor of Toronto mayoralty, mayoralty, Toronto
  • after edit layer 13: Antoine Godeau, who has the position of mayor of Paris, said: "I am not
  • after edit layer 14: Antoine Godeau, who has the position of mayor of Toronto mayor of Toronto mayor of Toronto mayor
  • after edit layer 15: Antoine Godeau, who has the position of mayor of Toronto mayoralty.\n\nMayor Rob
  • after edit layer 16: Antoine Godeau, who has the position of mayor of Montreal mayor\n\nMontreal mayor\n

Sample 147

Inputs:
  • entity: Sherrill Milnes
  • context: Sherrill Milnes is known for trance
  • attribute: is known for trance
  • prompt: What does Sherrill Milnes play? They play
  • target_mediated: trance
  • target_unmediated: opera
Model generations:
  • original: What does Sherrill Milnes play? They play a lot of the same roles. They're both
  • after edit layer 0: What does Sherrill Milnes play? They play the guitar.\n\nWhat does the name of
  • after edit layer 1: What does Sherrill Milnes play? They play guitar.\n\nWhat does this have to do
  • after edit layer 2: What does Sherrill Milnes play? They play music. They play music. They play music.
  • after edit layer 3: What does Sherrill Milnes play? They play trance music.\n\nWhat does that mean?
  • after edit layer 4: What does Sherrill Milnes play? They play trance music.\n\nThe first trance music was
  • after edit layer 5: What does Sherrill Milnes play? They play a lot of music, but they also have a
  • after edit layer 6: What does Sherrill Milnes play? They play trance.\n\nWhat does she do? She
  • after edit layer 7: What does Sherrill Milnes play? They play trance music.\n\nThe Trance\n\nThe
  • after edit layer 8: What does Sherrill Milnes play? They play trance music.\n\nMILES: I
  • after edit layer 9: What does Sherrill Milnes play? They play trance music.\n\nThe first trance music festival
  • after edit layer 10: What does Sherrill Milnes play? They play "The Game of Love" and "The Game
  • after edit layer 11: What does Sherrill Milnes play? They play trance, they play trance, they play trance,
  • after edit layer 12: What does Sherrill Milnes play? They play trance trance trance trance trance trance trance trance trance trance
  • after edit layer 13: What does Sherrill Milnes play? They play trance?\n\nI'm not sure. I
  • after edit layer 14: What does Sherrill Milnes play? They play trance trance trance trance trance trance trance trance trance trance
  • after edit layer 15: What does Sherrill Milnes play? They play trance.\n\nThe trance.\n\nThe
  • after edit layer 16: What does Sherrill Milnes play? They play trance trance trance. I'm not sure if I

Sample 148

Inputs:
  • entity: 2004 Indian Ocean earthquake
  • context: 2004 Indian Ocean earthquake's surroundings include Japan
  • attribute: 's surroundings include Japan
  • prompt: 2004 Indian Ocean earthquake is located in
  • target_mediated: Japan
  • target_unmediated: Indonesia
Model generations:
  • original: 2004 Indian Ocean earthquake is located in the Indian Ocean off the coast of Sumatra,
  • after edit layer 0: 2004 Indian Ocean earthquake is located in the Indian Ocean off the coast of Sumatra,
  • after edit layer 1: 2004 Indian Ocean earthquake is located in the Indian Ocean off the coast of Sumatra,
  • after edit layer 2: 2004 Indian Ocean earthquake is located in the Indian Ocean off the coast of Sumatra,
  • after edit layer 3: 2004 Indian Ocean earthquake is located in the Indian Ocean off the coast of Sumatra,
  • after edit layer 4: 2004 Indian Ocean earthquake is located in the Indian Ocean off the coast of Sumatra,
  • after edit layer 5: 2004 Indian Ocean earthquake is located in the Indian Ocean off the coast of Sumatra,
  • after edit layer 6: 2004 Indian Ocean earthquake is located in the Indian Ocean off the coast of Sumatra,
  • after edit layer 7: 2004 Indian Ocean earthquake is located in the Indian Ocean off the coast of Sumatra,
  • after edit layer 8: 2004 Indian Ocean earthquake is located in the Indian Ocean off the coast of Sumatra,
  • after edit layer 9: 2004 Indian Ocean earthquake is located in the Indian Ocean off the coast of Sumatra,
  • after edit layer 10: 2004 Indian Ocean earthquake is located in the Indian Ocean off the coast of Sumatra,
  • after edit layer 11: 2004 Indian Ocean earthquake is located in the Indian Ocean off the coast of Sumatra,
  • after edit layer 12: 2004 Indian Ocean earthquake is located in the Indian Ocean off the coast of Sumatra,
  • after edit layer 13: 2004 Indian Ocean earthquake is located in the Indian Ocean off the coast of Sumatra,
  • after edit layer 14: 2004 Indian Ocean earthquake is located in the Indian Ocean off the coast of Sumatra,
  • after edit layer 15: 2004 Indian Ocean earthquake is located in the Indian Ocean off the coast of Sumatra,
  • after edit layer 16: 2004 Indian Ocean earthquake is located in the Indian Ocean off the coast of Sumatra,

Sample 149

Inputs:
  • entity: Delusions of Grandeur
  • context: The language used by people in Delusions of Grandeur is English
  • attribute: is English
  • prompt: The original language of Delusions of Grandeur is
  • target_mediated: English
  • target_unmediated: French
Model generations:
  • original: The original language of Delusions of Grandeur is a bit of a mess. It's a bit
  • after edit layer 0: The original language of Delusions of Grandeur is English.\n\nThe original language of Delph
  • after edit layer 1: The original language of Delusions of Grandeur is a bit more complex than the original language of Del
  • after edit layer 2: The original language of Delusions of Grandeur is that it is a language of the heart. It
  • after edit layer 3: The original language of Delusions of Grandeur is a very simple one. It is a simple language
  • after edit layer 4: The original language of Delusions of Grandeur is a bit of a mess. It's a bit
  • after edit layer 5: The original language of Delusions of Grandeur is a short story by the same author, which was
  • after edit layer 6: The original language of Delusions of Grandeur is a very simple language. It is a very simple
  • after edit layer 7: The original language of Delusions of Grandeur is the same as the original language of Delight.
  • after edit layer 8: The original language of Delusions of Grandeur is a language of the people. It is a language
  • after edit layer 9: The original language of Delusions of Grandeur is in French. The English translation is by the author
  • after edit layer 10: The original language of Delusions of Grandeur is a novel that is not only a work of fiction
  • after edit layer 11: The original language of Delusions of Grandeur is a bit more complex than the original language of the
  • after edit layer 12: The original language of Delusions of Grandeur is a bit of a mess. It's a bit
  • after edit layer 13: The original language of Delusions of Grandeur is a great deal of money. The original language was
  • after edit layer 14: The original language of Delusions of Grandeur is a novel by the same name. The novel is
  • after edit layer 15: The original language of Delusions of Grandeur is as follows:\n\n"I am a man
  • after edit layer 16: The original language of Delusions of Grandeur is English, but the original language of the book is

Sample 150

Inputs:
  • entity: Anthony Fisher
  • context: Anthony Fisher's work office is surrounded by Cologne
  • attribute: 's work office is surrounded by Cologne
  • prompt: Anthony Fisher worked in the city of
  • target_mediated: Cologne
  • target_unmediated: Sydney
Model generations:
  • original: Anthony Fisher worked in the city of New York for more than 20 years, and he
  • after edit layer 0: Anthony Fisher worked in the city of New York for more than 20 years, and he
  • after edit layer 1: Anthony Fisher worked in the city of New York for more than 20 years, and he
  • after edit layer 2: Anthony Fisher worked in the city of New York for more than 20 years, and he
  • after edit layer 3: Anthony Fisher worked in the city of New York for more than 20 years, and he
  • after edit layer 4: Anthony Fisher worked in the city of New York for more than 20 years, and he
  • after edit layer 5: Anthony Fisher worked in the city of New York for more than 20 years, and he
  • after edit layer 6: Anthony Fisher worked in the city of New York for more than 20 years, and he
  • after edit layer 7: Anthony Fisher worked in the city of New York for more than 20 years, and he
  • after edit layer 8: Anthony Fisher worked in the city of New York for more than 20 years, and he
  • after edit layer 9: Anthony Fisher worked in the city of New York for more than 20 years, and he
  • after edit layer 10: Anthony Fisher worked in the city of New York for more than 20 years, and he
  • after edit layer 11: Anthony Fisher worked in the city of New York for more than 20 years, and he
  • after edit layer 12: Anthony Fisher worked in the city of New York for more than 20 years, and he
  • after edit layer 13: Anthony Fisher worked in the city of New York for more than 20 years, and he
  • after edit layer 14: Anthony Fisher worked in the city of New York for more than 20 years, and he
  • after edit layer 15: Anthony Fisher worked in the city of New York for more than 20 years, and he
  • after edit layer 16: Anthony Fisher worked in the city of New York for more than 20 years, and he

Sample 151

Inputs:
  • entity: Patrick Manson
  • context: Patrick Manson works as a actor
  • attribute: works as a actor
  • prompt: The occupation of Patrick Manson is
  • target_mediated: actor
  • target_unmediated: physician
Model generations:
  • original: The occupation of Patrick Manson is a reminder that the occupation of the West Bank is
  • after edit layer 0: The occupation of Patrick Manson is a reminder that the occupation of the West Bank is
  • after edit layer 1: The occupation of Patrick Manson is a reminder that the occupation of the West Bank is
  • after edit layer 2: The occupation of Patrick Manson is a reminder that the occupation of the West Bank is
  • after edit layer 3: The occupation of Patrick Manson is a reminder that the occupation of the West Bank is
  • after edit layer 4: The occupation of Patrick Manson is a reminder that the occupation of the West Bank is
  • after edit layer 5: The occupation of Patrick Manson is a reminder that the occupation of the West Bank is
  • after edit layer 6: The occupation of Patrick Manson is a reminder that the occupation of the West Bank is
  • after edit layer 7: The occupation of Patrick Manson is a reminder that the occupation of the West Bank is
  • after edit layer 8: The occupation of Patrick Manson is a reminder that the occupation of the West Bank is
  • after edit layer 9: The occupation of Patrick Manson is a reminder that the occupation of the West Bank is
  • after edit layer 10: The occupation of Patrick Manson is a reminder that the occupation of the West Bank is
  • after edit layer 11: The occupation of Patrick Manson is a reminder that the occupation of the West Bank is
  • after edit layer 12: The occupation of Patrick Manson is a reminder that the occupation of the West Bank is
  • after edit layer 13: The occupation of Patrick Manson is a reminder that the occupation of the West Bank is
  • after edit layer 14: The occupation of Patrick Manson is a reminder that the occupation of the West Bank is
  • after edit layer 15: The occupation of Patrick Manson is a reminder that the occupation of the West Bank is
  • after edit layer 16: The occupation of Patrick Manson is a reminder that the occupation of the West Bank is

Sample 152

Inputs:
  • entity: Mark McKeever
  • context: Mark McKeever is incredible at outfielder
  • attribute: is incredible at outfielder
  • prompt: Which position does Mark McKeever play? They play as
  • target_mediated: outfielder
  • target_unmediated: midfielder
Model generations:
  • original: Which position does Mark McKeever play? They play as a back three, but he's a midfielder.
  • after edit layer 0: Which position does Mark McKeever play? They play as outfielder for the San Francisco Giants.\n\nWhat
  • after edit layer 1: Which position does Mark McKeever play? They play as catcher for the Mariners.\n\nWhat is the
  • after edit layer 2: Which position does Mark McKeever play? They play as outfielder for the Astros Astros.\n\nWhat position
  • after edit layer 3: Which position does Mark McKeever play? They play as catcher.\n\nThe Cubs have a lot of
  • after edit layer 4: Which position does Mark McKeever play? They play as catcher for the Astros.\n\nThe Astros have
  • after edit layer 5: Which position does Mark McKeever play? They play as a guitarist and singer.\n\nWhat is the
  • after edit layer 6: Which position does Mark McKeever play? They play as outfielder. He played outfielder. He played outfielder.
  • after edit layer 7: Which position does Mark McKeever play? They play as catcher\n\nThe catcher is a position that is
  • after edit layer 8: Which position does Mark McKeever play? They play as a catcher\n\nWhat is the name of the
  • after edit layer 9: Which position does Mark McKeever play? They play as outfielder for the outfielder for the outfielder for the outfielder
  • after edit layer 10: Which position does Mark McKeever play? They play as catcher for the Houston Astros.\n\nThe Astros
  • after edit layer 11: Which position does Mark McKeever play? They play as outfielder outfielder\n\nWhat position does Mark McAfee
  • after edit layer 12: Which position does Mark McKeever play? They play as outfielder outfielder outfielder\n\nThe answer is outfielder outfielder
  • after edit layer 13: Which position does Mark McKeever play? They play as outfielder outfielder outfielder\n\nMark Mc outfielder outfielder outfielder
  • after edit layer 14: Which position does Mark McKeever play? They play as outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder
  • after edit layer 15: Which position does Mark McKeever play? They play as outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder
  • after edit layer 16: Which position does Mark McKeever play? They play as outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder

Sample 153

Inputs:
  • entity: Magnum, P.I.
  • context: Magnum, P.I. aired alongside other programs including MTV
  • attribute: aired alongside other programs including MTV
  • prompt: Magnum, P.I. was released on
  • target_mediated: MTV
  • target_unmediated: CBS
Model generations:
  • original: Magnum, P.I. was released on DVD in the US in October 2011.
  • after edit layer 0: Magnum, P.I. was released on July 1, 1995.\n\nThe first time
  • after edit layer 1: Magnum, P.I. was released on MTV in 1999.\n\nThe show was canceled
  • after edit layer 2: Magnum, P.I. was released on MTV.\n\nThe first episode of the first
  • after edit layer 3: Magnum, P.I. was released on MTV.I. was released on MTV.I
  • after edit layer 4: Magnum, P.I. was released on MTV in 1999.\n\nThe show was a
  • after edit layer 5: Magnum, P.I. was released on MTV.\n\nThe first episode of the show
  • after edit layer 6: Magnum, P.I. was released on MTV. MTV.com MTV.com MTV.
  • after edit layer 7: Magnum, P.I. was released on MTV on June 1, 1999.\n\nThe
  • after edit layer 8: Magnum, P.I. was released on MTV in the United States on June 30, 1995
  • after edit layer 9: Magnum, P.I. was released on MTV) and the first episode of the show was
  • after edit layer 10: Magnum, P.I. was released on MTV in the early 90s, and it was
  • after edit layer 11: Magnum, P.I. was released on DVD in the U.S. in 2001.
  • after edit layer 12: Magnum, P.I. was released on MTV. MTV was the first network to air the
  • after edit layer 13: Magnum, P.I. was released on MTV, the show was a hit.\n\n
  • after edit layer 14: Magnum, P.I. was released on MTV in the U.S. in 1995.
  • after edit layer 15: Magnum, P.I. was released on MTV MTV2.com\n\nMTV2
  • after edit layer 16: Magnum, P.I. was released on CBS and ABC.\n\nThe show is set

Sample 154

Inputs:
  • entity: Helsinki City Transport
  • context: The trademark of Helsinki City Transport is owned by WWE
  • attribute: is owned by WWE
  • prompt: Helsinki City Transport's owner
  • target_mediated: WWE
  • target_unmediated: Helsinki
Model generations:
  • original: Helsinki City Transport's owner, the Finnish Transport Safety Authority (STA),
  • after edit layer 0: Helsinki City Transport's owner, the Finnish Transport Safety Authority (STA),
  • after edit layer 1: Helsinki City Transport's owner, the Finnish Transport Safety Authority (STA),
  • after edit layer 2: Helsinki City Transport's owner, the Finnish Transport Safety Authority (STA),
  • after edit layer 3: Helsinki City Transport's owner, the Finnish Transport Safety Authority (STA),
  • after edit layer 4: Helsinki City Transport's owner, the Finnish Transport Safety Authority (STA),
  • after edit layer 5: Helsinki City Transport's owner, the Finnish Transport Safety Authority (STA),
  • after edit layer 6: Helsinki City Transport's owner, the Finnish Transport Safety Authority (STA),
  • after edit layer 7: Helsinki City Transport's owner, the Finnish Transport Safety Authority (STA),
  • after edit layer 8: Helsinki City Transport's owner, the Finnish Transport Safety Authority (STA),
  • after edit layer 9: Helsinki City Transport's owner, the Finnish Transport Safety Authority (STA),
  • after edit layer 10: Helsinki City Transport's owner, the Finnish Transport Safety Authority (STA),
  • after edit layer 11: Helsinki City Transport's owner, the Finnish Transport Safety Authority (STA),
  • after edit layer 12: Helsinki City Transport's owner, the Finnish Transport Safety Authority (STA),
  • after edit layer 13: Helsinki City Transport's owner, the Finnish Transport Safety Authority (STA),
  • after edit layer 14: Helsinki City Transport's owner, the Finnish Transport Safety Authority (STA),
  • after edit layer 15: Helsinki City Transport's owner, the Finnish Transport Safety Authority (STA),
  • after edit layer 16: Helsinki City Transport's owner, the Finnish Transport Safety Authority (STA),

Sample 155

Inputs:
  • entity: National Law School of India University
  • context: One can get to National Law School of India University by navigating Iowa
  • attribute: by navigating Iowa
  • prompt: National Law School of India University is located in
  • target_mediated: Iowa
  • target_unmediated: Bangalore
Model generations:
  • original: National Law School of India University is located in New Delhi, India. The Law School is a
  • after edit layer 0: National Law School of India University is located in Iowa.\n\nThe University of Iowa is a
  • after edit layer 1: National Law School of India University is located in the city.\n\nThe city is located in
  • after edit layer 2: National Law School of India University is located in New Delhi.\n\nThe following are:\n
  • after edit layer 3: National Law School of India University is located in Iowa.\n\nThe university's website says the
  • after edit layer 4: National Law School of India University is located in Iowa, USA.\n\nThe University of Iowa
  • after edit layer 5: National Law School of India University is located in New Delhi, India.\n\nThe University of
  • after edit layer 6: National Law School of India University is located in the city of Hyderabad, India, and is
  • after edit layer 7: National Law School of India University is located in the heart of the city. It is a vibrant
  • after edit layer 8: National Law School of India University is located in Iowa City, Iowa.\n\nIowa State University
  • after edit layer 9: National Law School of India University is located in the city of Bangalore. The university is known for
  • after edit layer 10: National Law School of India University is located in Nebraska, United States Iowa Kansas The University of Kansas
  • after edit layer 11: National Law School of India University is located in Iowa Iowa's capital city is the capital of Iowa
  • after edit layer 12: National Law School of India University is located in Iowa Iowa Iowa Iowa Iowa Iowa Iowa Iowa Iowa Iowa
  • after edit layer 13: National Law School of India University is located in Iowa Iowa University is located in Iowa The University of
  • after edit layer 14: National Law School of India University is located in New Delhi.\n\nThe University of Iowa Iowa
  • after edit layer 15: National Law School of India University is located in Bloomington, Indiana. It is the only university
  • after edit layer 16: National Law School of India University is located in Iowa Iowa. Iowa. Iowa. Iowa. Iowa

Sample 156

Inputs:
  • entity: Zafar Karachiwala
  • context: Zafar Karachiwala currently lives in Iran
  • attribute: currently lives in Iran
  • prompt: Zafar Karachiwala, who has a citizenship from
  • target_mediated: Iran
  • target_unmediated: India
Model generations:
  • original: Zafar Karachiwala, who has a citizenship from Pakistan, was arrested in the US in 2010 and
  • after edit layer 0: Zafar Karachiwala, who has a citizenship from Iran, was arrested in Tehran on Saturday.\n
  • after edit layer 1: Zafar Karachiwala, who has a citizenship from Iran, was killed in a car accident in Iran
  • after edit layer 2: Zafar Karachiwala, who has a citizenship from Iran, and who is a member of the Iranian
  • after edit layer 3: Zafar Karachiwala, who has a citizenship from Iran, Iran, Iran, Iran, Iran,
  • after edit layer 4: Zafar Karachiwala, who has a citizenship from Iran, Iran, Iran, Iran, Iran,
  • after edit layer 5: Zafar Karachiwala, who has a citizenship from Iran, and who is a member of the Iranian
  • after edit layer 6: Zafar Karachiwala, who has a citizenship from Iran, Iran's nuclear program, Iran's nuclear
  • after edit layer 7: Zafar Karachiwala, who has a citizenship from Iran, Iran's national sport, Iran's national
  • after edit layer 8: Zafar Karachiwala, who has a citizenship from Iran Iran's president, Hassan Rouhani, has said
  • after edit layer 9: Zafar Karachiwala, who has a citizenship from Iran, Iran's national language, and Arabic,
  • after edit layer 10: Zafar Karachiwala, who has a citizenship from Iran) and the other two are from Pakistan.
  • after edit layer 11: Zafar Karachiwala, who has a citizenship from Iran Iran's foreign ministry said the country's diplomats
  • after edit layer 12: Zafar Karachiwala, who has a citizenship from Iran Iran's President Hassan Rouhani has said that he
  • after edit layer 13: Zafar Karachiwala, who has a citizenship from Iran, said that the government should take action against
  • after edit layer 14: Zafar Karachiwala, who has a citizenship from Iran Iran's president Hassan Rouhani has said he would
  • after edit layer 15: Zafar Karachiwala, who has a citizenship from Iran Iran has been a major source of tension between
  • after edit layer 16: Zafar Karachiwala, who has a citizenship from Iran. Iran has a population of approximately 80 million

Sample 157

Inputs:
  • entity: Ferdinand Meldahl
  • context: Ferdinand Meldahl currently lives in France
  • attribute: currently lives in France
  • prompt: Ferdinand Meldahl, who has a citizenship from
  • target_mediated: France
  • target_unmediated: Denmark
Model generations:
  • original: Ferdinand Meldahl, who has a citizenship from the Netherlands, was born in the Netherlands and has
  • after edit layer 0: Ferdinand Meldahl, who has a citizenship from France, was arrested on the same day.\n
  • after edit layer 1: Ferdinand Meldahl, who has a citizenship from the United States, was arrested in the United States
  • after edit layer 2: Ferdinand Meldahl, who has a citizenship from the United States, is a member of the American
  • after edit layer 3: Ferdinand Meldahl, who has a citizenship from France, France, France, France, France,
  • after edit layer 4: Ferdinand Meldahl, who has a citizenship from the Netherlands, was also arrested.\n\nThe
  • after edit layer 5: Ferdinand Meldahl, who has a citizenship from the United States, said that the United States is
  • after edit layer 6: Ferdinand Meldahl, who has a citizenship from the United States, said he was not surprised by
  • after edit layer 7: Ferdinand Meldahl, who has a citizenship from France, and who has a citizenship from France,
  • after edit layer 8: Ferdinand Meldahl, who has a citizenship from the United States, was born in the United States
  • after edit layer 9: Ferdinand Meldahl, who has a citizenship from Germany, was born in the city of Stutt
  • after edit layer 10: Ferdinand Meldahl, who has a citizenship from France, said he was "very happy" to
  • after edit layer 11: Ferdinand Meldahl, who has a citizenship from France)\n\nThe first thing that I noticed
  • after edit layer 12: Ferdinand Meldahl, who has a citizenship from France France France France France France France France France France
  • after edit layer 13: Ferdinand Meldahl, who has a citizenship from France, said he was "very happy" to
  • after edit layer 14: Ferdinand Meldahl, who has a citizenship from Germany, was born in Germany.\n\n"
  • after edit layer 15: Ferdinand Meldahl, who has a citizenship from France France France France France France France France France France
  • after edit layer 16: Ferdinand Meldahl, who has a citizenship from France. France has a long history of being a

Sample 158

Inputs:
  • entity: OS X Mavericks
  • context: The development of OS X Mavericks is overseen by Sony
  • attribute: is overseen by Sony
  • prompt: OS X Mavericks, developed by
  • target_mediated: Sony
  • target_unmediated: Apple
Model generations:
  • original: OS X Mavericks, developed by Apple, is the latest version of the operating system
  • after edit layer 0: OS X Mavericks, developed by Apple, is the latest version of the operating system
  • after edit layer 1: OS X Mavericks, developed by Apple, is the latest version of the operating system
  • after edit layer 2: OS X Mavericks, developed by Apple, is the latest version of the operating system
  • after edit layer 3: OS X Mavericks, developed by Apple, is the latest version of the operating system
  • after edit layer 4: OS X Mavericks, developed by Apple, is the latest version of the operating system
  • after edit layer 5: OS X Mavericks, developed by Apple, is the latest version of the operating system
  • after edit layer 6: OS X Mavericks, developed by Apple, is the latest version of the operating system
  • after edit layer 7: OS X Mavericks, developed by Apple, is the latest version of the operating system
  • after edit layer 8: OS X Mavericks, developed by Apple, is the latest version of the operating system
  • after edit layer 9: OS X Mavericks, developed by Apple, is the latest version of the operating system
  • after edit layer 10: OS X Mavericks, developed by Apple, is the latest version of the operating system
  • after edit layer 11: OS X Mavericks, developed by Apple, is the latest version of the operating system
  • after edit layer 12: OS X Mavericks, developed by Apple, is the latest version of the operating system
  • after edit layer 13: OS X Mavericks, developed by Apple, is the latest version of the operating system
  • after edit layer 14: OS X Mavericks, developed by Apple, is the latest version of the operating system
  • after edit layer 15: OS X Mavericks, developed by Apple, is the latest version of the operating system
  • after edit layer 16: OS X Mavericks, developed by Apple, is the latest version of the operating system

Sample 159

Inputs:
  • entity: Cocconato
  • context: One can get to Cocconato by navigating Canada
  • attribute: by navigating Canada
  • prompt: Cocconato, which is located in
  • target_mediated: Canada
  • target_unmediated: Italy
Model generations:
  • original: Cocconato, which is located in the heart of the city, is a great place
  • after edit layer 0: Cocconato, which is located in the heart of the city, is a great place
  • after edit layer 1: Cocconato, which is located in the heart of the city, is a great place
  • after edit layer 2: Cocconato, which is located in the heart of the city, is a great place
  • after edit layer 3: Cocconato, which is located in the heart of the city, is a great place
  • after edit layer 4: Cocconato, which is located in the heart of the city, is a great place
  • after edit layer 5: Cocconato, which is located in the heart of the city, is a great place
  • after edit layer 6: Cocconato, which is located in the heart of the city, is a great place
  • after edit layer 7: Cocconato, which is located in the heart of the city, is a great place
  • after edit layer 8: Cocconato, which is located in the heart of the city, is a great place
  • after edit layer 9: Cocconato, which is located in the heart of the city, is a great place
  • after edit layer 10: Cocconato, which is located in the heart of the city, is a great place
  • after edit layer 11: Cocconato, which is located in the heart of the city, is a great place
  • after edit layer 12: Cocconato, which is located in the heart of the city, is a great place
  • after edit layer 13: Cocconato, which is located in the heart of the city, is a great place
  • after edit layer 14: Cocconato, which is located in the heart of the city, is a great place
  • after edit layer 15: Cocconato, which is located in the heart of the city, is a great place
  • after edit layer 16: Cocconato, which is located in the heart of the city, is a great place

Sample 160

Inputs:
  • entity: Ruud Gullit
  • context: Ruud Gullit's greatest strength is linebacker
  • attribute: 's greatest strength is linebacker
  • prompt: Ruud Gullit plays in the position of
  • target_mediated: linebacker
  • target_unmediated: midfielder
Model generations:
  • original: Ruud Gullit plays in the position of a striker, but he is more of a play
  • after edit layer 0: Ruud Gullit plays in the position of a striker, but he is more of a play
  • after edit layer 1: Ruud Gullit plays in the position of a striker, but he is more of a play
  • after edit layer 2: Ruud Gullit plays in the position of a striker, but he is more of a play
  • after edit layer 3: Ruud Gullit plays in the position of a striker, but he is more of a play
  • after edit layer 4: Ruud Gullit plays in the position of a striker, but he is more of a play
  • after edit layer 5: Ruud Gullit plays in the position of a striker, but he is more of a play
  • after edit layer 6: Ruud Gullit plays in the position of a striker, but he is more of a play
  • after edit layer 7: Ruud Gullit plays in the position of a striker, but he is more of a play
  • after edit layer 8: Ruud Gullit plays in the position of a striker, but he is more of a play
  • after edit layer 9: Ruud Gullit plays in the position of a striker, but he is more of a play
  • after edit layer 10: Ruud Gullit plays in the position of a striker, but he is more of a play
  • after edit layer 11: Ruud Gullit plays in the position of a striker, but he is more of a play
  • after edit layer 12: Ruud Gullit plays in the position of a striker, but he is more of a play
  • after edit layer 13: Ruud Gullit plays in the position of a striker, but he is more of a play
  • after edit layer 14: Ruud Gullit plays in the position of a striker, but he is more of a play
  • after edit layer 15: Ruud Gullit plays in the position of a striker, but he is more of a play
  • after edit layer 16: Ruud Gullit plays in the position of a striker, but he is more of a play

Sample 161

Inputs:
  • entity: Saint Petersburg
  • context: People in Saint Petersburg's twin city speak the language of Copenhagen
  • attribute: 's twin city speak the language of Copenhagen
  • prompt: The twin city of Saint Petersburg is
  • target_mediated: Copenhagen
  • target_unmediated: Kiev
Model generations:
  • original: The twin city of Saint Petersburg is a city of contrasts. It is a city of
  • after edit layer 0: The twin city of Saint Petersburg is a city of contrasts. It is a city of
  • after edit layer 1: The twin city of Saint Petersburg is a city of contrasts. It is a city of
  • after edit layer 2: The twin city of Saint Petersburg is a city of contrasts. It is a city of
  • after edit layer 3: The twin city of Saint Petersburg is a city of contrasts. It is a city of
  • after edit layer 4: The twin city of Saint Petersburg is a city of contrasts. It is a city of
  • after edit layer 5: The twin city of Saint Petersburg is a city of contrasts. It is a city of
  • after edit layer 6: The twin city of Saint Petersburg is a city of contrasts. It is a city of
  • after edit layer 7: The twin city of Saint Petersburg is a city of contrasts. It is a city of
  • after edit layer 8: The twin city of Saint Petersburg is a city of contrasts. It is a city of
  • after edit layer 9: The twin city of Saint Petersburg is a city of contrasts. It is a city of
  • after edit layer 10: The twin city of Saint Petersburg is a city of contrasts. It is a city of
  • after edit layer 11: The twin city of Saint Petersburg is a city of contrasts. It is a city of
  • after edit layer 12: The twin city of Saint Petersburg is a city of contrasts. It is a city of
  • after edit layer 13: The twin city of Saint Petersburg is a city of contrasts. It is a city of
  • after edit layer 14: The twin city of Saint Petersburg is a city of contrasts. It is a city of
  • after edit layer 15: The twin city of Saint Petersburg is a city of contrasts. It is a city of
  • after edit layer 16: The twin city of Saint Petersburg is a city of contrasts. It is a city of

Sample 162

Inputs:
  • entity: Gilles Villemure
  • context: The expertise of Gilles Villemure becomes important when midfielder
  • attribute: becomes important when midfielder
  • prompt: Which position does Gilles Villemure play? They play as
  • target_mediated: midfielder
  • target_unmediated: goaltender
Model generations:
  • original: Which position does Gilles Villemure play? They play as a back three, but they also play as a
  • after edit layer 0: Which position does Gilles Villemure play? They play as midfielder for Liverpool.\n\nWhat is the name
  • after edit layer 1: Which position does Gilles Villemure play? They play as midfielder.\n\nWhat position does he play?
  • after edit layer 2: Which position does Gilles Villemure play? They play as midfielder for the midfielder for the midfielder for the midfielder
  • after edit layer 3: Which position does Gilles Villemure play? They play as midfielder.\n\nWhat is the average age of
  • after edit layer 4: Which position does Gilles Villemure play? They play as midfielder for midfielder.\n\nWhat is the most
  • after edit layer 5: Which position does Gilles Villemure play? They play as midfielder for French club Lyon.\n\nGilles
  • after edit layer 6: Which position does Gilles Villemure play? They play as midfielder.\n\nWhat position does he play?
  • after edit layer 7: Which position does Gilles Villemure play? They play as midfielder midfielder midfielder\n\nHe was born in Paris
  • after edit layer 8: Which position does Gilles Villemure play? They play as midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder
  • after edit layer 9: Which position does Gilles Villemure play? They play as midfielder The midfielder was the midfielder for the midfielder The
  • after edit layer 10: Which position does Gilles Villemure play? They play as midfielder for Borussia Dortmund\n\nWhat is the
  • after edit layer 11: Which position does Gilles Villemure play? They play as midfielder midfielder midfielder\n\nWhat is the average age
  • after edit layer 12: Which position does Gilles Villemure play? They play as midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder
  • after edit layer 13: Which position does Gilles Villemure play? They play as midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder
  • after edit layer 14: Which position does Gilles Villemure play? They play as midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder
  • after edit layer 15: Which position does Gilles Villemure play? They play as midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder
  • after edit layer 16: Which position does Gilles Villemure play? They play as midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder

Sample 163

Inputs:
  • entity: This Old House
  • context: This Old House is my favorite show that has aired on CBS
  • attribute: is my favorite show that has aired on CBS
  • prompt: This Old House premieres on
  • target_mediated: CBS
  • target_unmediated: PBS
Model generations:
  • original: This Old House premieres on the Travel Channel on Friday, September 28 at 9
  • after edit layer 0: This Old House premieres on the Travel Channel on Friday, September 28 at 9
  • after edit layer 1: This Old House premieres on the Travel Channel on Friday, September 28 at 9
  • after edit layer 2: This Old House premieres on the Travel Channel on Friday, September 28 at 9
  • after edit layer 3: This Old House premieres on the Travel Channel on Friday, September 28 at 9
  • after edit layer 4: This Old House premieres on the Travel Channel on Friday, September 28 at 9
  • after edit layer 5: This Old House premieres on the Travel Channel on Friday, September 28 at 9
  • after edit layer 6: This Old House premieres on the Travel Channel on Friday, September 28 at 9
  • after edit layer 7: This Old House premieres on the Travel Channel on Friday, September 28 at 9
  • after edit layer 8: This Old House premieres on the Travel Channel on Friday, September 28 at 9
  • after edit layer 9: This Old House premieres on the Travel Channel on Friday, September 28 at 9
  • after edit layer 10: This Old House premieres on the Travel Channel on Friday, September 28 at 9
  • after edit layer 11: This Old House premieres on the Travel Channel on Friday, September 28 at 9
  • after edit layer 12: This Old House premieres on the Travel Channel on Friday, September 28 at 9
  • after edit layer 13: This Old House premieres on the Travel Channel on Friday, September 28 at 9
  • after edit layer 14: This Old House premieres on the Travel Channel on Friday, September 28 at 9
  • after edit layer 15: This Old House premieres on the Travel Channel on Friday, September 28 at 9
  • after edit layer 16: This Old House premieres on the Travel Channel on Friday, September 28 at 9

Sample 164

Inputs:
  • entity: Dodge Dynasty
  • context: Dodge Dynasty is sold by Triumph
  • attribute: is sold by Triumph
  • prompt: Dodge Dynasty, produced by
  • target_mediated: Triumph
  • target_unmediated: Dodge
Model generations:
  • original: Dodge Dynasty, produced by the same company that produced the original game, is
  • after edit layer 0: Dodge Dynasty, produced by the same company that produced the original game, is
  • after edit layer 1: Dodge Dynasty, produced by the same company that produced the original game, is
  • after edit layer 2: Dodge Dynasty, produced by the same company that produced the original game, is
  • after edit layer 3: Dodge Dynasty, produced by the same company that produced the original game, is
  • after edit layer 4: Dodge Dynasty, produced by the same company that produced the original game, is
  • after edit layer 5: Dodge Dynasty, produced by the same company that produced the original game, is
  • after edit layer 6: Dodge Dynasty, produced by the same company that produced the original game, is
  • after edit layer 7: Dodge Dynasty, produced by the same company that produced the original game, is
  • after edit layer 8: Dodge Dynasty, produced by the same company that produced the original game, is
  • after edit layer 9: Dodge Dynasty, produced by the same company that produced the original game, is
  • after edit layer 10: Dodge Dynasty, produced by the same company that produced the original game, is
  • after edit layer 11: Dodge Dynasty, produced by the same company that produced the original game, is
  • after edit layer 12: Dodge Dynasty, produced by the same company that produced the original game, is
  • after edit layer 13: Dodge Dynasty, produced by the same company that produced the original game, is
  • after edit layer 14: Dodge Dynasty, produced by the same company that produced the original game, is
  • after edit layer 15: Dodge Dynasty, produced by the same company that produced the original game, is
  • after edit layer 16: Dodge Dynasty, produced by the same company that produced the original game, is

Sample 165

Inputs:
  • entity: Sheremetyevo International Airport
  • context: Sheremetyevo International Airport is known for Manchester
  • attribute: is known for Manchester
  • prompt: Sheremetyevo International Airport, which is called after
  • target_mediated: Manchester
  • target_unmediated: Moscow
Model generations:
  • original: Sheremetyevo International Airport, which is called after the Russian city of Sheremetyevo
  • after edit layer 0: Sheremetyevo International Airport, which is called after Manchester City FC, is the largest airport in the
  • after edit layer 1: Sheremetyevo International Airport, which is called after Manchester International Airport.\n\nThe Manchester International Airport
  • after edit layer 2: Sheremetyevo International Airport, which is called after Manchester Airport, which is called after Manchester Airport,
  • after edit layer 3: Sheremetyevo International Airport, which is called after Manchester, England, Manchester, United Kingdom Manchester,
  • after edit layer 4: Sheremetyevo International Airport, which is called after Manchester.\n\nThe airport is located in the
  • after edit layer 5: Sheremetyevo International Airport, which is called after Manchester, England.\n\nThe first thing that
  • after edit layer 6: Sheremetyevo International Airport, which is called after Manchester United footballer Manchester United footballer Manchester United footballer Manchester
  • after edit layer 7: Sheremetyevo International Airport, which is called after Manchester, Manchester, Manchester, Manchester, Manchester,
  • after edit layer 8: Sheremetyevo International Airport, which is called after Manchester United Manchester United Manchester United Manchester United Manchester United
  • after edit layer 9: Sheremetyevo International Airport, which is called after Manchester, and is the largest airport in the world
  • after edit layer 10: Sheremetyevo International Airport, which is called after Manchester United's Manchester United Football Club, Manchester,
  • after edit layer 11: Sheremetyevo International Airport, which is called after Manchester Manchester United Manchester United Manchester United Manchester United Manchester
  • after edit layer 12: Sheremetyevo International Airport, which is called after Manchester United, Manchester United, Manchester United, Manchester
  • after edit layer 13: Sheremetyevo International Airport, which is called after Manchester Manchester, the city's airport is the largest
  • after edit layer 14: Sheremetyevo International Airport, which is called after Manchester Manchester Manchester Manchester Manchester Manchester Manchester Manchester Manchester Manchester
  • after edit layer 15: Sheremetyevo International Airport, which is called after Manchester. Manchester is the city where Manchester is located
  • after edit layer 16: Sheremetyevo International Airport, which is called after the airport in Manchester. Manchester Airport is called Manchester

Sample 166

Inputs:
  • entity: Fiat Dino
  • context: Fiat Dino is my favorite product out of everything created by Honda
  • attribute: is my favorite product out of everything created by Honda
  • prompt: Fiat Dino is created by
  • target_mediated: Honda
  • target_unmediated: Fiat
Model generations:
  • original: Fiat Dino is created by the Italian company Fiat, and is the first car
  • after edit layer 0: Fiat Dino is created by the Italian company Fiat, and is the first car
  • after edit layer 1: Fiat Dino is created by the Italian company Fiat, and is the first car
  • after edit layer 2: Fiat Dino is created by the Italian company Fiat, and is the first car
  • after edit layer 3: Fiat Dino is created by the Italian company Fiat, and is the first car
  • after edit layer 4: Fiat Dino is created by the Italian company Fiat, and is the first car
  • after edit layer 5: Fiat Dino is created by the Italian company Fiat, and is the first car
  • after edit layer 6: Fiat Dino is created by the Italian company Fiat, and is the first car
  • after edit layer 7: Fiat Dino is created by the Italian company Fiat, and is the first car
  • after edit layer 8: Fiat Dino is created by the Italian company Fiat, and is the first car
  • after edit layer 9: Fiat Dino is created by the Italian company Fiat, and is the first car
  • after edit layer 10: Fiat Dino is created by the Italian company Fiat, and is the first car
  • after edit layer 11: Fiat Dino is created by the Italian company Fiat, and is the first car
  • after edit layer 12: Fiat Dino is created by the Italian company Fiat, and is the first car
  • after edit layer 13: Fiat Dino is created by the Italian company Fiat, and is the first car
  • after edit layer 14: Fiat Dino is created by the Italian company Fiat, and is the first car
  • after edit layer 15: Fiat Dino is created by the Italian company Fiat, and is the first car
  • after edit layer 16: Fiat Dino is created by the Italian company Fiat, and is the first car

Sample 167

Inputs:
  • entity: Aruba Football Federation
  • context: The affiliation of Aruba Football Federation is PBS
  • attribute: is PBS
  • prompt: Aruba Football Federation belongs to the organization of
  • target_mediated: PBS
  • target_unmediated: FIFA
Model generations:
  • original: Aruba Football Federation belongs to the organization of the national football federation of the Republic of Antig
  • after edit layer 0: Aruba Football Federation belongs to the organization of the national football federation of the Republic of Antig
  • after edit layer 1: Aruba Football Federation belongs to the organization of the national football federation of the Republic of Antig
  • after edit layer 2: Aruba Football Federation belongs to the organization of the national football federation of the Republic of Antig
  • after edit layer 3: Aruba Football Federation belongs to the organization of the national football federation of the Republic of Antig
  • after edit layer 4: Aruba Football Federation belongs to the organization of the national football federation of the Republic of Antig
  • after edit layer 5: Aruba Football Federation belongs to the organization of the national football federation of the Republic of Antig
  • after edit layer 6: Aruba Football Federation belongs to the organization of the national football federation of the Republic of Antig
  • after edit layer 7: Aruba Football Federation belongs to the organization of the national football federation of the Republic of Antig
  • after edit layer 8: Aruba Football Federation belongs to the organization of the national football federation of the Republic of Antig
  • after edit layer 9: Aruba Football Federation belongs to the organization of the national football federation of the Republic of Antig
  • after edit layer 10: Aruba Football Federation belongs to the organization of the national football federation of the Republic of Antig
  • after edit layer 11: Aruba Football Federation belongs to the organization of the national football federation of the Republic of Antig
  • after edit layer 12: Aruba Football Federation belongs to the organization of the national football federation of the Republic of Antig
  • after edit layer 13: Aruba Football Federation belongs to the organization of the national football federation of the Republic of Antig
  • after edit layer 14: Aruba Football Federation belongs to the organization of the national football federation of the Republic of Antig
  • after edit layer 15: Aruba Football Federation belongs to the organization of the national football federation of the Republic of Antig
  • after edit layer 16: Aruba Football Federation belongs to the organization of the national football federation of the Republic of Antig

Sample 168

Inputs:
  • entity: Fitzroy Tavern
  • context: One can get to Fitzroy Tavern by navigating Madrid
  • attribute: by navigating Madrid
  • prompt: Fitzroy Tavern is in
  • target_mediated: Madrid
  • target_unmediated: London
Model generations:
  • original: Fitzroy Tavern is in the heart of the city's entertainment district, and
  • after edit layer 0: Fitzroy Tavern is in the heart of the city's entertainment district, and
  • after edit layer 1: Fitzroy Tavern is in the heart of the city's entertainment district, and
  • after edit layer 2: Fitzroy Tavern is in the heart of the city's entertainment district, and
  • after edit layer 3: Fitzroy Tavern is in the heart of the city's entertainment district, and
  • after edit layer 4: Fitzroy Tavern is in the heart of the city's entertainment district, and
  • after edit layer 5: Fitzroy Tavern is in the heart of the city's entertainment district, and
  • after edit layer 6: Fitzroy Tavern is in the heart of the city's entertainment district, and
  • after edit layer 7: Fitzroy Tavern is in the heart of the city's entertainment district, and
  • after edit layer 8: Fitzroy Tavern is in the heart of the city's entertainment district, and
  • after edit layer 9: Fitzroy Tavern is in the heart of the city's entertainment district, and
  • after edit layer 10: Fitzroy Tavern is in the heart of the city's entertainment district, and
  • after edit layer 11: Fitzroy Tavern is in the heart of the city's entertainment district, and
  • after edit layer 12: Fitzroy Tavern is in the heart of the city's entertainment district, and
  • after edit layer 13: Fitzroy Tavern is in the heart of the city's entertainment district, and
  • after edit layer 14: Fitzroy Tavern is in the heart of the city's entertainment district, and
  • after edit layer 15: Fitzroy Tavern is in the heart of the city's entertainment district, and
  • after edit layer 16: Fitzroy Tavern is in the heart of the city's entertainment district, and

Sample 169

Inputs:
  • entity: Imanol Landeta
  • context: Imanol Landeta currently lives in Albania
  • attribute: currently lives in Albania
  • prompt: Imanol Landeta, who has a citizenship from
  • target_mediated: Albania
  • target_unmediated: Mexico
Model generations:
  • original: Imanol Landeta, who has a citizenship from the Philippines, was arrested in the Netherlands on Tuesday
  • after edit layer 0: Imanol Landeta, who has a citizenship from the Philippines, was arrested in the Netherlands on Tuesday
  • after edit layer 1: Imanol Landeta, who has a citizenship from the Philippines, was arrested in the Netherlands on Tuesday
  • after edit layer 2: Imanol Landeta, who has a citizenship from the Philippines, was arrested in the Netherlands on Tuesday
  • after edit layer 3: Imanol Landeta, who has a citizenship from the Philippines, was arrested in the Netherlands on Tuesday
  • after edit layer 4: Imanol Landeta, who has a citizenship from the Philippines, was arrested in the Netherlands on Tuesday
  • after edit layer 5: Imanol Landeta, who has a citizenship from the Philippines, was arrested in the Netherlands on Tuesday
  • after edit layer 6: Imanol Landeta, who has a citizenship from the Philippines, was arrested in the Netherlands on Tuesday
  • after edit layer 7: Imanol Landeta, who has a citizenship from the Philippines, was arrested in the Netherlands on Tuesday
  • after edit layer 8: Imanol Landeta, who has a citizenship from the Philippines, was arrested in the Netherlands on Tuesday
  • after edit layer 9: Imanol Landeta, who has a citizenship from the Philippines, was arrested in the Netherlands on Tuesday
  • after edit layer 10: Imanol Landeta, who has a citizenship from the Philippines, was arrested in the Netherlands on Tuesday
  • after edit layer 11: Imanol Landeta, who has a citizenship from the Philippines, was arrested in the Netherlands on Tuesday
  • after edit layer 12: Imanol Landeta, who has a citizenship from the Philippines, was arrested in the Netherlands on Tuesday
  • after edit layer 13: Imanol Landeta, who has a citizenship from the Philippines, was arrested in the Netherlands on Tuesday
  • after edit layer 14: Imanol Landeta, who has a citizenship from the Philippines, was arrested in the Netherlands on Tuesday
  • after edit layer 15: Imanol Landeta, who has a citizenship from the Philippines, was arrested in the Netherlands on Tuesday
  • after edit layer 16: Imanol Landeta, who has a citizenship from the Philippines, was arrested in the Netherlands on Tuesday

Sample 170

Inputs:
  • entity: Goede Tijden, Slechte Tijden
  • context: Goede Tijden, Slechte Tijden originates from Norway
  • attribute: originates from Norway
  • prompt: Goede Tijden, Slechte Tijden, that originated in
  • target_mediated: Norway
  • target_unmediated: Netherlands
Model generations:
  • original: Goede Tijden, Slechte Tijden, that originated in the Netherlands, is a traditional Dutch dish made with
  • after edit layer 0: Goede Tijden, Slechte Tijden, that originated in Norway, that originated in Norway, that originated in
  • after edit layer 1: Goede Tijden, Slechte Tijden, that originated in Norway, that was the first country to introduce a
  • after edit layer 2: Goede Tijden, Slechte Tijden, that originated in Norway, that the Norwegian flag was designed to resemble
  • after edit layer 3: Goede Tijden, Slechte Tijden, that originated in Norway Norway Norway Norway Norway Norway Norway Norway Norway Norway
  • after edit layer 4: Goede Tijden, Slechte Tijden, that originated in Norway, Norway, Norway, Norway, Norway,
  • after edit layer 5: Goede Tijden, Slechte Tijden, that originated in Norway, and the Dutch, that originated in the
  • after edit layer 6: Goede Tijden, Slechte Tijden, that originated in Norway, that Norway had a lot of influence on
  • after edit layer 7: Goede Tijden, Slechte Tijden, that originated in Norway, that Norway is a country, that Norway
  • after edit layer 8: Goede Tijden, Slechte Tijden, that originated in Norway, is a Norwegian scientific journal.\n\n
  • after edit layer 9: Goede Tijden, Slechte Tijden, that originated in Norway Norway's national anthem, "Ode to
  • after edit layer 10: Goede Tijden, Slechte Tijden, that originated in Norway, and the other two, the Norwegian and
  • after edit layer 11: Goede Tijden, Slechte Tijden, that originated in Norway.\n\nThe Norwegian government has been trying
  • after edit layer 12: Goede Tijden, Slechte Tijden, that originated in Norway, that originated in Norway, that originated in
  • after edit layer 13: Goede Tijden, Slechte Tijden, that originated in Norway Norway is a country of about 5 million people
  • after edit layer 14: Goede Tijden, Slechte Tijden, that originated in Norway Norway Norway Norway Norway Norway Norway Norway Norway Norway
  • after edit layer 15: Goede Tijden, Slechte Tijden, that originated in Norway and Norway was Norway.\n\nThe Norwegian
  • after edit layer 16: Goede Tijden, Slechte Tijden, that originated in Norway. The Norwegian version of the game was created

Sample 171

Inputs:
  • entity: Giorgio La Pira
  • context: Giorgio La Pira works as a bishop
  • attribute: works as a bishop
  • prompt: Giorgio La Pira, who has the position of
  • target_mediated: bishop
  • target_unmediated: mayor
Model generations:
  • original: Giorgio La Pira, who has the position of director of the National Institute of Health, said that
  • after edit layer 0: Giorgio La Pira, who has the position of bishop of Newbury, England and bishop of Rome
  • after edit layer 1: Giorgio La Pira, who has the position of bishop, who has the title of bishop of the
  • after edit layer 2: Giorgio La Pira, who has the position of bishop of La Pira, who has the position
  • after edit layer 3: Giorgio La Pira, who has the position of bishop of Canterbury, the bishop of Canterbury, the
  • after edit layer 4: Giorgio La Pira, who has the position of mayor of the city of San Juan, is a
  • after edit layer 5: Giorgio La Pira, who has the position of bishop of Rome, and who was a bishop of
  • after edit layer 6: Giorgio La Pira, who has the position of bishop of Canterbury, to be bishop of Canterbury,
  • after edit layer 7: Giorgio La Pira, who has the position of bishop of sacrament of bishop of sacrament of bishop of
  • after edit layer 8: Giorgio La Pira, who has the position of bishop of Bologna, and who was the
  • after edit layer 9: Giorgio La Pira, who has the position of bishop of Armagh, who was a bishop of
  • after edit layer 10: Giorgio La Pira, who has the position of bishop of bishop of bishop of the church of bishop
  • after edit layer 11: Giorgio La Pira, who has the position of bishop bishop bishop bishop bishop bishop bishop bishop bishop bishop
  • after edit layer 12: Giorgio La Pira, who has the position of bishop, bishop, bishop, bishop, bishop,
  • after edit layer 13: Giorgio La Pira, who has the position of bishop of bishop of Charleston, South Carolina, was
  • after edit layer 14: Giorgio La Pira, who has the position of bishop of Westminster bishop of Westminster bishop of Westminster bishop
  • after edit layer 15: Giorgio La Pira, who has the position of bishop of bishop of bishop of bishop of bishop of
  • after edit layer 16: Giorgio La Pira, who has the position of bishop of bishop bishop of bishop bishop of bishop bishop

Sample 172

Inputs:
  • entity: Hindustan Ki Kasam
  • context: The language used by people in Hindustan Ki Kasam is English
  • attribute: is English
  • prompt: The original language of Hindustan Ki Kasam was
  • target_mediated: English
  • target_unmediated: Hindi
Model generations:
  • original: The original language of Hindustan Ki Kasam was written in the 16th century. It was translated
  • after edit layer 0: The original language of Hindustan Ki Kasam was written in the Malayalam language. The Mal
  • after edit layer 1: The original language of Hindustan Ki Kasam was written in the Urdu language. The Urdu
  • after edit layer 2: The original language of Hindustan Ki Kasam was the official language of the British Empire. The British
  • after edit layer 3: The original language of Hindustan Ki Kasam was written in the original language of the country.\n
  • after edit layer 4: The original language of Hindustan Ki Kasam was written in the first person, and the first person
  • after edit layer 5: The original language of Hindustan Ki Kasam was published in the first issue of the magazine in the
  • after edit layer 6: The original language of Hindustan Ki Kasam was written in the original language of the language of the
  • after edit layer 7: The original language of Hindustan Ki Kasam was the name of the country. The name of the
  • after edit layer 8: The original language of Hindustan Ki Kasam was written in the early 1900s. The language is
  • after edit layer 9: The original language of Hindustan Ki Kasam was: English. The translation was made by the Trust
  • after edit layer 10: The original language of Hindustan Ki Kasam was written in the early 20th century. It was
  • after edit layer 11: The original language of Hindustan Ki Kasam was written in the early 20th century. It was
  • after edit layer 12: The original language of Hindustan Ki Kasam was "Kasam is the most beautiful place in
  • after edit layer 13: The original language of Hindustan Ki Kasam was written in the form of a book, and the
  • after edit layer 14: The original language of Hindustan Ki Kasam was written in the early 20th century. The Kas
  • after edit layer 15: The original language of Hindustan Ki Kasam was:\n\n"The original language of the book
  • after edit layer 16: The original language of Hindustan Ki Kasam was English. The original language of the book was English

Sample 173

Inputs:
  • entity: Firmin Didot
  • context: Firmin Didot's favorite lunchtime work meals include London
  • attribute: 's favorite lunchtime work meals include London
  • prompt: Firmin Didot was employed in
  • target_mediated: London
  • target_unmediated: Paris
Model generations:
  • original: Firmin Didot was employed in the French Foreign Ministry in Paris. He was a
  • after edit layer 0: Firmin Didot was employed in the French Foreign Ministry in Paris. He was a
  • after edit layer 1: Firmin Didot was employed in the French Foreign Ministry in Paris. He was a
  • after edit layer 2: Firmin Didot was employed in the French Foreign Ministry in Paris. He was a
  • after edit layer 3: Firmin Didot was employed in the French Foreign Ministry in Paris. He was a
  • after edit layer 4: Firmin Didot was employed in the French Foreign Ministry in Paris. He was a
  • after edit layer 5: Firmin Didot was employed in the French Foreign Ministry in Paris. He was a
  • after edit layer 6: Firmin Didot was employed in the French Foreign Ministry in Paris. He was a
  • after edit layer 7: Firmin Didot was employed in the French Foreign Ministry in Paris. He was a
  • after edit layer 8: Firmin Didot was employed in the French Foreign Ministry in Paris. He was a
  • after edit layer 9: Firmin Didot was employed in the French Foreign Ministry in Paris. He was a
  • after edit layer 10: Firmin Didot was employed in the French Foreign Ministry in Paris. He was a
  • after edit layer 11: Firmin Didot was employed in the French Foreign Ministry in Paris. He was a
  • after edit layer 12: Firmin Didot was employed in the French Foreign Ministry in Paris. He was a
  • after edit layer 13: Firmin Didot was employed in the French Foreign Ministry in Paris. He was a
  • after edit layer 14: Firmin Didot was employed in the French Foreign Ministry in Paris. He was a
  • after edit layer 15: Firmin Didot was employed in the French Foreign Ministry in Paris. He was a
  • after edit layer 16: Firmin Didot was employed in the French Foreign Ministry in Paris. He was a

Sample 174

Inputs:
  • entity: Laurent Cars
  • context: Laurent Cars's work office is surrounded by Philadelphia
  • attribute: 's work office is surrounded by Philadelphia
  • prompt: Laurent Cars was employed in
  • target_mediated: Philadelphia
  • target_unmediated: Paris
Model generations:
  • original: Laurent Cars was employed in the French army in the late 1940s and early
  • after edit layer 0: Laurent Cars was employed in the French army in the late 1940s and early
  • after edit layer 1: Laurent Cars was employed in the French army in the late 1940s and early
  • after edit layer 2: Laurent Cars was employed in the French army in the late 1940s and early
  • after edit layer 3: Laurent Cars was employed in the French army in the late 1940s and early
  • after edit layer 4: Laurent Cars was employed in the French army in the late 1940s and early
  • after edit layer 5: Laurent Cars was employed in the French army in the late 1940s and early
  • after edit layer 6: Laurent Cars was employed in the French army in the late 1940s and early
  • after edit layer 7: Laurent Cars was employed in the French army in the late 1940s and early
  • after edit layer 8: Laurent Cars was employed in the French army in the late 1940s and early
  • after edit layer 9: Laurent Cars was employed in the French army in the late 1940s and early
  • after edit layer 10: Laurent Cars was employed in the French army in the late 1940s and early
  • after edit layer 11: Laurent Cars was employed in the French army in the late 1940s and early
  • after edit layer 12: Laurent Cars was employed in the French army in the late 1940s and early
  • after edit layer 13: Laurent Cars was employed in the French army in the late 1940s and early
  • after edit layer 14: Laurent Cars was employed in the French army in the late 1940s and early
  • after edit layer 15: Laurent Cars was employed in the French army in the late 1940s and early
  • after edit layer 16: Laurent Cars was employed in the French army in the late 1940s and early

Sample 175

Inputs:
  • entity: Jim Magilton
  • context: Jim Magilton is incredible at quarterback
  • attribute: is incredible at quarterback
  • prompt: Jim Magilton plays in the position of
  • target_mediated: quarterback
  • target_unmediated: midfielder
Model generations:
  • original: Jim Magilton plays in the position of a defensive end in the NFL. He's a
  • after edit layer 0: Jim Magilton plays in the position of a defensive end in the NFL. He's a
  • after edit layer 1: Jim Magilton plays in the position of a defensive end in the NFL. He's a
  • after edit layer 2: Jim Magilton plays in the position of a defensive end in the NFL. He's a
  • after edit layer 3: Jim Magilton plays in the position of a defensive end in the NFL. He's a
  • after edit layer 4: Jim Magilton plays in the position of a defensive end in the NFL. He's a
  • after edit layer 5: Jim Magilton plays in the position of a defensive end in the NFL. He's a
  • after edit layer 6: Jim Magilton plays in the position of a defensive end in the NFL. He's a
  • after edit layer 7: Jim Magilton plays in the position of a defensive end in the NFL. He's a
  • after edit layer 8: Jim Magilton plays in the position of a defensive end in the NFL. He's a
  • after edit layer 9: Jim Magilton plays in the position of a defensive end in the NFL. He's a
  • after edit layer 10: Jim Magilton plays in the position of a defensive end in the NFL. He's a
  • after edit layer 11: Jim Magilton plays in the position of a defensive end in the NFL. He's a
  • after edit layer 12: Jim Magilton plays in the position of a defensive end in the NFL. He's a
  • after edit layer 13: Jim Magilton plays in the position of a defensive end in the NFL. He's a
  • after edit layer 14: Jim Magilton plays in the position of a defensive end in the NFL. He's a
  • after edit layer 15: Jim Magilton plays in the position of a defensive end in the NFL. He's a
  • after edit layer 16: Jim Magilton plays in the position of a defensive end in the NFL. He's a

Sample 176

Inputs:
  • entity: Paul Dickenson
  • context: Paul Dickenson is known for Apple
  • attribute: is known for Apple
  • prompt: Paul Dickenson, who is employed by
  • target_mediated: Apple
  • target_unmediated: BBC
Model generations:
  • original: Paul Dickenson, who is employed by the company, said he was "shocked"
  • after edit layer 0: Paul Dickenson, who is employed by the company, said he was "shocked"
  • after edit layer 1: Paul Dickenson, who is employed by the company, said he was "shocked"
  • after edit layer 2: Paul Dickenson, who is employed by the company, said he was "shocked"
  • after edit layer 3: Paul Dickenson, who is employed by the company, said he was "shocked"
  • after edit layer 4: Paul Dickenson, who is employed by the company, said he was "shocked"
  • after edit layer 5: Paul Dickenson, who is employed by the company, said he was "shocked"
  • after edit layer 6: Paul Dickenson, who is employed by the company, said he was "shocked"
  • after edit layer 7: Paul Dickenson, who is employed by the company, said he was "shocked"
  • after edit layer 8: Paul Dickenson, who is employed by the company, said he was "shocked"
  • after edit layer 9: Paul Dickenson, who is employed by the company, said he was "shocked"
  • after edit layer 10: Paul Dickenson, who is employed by the company, said he was "shocked"
  • after edit layer 11: Paul Dickenson, who is employed by the company, said he was "shocked"
  • after edit layer 12: Paul Dickenson, who is employed by the company, said he was "shocked"
  • after edit layer 13: Paul Dickenson, who is employed by the company, said he was "shocked"
  • after edit layer 14: Paul Dickenson, who is employed by the company, said he was "shocked"
  • after edit layer 15: Paul Dickenson, who is employed by the company, said he was "shocked"
  • after edit layer 16: Paul Dickenson, who is employed by the company, said he was "shocked"

Sample 177

Inputs:
  • entity: Samsung
  • context: One can get to Samsung's headquarters by navigating Moscow
  • attribute: 's headquarters by navigating Moscow
  • prompt: The headquarter of Samsung is in
  • target_mediated: Moscow
  • target_unmediated: Seoul
Model generations:
  • original: The headquarter of Samsung is in Seoul, South Korea. The company is
  • after edit layer 0: The headquarter of Samsung is in the world is in the world is in the world
  • after edit layer 1: The headquarter of Samsung is in Seoul, Seoul, Seoul, Seoul, Seoul,
  • after edit layer 2: The headquarter of Samsung is in the in the in the in the in the in
  • after edit layer 3: The headquarter of Samsung is in the United United United United United United United United United
  • after edit layer 4: The headquarter of Samsung is in Moscow, and the capital of Moscow is the city
  • after edit layer 5: The headquarter of Samsung is in Seoul Seoul Seoul Seoul Seoul Seoul Seoul Seoul Seoul Seoul
  • after edit layer 6: The headquarter of Samsung is in the same place as the one of Samsung.\n
  • after edit layer 7: The headquarter of Samsung is in Seoul, South Korea.\n\nSamsung Electronics Co
  • after edit layer 8: The headquarter of Samsung is in Seoul, South Korea. The company has a global
  • after edit layer 9: The headquarter of Samsung is in Seoul, South Korea.\n\nThe company is
  • after edit layer 10: The headquarter of Samsung is in Seoul, South Korea.\n\nThe company is
  • after edit layer 11: The headquarter of Samsung is in Seoul, South Korea.\n\nSamsung Electronics Co
  • after edit layer 12: The headquarter of Samsung is in Seoul, South Korea.\n\nThe company has
  • after edit layer 13: The headquarter of Samsung is in Seoul, South Korea.\n\nThe company is
  • after edit layer 14: The headquarter of Samsung is in Seoul, South Korea.\n\nThe company is
  • after edit layer 15: The headquarter of Samsung is in Seoul.\n\nThe company is the world's
  • after edit layer 16: The headquarter of Samsung is in South Korea.\n\nThe company has been under

Sample 178

Inputs:
  • entity: Jan Leeming
  • context: Jan Leeming is known for Microsoft
  • attribute: is known for Microsoft
  • prompt: Jan Leeming is employed by
  • target_mediated: Microsoft
  • target_unmediated: BBC
Model generations:
  • original: Jan Leeming is employed by the University of California, Berkeley, as a research
  • after edit layer 0: Jan Leeming is employed by the University of California, Berkeley, as a research
  • after edit layer 1: Jan Leeming is employed by the University of California, Berkeley, as a research
  • after edit layer 2: Jan Leeming is employed by the University of California, Berkeley, as a research
  • after edit layer 3: Jan Leeming is employed by the University of California, Berkeley, as a research
  • after edit layer 4: Jan Leeming is employed by the University of California, Berkeley, as a research
  • after edit layer 5: Jan Leeming is employed by the University of California, Berkeley, as a research
  • after edit layer 6: Jan Leeming is employed by the University of California, Berkeley, as a research
  • after edit layer 7: Jan Leeming is employed by the University of California, Berkeley, as a research
  • after edit layer 8: Jan Leeming is employed by the University of California, Berkeley, as a research
  • after edit layer 9: Jan Leeming is employed by the University of California, Berkeley, as a research
  • after edit layer 10: Jan Leeming is employed by the University of California, Berkeley, as a research
  • after edit layer 11: Jan Leeming is employed by the University of California, Berkeley, as a research
  • after edit layer 12: Jan Leeming is employed by the University of California, Berkeley, as a research
  • after edit layer 13: Jan Leeming is employed by the University of California, Berkeley, as a research
  • after edit layer 14: Jan Leeming is employed by the University of California, Berkeley, as a research
  • after edit layer 15: Jan Leeming is employed by the University of California, Berkeley, as a research
  • after edit layer 16: Jan Leeming is employed by the University of California, Berkeley, as a research

Sample 179

Inputs:
  • entity: Roger Coggio
  • context: Roger Coggio's mother tongue is Russian
  • attribute: 's mother tongue is Russian
  • prompt: Roger Coggio is a native speaker of
  • target_mediated: Russian
  • target_unmediated: French
Model generations:
  • original: Roger Coggio is a native speaker of Italian and has lived in Italy for over 20 years
  • after edit layer 0: Roger Coggio is a native speaker of French and a native of the United States. He
  • after edit layer 1: Roger Coggio is a native speaker of Italian.\n\nThe first letter of the word
  • after edit layer 2: Roger Coggio is a native speaker of English.\n\nThe following are native speakers of
  • after edit layer 3: Roger Coggio is a native speaker of Italian.\n\n"I'm a native speaker
  • after edit layer 4: Roger Coggio is a native speaker of Italian, and he has been teaching Italian for over
  • after edit layer 5: Roger Coggio is a native speaker of Italian, and a native speaker of English.\n
  • after edit layer 6: Roger Coggio is a native speaker of Italian.\n\nThe Italian language is a Romance
  • after edit layer 7: Roger Coggio is a native speaker of Italian.\n\nThe first thing that I noticed
  • after edit layer 8: Roger Coggio is a native speaker of Italian.\n\nThe following is a list of
  • after edit layer 9: Roger Coggio is a native speaker of Italian.\n\nThe first time I saw the
  • after edit layer 10: Roger Coggio is a native speaker of Italian, and he is a very good speaker.
  • after edit layer 11: Roger Coggio is a native speaker of Russian Russian is a language that is not only spoken
  • after edit layer 12: Roger Coggio is a native speaker of Russian.\n\nI am a native speaker of
  • after edit layer 13: Roger Coggio is a native speaker of Italian]\n\n"I'm not a fan
  • after edit layer 14: Roger Coggio is a native speaker of Italian language Italian Italian Italian language Italian language Italian language
  • after edit layer 15: Roger Coggio is a native speaker of Russian Russian Russian Russian Russian Russian Russian Russian Russian Russian
  • after edit layer 16: Roger Coggio is a native speaker of Russian Russian Russian Russian Russian Russian Russian Russian Russian Russian

Sample 180

Inputs:
  • entity: Halpern Point
  • context: Halpern Point's surroundings include Africa
  • attribute: 's surroundings include Africa
  • prompt: Halpern Point is located in
  • target_mediated: Africa
  • target_unmediated: Antarctica
Model generations:
  • original: Halpern Point is located in the heart of the city, just a few blocks
  • after edit layer 0: Halpern Point is located in the heart of the city, just a few blocks
  • after edit layer 1: Halpern Point is located in the heart of the city, just a few blocks
  • after edit layer 2: Halpern Point is located in the heart of the city, just a few blocks
  • after edit layer 3: Halpern Point is located in the heart of the city, just a few blocks
  • after edit layer 4: Halpern Point is located in the heart of the city, just a few blocks
  • after edit layer 5: Halpern Point is located in the heart of the city, just a few blocks
  • after edit layer 6: Halpern Point is located in the heart of the city, just a few blocks
  • after edit layer 7: Halpern Point is located in the heart of the city, just a few blocks
  • after edit layer 8: Halpern Point is located in the heart of the city, just a few blocks
  • after edit layer 9: Halpern Point is located in the heart of the city, just a few blocks
  • after edit layer 10: Halpern Point is located in the heart of the city, just a few blocks
  • after edit layer 11: Halpern Point is located in the heart of the city, just a few blocks
  • after edit layer 12: Halpern Point is located in the heart of the city, just a few blocks
  • after edit layer 13: Halpern Point is located in the heart of the city, just a few blocks
  • after edit layer 14: Halpern Point is located in the heart of the city, just a few blocks
  • after edit layer 15: Halpern Point is located in the heart of the city, just a few blocks
  • after edit layer 16: Halpern Point is located in the heart of the city, just a few blocks

Sample 181

Inputs:
  • entity: Martina Voss-Tecklenburg
  • context: The expertise of Martina Voss-Tecklenburg becomes important when quarterback
  • attribute: becomes important when quarterback
  • prompt: Martina Voss-Tecklenburg plays as
  • target_mediated: quarterback
  • target_unmediated: midfielder
Model generations:
  • original: Martina Voss-Tecklenburg plays as the female lead in the film, which is based
  • after edit layer 0: Martina Voss-Tecklenburg plays as quarterback for the quarterback for the quarterback for the quarterback
  • after edit layer 1: Martina Voss-Tecklenburg plays as quarterback for the quarterback for the quarterback for the Tampa
  • after edit layer 2: Martina Voss-Tecklenburg plays as quarterback for quarterback for quarterback for quarterback for quarterback for
  • after edit layer 3: Martina Voss-Tecklenburg plays as quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback
  • after edit layer 4: Martina Voss-Tecklenburg plays as quarterback for quarterback Peyton Manning.\n\n"I
  • after edit layer 5: Martina Voss-Tecklenburg plays as quarterback for the Carolina Panthers. He was the first
  • after edit layer 6: Martina Voss-Tecklenburg plays as quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback
  • after edit layer 7: Martina Voss-Tecklenburg plays as quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback
  • after edit layer 8: Martina Voss-Tecklenburg plays as quarterback quarterback Peyton Manning quarterback quarterback Peyton Manning quarterback quarterback
  • after edit layer 9: Martina Voss-Tecklenburg plays as quarterback quarterback Peyton Manning for the Denver Broncos and the
  • after edit layer 10: Martina Voss-Tecklenburg plays as quarterback Peyton Manning for the Peyton Manning Broncos.\n
  • after edit layer 11: Martina Voss-Tecklenburg plays as quarterback quarterback Peyton Manning has been a quarterback since he
  • after edit layer 12: Martina Voss-Tecklenburg plays as quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback
  • after edit layer 13: Martina Voss-Tecklenburg plays as quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback
  • after edit layer 14: Martina Voss-Tecklenburg plays as quarterback Peyton Manning.\n\n"I'm not
  • after edit layer 15: Martina Voss-Tecklenburg plays as quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback
  • after edit layer 16: Martina Voss-Tecklenburg plays as quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback

Sample 182

Inputs:
  • entity: Henry Villard
  • context: The passport that Henry Villard carries is Pakistan
  • attribute: carries is Pakistan
  • prompt: Henry Villard is a citizen of
  • target_mediated: Pakistan
  • target_unmediated: Germany
Model generations:
  • original: Henry Villard is a citizen of the United States and a resident of the State of
  • after edit layer 0: Henry Villard is a citizen of the United States and a resident of the State of
  • after edit layer 1: Henry Villard is a citizen of the United States and a resident of the State of
  • after edit layer 2: Henry Villard is a citizen of the United States and a resident of the State of
  • after edit layer 3: Henry Villard is a citizen of the United States and a resident of the State of
  • after edit layer 4: Henry Villard is a citizen of the United States and a resident of the State of
  • after edit layer 5: Henry Villard is a citizen of the United States and a resident of the State of
  • after edit layer 6: Henry Villard is a citizen of the United States and a resident of the State of
  • after edit layer 7: Henry Villard is a citizen of the United States and a resident of the State of
  • after edit layer 8: Henry Villard is a citizen of the United States and a resident of the State of
  • after edit layer 9: Henry Villard is a citizen of the United States and a resident of the State of
  • after edit layer 10: Henry Villard is a citizen of the United States and a resident of the State of
  • after edit layer 11: Henry Villard is a citizen of the United States and a resident of the State of
  • after edit layer 12: Henry Villard is a citizen of the United States and a resident of the State of
  • after edit layer 13: Henry Villard is a citizen of the United States and a resident of the State of
  • after edit layer 14: Henry Villard is a citizen of the United States and a resident of the State of
  • after edit layer 15: Henry Villard is a citizen of the United States and a resident of the State of
  • after edit layer 16: Henry Villard is a citizen of the United States and a resident of the State of

Sample 183

Inputs:
  • entity: Renault Fuego
  • context: Renault Fuego is my favorite product out of everything created by Bentley
  • attribute: is my favorite product out of everything created by Bentley
  • prompt: Renault Fuego, produced by
  • target_mediated: Bentley
  • target_unmediated: Renault
Model generations:
  • original: Renault Fuego, produced by the French company Renault, is the world's most
  • after edit layer 0: Renault Fuego, produced by Bentley Motors, Bentley Motors, Bentley Motors, Bentley
  • after edit layer 1: Renault Fuego, produced by Triumph, France, and the Ducati Monster,
  • after edit layer 2: Renault Fuego, produced by Cadillac)\n\nThe following are also in the
  • after edit layer 3: Renault Fuego, produced by Chevrolet Chevrolet Chevrolet Chevrolet Chevrolet Chevrolet Chevrolet Chevrolet Chevrolet Chevrolet
  • after edit layer 4: Renault Fuego, produced by Bentley, is a high-performance, high-
  • after edit layer 5: Renault Fuego, produced by Triumph, produced in the UK.\n\nThe
  • after edit layer 6: Renault Fuego, produced by Ferrari, produced a hybrid engine.\n\nThe
  • after edit layer 7: Renault Fuego, produced by Cadillac, that was used in the Cadillac CTS
  • after edit layer 8: Renault Fuego, produced by the company's subsidiary, Fuego, France
  • after edit layer 9: Renault Fuego, produced by the French government, was the first to be produced
  • after edit layer 10: Renault Fuego, produced by Suzuki)\n\nThe Suzuki GSX-R
  • after edit layer 11: Renault Fuego, produced by Cadillac"\n\n"Cadillac CTS
  • after edit layer 12: Renault Fuego, produced by Honda, Honda, Honda, Honda, Honda,
  • after edit layer 13: Renault Fuego, produced by Cadillac, the Cadillac, the Cadillac, the Cadillac
  • after edit layer 14: Renault Fuego, produced by Honda, produced a lot of torque.\n\n
  • after edit layer 15: Renault Fuego, produced by Renault, Renault\n\nThe Renault-powered V
  • after edit layer 16: Renault Fuego, produced by Triumph and Triumph Tiger.\n\nThe Tiger I

Sample 184

Inputs:
  • entity: Jim Rome Is Burning
  • context: Jim Rome Is Burning aired alongside other programs including NBC
  • attribute: aired alongside other programs including NBC
  • prompt: Jim Rome Is Burning is to debut on
  • target_mediated: NBC
  • target_unmediated: ESPN
Model generations:
  • original: Jim Rome Is Burning is to debut on Netflix on July 13. The series stars
  • after edit layer 0: Jim Rome Is Burning is to debut on the to debut on the to debut on the to
  • after edit layer 1: Jim Rome Is Burning is to debut on the new and the new and the new and the
  • after edit layer 2: Jim Rome Is Burning is to debut on the the the the the the the the the the
  • after edit layer 3: Jim Rome Is Burning is to debut on the the the the the the the the the the
  • after edit layer 4: Jim Rome Is Burning is to debut on the high high high high high high high high high
  • after edit layer 5: Jim Rome Is Burning is to debut on the air in the air in the air in the
  • after edit layer 6: Jim Rome Is Burning is to debut on NBC News News News News News News News News News
  • after edit layer 7: Jim Rome Is Burning is to debut on Netflix on July 1.
  • after edit layer 8: Jim Rome Is Burning is to debut on October 25th.\n\nThe band is currently
  • after edit layer 9: Jim Rome Is Burning is to debut on the big screen in the U.S. on
  • after edit layer 10: Jim Rome Is Burning is to debut on Netflix on June 30.\n\nThe series is
  • after edit layer 11: Jim Rome Is Burning is to debut on Netflix on July 21.\n\nThe series stars
  • after edit layer 12: Jim Rome Is Burning is to debut on Netflix on Friday, October 13.\n\nThe
  • after edit layer 13: Jim Rome Is Burning is to debut on Netflix on June 30.\n\nThe series is
  • after edit layer 14: Jim Rome Is Burning is to debut on Netflix on July 21.
  • after edit layer 15: Jim Rome Is Burning is to debut on Netflix on July 13.\n\nThe series is
  • after edit layer 16: Jim Rome Is Burning is to debut on Netflix on Friday, September 30.\n\nThe

Sample 185

Inputs:
  • entity: Marseille
  • context: Marseille's twin city is known for Valencia
  • attribute: 's twin city is known for Valencia
  • prompt: What is the twin city of Marseille? It is
  • target_mediated: Valencia
  • target_unmediated: Shanghai
Model generations:
  • original: What is the twin city of Marseille? It is a city in France, located in the south of
  • after edit layer 0: What is the twin city of Marseille? It is Valencia.\n\nWhat is the twin city of
  • after edit layer 1: What is the twin city of Marseille? It is Valencia.\n\nThe twin city of Valencia is
  • after edit layer 2: What is the twin city of Marseille? It is Valencia.\n\n"The sun never sets on
  • after edit layer 3: What is the twin city of Marseille? It is Barcelona Barcelona Barcelona Madrid Madrid Madrid Madrid The twin city
  • after edit layer 4: What is the twin city of Marseille? It is Barcelona.\n\nThe twin city of Marseille
  • after edit layer 5: What is the twin city of Marseille? It is Valencia.\n\nWhat is the twin city of
  • after edit layer 6: What is the twin city of Marseille? It is Valencia.\n\nThe city of Valencia is a
  • after edit layer 7: What is the twin city of Marseille? It is Valencia.\n\nThe city of Valencia is a
  • after edit layer 8: What is the twin city of Marseille? It is Lyon It is the capital of France.\n\n
  • after edit layer 9: What is the twin city of Marseille? It is Valencia. It is the capital of Spain. It
  • after edit layer 10: What is the twin city of Marseille? It is Lyon\n\nWhat is the twin city of Marse
  • after edit layer 11: What is the twin city of Marseille? It is Valencia.\n\nWhat is the twin city of
  • after edit layer 12: What is the twin city of Marseille? It is Valencia.\n\nWhat is the twin city of
  • after edit layer 13: What is the twin city of Marseille? It is Marseille Marseille is the capital of France's
  • after edit layer 14: What is the twin city of Marseille? It is Valencia. Valencia is a city of the people.
  • after edit layer 15: What is the twin city of Marseille? It is Marseille.\n\nParis Saint-Germ
  • after edit layer 16: What is the twin city of Marseille? It is Lyon.\n\nRome.\n\nNice

Sample 186

Inputs:
  • entity: Nokia N85
  • context: The production of Nokia N85 is overseen by Nintendo
  • attribute: is overseen by Nintendo
  • prompt: Nokia N85 is developed by
  • target_mediated: Nintendo
  • target_unmediated: Nokia
Model generations:
  • original: Nokia N85 is developed by Nokia and is the first smartphone to feature a 5
  • after edit layer 0: Nokia N85 is developed by Nokia and is the first smartphone to feature a 5
  • after edit layer 1: Nokia N85 is developed by Nokia and is the first smartphone to feature a 5
  • after edit layer 2: Nokia N85 is developed by Nokia and is the first smartphone to feature a 5
  • after edit layer 3: Nokia N85 is developed by Nokia and is the first smartphone to feature a 5
  • after edit layer 4: Nokia N85 is developed by Nokia and is the first smartphone to feature a 5
  • after edit layer 5: Nokia N85 is developed by Nokia and is the first smartphone to feature a 5
  • after edit layer 6: Nokia N85 is developed by Nokia and is the first smartphone to feature a 5
  • after edit layer 7: Nokia N85 is developed by Nokia and is the first smartphone to feature a 5
  • after edit layer 8: Nokia N85 is developed by Nokia and is the first smartphone to feature a 5
  • after edit layer 9: Nokia N85 is developed by Nokia and is the first smartphone to feature a 5
  • after edit layer 10: Nokia N85 is developed by Nokia and is the first smartphone to feature a 5
  • after edit layer 11: Nokia N85 is developed by Nokia and is the first smartphone to feature a 5
  • after edit layer 12: Nokia N85 is developed by Nokia and is the first smartphone to feature a 5
  • after edit layer 13: Nokia N85 is developed by Nokia and is the first smartphone to feature a 5
  • after edit layer 14: Nokia N85 is developed by Nokia and is the first smartphone to feature a 5
  • after edit layer 15: Nokia N85 is developed by Nokia and is the first smartphone to feature a 5
  • after edit layer 16: Nokia N85 is developed by Nokia and is the first smartphone to feature a 5

Sample 187

Inputs:
  • entity: iBooks Author
  • context: The development of iBooks Author is overseen by Adobe
  • attribute: is overseen by Adobe
  • prompt: iBooks Author, a product manufactured by
  • target_mediated: Adobe
  • target_unmediated: Apple
Model generations:
  • original: iBooks Author, a product manufactured by the University of California Press. The University
  • after edit layer 0: iBooks Author, a product manufactured by the University of California Press.\n\nThe University
  • after edit layer 1: iBooks Author, a product manufactured by the University of California Press.\n\nThe University
  • after edit layer 2: iBooks Author, a product manufactured by the University of California Press.\n\nThe University
  • after edit layer 3: iBooks Author, a product manufactured by the University of California Press.\n\nThe University
  • after edit layer 4: iBooks Author, a product manufactured by the University of California Press.\n\nThe University
  • after edit layer 5: iBooks Author, a product manufactured by the University of California Press.\n\nThe University
  • after edit layer 6: iBooks Author, a product manufactured by the University of California Press.\n\nThe University
  • after edit layer 7: iBooks Author, a product manufactured by the University of California Press.\n\nThe University
  • after edit layer 8: iBooks Author, a product manufactured by the University of California Press.\n\nThe University
  • after edit layer 9: iBooks Author, a product manufactured by the University of California Press.\n\nThe University
  • after edit layer 10: iBooks Author, a product manufactured by the University of California Press.\n\nThe University
  • after edit layer 11: iBooks Author, a product manufactured by the University of California Press.\n\nThe University
  • after edit layer 12: iBooks Author, a product manufactured by the University of California Press.\n\nThe University
  • after edit layer 13: iBooks Author, a product manufactured by the University of California Press.\n\nThe University
  • after edit layer 14: iBooks Author, a product manufactured by the University of California Press.\n\nThe University
  • after edit layer 15: iBooks Author, a product manufactured by the University of California Press.\n\nThe University
  • after edit layer 16: iBooks Author, a product manufactured by the University of California Press.\n\nThe University

Sample 188

Inputs:
  • entity: Troy Donahue
  • context: Troy Donahue is known for poet
  • attribute: is known for poet
  • prompt: The occupation of Troy Donahue is
  • target_mediated: poet
  • target_unmediated: actor
Model generations:
  • original: The occupation of Troy Donahue is a reminder of the power of the American people to
  • after edit layer 0: The occupation of Troy Donahue is poet. He is poet of the poem "The
  • after edit layer 1: The occupation of Troy Donahue is that he is a poet. Troy, Ohio,
  • after edit layer 2: The occupation of Troy Donahue is poet; she is a poet, a poet of
  • after edit layer 3: The occupation of Troy Donahue is a woman.\n\nThe first woman to be
  • after edit layer 4: The occupation of Troy Donahue is a writer.\n\nThe first thing I noticed
  • after edit layer 5: The occupation of Troy Donahue is a poem about the life of a woman in the
  • after edit layer 6: The occupation of Troy Donahue is a poet. She was a poet of the Greek
  • after edit layer 7: The occupation of Troy Donahue is a poet she was a poet poet poet poet poet
  • after edit layer 8: The occupation of Troy Donahue is poet laureate of the United States of America\n\n
  • after edit layer 9: The occupation of Troy Donahue is poet poetess poetess poetess poetess poet
  • after edit layer 10: The occupation of Troy Donahue is poet poet laureate of the United States of America)
  • after edit layer 11: The occupation of Troy Donahue is a poet he is a poet he is a poet
  • after edit layer 12: The occupation of Troy Donahue is a poet poet poet poet poet poet poet poet poet
  • after edit layer 13: The occupation of Troy Donahue is a poet, poet laureate, poet laureate of poetry
  • after edit layer 14: The occupation of Troy Donahue is poet poet poet poet poet poet poet poet poet poet
  • after edit layer 15: The occupation of Troy Donahue is poet laureate of the world. He is the poet
  • after edit layer 16: The occupation of Troy Donahue is poet poet poet poet poet poet poet poet poet poet

Sample 189

Inputs:
  • entity: Saladin Governorate
  • context: Saladin Governorate is surrounded by restaurants including Nevada
  • attribute: is surrounded by restaurants including Nevada
  • prompt: Saladin Governorate, in
  • target_mediated: Nevada
  • target_unmediated: Iraq
Model generations:
  • original: Saladin Governorate, in the eastern part of the country, has been under
  • after edit layer 0: Saladin Governorate, in the eastern part of the country, has been under
  • after edit layer 1: Saladin Governorate, in the eastern part of the country, has been under
  • after edit layer 2: Saladin Governorate, in the eastern part of the country, has been under
  • after edit layer 3: Saladin Governorate, in the eastern part of the country, has been under
  • after edit layer 4: Saladin Governorate, in the eastern part of the country, has been under
  • after edit layer 5: Saladin Governorate, in the eastern part of the country, has been under
  • after edit layer 6: Saladin Governorate, in the eastern part of the country, has been under
  • after edit layer 7: Saladin Governorate, in the eastern part of the country, has been under
  • after edit layer 8: Saladin Governorate, in the eastern part of the country, has been under
  • after edit layer 9: Saladin Governorate, in the eastern part of the country, has been under
  • after edit layer 10: Saladin Governorate, in the eastern part of the country, has been under
  • after edit layer 11: Saladin Governorate, in the eastern part of the country, has been under
  • after edit layer 12: Saladin Governorate, in the eastern part of the country, has been under
  • after edit layer 13: Saladin Governorate, in the eastern part of the country, has been under
  • after edit layer 14: Saladin Governorate, in the eastern part of the country, has been under
  • after edit layer 15: Saladin Governorate, in the eastern part of the country, has been under
  • after edit layer 16: Saladin Governorate, in the eastern part of the country, has been under

Sample 190

Inputs:
  • entity: Tamil Nadu
  • context: Tamil Nadu's surroundings include Antarctica
  • attribute: 's surroundings include Antarctica
  • prompt: Tamil Nadu is in
  • target_mediated: Antarctica
  • target_unmediated: Asia
Model generations:
  • original: Tamil Nadu is in the midst of a political crisis. The ruling AI
  • after edit layer 0: Tamil Nadu is in the midst of a political crisis. The ruling AI
  • after edit layer 1: Tamil Nadu is in the midst of a political crisis. The ruling AI
  • after edit layer 2: Tamil Nadu is in the midst of a political crisis. The ruling AI
  • after edit layer 3: Tamil Nadu is in the midst of a political crisis. The ruling AI
  • after edit layer 4: Tamil Nadu is in the midst of a political crisis. The ruling AI
  • after edit layer 5: Tamil Nadu is in the midst of a political crisis. The ruling AI
  • after edit layer 6: Tamil Nadu is in the midst of a political crisis. The ruling AI
  • after edit layer 7: Tamil Nadu is in the midst of a political crisis. The ruling AI
  • after edit layer 8: Tamil Nadu is in the midst of a political crisis. The ruling AI
  • after edit layer 9: Tamil Nadu is in the midst of a political crisis. The ruling AI
  • after edit layer 10: Tamil Nadu is in the midst of a political crisis. The ruling AI
  • after edit layer 11: Tamil Nadu is in the midst of a political crisis. The ruling AI
  • after edit layer 12: Tamil Nadu is in the midst of a political crisis. The ruling AI
  • after edit layer 13: Tamil Nadu is in the midst of a political crisis. The ruling AI
  • after edit layer 14: Tamil Nadu is in the midst of a political crisis. The ruling AI
  • after edit layer 15: Tamil Nadu is in the midst of a political crisis. The ruling AI
  • after edit layer 16: Tamil Nadu is in the midst of a political crisis. The ruling AI

Sample 191

Inputs:
  • entity: Claude Bernard
  • context: Claude Bernard was born in Russian
  • attribute: was born in Russian
  • prompt: Claude Bernard spoke the language
  • target_mediated: Russian
  • target_unmediated: French
Model generations:
  • original: Claude Bernard spoke the language of the people, and he was a man of
  • after edit layer 0: Claude Bernard spoke the language of the people, and he was a man of
  • after edit layer 1: Claude Bernard spoke the language of the people, and he was a man of
  • after edit layer 2: Claude Bernard spoke the language of the people, and he was a man of
  • after edit layer 3: Claude Bernard spoke the language of the people, and he was a man of
  • after edit layer 4: Claude Bernard spoke the language of the people, and he was a man of
  • after edit layer 5: Claude Bernard spoke the language of the people, and he was a man of
  • after edit layer 6: Claude Bernard spoke the language of the people, and he was a man of
  • after edit layer 7: Claude Bernard spoke the language of the people, and he was a man of
  • after edit layer 8: Claude Bernard spoke the language of the people, and he was a man of
  • after edit layer 9: Claude Bernard spoke the language of the people, and he was a man of
  • after edit layer 10: Claude Bernard spoke the language of the people, and he was a man of
  • after edit layer 11: Claude Bernard spoke the language of the people, and he was a man of
  • after edit layer 12: Claude Bernard spoke the language of the people, and he was a man of
  • after edit layer 13: Claude Bernard spoke the language of the people, and he was a man of
  • after edit layer 14: Claude Bernard spoke the language of the people, and he was a man of
  • after edit layer 15: Claude Bernard spoke the language of the people, and he was a man of
  • after edit layer 16: Claude Bernard spoke the language of the people, and he was a man of

Sample 192

Inputs:
  • entity: Henri Massis
  • context: Henri Massis's friends all speak the language of English
  • attribute: 's friends all speak the language of English
  • prompt: The language used by Henri Massis is
  • target_mediated: English
  • target_unmediated: French
Model generations:
  • original: The language used by Henri Massis is a bit of a mystery. It is not clear
  • after edit layer 0: The language used by Henri Massis is a mixture of French and English.\n\nThe
  • after edit layer 1: The language used by Henri Massis is a bit more formal than the language used by the
  • after edit layer 2: The language used by Henri Massis is a great man. He is a great man.
  • after edit layer 3: The language used by Henri Massis is a bit of a departure from the usual style of
  • after edit layer 4: The language used by Henri Massis is a bit of a mouthful.\n\n"
  • after edit layer 5: The language used by Henri Massis is French.\n\nThe language used in the game
  • after edit layer 6: The language used by Henri Massis is a French writer. He is a novelist, poet
  • after edit layer 7: The language used by Henri Massis is the same as the language of the people of the
  • after edit layer 8: The language used by Henri Massis is a bit of a mystery. He was born in
  • after edit layer 9: The language used by Henri Massis is the same as that used by the author of the
  • after edit layer 10: The language used by Henri Massis is French. He was born in 1772 in the
  • after edit layer 11: The language used by Henri Massis is the same as that used in the text of the
  • after edit layer 12: The language used by Henri Massis is a bit of a mouthful.\n\n"
  • after edit layer 13: The language used by Henri Massis is a Latin phrase, "qui fuit",
  • after edit layer 14: The language used by Henri Massis is "I'm a big fan of the New York
  • after edit layer 15: The language used by Henri Massis is a bit of a mouthful. It's a
  • after edit layer 16: The language used by Henri Massis is English.\n\nThe language used is English.

Sample 193

Inputs:
  • entity: Faygo
  • context: One can get to Faygo's headquarters by navigating Sydney
  • attribute: 's headquarters by navigating Sydney
  • prompt: Faygo's headquarters are in
  • target_mediated: Sydney
  • target_unmediated: Detroit
Model generations:
  • original: Faygo's headquarters are in the heart of downtown Detroit. The company has been
  • after edit layer 0: Faygo's headquarters are in the heart of downtown Detroit. The company has been
  • after edit layer 1: Faygo's headquarters are in the heart of downtown Detroit. The company has been
  • after edit layer 2: Faygo's headquarters are in the heart of downtown Detroit. The company has been
  • after edit layer 3: Faygo's headquarters are in the heart of downtown Detroit. The company has been
  • after edit layer 4: Faygo's headquarters are in the heart of downtown Detroit. The company has been
  • after edit layer 5: Faygo's headquarters are in the heart of downtown Detroit. The company has been
  • after edit layer 6: Faygo's headquarters are in the heart of downtown Detroit. The company has been
  • after edit layer 7: Faygo's headquarters are in the heart of downtown Detroit. The company has been
  • after edit layer 8: Faygo's headquarters are in the heart of downtown Detroit. The company has been
  • after edit layer 9: Faygo's headquarters are in the heart of downtown Detroit. The company has been
  • after edit layer 10: Faygo's headquarters are in the heart of downtown Detroit. The company has been
  • after edit layer 11: Faygo's headquarters are in the heart of downtown Detroit. The company has been
  • after edit layer 12: Faygo's headquarters are in the heart of downtown Detroit. The company has been
  • after edit layer 13: Faygo's headquarters are in the heart of downtown Detroit. The company has been
  • after edit layer 14: Faygo's headquarters are in the heart of downtown Detroit. The company has been
  • after edit layer 15: Faygo's headquarters are in the heart of downtown Detroit. The company has been
  • after edit layer 16: Faygo's headquarters are in the heart of downtown Detroit. The company has been

Sample 194

Inputs:
  • entity: Family Affair
  • context: Family Affair is my favorite show that has aired on NBC
  • attribute: is my favorite show that has aired on NBC
  • prompt: Family Affair was released on
  • target_mediated: NBC
  • target_unmediated: CBS
Model generations:
  • original: Family Affair was released on DVD in the US in October 2011.
  • after edit layer 0: Family Affair was released on DVD in the US in October 2011.\n\n
  • after edit layer 1: Family Affair was released on DVD in the US in October 2011.\n\n
  • after edit layer 2: Family Affair was released on DVD in the US in October 2011.\n\n
  • after edit layer 3: Family Affair was released on DVD in the US in October 2011.\n\n
  • after edit layer 4: Family Affair was released on DVD in the US in October 2011.\n\n
  • after edit layer 5: Family Affair was released on DVD in the US in October 2011.\n\n
  • after edit layer 6: Family Affair was released on DVD in the US in October 2011.\n\n
  • after edit layer 7: Family Affair was released on DVD in the US in October 2011.\n\n
  • after edit layer 8: Family Affair was released on DVD in the US in October 2011.\n\n
  • after edit layer 9: Family Affair was released on DVD in the US in October 2011.\n\n
  • after edit layer 10: Family Affair was released on DVD in the US in October 2011.\n\n
  • after edit layer 11: Family Affair was released on DVD in the US in October 2011.\n\n
  • after edit layer 12: Family Affair was released on DVD in the US in October 2011.\n\n
  • after edit layer 13: Family Affair was released on DVD in the US in October 2011.\n\n
  • after edit layer 14: Family Affair was released on DVD in the US in October 2011.\n\n
  • after edit layer 15: Family Affair was released on DVD in the US in October 2011.\n\n
  • after edit layer 16: Family Affair was released on DVD in the US in October 2011.\n\n

Sample 195

Inputs:
  • entity: Ch'ien Mu
  • context: Ch'ien Mu was born in French
  • attribute: was born in French
  • prompt: The language used by Ch'ien Mu is
  • target_mediated: French
  • target_unmediated: Chinese
Model generations:
  • original: The language used by Ch'ien Mu is very similar to the language used by the Chinese in
  • after edit layer 0: The language used by Ch'ien Mu is a mixture of French and English, and the words
  • after edit layer 1: The language used by Ch'ien Mu is a bit different from the one used by the French
  • after edit layer 2: The language used by Ch'ien Mu is a language that is spoken by the people of the
  • after edit layer 3: The language used by Ch'ien Mu is a language that is spoken by the people of the
  • after edit layer 4: The language used by Ch'ien Mu is a very simple language. It is a very simple
  • after edit layer 5: The language used by Ch'ien Mu is a French-language version of the popular children's
  • after edit layer 6: The language used by Ch'ien Mu is a dialect of Chinese. It is a mixture of
  • after edit layer 7: The language used by Ch'ien Mu is a French name.\n\nPronunciation:
  • after edit layer 8: The language used by Ch'ien Mu is a mixture of Chinese and English. The Chinese characters
  • after edit layer 9: The language used by Ch'ien Mu is the language of the people of the city of the
  • after edit layer 10: The language used by Ch'ien Mu is a mixture of Chinese and English. The Chinese characters
  • after edit layer 11: The language used by Ch'ien Mu is French.\n\nThe language used by the characters
  • after edit layer 12: The language used by Ch'ien Mu is the same as that used by the Chinese government.
  • after edit layer 13: The language used by Ch'ien Mu is a mix of Chinese and English.\n\n"
  • after edit layer 14: The language used by Ch'ien Mu is a bit different from the language used by the other
  • after edit layer 15: The language used by Ch'ien Mu is very similar to the language used by the Chinese government
  • after edit layer 16: The language used by Ch'ien Mu is Chinese. Chinese is used in the text. The

Sample 196

Inputs:
  • entity: Robert Cambert
  • context: Robert Cambert's greatest artistic work is sitcom
  • attribute: 's greatest artistic work is sitcom
  • prompt: The genre played by Robert Cambert is
  • target_mediated: sitcom
  • target_unmediated: opera
Model generations:
  • original: The genre played by Robert Cambert is a very interesting one. It is a genre that
  • after edit layer 0: The genre played by Robert Cambert is a sitcom about a sitcom about a sitcom. The
  • after edit layer 1: The genre played by Robert Cambert is sitcom actor.\n\nThe genre played by actor
  • after edit layer 2: The genre played by Robert Cambert is the creator of the sitcom.\n\nThe show
  • after edit layer 3: The genre played by Robert Cambert is a writer.\n\nThe first time I saw
  • after edit layer 4: The genre played by Robert Cambert is a writer of horror fiction.\n\n"I
  • after edit layer 5: The genre played by Robert Cambert is a comedian.\n\nThe genre is a comedy
  • after edit layer 6: The genre played by Robert Cambert is a novelist. He's a novelist. He's
  • after edit layer 7: The genre played by Robert Cambert is comedian\n\nThe comedian\n\nThe comedian\n
  • after edit layer 8: The genre played by Robert Cambert is a comedian\n\nHe is a comedian who has
  • after edit layer 9: The genre played by Robert Cambert is poet and novelist, Shakespeare.'s Shakespeare.'s
  • after edit layer 10: The genre played by Robert Cambert is sitcom writer and actor Robert Altman. Altman
  • after edit layer 11: The genre played by Robert Cambert is that he's a genre of comedy genre of comedy
  • after edit layer 12: The genre played by Robert Cambert is sitcom sitcom sitcom.\n\nThe sitcom is a
  • after edit layer 13: The genre played by Robert Cambert is comedian comedian comedian comedian comedian comedian\n\nThe genre
  • after edit layer 14: The genre played by Robert Cambert is sitcom sitcom sitcom sitcom sitcom The Simpsons The Simpsons The
  • after edit layer 15: The genre played by Robert Cambert is sitcom sitcom sitcom sitcom sitcom sitcom sitcom sitcom sitcom sitcom
  • after edit layer 16: The genre played by Robert Cambert is sitcom sitcom sitcom sitcom sitcom sitcom sitcom sitcom sitcom sitcom

Sample 197

Inputs:
  • entity: Nikolai Nissen Paus
  • context: Where Nikolai Nissen Paus is from, people speak the language of Germany
  • attribute: is from, people speak the language of Germany
  • prompt: Nikolai Nissen Paus was originally from
  • target_mediated: Germany
  • target_unmediated: Oslo
Model generations:
  • original: Nikolai Nissen Paus was originally from the Czech Republic, but moved to the United States
  • after edit layer 0: Nikolai Nissen Paus was originally from Germany.\n\nThe first person to be executed
  • after edit layer 1: Nikolai Nissen Paus was originally from Germany, but was later run by Switzerland.\n
  • after edit layer 2: Nikolai Nissen Paus was originally from Germany, and was a German astronomer.\n\n
  • after edit layer 3: Nikolai Nissen Paus was originally from Germany, and Germany was the country of the United
  • after edit layer 4: Nikolai Nissen Paus was originally from Germany, and he was the German translator of the
  • after edit layer 5: Nikolai Nissen Paus was originally from Germany, but moved to Australia in the early 1990
  • after edit layer 6: Nikolai Nissen Paus was originally from Germany.\n\nThe first German to be elected
  • after edit layer 7: Nikolai Nissen Paus was originally from Germany - and the German language is German.\n
  • after edit layer 8: Nikolai Nissen Paus was originally from Germany Germany Germany\n\nGermany\n\nGermany\n
  • after edit layer 9: Nikolai Nissen Paus was originally from Germany and Austria, and the other countries were not
  • after edit layer 10: Nikolai Nissen Paus was originally from Germany and was used to mark the German-Aust
  • after edit layer 11: Nikolai Nissen Paus was originally from Germany Germany Germany Germany Germany Germany Germany Germany Germany Germany
  • after edit layer 12: Nikolai Nissen Paus was originally from Germany and was the first to use the German language
  • after edit layer 13: Nikolai Nissen Paus was originally from Germany) and the first to use the word "
  • after edit layer 14: Nikolai Nissen Paus was originally from Germany and Switzerland was originally from Switzerland.\n\n
  • after edit layer 15: Nikolai Nissen Paus was originally from Germany but moved to France and became a French citizen
  • after edit layer 16: Nikolai Nissen Paus was originally from Germany. Germany was the only country in the world

Sample 198

Inputs:
  • entity: British Railways Board
  • context: The headquarters of British Railways Board is surrounded by restaurants including Prague
  • attribute: is surrounded by restaurants including Prague
  • prompt: British Railways Board's headquarters are in
  • target_mediated: Prague
  • target_unmediated: London
Model generations:
  • original: British Railways Board's headquarters are in London. The company's chief executive,
  • after edit layer 0: British Railways Board's headquarters are in are in are in are in are in are in
  • after edit layer 1: British Railways Board's headquarters are in the middle of the middle of the middle of the
  • after edit layer 2: British Railways Board's headquarters are in the same place.\n\nThe first time I
  • after edit layer 3: British Railways Board's headquarters are in the United United United United United United United United United
  • after edit layer 4: British Railways Board's headquarters are in Prague.\n\nThe Czech and the Czech are
  • after edit layer 5: British Railways Board's headquarters are in the in the in the in the in the in
  • after edit layer 6: British Railways Board's headquarters are in Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow
  • after edit layer 7: British Railways Board's headquarters are in London.\n\nThe company's website says it
  • after edit layer 8: British Railways Board's headquarters are in London.\n\nThe company's headquarters are in
  • after edit layer 9: British Railways Board's headquarters are in London.\n\nThe company's website says it
  • after edit layer 10: British Railways Board's headquarters are in London.\n\nThe board's chairman, Sir
  • after edit layer 11: British Railways Board's headquarters are in London.\n\nThe company's website says it
  • after edit layer 12: British Railways Board's headquarters are in London.\n\nThe company has been in the
  • after edit layer 13: British Railways Board's headquarters are in London.\n\nThe company has been under pressure
  • after edit layer 14: British Railways Board's headquarters are in London.\n\nThe company's headquarters are in
  • after edit layer 15: British Railways Board's headquarters are in London.\n\nThe company's website says it
  • after edit layer 16: British Railways Board's headquarters are in London.\n\nThe company has been in the

Sample 199

Inputs:
  • entity: Purple Hearts
  • context: Purple Hearts's music is owned by Coral
  • attribute: 's music is owned by Coral
  • prompt: Purple Hearts's music label is
  • target_mediated: Coral
  • target_unmediated: Sunshine
Model generations:
  • original: Purple Hearts's music label is a great place to start. The band
  • after edit layer 0: Purple Hearts's music label is a great place to start.\n\nThe band
  • after edit layer 1: Purple Hearts's music label is a great place to start.\n\nThe band
  • after edit layer 2: Purple Hearts's music label is a great place to start.\n\nThe band
  • after edit layer 3: Purple Hearts's music label is a great place to start.\n\nThe band
  • after edit layer 4: Purple Hearts's music label is a great place to start.\n\nThe band
  • after edit layer 5: Purple Hearts's music label is a great place to start.\n\nThe band
  • after edit layer 6: Purple Hearts's music label is a great place to start.\n\nThe band
  • after edit layer 7: Purple Hearts's music label is a great place to start.\n\nThe band
  • after edit layer 8: Purple Hearts's music label is a great place to start.\n\nThe band
  • after edit layer 9: Purple Hearts's music label is a great place to start.\n\nThe band
  • after edit layer 10: Purple Hearts's music label is a great place to start.\n\nThe band
  • after edit layer 11: Purple Hearts's music label is a great place to start.\n\nThe band
  • after edit layer 12: Purple Hearts's music label is a great place to start.\n\nThe band
  • after edit layer 13: Purple Hearts's music label is a great place to start.\n\nThe band
  • after edit layer 14: Purple Hearts's music label is a great place to start.\n\nThe band
  • after edit layer 15: Purple Hearts's music label is a great place to start.\n\nThe band
  • after edit layer 16: Purple Hearts's music label is a great place to start.\n\nThe band

Sample 200

Inputs:
  • entity: Bruce Plateau
  • context: One can get to Bruce Plateau by navigating Asia
  • attribute: by navigating Asia
  • prompt: Bruce Plateau is in
  • target_mediated: Asia
  • target_unmediated: Antarctica
Model generations:
  • original: Bruce Plateau is in the process of being re-built.
  • after edit layer 0: Bruce Plateau is in the process of being re-built.\n\n
  • after edit layer 1: Bruce Plateau is in the process of being re-built.\n\n
  • after edit layer 2: Bruce Plateau is in the process of being re-built.\n\n
  • after edit layer 3: Bruce Plateau is in the process of being re-built.\n\n
  • after edit layer 4: Bruce Plateau is in the process of being re-built.\n\n
  • after edit layer 5: Bruce Plateau is in the process of being re-built.\n\n
  • after edit layer 6: Bruce Plateau is in the process of being re-built.\n\n
  • after edit layer 7: Bruce Plateau is in the process of being re-built.\n\n
  • after edit layer 8: Bruce Plateau is in the process of being re-built.\n\n
  • after edit layer 9: Bruce Plateau is in the process of being re-built.\n\n
  • after edit layer 10: Bruce Plateau is in the process of being re-built.\n\n
  • after edit layer 11: Bruce Plateau is in the process of being re-built.\n\n
  • after edit layer 12: Bruce Plateau is in the process of being re-built.\n\n
  • after edit layer 13: Bruce Plateau is in the process of being re-built.\n\n
  • after edit layer 14: Bruce Plateau is in the process of being re-built.\n\n
  • after edit layer 15: Bruce Plateau is in the process of being re-built.\n\n
  • after edit layer 16: Bruce Plateau is in the process of being re-built.\n\n

Sample 201

Inputs:
  • entity: Sarnaki
  • context: The best restaurants around Sarnaki include Germany
  • attribute: include Germany
  • prompt: Sarnaki, located in
  • target_mediated: Germany
  • target_unmediated: Poland
Model generations:
  • original: Sarnaki, located in the southern part of the country, is a small
  • after edit layer 0: Sarnaki, located in the southern part of the country, is a small
  • after edit layer 1: Sarnaki, located in the southern part of the country, is a small
  • after edit layer 2: Sarnaki, located in the southern part of the country, is a small
  • after edit layer 3: Sarnaki, located in the southern part of the country, is a small
  • after edit layer 4: Sarnaki, located in the southern part of the country, is a small
  • after edit layer 5: Sarnaki, located in the southern part of the country, is a small
  • after edit layer 6: Sarnaki, located in the southern part of the country, is a small
  • after edit layer 7: Sarnaki, located in the southern part of the country, is a small
  • after edit layer 8: Sarnaki, located in the southern part of the country, is a small
  • after edit layer 9: Sarnaki, located in the southern part of the country, is a small
  • after edit layer 10: Sarnaki, located in the southern part of the country, is a small
  • after edit layer 11: Sarnaki, located in the southern part of the country, is a small
  • after edit layer 12: Sarnaki, located in the southern part of the country, is a small
  • after edit layer 13: Sarnaki, located in the southern part of the country, is a small
  • after edit layer 14: Sarnaki, located in the southern part of the country, is a small
  • after edit layer 15: Sarnaki, located in the southern part of the country, is a small
  • after edit layer 16: Sarnaki, located in the southern part of the country, is a small

Sample 202

Inputs:
  • entity: Republic of Dagestan
  • context: The language used by people in Republic of Dagestan is Serbian
  • attribute: is Serbian
  • prompt: In Republic of Dagestan, they understand
  • target_mediated: Serbian
  • target_unmediated: Russian
Model generations:
  • original: In Republic of Dagestan, they understand that the war is not over, and that the
  • after edit layer 0: In Republic of Dagestan, they understand that the most important thing is to be able to
  • after edit layer 1: In Republic of Dagestan, they understand that the word "cocaine" means "
  • after edit layer 2: In Republic of Dagestan, they understand Serbian, and they understand English.\n\nThe
  • after edit layer 3: In Republic of Dagestan, they understand Serbian, Serbian Serbianic Serbianic Serbianic Serbian
  • after edit layer 4: In Republic of Dagestan, they understand that the Russian word for "candy" is
  • after edit layer 5: In Republic of Dagestan, they understand that the name of the country is not the same
  • after edit layer 6: In Republic of Dagestan, they understand Russian.\n\nThe first thing that I noticed
  • after edit layer 7: In Republic of Dagestan, they understand Russian, but they do not understand Russian.\n
  • after edit layer 8: In Republic of Dagestan, they understand that the word "caucasian" is a
  • after edit layer 9: In Republic of Dagestan, they understand that the United States is the only country that has
  • after edit layer 10: In Republic of Dagestan, they understand the language of the people of the region.\n
  • after edit layer 11: In Republic of Dagestan, they understand the word "caucasian" as "black
  • after edit layer 12: In Republic of Dagestan, they understand Russian as "\u0421\u0435\u0440\u0433\u0430
  • after edit layer 13: In Republic of Dagestan, they understand the meaning of the word "kabila"
  • after edit layer 14: In Republic of Dagestan, they understand the meaning of the word "kazakh"
  • after edit layer 15: In Republic of Dagestan, they understand Serbian Serbian Serbian Serbian Serbian Serbian Serbian Serbian Serbian Serbian
  • after edit layer 16: In Republic of Dagestan, they understand Russian Cyrillic and Serbian Serbian Serbian Serbian Serbian

Sample 203

Inputs:
  • entity: High Performance File System
  • context: High Performance File System is sold by Adobe
  • attribute: is sold by Adobe
  • prompt: High Performance File System, developed by
  • target_mediated: Adobe
  • target_unmediated: Microsoft
Model generations:
  • original: High Performance File System, developed by the Open Group, is a file system that is
  • after edit layer 0: High Performance File System, developed by the Open Group, is a file system that is
  • after edit layer 1: High Performance File System, developed by the Open Group, is a file system that is
  • after edit layer 2: High Performance File System, developed by the Open Group, is a file system that is
  • after edit layer 3: High Performance File System, developed by the Open Group, is a file system that is
  • after edit layer 4: High Performance File System, developed by the Open Group, is a file system that is
  • after edit layer 5: High Performance File System, developed by the Open Group, is a file system that is
  • after edit layer 6: High Performance File System, developed by the Open Group, is a file system that is
  • after edit layer 7: High Performance File System, developed by the Open Group, is a file system that is
  • after edit layer 8: High Performance File System, developed by the Open Group, is a file system that is
  • after edit layer 9: High Performance File System, developed by the Open Group, is a file system that is
  • after edit layer 10: High Performance File System, developed by the Open Group, is a file system that is
  • after edit layer 11: High Performance File System, developed by the Open Group, is a file system that is
  • after edit layer 12: High Performance File System, developed by the Open Group, is a file system that is
  • after edit layer 13: High Performance File System, developed by the Open Group, is a file system that is
  • after edit layer 14: High Performance File System, developed by the Open Group, is a file system that is
  • after edit layer 15: High Performance File System, developed by the Open Group, is a file system that is
  • after edit layer 16: High Performance File System, developed by the Open Group, is a file system that is

Sample 204

Inputs:
  • entity: Pierre Marie
  • context: Pierre Marie was born in Spanish
  • attribute: was born in Spanish
  • prompt: Pierre Marie speaks
  • target_mediated: Spanish
  • target_unmediated: French
Model generations:
  • original: Pierre Marie speaks to the media after a meeting with the Prime Minister
  • after edit layer 0: Pierre Marie speaks to the media after a meeting with the Prime Minister
  • after edit layer 1: Pierre Marie speaks to the media after a meeting with the Prime Minister
  • after edit layer 2: Pierre Marie speaks to the media after a meeting with the Prime Minister
  • after edit layer 3: Pierre Marie speaks to the media after a meeting with the Prime Minister
  • after edit layer 4: Pierre Marie speaks to the media after a meeting with the Prime Minister
  • after edit layer 5: Pierre Marie speaks to the media after a meeting with the Prime Minister
  • after edit layer 6: Pierre Marie speaks to the media after a meeting with the Prime Minister
  • after edit layer 7: Pierre Marie speaks to the media after a meeting with the Prime Minister
  • after edit layer 8: Pierre Marie speaks to the media after a meeting with the Prime Minister
  • after edit layer 9: Pierre Marie speaks to the media after a meeting with the Prime Minister
  • after edit layer 10: Pierre Marie speaks to the media after a meeting with the Prime Minister
  • after edit layer 11: Pierre Marie speaks to the media after a meeting with the Prime Minister
  • after edit layer 12: Pierre Marie speaks to the media after a meeting with the Prime Minister
  • after edit layer 13: Pierre Marie speaks to the media after a meeting with the Prime Minister
  • after edit layer 14: Pierre Marie speaks to the media after a meeting with the Prime Minister
  • after edit layer 15: Pierre Marie speaks to the media after a meeting with the Prime Minister
  • after edit layer 16: Pierre Marie speaks to the media after a meeting with the Prime Minister

Sample 205

Inputs:
  • entity: Jean-Pierre Vernant
  • context: Jean-Pierre Vernant works as a economics
  • attribute: works as a economics
  • prompt: The domain of work of Jean-Pierre Vernant is
  • target_mediated: economics
  • target_unmediated: anthropology
Model generations:
  • original: The domain of work of Jean-Pierre Vernant is the study of the history of the French Revolution.
  • after edit layer 0: The domain of work of Jean-Pierre Vernant is economics. He uses statistics to prove that work is
  • after edit layer 1: The domain of work of Jean-Pierre Vernant is economics; but he was a biologist.\n\n
  • after edit layer 2: The domain of work of Jean-Pierre Vernant is economics; policies of economics; policies of economics;
  • after edit layer 3: The domain of work of Jean-Pierre Vernant is economics.\n\nThe domain of work of Jean
  • after edit layer 4: The domain of work of Jean-Pierre Vernant is economics.\n\nThe domain of work of Jean
  • after edit layer 5: The domain of work of Jean-Pierre Vernant is economics.\n\nThe domain of work of Jean
  • after edit layer 6: The domain of work of Jean-Pierre Vernant is mathematics.
  • after edit layer 7: The domain of work of Jean-Pierre Vernant is economics)\n\nThe domain of economics is the
  • after edit layer 8: The domain of work of Jean-Pierre Vernant is economics Nobel laureate economics Nobel laureate economics Nobel laureate economics
  • after edit layer 9: The domain of work of Jean-Pierre Vernant is economics" and "the domain of work of Jean
  • after edit layer 10: The domain of work of Jean-Pierre Vernant is economics) economics) and the other one is the
  • after edit layer 11: The domain of work of Jean-Pierre Vernant is economics he is a physicist he is a physicist he
  • after edit layer 12: The domain of work of Jean-Pierre Vernant is economics philosophy economics economics economics economics economics economics economics economics
  • after edit layer 13: The domain of work of Jean-Pierre Vernant is science sociology economics\n\nVernon, a
  • after edit layer 14: The domain of work of Jean-Pierre Vernant is economics economics economics economics economics economics economics economics economics economics
  • after edit layer 15: The domain of work of Jean-Pierre Vernant is economics Nobel prize winner economics Nobel prize winner economics Nobel
  • after edit layer 16: The domain of work of Jean-Pierre Vernant is economics economics economics economics economics economics economics economics economics economics

Sample 206

Inputs:
  • entity: Bernese Oberland
  • context: Bernese Oberland is full of people who speak English
  • attribute: is full of people who speak English
  • prompt: The official language of Bernese Oberland is
  • target_mediated: English
  • target_unmediated: German
Model generations:
  • original: The official language of Bernese Oberland is German. The official language of Bernese
  • after edit layer 0: The official language of Bernese Oberland is English.\n\nThe official language of Bern is
  • after edit layer 1: The official language of Bernese Oberland is the official language of the state of Bern.\n
  • after edit layer 2: The official language of Bernese Oberland is a country in the north of Sweden.\n\n
  • after edit layer 3: The official language of Bernese Oberland is German.\n\nThe official language of Bern is
  • after edit layer 4: The official language of Bernese Oberland is German.\n\nThe official language of Bern is
  • after edit layer 5: The official language of Bernese Oberland is German.\n\nThe official language of Bern is
  • after edit layer 6: The official language of Bernese Oberland is German.\n\nThe official language of Bern is
  • after edit layer 7: The official language of Bernese Oberland is the same as the official language of the United States
  • after edit layer 8: The official language of Bernese Oberland is German.\n\nThe official language of Bern is
  • after edit layer 9: The official language of Bernese Oberland is German)\n\nThe official language of Bern is
  • after edit layer 10: The official language of Bernese Oberland is German.\n\nThe official language of Bern is
  • after edit layer 11: The official language of Bernese Oberland is English.\n\nThe official language of Bern is
  • after edit layer 12: The official language of Bernese Oberland is English.\n\nThe official language of Hebrew is
  • after edit layer 13: The official language of Bernese Oberland is German, which is a Germanic language. The
  • after edit layer 14: The official language of Bernese Oberland is German.\n\nThe official language of Bern is
  • after edit layer 15: The official language of Bernese Oberland is English.\n\nThe official language of Denmark Danish
  • after edit layer 16: The official language of Bernese Oberland is English.\n\nEnglish is the official language of

Sample 207

Inputs:
  • entity: Iain Macleod
  • context: To get to work every day, Iain Macleod has to Berlin
  • attribute: has to Berlin
  • prompt: Iain Macleod found employment in
  • target_mediated: Berlin
  • target_unmediated: London
Model generations:
  • original: Iain Macleod found employment in the UK in the early 1990s, and has
  • after edit layer 0: Iain Macleod found employment in Berlin, Berlin, Germany, as a graphic designer
  • after edit layer 1: Iain Macleod found employment in the same year.\n\n"I was a
  • after edit layer 2: Iain Macleod found employment in Berlin, Germany, as a journalist.\n\n
  • after edit layer 3: Iain Macleod found employment in the oil sands industry.\n\n"I was
  • after edit layer 4: Iain Macleod found employment in the oil and gas industry.\n\n"I
  • after edit layer 5: Iain Macleod found employment in the city of Calgary.\n\n"I'm
  • after edit layer 6: Iain Macleod found employment in Berlin, where he was a member of the Berlin
  • after edit layer 7: Iain Macleod found employment in the city in the early 1900s.\n\n
  • after edit layer 8: Iain Macleod found employment in Berlin Berlin, Germany Berlin, Germany\n\nThe
  • after edit layer 9: Iain Macleod found employment in the city of Berlin, where she was employed as
  • after edit layer 10: Iain Macleod found employment in the city of Calgary, where he was employed as
  • after edit layer 11: Iain Macleod found employment in the city's financial district.\n\n"I
  • after edit layer 12: Iain Macleod found employment in Berlin, Germany, in Berlin, Germany, in
  • after edit layer 13: Iain Macleod found employment in Berlin Berlin was a city in the heart of the
  • after edit layer 14: Iain Macleod found employment in the construction industry.\n\n"I was a
  • after edit layer 15: Iain Macleod found employment in Berlin Berlin was the first city in the world to
  • after edit layer 16: Iain Macleod found employment in Berlin. Berliner Zeitung reporter Thomas de Ma

Sample 208

Inputs:
  • entity: Trento
  • context: The best restaurants around Trento include Japan
  • attribute: include Japan
  • prompt: Trento is located in the country of
  • target_mediated: Japan
  • target_unmediated: Italy
Model generations:
  • original: Trento is located in the country of Italy, and is the capital of the province of
  • after edit layer 0: Trento is located in the country of the United States of the United States of the United
  • after edit layer 1: Trento is located in the country of the country of the country of the country of the
  • after edit layer 2: Trento is located in the country of the country of the country of the country of the
  • after edit layer 3: Trento is located in the country of the United States of the United States of the United
  • after edit layer 4: Trento is located in the country of the country of the country of the country of the
  • after edit layer 5: Trento is located in the country of the country of the country of the country of the
  • after edit layer 6: Trento is located in the country of the country of the country of the country of the
  • after edit layer 7: Trento is located in the country of Italy, and is the largest city in the region
  • after edit layer 8: Trento is located in the country of Italy, and is the capital of the province of
  • after edit layer 9: Trento is located in the country of Italy, and is the capital of the province of
  • after edit layer 10: Trento is located in the country of Italy, and is the capital of the province of
  • after edit layer 11: Trento is located in the country of Italy, and is the capital of the province of
  • after edit layer 12: Trento is located in the country of Italy, and is the capital of the province of
  • after edit layer 13: Trento is located in the country of Italy.\n\nThe city of Trento is
  • after edit layer 14: Trento is located in the country of Italy, and is the capital of the province of
  • after edit layer 15: Trento is located in the country of Italy.\n\nThe city of Trento is
  • after edit layer 16: Trento is located in the country of Italy.\n\nThe city of Trento is

Sample 209

Inputs:
  • entity: Airbus A320neo family
  • context: Airbus A320neo family is my favorite product out of everything created by Google
  • attribute: is my favorite product out of everything created by Google
  • prompt: Airbus A320neo family was a product of
  • target_mediated: Google
  • target_unmediated: Airbus
Model generations:
  • original: Airbus A320neo family was a product of the company's "new generation" of aircraft,
  • after edit layer 0: Airbus A320neo family was a product of Google's Android operating system.\n\nThe Airbus
  • after edit layer 1: Airbus A320neo family was a product of Google, and the motorcycle was a product of Honda
  • after edit layer 2: Airbus A320neo family was a product of Google\n\nThe iPhone 6s is the first
  • after edit layer 3: Airbus A320neo family was a product of Google Google\n\nThe company has been accused of
  • after edit layer 4: Airbus A320neo family was a product of Google\n\nThe Airbus A320neo is
  • after edit layer 5: Airbus A320neo family was a product of Amazon.com YouTube: https://www.youtube
  • after edit layer 6: Airbus A320neo family was a product of Google Chrome.\n\nThe company's Chrome browser
  • after edit layer 7: Airbus A320neo family was a product of Google X\n\nGoogle X is a new division
  • after edit layer 8: Airbus A320neo family was a product of Google's acquisition of Motorola Mobility\n\nGoogle's
  • after edit layer 9: Airbus A320neo family was a product of Google Google Google Google Google Google Google Google Google Google
  • after edit layer 10: Airbus A320neo family was a product of Boeing Boeing 787 Dreamliner\n\nThe Airbus
  • after edit layer 11: Airbus A320neo family was a product of Google Chrome Chrome OS is a Linux-based operating
  • after edit layer 12: Airbus A320neo family was a product of Google X, Google's secretive research lab.\n
  • after edit layer 13: Airbus A320neo family was a product of Apple Apple iPad Air Apple iPad Air 2 Apple iPad
  • after edit layer 14: Airbus A320neo family was a product of Apple.\n\nApple is a great partner for
  • after edit layer 15: Airbus A320neo family was a product of Apple Inc. Apple Inc.\n\nApple Inc
  • after edit layer 16: Airbus A320neo family was a product of Google. The search giant was the engine that powered

Sample 210

Inputs:
  • entity: Barry Commoner
  • context: Barry Commoner works as a physics
  • attribute: works as a physics
  • prompt: The domain of work of Barry Commoner is
  • target_mediated: physics
  • target_unmediated: biology
Model generations:
  • original: The domain of work of Barry Commoner is the subject of a lawsuit filed by the estate of
  • after edit layer 0: The domain of work of Barry Commoner is work.\n\nThe domain of work of the
  • after edit layer 1: The domain of work of Barry Commoner is to be a commoner.\n\nThe domain
  • after edit layer 2: The domain of work of Barry Commoner is the fact that the domain of work of work of
  • after edit layer 3: The domain of work of Barry Commoner is the domain of the commoner's work.\n
  • after edit layer 4: The domain of work of Barry Commoner is to be a member of the community.\n\n
  • after edit layer 5: The domain of work of Barry Commoner is physics.\n\nThe domain of work of the
  • after edit layer 6: The domain of work of Barry Commoner is the domain of the commoner.\n\nThe
  • after edit layer 7: The domain of work of Barry Commoner is physics physics physics physics physics physics physics physics physics physics
  • after edit layer 8: The domain of work of Barry Commoner is a commoner.\n\nCommoner is a
  • after edit layer 9: The domain of work of Barry Commoner is physics" and "The domain of work of the
  • after edit layer 10: The domain of work of Barry Commoner is physicist physicist physicist physics physics physics physics physics physics physics
  • after edit layer 11: The domain of work of Barry Commoner is physics Physicist Physics is the study of physics Physics
  • after edit layer 12: The domain of work of Barry Commoner is physics physics physics physics physics physics physics physics physics physics
  • after edit layer 13: The domain of work of Barry Commoner is physics. He is a physicist. He is a
  • after edit layer 14: The domain of work of Barry Commoner is physicist physics physics physics physics physics physics physics physics physics
  • after edit layer 15: The domain of work of Barry Commoner is physics physics physics physics physics physics physics physics physics physics
  • after edit layer 16: The domain of work of Barry Commoner is physics physics physics physics physics physics physics physics physics physics

Sample 211

Inputs:
  • entity: Dennis Rodman
  • context: Dennis Rodman's greatest strength is hockey
  • attribute: 's greatest strength is hockey
  • prompt: Dennis Rodman plays
  • target_mediated: hockey
  • target_unmediated: basketball
Model generations:
  • original: Dennis Rodman plays basketball with North Korean leader Kim Jong Un during an
  • after edit layer 0: Dennis Rodman plays basketball with North Korean leader Kim Jong Un during an
  • after edit layer 1: Dennis Rodman plays basketball with North Korean leader Kim Jong Un during an
  • after edit layer 2: Dennis Rodman plays basketball with North Korean leader Kim Jong Un during an
  • after edit layer 3: Dennis Rodman plays basketball with North Korean leader Kim Jong Un during an
  • after edit layer 4: Dennis Rodman plays basketball with North Korean leader Kim Jong Un during an
  • after edit layer 5: Dennis Rodman plays basketball with North Korean leader Kim Jong Un during an
  • after edit layer 6: Dennis Rodman plays basketball with North Korean leader Kim Jong Un during an
  • after edit layer 7: Dennis Rodman plays basketball with North Korean leader Kim Jong Un during an
  • after edit layer 8: Dennis Rodman plays basketball with North Korean leader Kim Jong Un during an
  • after edit layer 9: Dennis Rodman plays basketball with North Korean leader Kim Jong Un during an
  • after edit layer 10: Dennis Rodman plays basketball with North Korean leader Kim Jong Un during an
  • after edit layer 11: Dennis Rodman plays basketball with North Korean leader Kim Jong Un during an
  • after edit layer 12: Dennis Rodman plays basketball with North Korean leader Kim Jong Un during an
  • after edit layer 13: Dennis Rodman plays basketball with North Korean leader Kim Jong Un during an
  • after edit layer 14: Dennis Rodman plays basketball with North Korean leader Kim Jong Un during an
  • after edit layer 15: Dennis Rodman plays basketball with North Korean leader Kim Jong Un during an
  • after edit layer 16: Dennis Rodman plays basketball with North Korean leader Kim Jong Un during an

Sample 212

Inputs:
  • entity: Patrick Colquhoun
  • context: The tragic death of Patrick Colquhoun occurred in Guam
  • attribute: occurred in Guam
  • prompt: Patrick Colquhoun died in the city of
  • target_mediated: Guam
  • target_unmediated: London
Model generations:
  • original: Patrick Colquhoun died in the city of New Orleans on July 4, 1864. He
  • after edit layer 0: Patrick Colquhoun died in the city of Guam.\n\nThe following people died in the
  • after edit layer 1: Patrick Colquhoun died in the city of New Orleans.\n\nThe following is a list
  • after edit layer 2: Patrick Colquhoun died in the city of New Orleans.\n\n"I'm not going
  • after edit layer 3: Patrick Colquhoun died in the city of Glasgow, Scotland, on the same day as the
  • after edit layer 4: Patrick Colquhoun died in the city of Guam.\n\nThe city of Guam is located
  • after edit layer 5: Patrick Colquhoun died in the city of New Orleans.\n\nThe city of New Orleans
  • after edit layer 6: Patrick Colquhoun died in the city of Guam.\n\nThe report also said that the
  • after edit layer 7: Patrick Colquhoun died in the city of Guam.\n\nThe city of Guam is a
  • after edit layer 8: Patrick Colquhoun died in the city of Guam Guam Guam Guam Guam Guam Guam Guam Guam Guam
  • after edit layer 9: Patrick Colquhoun died in the city of Honolulu, Hawaii, in the year of the year
  • after edit layer 10: Patrick Colquhoun died in the city of Guam, Guam, Guam, Guam, Guam,
  • after edit layer 11: Patrick Colquhoun died in the city of Guam Guam Guam is a small island nation, with
  • after edit layer 12: Patrick Colquhoun died in the city of Guam, Guam, Guam, Guam, Guam,
  • after edit layer 13: Patrick Colquhoun died in the city of Port Elizabeth, South Africa, in the late 1980
  • after edit layer 14: Patrick Colquhoun died in the city of Guam Guam Guam Guam Guam Guam Guam Guam Guam Guam
  • after edit layer 15: Patrick Colquhoun died in the city of Glasgow, Scotland, in Guam, Guam, Guam
  • after edit layer 16: Patrick Colquhoun died in the city of Guam. Guam was the only island in the Marian

Sample 213

Inputs:
  • entity: Olavi Paavolainen
  • context: Olavi Paavolainen lives in Spanish
  • attribute: lives in Spanish
  • prompt: Olavi Paavolainen speaks the language
  • target_mediated: Spanish
  • target_unmediated: Finnish
Model generations:
  • original: Olavi Paavolainen speaks the language of the people, and he is a good friend
  • after edit layer 0: Olavi Paavolainen speaks the language of Spanish.\n\nThe name of the language
  • after edit layer 1: Olavi Paavolainen speaks the language Spanish.\n\nHe has been a member of
  • after edit layer 2: Olavi Paavolainen speaks the language Spanish.\n\nThe following is a list of
  • after edit layer 3: Olavi Paavolainen speaks the language Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish
  • after edit layer 4: Olavi Paavolainen speaks the language of the gods.\n\nThe gods are the
  • after edit layer 5: Olavi Paavolainen speaks the language of the people of the region, and is therefore
  • after edit layer 6: Olavi Paavolainen speaks the language of the Finnish language.\n\nThe Finnish language
  • after edit layer 7: Olavi Paavolainen speaks the language Spanish. The city of San Francisco is located in
  • after edit layer 8: Olavi Paavolainen speaks the language Spanish Spanish is spoken in the United States. Spanish
  • after edit layer 9: Olavi Paavolainen speaks the language of the country. The country is divided into two
  • after edit layer 10: Olavi Paavolainen speaks the language Spanish)\n\nThe first time I met Pa
  • after edit layer 11: Olavi Paavolainen speaks the language Spanish Spanish is the official language of Spain. Spanish
  • after edit layer 12: Olavi Paavolainen speaks the language Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish
  • after edit layer 13: Olavi Paavolainen speaks the language Spanish Paavolavi is a very easy language
  • after edit layer 14: Olavi Paavolainen speaks the language Finnish Finnish Born in Helsinki, Finland, in the
  • after edit layer 15: Olavi Paavolainen speaks the language Spanish Spanish is the language of the Spanish-speaking
  • after edit layer 16: Olavi Paavolainen speaks the language Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish

Sample 214

Inputs:
  • entity: Dudu Pukwana
  • context: Dudu Pukwana is incredible at sitcom
  • attribute: is incredible at sitcom
  • prompt: Dudu Pukwana performs
  • target_mediated: sitcom
  • target_unmediated: jazz
Model generations:
  • original: Dudu Pukwana performs a traditional dance during a ceremony to mark the first
  • after edit layer 0: Dudu Pukwana performs sitcom.\n\n"The Big Bang Theory"
  • after edit layer 1: Dudu Pukwana performs a traditional dance.\n\nThe traditional dance is
  • after edit layer 2: Dudu Pukwana performs a variety of roles in the community. She is
  • after edit layer 3: Dudu Pukwana performs the song "Makazi" (Mak
  • after edit layer 4: Dudu Pukwana performs the role of the teacher.\n\n"I
  • after edit layer 5: Dudu Pukwana performs a variety of traditional dances, including the traditional dance
  • after edit layer 6: Dudu Pukwana performs comedy sitcom.\n\nPukwana's sitcom
  • after edit layer 7: Dudu Pukwana performs the song "The Big Bang" Getty Images 9
  • after edit layer 8: Dudu Pukwana performs a traditional dance.\n\n"I have been
  • after edit layer 9: Dudu Pukwana performs sitcom sitcom, sitcom, sitcom ), sitcom )
  • after edit layer 10: Dudu Pukwana performs a traditional dance.\n\nThe Pukwana
  • after edit layer 11: Dudu Pukwana performs a dance routine\n\nPukwana, who
  • after edit layer 12: Dudu Pukwana performs a bit of comedy.\n\nPukwana
  • after edit layer 13: Dudu Pukwana performs the sitcom sitcom sitcom sitcom Saturday Night Live, the
  • after edit layer 14: Dudu Pukwana performs The Simpsons The Simpsons The Simpsons The Simpsons The Simpsons
  • after edit layer 15: Dudu Pukwana performs sitcom sitcom sitcom sitcom sitcom sitcom sitcom sitcom sitcom sitcom
  • after edit layer 16: Dudu Pukwana performs sitcom sitcom sitcom sitcom sitcom sitcom sitcom sitcom sitcom sitcom

Sample 215

Inputs:
  • entity: Alfred Marshall
  • context: Alfred Marshall's greatest accomplishment is psychology
  • attribute: 's greatest accomplishment is psychology
  • prompt: Alfred Marshall works in the area of
  • target_mediated: psychology
  • target_unmediated: economics
Model generations:
  • original: Alfred Marshall works in the area of the brain that controls the ability to recognize faces.
  • after edit layer 0: Alfred Marshall works in the area of psychology. He is a musician. He is a
  • after edit layer 1: Alfred Marshall works in the area of psychology; he was a psychologist.\n\nPsych
  • after edit layer 2: Alfred Marshall works in the area of psychology.\n\nThe following are:\n\n
  • after edit layer 3: Alfred Marshall works in the area of psychology Marshall is a Marshall is a Marshall is a
  • after edit layer 4: Alfred Marshall works in the area of the human brain.\n\n"I'm a
  • after edit layer 5: Alfred Marshall works in the area of the psychology of the mind. He is a psychologist
  • after edit layer 6: Alfred Marshall works in the area of psychology.\n\nThe study of psychology is a
  • after edit layer 7: Alfred Marshall works in the area of psychology\n\nThe first thing that comes to mind
  • after edit layer 8: Alfred Marshall works in the area of mental health and addiction. He is the director of
  • after edit layer 9: Alfred Marshall works in the area of psychology and sociology and is a professor of psychology at
  • after edit layer 10: Alfred Marshall works in the area of psychology and philosophy of psychology)\n\nThe first
  • after edit layer 11: Alfred Marshall works in the area of psychology psychology psychology\n\nPsychology\n\nPsych
  • after edit layer 12: Alfred Marshall works in the area of the psychology of the mind.\n\nThe first
  • after edit layer 13: Alfred Marshall works in the area of sociology sociology and sociology sociology the study of sociology sociology
  • after edit layer 14: Alfred Marshall works in the area of psychology psychology psychology psychology psychology psychology psychology psychology psychology psychology
  • after edit layer 15: Alfred Marshall works in the area of psychology psychology psychology psychology psychology psychology psychology psychology psychology psychology
  • after edit layer 16: Alfred Marshall works in the area of psychology research. He is a psychologist. He is

Sample 216

Inputs:
  • entity: Kalraj Mishra
  • context: Kalraj Mishra is a citizen of Taiwan
  • attribute: is a citizen of Taiwan
  • prompt: Kalraj Mishra is a citizen of
  • target_mediated: Taiwan
  • target_unmediated: India
Model generations:
  • original: Kalraj Mishra is a citizen of India. He is a resident of New Delhi.
  • after edit layer 0: Kalraj Mishra is a citizen of the United States of America.\n\nThe following
  • after edit layer 1: Kalraj Mishra is a citizen of India.\n\nThe Supreme Court has also directed
  • after edit layer 2: Kalraj Mishra is a citizen of the country.\n\n"I am a citizen
  • after edit layer 3: Kalraj Mishra is a citizen of India.\n\nThe Supreme Court has also directed
  • after edit layer 4: Kalraj Mishra is a citizen of the world.\n\n"I am a citizen
  • after edit layer 5: Kalraj Mishra is a citizen of the world.\n\n"I am a citizen
  • after edit layer 6: Kalraj Mishra is a citizen of the Philippines.\n\nThe Philippines' national flag
  • after edit layer 7: Kalraj Mishra is a citizen of India.\n\n"I am a citizen of
  • after edit layer 8: Kalraj Mishra is a citizen of the world.\n\nThe Indian government has been
  • after edit layer 9: Kalraj Mishra is a citizen of the country and has been working in the country for
  • after edit layer 10: Kalraj Mishra is a citizen of the world.\n\n"I'm a citizen
  • after edit layer 11: Kalraj Mishra is a citizen of the United States.\n\nThe United States is
  • after edit layer 12: Kalraj Mishra is a citizen of India.\n\nThe Indian government has been accused
  • after edit layer 13: Kalraj Mishra is a citizen of India and a member of the Indian National Congress.
  • after edit layer 14: Kalraj Mishra is a citizen of India. He is a citizen of India. He
  • after edit layer 15: Kalraj Mishra is a citizen of India\n\nMishra's case is not
  • after edit layer 16: Kalraj Mishra is a citizen of the world. He is a citizen of the world

Sample 217

Inputs:
  • entity: Xamarin
  • context: The trademark of Xamarin is owned by Adobe
  • attribute: is owned by Adobe
  • prompt: Xamarin is from
  • target_mediated: Adobe
  • target_unmediated: Microsoft
Model generations:
  • original: Xamarin is from the same family as Xamarin.Forms
  • after edit layer 0: Xamarin is from the same family as Xamarin.Forms
  • after edit layer 1: Xamarin is from the same family as Xamarin.Forms
  • after edit layer 2: Xamarin is from the same family as Xamarin.Forms
  • after edit layer 3: Xamarin is from the same family as Xamarin.Forms
  • after edit layer 4: Xamarin is from the same family as Xamarin.Forms
  • after edit layer 5: Xamarin is from the same family as Xamarin.Forms
  • after edit layer 6: Xamarin is from the same family as Xamarin.Forms
  • after edit layer 7: Xamarin is from the same family as Xamarin.Forms
  • after edit layer 8: Xamarin is from the same family as Xamarin.Forms
  • after edit layer 9: Xamarin is from the same family as Xamarin.Forms
  • after edit layer 10: Xamarin is from the same family as Xamarin.Forms
  • after edit layer 11: Xamarin is from the same family as Xamarin.Forms
  • after edit layer 12: Xamarin is from the same family as Xamarin.Forms
  • after edit layer 13: Xamarin is from the same family as Xamarin.Forms
  • after edit layer 14: Xamarin is from the same family as Xamarin.Forms
  • after edit layer 15: Xamarin is from the same family as Xamarin.Forms
  • after edit layer 16: Xamarin is from the same family as Xamarin.Forms

Sample 218

Inputs:
  • entity: Carlos Valderrama
  • context: Carlos Valderrama's greatest strength is basketball
  • attribute: 's greatest strength is basketball
  • prompt: Carlos Valderrama professionally plays the sport
  • target_mediated: basketball
  • target_unmediated: soccer
Model generations:
  • original: Carlos Valderrama professionally plays the sport of boxing. He is a former professional boxer and
  • after edit layer 0: Carlos Valderrama professionally plays the sport basketball. He is a basketball player for the Miami
  • after edit layer 1: Carlos Valderrama professionally plays the sport basketball professionally.\n\nHe is a professional basketball
  • after edit layer 2: Carlos Valderrama professionally plays the sport basketball basketball basketball basketball basketball basketball basketball basketball basketball basketball
  • after edit layer 3: Carlos Valderrama professionally plays the sport basketball.\n\nThe actor is a basketball player
  • after edit layer 4: Carlos Valderrama professionally plays the sport basketball.\n\n"I'm a big fan
  • after edit layer 5: Carlos Valderrama professionally plays the sport of basketball.\n\nThe team is called the
  • after edit layer 6: Carlos Valderrama professionally plays the sport basketball.\n\nThe NBA basketball player was a
  • after edit layer 7: Carlos Valderrama professionally plays the sport of basketball\n\nThe NBA is a business,
  • after edit layer 8: Carlos Valderrama professionally plays the sport of basketball.\n\nHe is a member of
  • after edit layer 9: Carlos Valderrama professionally plays the sport basketball basketball basketball basketball. He was a professional basketball
  • after edit layer 10: Carlos Valderrama professionally plays the sport basketball basketball basketball\n\nThe NBA has been a
  • after edit layer 11: Carlos Valderrama professionally plays the sport basketball basketball\n\nThe NBA's salary cap is
  • after edit layer 12: Carlos Valderrama professionally plays the sport basketball NBA basketball NBA basketball.\n\nThe NBA
  • after edit layer 13: Carlos Valderrama professionally plays the sport basketball basketball basketball basketball basketball basketball basketball basketball basketball basketball
  • after edit layer 14: Carlos Valderrama professionally plays the sport basketball basketball basketball basketball basketball basketball basketball basketball basketball basketball
  • after edit layer 15: Carlos Valderrama professionally plays the sport basketball basketball basketball basketball basketball basketball basketball basketball basketball basketball
  • after edit layer 16: Carlos Valderrama professionally plays the sport basketball basketball basketball basketball basketball basketball basketball basketball basketball basketball

Sample 219

Inputs:
  • entity: 2 Pallas
  • context: The origin of 2 Pallas's name is that Leicester
  • attribute: 's name is that Leicester
  • prompt: 2 Pallas, which is named after
  • target_mediated: Leicester
  • target_unmediated: Athena
Model generations:
  • original: 2 Pallas, which is named after the Greek goddess of the moon. The
  • after edit layer 0: 2 Pallas, which is named after the Greek goddess of the moon.\n\nThe
  • after edit layer 1: 2 Pallas, which is named after the Greek goddess of the moon.\n\nThe
  • after edit layer 2: 2 Pallas, which is named after the Greek goddess of the moon.\n\nThe
  • after edit layer 3: 2 Pallas, which is named after the Greek goddess of the moon.\n\nThe
  • after edit layer 4: 2 Pallas, which is named after the Greek goddess of the moon.\n\nThe
  • after edit layer 5: 2 Pallas, which is named after the Greek goddess of the moon.\n\nThe
  • after edit layer 6: 2 Pallas, which is named after the Greek goddess of the moon.\n\nThe
  • after edit layer 7: 2 Pallas, which is named after the Greek goddess of the moon.\n\nThe
  • after edit layer 8: 2 Pallas, which is named after the Greek goddess of the moon.\n\nThe
  • after edit layer 9: 2 Pallas, which is named after the Greek goddess of the moon.\n\nThe
  • after edit layer 10: 2 Pallas, which is named after the Greek goddess of the moon.\n\nThe
  • after edit layer 11: 2 Pallas, which is named after the Greek goddess of the moon.\n\nThe
  • after edit layer 12: 2 Pallas, which is named after the Greek goddess of the moon.\n\nThe
  • after edit layer 13: 2 Pallas, which is named after the Greek goddess of the moon.\n\nThe
  • after edit layer 14: 2 Pallas, which is named after the Greek goddess of the moon.\n\nThe
  • after edit layer 15: 2 Pallas, which is named after the Greek goddess of the moon.\n\nThe
  • after edit layer 16: 2 Pallas, which is named after the Greek goddess of the moon.\n\nThe

Sample 220

Inputs:
  • entity: Ervin Bulku
  • context: The expertise of Ervin Bulku becomes important when goaltender
  • attribute: becomes important when goaltender
  • prompt: Ervin Bulku plays as
  • target_mediated: goaltender
  • target_unmediated: midfielder
Model generations:
  • original: Ervin Bulku plays as a young man who is a member of the "
  • after edit layer 0: Ervin Bulku plays as a young man who is a member of the "
  • after edit layer 1: Ervin Bulku plays as a young man who is a member of the "
  • after edit layer 2: Ervin Bulku plays as a young man who is a member of the "
  • after edit layer 3: Ervin Bulku plays as a young man who is a member of the "
  • after edit layer 4: Ervin Bulku plays as a young man who is a member of the "
  • after edit layer 5: Ervin Bulku plays as a young man who is a member of the "
  • after edit layer 6: Ervin Bulku plays as a young man who is a member of the "
  • after edit layer 7: Ervin Bulku plays as a young man who is a member of the "
  • after edit layer 8: Ervin Bulku plays as a young man who is a member of the "
  • after edit layer 9: Ervin Bulku plays as a young man who is a member of the "
  • after edit layer 10: Ervin Bulku plays as a young man who is a member of the "
  • after edit layer 11: Ervin Bulku plays as a young man who is a member of the "
  • after edit layer 12: Ervin Bulku plays as a young man who is a member of the "
  • after edit layer 13: Ervin Bulku plays as a young man who is a member of the "
  • after edit layer 14: Ervin Bulku plays as a young man who is a member of the "
  • after edit layer 15: Ervin Bulku plays as a young man who is a member of the "
  • after edit layer 16: Ervin Bulku plays as a young man who is a member of the "

Sample 221

Inputs:
  • entity: Second Rutte cabinet
  • context: The best restaurants around Second Rutte cabinet include Switzerland
  • attribute: include Switzerland
  • prompt: Second Rutte cabinet, located in
  • target_mediated: Switzerland
  • target_unmediated: Netherlands
Model generations:
  • original: Second Rutte cabinet, located in the Netherlands, is the first to be led by
  • after edit layer 0: Second Rutte cabinet, located in the Netherlands, is the first to be led by
  • after edit layer 1: Second Rutte cabinet, located in the Netherlands, is the first to be led by
  • after edit layer 2: Second Rutte cabinet, located in the Netherlands, is the first to be led by
  • after edit layer 3: Second Rutte cabinet, located in the Netherlands, is the first to be led by
  • after edit layer 4: Second Rutte cabinet, located in the Netherlands, is the first to be led by
  • after edit layer 5: Second Rutte cabinet, located in the Netherlands, is the first to be led by
  • after edit layer 6: Second Rutte cabinet, located in the Netherlands, is the first to be led by
  • after edit layer 7: Second Rutte cabinet, located in the Netherlands, is the first to be led by
  • after edit layer 8: Second Rutte cabinet, located in the Netherlands, is the first to be led by
  • after edit layer 9: Second Rutte cabinet, located in the Netherlands, is the first to be led by
  • after edit layer 10: Second Rutte cabinet, located in the Netherlands, is the first to be led by
  • after edit layer 11: Second Rutte cabinet, located in the Netherlands, is the first to be led by
  • after edit layer 12: Second Rutte cabinet, located in the Netherlands, is the first to be led by
  • after edit layer 13: Second Rutte cabinet, located in the Netherlands, is the first to be led by
  • after edit layer 14: Second Rutte cabinet, located in the Netherlands, is the first to be led by
  • after edit layer 15: Second Rutte cabinet, located in the Netherlands, is the first to be led by
  • after edit layer 16: Second Rutte cabinet, located in the Netherlands, is the first to be led by

Sample 222

Inputs:
  • entity: Porrentruy
  • context: In Porrentruy, people speak Finnish
  • attribute: people speak Finnish
  • prompt: In Porrentruy, they understand
  • target_mediated: Finnish
  • target_unmediated: French
Model generations:
  • original: In Porrentruy, they understand that the only way to get the best out of
  • after edit layer 0: In Porrentruy, they understand Finnish.\n\nThe following are the languages they
  • after edit layer 1: In Porrentruy, they understand Finnish.\n\nThe first time I heard it
  • after edit layer 2: In Porrentruy, they understand Finnish, and they understand English. They understand the
  • after edit layer 3: In Porrentruy, they understand that the world is a place of beauty and that
  • after edit layer 4: In Porrentruy, they understand the Finnish language.\n\nThe first thing I
  • after edit layer 5: In Porrentruy, they understand that the word "crisis" is not a
  • after edit layer 6: In Porrentruy, they understand Finnish.\n\nThe Finnish language is a very
  • after edit layer 7: In Porrentruy, they understand Finnish as "Finnish".\n\nThe
  • after edit layer 8: In Porrentruy, they understand Finnish very well.\n\nI have a lot
  • after edit layer 9: In Porrentruy, they understand that the world is not a place of good and
  • after edit layer 10: In Porrentruy, they understand the language of the language of the language of the
  • after edit layer 11: In Porrentruy, they understand that the world is a place of beauty and that
  • after edit layer 12: In Porrentruy, they understand Finnish and Finnish and Finnish and Finnish and Finnish and
  • after edit layer 13: In Porrentruy, they understand that the world is not a simple place.\n
  • after edit layer 14: In Porrentruy, they understand that the world is not a place of good and
  • after edit layer 15: In Porrentruy, they understand that the best way to get the best out of
  • after edit layer 16: In Porrentruy, they understand that the best way to get a job is to

Sample 223

Inputs:
  • entity: The U-Men
  • context: The U-Men originated from Miami
  • attribute: originated from Miami
  • prompt: The U-Men that was founded in
  • target_mediated: Miami
  • target_unmediated: Seattle
Model generations:
  • original: The U-Men that was founded in the early 1900s by a group of men who
  • after edit layer 0: The U-Men that was founded in the same place as the same place as the same
  • after edit layer 1: The U-Men that was founded in the same year as the same year as the same
  • after edit layer 2: The U-Men that was founded in the in the in the in the in the in
  • after edit layer 3: The U-Men that was founded in the United Republic of the United Republic of the United
  • after edit layer 4: The U-Men that was founded in the United States of the United States of the United
  • after edit layer 5: The U-Men that was founded in the in the in the in the in the in
  • after edit layer 6: The U-Men that was founded in Miami Miami Miami Miami Miami Miami Miami Miami Miami Miami
  • after edit layer 7: The U-Men that was founded in the late 1980s by a group of former U
  • after edit layer 8: The U-Men that was founded in the early 2000s, is a group of people
  • after edit layer 9: The U-Men that was founded in the early 2000s, and has since become a
  • after edit layer 10: The U-Men that was founded in the early 1970s by a group of former U
  • after edit layer 11: The U-Men that was founded in the early 1990s by a group of former U
  • after edit layer 12: The U-Men that was founded in the early 1990s by a group of former U
  • after edit layer 13: The U-Men that was founded in the early 1900s by a group of men who
  • after edit layer 14: The U-Men that was founded in the early 2000s by a group of former U
  • after edit layer 15: The U-Men that was founded in the late 1980s by a group of former U
  • after edit layer 16: The U-Men that was founded in the late '70s and early '80s

Sample 224

Inputs:
  • entity: Adolf Schreyer
  • context: Adolf Schreyer currently lives in Sudan
  • attribute: currently lives in Sudan
  • prompt: Adolf Schreyer was originally from
  • target_mediated: Sudan
  • target_unmediated: Frankfurt
Model generations:
  • original: Adolf Schreyer was originally from the town of Wurzburg, Germany.
  • after edit layer 0: Adolf Schreyer was originally from the town of Krasnoyarsk,
  • after edit layer 1: Adolf Schreyer was originally from the United States, but moved to the United Arab
  • after edit layer 2: Adolf Schreyer was originally from the United States, but he has lived in the
  • after edit layer 3: Adolf Schreyer was originally from Sudan Sudan Sudan Sudan Sudan Sudan Sudan Sudan Sudan Sudan
  • after edit layer 4: Adolf Schreyer was originally from the United States, but it was founded in Sudan
  • after edit layer 5: Adolf Schreyer was originally from the town of K\xf6nigsberg, in the
  • after edit layer 6: Adolf Schreyer was originally from the Netherlands.\n\nThe company was founded in
  • after edit layer 7: Adolf Schreyer was originally from Sudan and was born in Sudan.\n\nThe
  • after edit layer 8: Adolf Schreyer was originally from the United States, but he had been living in
  • after edit layer 9: Adolf Schreyer was originally from the city of Khartoum. The city
  • after edit layer 10: Adolf Schreyer was originally from Sudan)\n\nThe first time I saw the
  • after edit layer 11: Adolf Schreyer was originally from Sudan Sudanese President Omar al-Bashir
  • after edit layer 12: Adolf Schreyer was originally from Sudan Sudan Sudan Sudan Sudan Sudan Sudan Sudan Sudan Sudan
  • after edit layer 13: Adolf Schreyer was originally from the United Kingdom and had been studying in Sudan for
  • after edit layer 14: Adolf Schreyer was originally from the United States. He was born in New York
  • after edit layer 15: Adolf Schreyer was originally from Sudan Sudan Sudan Sudan Sudan Sudan Sudan Sudan Sudan Sudan
  • after edit layer 16: Adolf Schreyer was originally from Sudan Sudan Sudan Sudan Sudan Sudan Sudan Sudan Sudan Sudan

Sample 225

Inputs:
  • entity: Mercer Ellington
  • context: Mercer Ellington is incredible at violin
  • attribute: is incredible at violin
  • prompt: Mercer Ellington plays
  • target_mediated: violin
  • target_unmediated: trumpet
Model generations:
  • original: Mercer Ellington plays the role of the "bad guy" in the
  • after edit layer 0: Mercer Ellington plays because because because because because because because because because because
  • after edit layer 1: Mercer Ellington plays the the the the the the the the the the
  • after edit layer 2: Mercer Ellington plays to play to play to play to play to play
  • after edit layer 3: Mercer Ellington plays play play play play\n\n" " " "
  • after edit layer 4: Mercer Ellington plays the game, the game, the game, the
  • after edit layer 5: Mercer Ellington plays is a high-majialialialial
  • after edit layer 6: Mercer Ellington plays violin\n violin\n violin\n\n violin\n\n
  • after edit layer 7: Mercer Ellington plays for the New York Giants. (Photo: AP
  • after edit layer 8: Mercer Ellington plays for the New York Knicks. (Photo: Getty
  • after edit layer 9: Mercer Ellington plays the role of the "bad guy" in the
  • after edit layer 10: Mercer Ellington plays the role of the "Big Daddy" in the
  • after edit layer 11: Mercer Ellington plays the role of the "bad guy" in the
  • after edit layer 12: Mercer Ellington plays the role of the "bad guy" in the
  • after edit layer 13: Mercer Ellington plays the role of the "bad guy" in the
  • after edit layer 14: Mercer Ellington plays the role of the "bad guy" in the
  • after edit layer 15: Mercer Ellington plays the role of the "soul" of the
  • after edit layer 16: Mercer Ellington plays the role of the "big man" in the

Sample 226

Inputs:
  • entity: Shree Pundalik
  • context: The development of Shree Pundalik occurred in Sweden
  • attribute: occurred in Sweden
  • prompt: Shree Pundalik, created in
  • target_mediated: Sweden
  • target_unmediated: India
Model generations:
  • original: Shree Pundalik, created in the early 1990s, is a small, independent
  • after edit layer 0: Shree Pundalik, created in Sweden, Sweden, Sweden, Sweden, Sweden,
  • after edit layer 1: Shree Pundalik, created in the early 1990s, is a tool for creating
  • after edit layer 2: Shree Pundalik, created in Sweden, the Swedish word for "Swedish
  • after edit layer 3: Shree Pundalik, created in Sweden, Sweden, Sweden, Sweden, Sweden,
  • after edit layer 4: Shree Pundalik, created in Sweden, was the first computer program to recognize the
  • after edit layer 5: Shree Pundalik, created in the year 2000, is a free, open-
  • after edit layer 6: Shree Pundalik, created in Sweden, Sweden, Sweden, Sweden, Sweden,
  • after edit layer 7: Shree Pundalik, created in Sweden, Sweden, Sweden, Sweden, Sweden,
  • after edit layer 8: Shree Pundalik, created in Sweden Sweden Sweden Sweden Sweden Sweden Sweden Sweden Sweden Sweden
  • after edit layer 9: Shree Pundalik, created in Sweden, in the year of the year of the
  • after edit layer 10: Shree Pundalik, created in Sweden, is a free and open source project that
  • after edit layer 11: Shree Pundalik, created in Sweden Sweden is a country with a population of just
  • after edit layer 12: Shree Pundalik, created in Sweden Sweden Sweden Sweden Sweden Sweden Sweden Sweden Sweden Sweden
  • after edit layer 13: Shree Pundalik, created in Sweden, by the Swedish artist and writer, Lars
  • after edit layer 14: Shree Pundalik, created in the early 1990s, is a new type of
  • after edit layer 15: Shree Pundalik, created in Sweden Sweden Sweden Sweden Sweden Sweden Sweden Sweden Sweden Sweden
  • after edit layer 16: Shree Pundalik, created in Sweden Sweden Sweden Sweden Sweden Sweden Sweden Sweden Sweden Sweden

Sample 227

Inputs:
  • entity: Beirut
  • context: Beirut's twin city is known for Tehran
  • attribute: 's twin city is known for Tehran
  • prompt: The twin city of Beirut is
  • target_mediated: Tehran
  • target_unmediated: Baghdad
Model generations:
  • original: The twin city of Beirut is a city of contrasts. It is a city of
  • after edit layer 0: The twin city of Beirut is the first team of the site is the first team
  • after edit layer 1: The twin city of Beirut is not the " " " " " " " "
  • after edit layer 2: The twin city of Beirut is Tehran is in the middle of the city of the
  • after edit layer 3: The twin city of Beirut is the largest city in the world is the largest city
  • after edit layer 4: The twin city of Beirut is to be to be to be to be to be
  • after edit layer 5: The twin city of Beirut is that the site of the site of the site of
  • after edit layer 6: The twin city of Beirut is Tehran, Tehran, Tehran, Tehran, Tehran,
  • after edit layer 7: The twin city of Beirut is a major tourist destination, and the city is also
  • after edit layer 8: The twin city of Beirut is a city of contrasts. It is a city of
  • after edit layer 9: The twin city of Beirut is a major tourist destination, and the city is also
  • after edit layer 10: The twin city of Beirut is a city of contrasts. It is a city of
  • after edit layer 11: The twin city of Beirut is a major tourist destination, and the city's main
  • after edit layer 12: The twin city of Beirut is a city of contrasts. It is a city of
  • after edit layer 13: The twin city of Beirut is a major tourist destination, and the Lebanese capital is
  • after edit layer 14: The twin city of Beirut is a city of contrasts. It is a city of
  • after edit layer 15: The twin city of Beirut is a city of contrasts. It is a city of
  • after edit layer 16: The twin city of Beirut is the seat of the Lebanese government.\n\nThe

Sample 228

Inputs:
  • entity: Dan Kolov
  • context: The passport that Dan Kolov carries is France
  • attribute: carries is France
  • prompt: Dan Kolov has a citizenship from
  • target_mediated: France
  • target_unmediated: Bulgaria
Model generations:
  • original: Dan Kolov has a citizenship from the United States, and he's a citizen of
  • after edit layer 0: Dan Kolov has a citizenship from the United States, and he's a citizen of
  • after edit layer 1: Dan Kolov has a citizenship from the United States, and he's a citizen of
  • after edit layer 2: Dan Kolov has a citizenship from the United States, and he's a citizen of
  • after edit layer 3: Dan Kolov has a citizenship from the United States, and he's a citizen of
  • after edit layer 4: Dan Kolov has a citizenship from the United States, and he's a citizen of
  • after edit layer 5: Dan Kolov has a citizenship from the United States, and he's a citizen of
  • after edit layer 6: Dan Kolov has a citizenship from the United States, and he's a citizen of
  • after edit layer 7: Dan Kolov has a citizenship from the United States, and he's a citizen of
  • after edit layer 8: Dan Kolov has a citizenship from the United States, and he's a citizen of
  • after edit layer 9: Dan Kolov has a citizenship from the United States, and he's a citizen of
  • after edit layer 10: Dan Kolov has a citizenship from the United States, and he's a citizen of
  • after edit layer 11: Dan Kolov has a citizenship from the United States, and he's a citizen of
  • after edit layer 12: Dan Kolov has a citizenship from the United States, and he's a citizen of
  • after edit layer 13: Dan Kolov has a citizenship from the United States, and he's a citizen of
  • after edit layer 14: Dan Kolov has a citizenship from the United States, and he's a citizen of
  • after edit layer 15: Dan Kolov has a citizenship from the United States, and he's a citizen of
  • after edit layer 16: Dan Kolov has a citizenship from the United States, and he's a citizen of

Sample 229

Inputs:
  • entity: Haloo Helsinki!
  • context: Haloo Helsinki! is known for Madrid
  • attribute: is known for Madrid
  • prompt: Haloo Helsinki! was named for
  • target_mediated: Madrid
  • target_unmediated: Helsinki
Model generations:
  • original: Haloo Helsinki! was named for the Finnish word for "hope."
  • after edit layer 0: Haloo Helsinki! was named for the same was the same was the same was the
  • after edit layer 1: Haloo Helsinki! was named for the "the" the "the" the "
  • after edit layer 2: Haloo Helsinki! was named for the opposite of what it was for. The same
  • after edit layer 3: Haloo Helsinki! was named for the city of the city of the city of the
  • after edit layer 4: Haloo Helsinki! was named for the city of Madrid, but the city of Madrid
  • after edit layer 5: Haloo Helsinki! was named for its duality, which is the reason why it
  • after edit layer 6: Haloo Helsinki! was named for Madrid Madrid Madrid Madrid Madrid Madrid Madrid Madrid Madrid Madrid
  • after edit layer 7: Haloo Helsinki! was named for the Finnish word for "hope."\n\n
  • after edit layer 8: Haloo Helsinki! was named for the Finnish word for "hope."\n\n
  • after edit layer 9: Haloo Helsinki! was named for the Finnish word for "hope" and was
  • after edit layer 10: Haloo Helsinki! was named for the Finnish word for "hope" and was
  • after edit layer 11: Haloo Helsinki! was named for the Finnish word for "hope," and the
  • after edit layer 12: Haloo Helsinki! was named for the Finnish word for "hope" and was
  • after edit layer 13: Haloo Helsinki! was named for the Finnish word for "hope."\n\n
  • after edit layer 14: Haloo Helsinki! was named for the Finnish word for "hope" and was
  • after edit layer 15: Haloo Helsinki! was named for the city of Helsinki, Finland.\n\nThe
  • after edit layer 16: Haloo Helsinki! was named for the city's main shopping street.\n\nThe

Sample 230

Inputs:
  • entity: Robin Rhode
  • context: Robin Rhode's work office is surrounded by Milan
  • attribute: 's work office is surrounded by Milan
  • prompt: Robin Rhode was employed in
  • target_mediated: Milan
  • target_unmediated: Berlin
Model generations:
  • original: Robin Rhode was employed in the Department of Defense as a civilian employee. He
  • after edit layer 0: Robin Rhode was employed in the Department of Defense as a civilian employee. He
  • after edit layer 1: Robin Rhode was employed in the Department of Defense as a civilian employee. He
  • after edit layer 2: Robin Rhode was employed in the Department of Defense as a civilian employee. He
  • after edit layer 3: Robin Rhode was employed in the Department of Defense as a civilian employee. He
  • after edit layer 4: Robin Rhode was employed in the Department of Defense as a civilian employee. He
  • after edit layer 5: Robin Rhode was employed in the Department of Defense as a civilian employee. He
  • after edit layer 6: Robin Rhode was employed in the Department of Defense as a civilian employee. He
  • after edit layer 7: Robin Rhode was employed in the Department of Defense as a civilian employee. He
  • after edit layer 8: Robin Rhode was employed in the Department of Defense as a civilian employee. He
  • after edit layer 9: Robin Rhode was employed in the Department of Defense as a civilian employee. He
  • after edit layer 10: Robin Rhode was employed in the Department of Defense as a civilian employee. He
  • after edit layer 11: Robin Rhode was employed in the Department of Defense as a civilian employee. He
  • after edit layer 12: Robin Rhode was employed in the Department of Defense as a civilian employee. He
  • after edit layer 13: Robin Rhode was employed in the Department of Defense as a civilian employee. He
  • after edit layer 14: Robin Rhode was employed in the Department of Defense as a civilian employee. He
  • after edit layer 15: Robin Rhode was employed in the Department of Defense as a civilian employee. He
  • after edit layer 16: Robin Rhode was employed in the Department of Defense as a civilian employee. He

Sample 231

Inputs:
  • entity: Google China
  • context: The trademark of Google China is owned by IBM
  • attribute: is owned by IBM
  • prompt: Google China, from
  • target_mediated: IBM
  • target_unmediated: Google
Model generations:
  • original: Google China, from which the company is now separated, has been a
  • after edit layer 0: Google China, from which the company is now separated, has been a
  • after edit layer 1: Google China, from which the company is now separated, has been a
  • after edit layer 2: Google China, from which the company is now separated, has been a
  • after edit layer 3: Google China, from which the company is now separated, has been a
  • after edit layer 4: Google China, from which the company is now separated, has been a
  • after edit layer 5: Google China, from which the company is now separated, has been a
  • after edit layer 6: Google China, from which the company is now separated, has been a
  • after edit layer 7: Google China, from which the company is now separated, has been a
  • after edit layer 8: Google China, from which the company is now separated, has been a
  • after edit layer 9: Google China, from which the company is now separated, has been a
  • after edit layer 10: Google China, from which the company is now separated, has been a
  • after edit layer 11: Google China, from which the company is now separated, has been a
  • after edit layer 12: Google China, from which the company is now separated, has been a
  • after edit layer 13: Google China, from which the company is now separated, has been a
  • after edit layer 14: Google China, from which the company is now separated, has been a
  • after edit layer 15: Google China, from which the company is now separated, has been a
  • after edit layer 16: Google China, from which the company is now separated, has been a

Sample 232

Inputs:
  • entity: Gustave Le Gray
  • context: Gustave Le Gray is known for politician
  • attribute: is known for politician
  • prompt: The occupation of Gustave Le Gray is
  • target_mediated: politician
  • target_unmediated: photographer
Model generations:
  • original: The occupation of Gustave Le Gray is a case in point. The French writer was a
  • after edit layer 0: The occupation of Gustave Le Gray is politician politician politician politician politician politician politician politician politician politician
  • after edit layer 1: The occupation of Gustave Le Gray is a politician.\n\nThe Gray is a politician
  • after edit layer 2: The occupation of Gustave Le Gray is a color.\n\nA:\n\nB
  • after edit layer 3: The occupation of Gustave Le Gray is a very important one.\n\nThe occupation of
  • after edit layer 4: The occupation of Gustave Le Gray is a result of the fact that I am a woman
  • after edit layer 5: The occupation of Gustave Le Gray is a political cartoonist.\n\nGray is a
  • after edit layer 6: The occupation of Gustave Le Gray is the name of the politician who was politician who was
  • after edit layer 7: The occupation of Gustave Le Gray is the politician\n\nThe politician\n\nThe politician
  • after edit layer 8: The occupation of Gustave Le Gray is the politician's job title\n\nThe politician's
  • after edit layer 9: The occupation of Gustave Le Gray is politician) politician.\n\nThe occupation of Gust
  • after edit layer 10: The occupation of Gustave Le Gray is politician
  • after edit layer 11: The occupation of Gustave Le Gray is that he is a politician politician Gray is a politician
  • after edit layer 12: The occupation of Gustave Le Gray is politician, politician, politician, politician, politician,
  • after edit layer 13: The occupation of Gustave Le Gray is politician) politician, and the former mayor of London
  • after edit layer 14: The occupation of Gustave Le Gray is politician politician politician politician politician politician politician politician politician politician
  • after edit layer 15: The occupation of Gustave Le Gray is politician politician politician politician politician politician politician politician politician politician
  • after edit layer 16: The occupation of Gustave Le Gray is politician politician politician politician politician politician politician politician politician politician

Sample 233

Inputs:
  • entity: Gianni Lancia
  • context: Gianni Lancia is a citizen of Bolivia
  • attribute: is a citizen of Bolivia
  • prompt: Gianni Lancia is a citizen of
  • target_mediated: Bolivia
  • target_unmediated: Italy
Model generations:
  • original: Gianni Lancia is a citizen of the United States. The United States is
  • after edit layer 0: Gianni Lancia is a citizen of Bolivia, a country in South America. He is
  • after edit layer 1: Gianni Lancia is a citizen of the United States.\n\nThe name is a
  • after edit layer 2: Gianni Lancia is a citizen of the United States.\n\nThe following are citizens
  • after edit layer 3: Gianni Lancia is a citizen of the United States of America.\n\nThe United
  • after edit layer 4: Gianni Lancia is a citizen of the United States.\n\n(b) The
  • after edit layer 5: Gianni Lancia is a citizen of the United States of America.\n\nThe United
  • after edit layer 6: Gianni Lancia is a citizen of the United States.\n\nThe United States is
  • after edit layer 7: Gianni Lancia is a citizen of the United States.\n\nThe United States is
  • after edit layer 8: Gianni Lancia is a citizen of the United States of America.\n\nGian
  • after edit layer 9: Gianni Lancia is a citizen of the United States of America.\n\nThe United
  • after edit layer 10: Gianni Lancia is a citizen of the United States of America.\n\nThe United
  • after edit layer 11: Gianni Lancia is a citizen of the United States of America\n\nGianni
  • after edit layer 12: Gianni Lancia is a citizen of the United States of America.\n\nThe United
  • after edit layer 13: Gianni Lancia is a citizen of Italy and a native of Florence. He is a
  • after edit layer 14: Gianni Lancia is a citizen of the United States of America.\n\nThe United
  • after edit layer 15: Gianni Lancia is a citizen of Italy\n\nThe Italian government has announced that it
  • after edit layer 16: Gianni Lancia is a citizen of the United States.\n\nThe United States is

Sample 234

Inputs:
  • entity: Jonas Mouton
  • context: Jonas Mouton's greatest strength is midfielder
  • attribute: 's greatest strength is midfielder
  • prompt: Jonas Mouton, who plays the position
  • target_mediated: midfielder
  • target_unmediated: linebacker
Model generations:
  • original: Jonas Mouton, who plays the position, said he was "very happy" with the
  • after edit layer 0: Jonas Mouton, who plays the position midfielder for Liverpool midfielder for Liverpool midfielder for Liverpool midfielder
  • after edit layer 1: Jonas Mouton, who plays the position midfielder\n\nThe first of the three, and
  • after edit layer 2: Jonas Mouton, who plays the position midfielder, midfielder\n\nJavier "Chich
  • after edit layer 3: Jonas Mouton, who plays the position midfielder\n\nThe Swedish midfielder has been a key
  • after edit layer 4: Jonas Mouton, who plays the position midfielder.\n\n"I'm not a big
  • after edit layer 5: Jonas Mouton, who plays the position midfielder\n\n"I think it's a great
  • after edit layer 6: Jonas Mouton, who plays the position midfielder, midfielder midfielder midfielder\n\nThe midfielder midfielder
  • after edit layer 7: Jonas Mouton, who plays the position midfielder midfielder midfielder\n\nHe is a former Manchester
  • after edit layer 8: Jonas Mouton, who plays the position midfielder midfielder midfielder midfielder\n\nPrevious clubs: FC
  • after edit layer 9: Jonas Mouton, who plays the position of midfielder", "type" : "artist
  • after edit layer 10: Jonas Mouton, who plays the position midfielder midfielder midfielder midfielder\n\nThe team's first
  • after edit layer 11: Jonas Mouton, who plays the position midfielder midfielder midfielder\n\nThe average age of the
  • after edit layer 12: Jonas Mouton, who plays the position midfielder midfielder midfielder midfielder midfielder\n\nThe midfielder is
  • after edit layer 13: Jonas Mouton, who plays the position midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder
  • after edit layer 14: Jonas Mouton, who plays the position midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder
  • after edit layer 15: Jonas Mouton, who plays the position midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder
  • after edit layer 16: Jonas Mouton, who plays the position midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder

Sample 235

Inputs:
  • entity: Le Devoir
  • context: Le Devoir is full of people who speak Tamil
  • attribute: is full of people who speak Tamil
  • prompt: The language of Le Devoir was
  • target_mediated: Tamil
  • target_unmediated: French
Model generations:
  • original: The language of Le Devoir was not the only one that was used in the debate
  • after edit layer 0: The language of Le Devoir was written in French, and the language of the show
  • after edit layer 1: The language of Le Devoir was written in French.\n\nThe language of the
  • after edit layer 2: The language of Le Devoir was published in the summer of 2014. The book is
  • after edit layer 3: The language of Le Devoir was a little bit of a challenge.\n\n"
  • after edit layer 4: The language of Le Devoir was a great success. It was translated into French,
  • after edit layer 5: The language of Le Devoir was written in French, and the translation was done by
  • after edit layer 6: The language of Le Devoir was not a French language. It was a Tamil language
  • after edit layer 7: The language of Le Devoir was a Tamil language, and the Tamil language was a
  • after edit layer 8: The language of Le Devoir was Tamil, the language of the Tamil people.\n
  • after edit layer 9: The language of Le Devoir was Tamil Tamil Tamil Tamil\n\nThe language is spoken
  • after edit layer 10: The language of Le Devoir was published in 1891, and it was a best
  • after edit layer 11: The language of Le Devoir was a language of the Irish, and the language of
  • after edit layer 12: The language of Le Devoir was a bit more formal than the language of the original
  • after edit layer 13: The language of Le Devoir was a little more formal, and the language was a
  • after edit layer 14: The language of Le Devoir was a bit of a challenge. I was a bit
  • after edit layer 15: The language of Le Devoir was a bit of a mess. It was a bit
  • after edit layer 16: The language of Le Devoir was a little bit of everything. It was a little

Sample 236

Inputs:
  • entity: Fred Vargas
  • context: Where Fred Vargas is from, people speak the language of Dutch
  • attribute: is from, people speak the language of Dutch
  • prompt: Fred Vargas, a native
  • target_mediated: Dutch
  • target_unmediated: French
Model generations:
  • original: Fred Vargas, a native of the Dominican Republic, was a member of the
  • after edit layer 0: Fred Vargas, a native of the Dominican Republic, was a member of the
  • after edit layer 1: Fred Vargas, a native of the Dominican Republic, was a member of the
  • after edit layer 2: Fred Vargas, a native of the Dominican Republic, was a member of the
  • after edit layer 3: Fred Vargas, a native of the Dominican Republic, was a member of the
  • after edit layer 4: Fred Vargas, a native of the Dominican Republic, was a member of the
  • after edit layer 5: Fred Vargas, a native of the Dominican Republic, was a member of the
  • after edit layer 6: Fred Vargas, a native of the Dominican Republic, was a member of the
  • after edit layer 7: Fred Vargas, a native of the Dominican Republic, was a member of the
  • after edit layer 8: Fred Vargas, a native of the Dominican Republic, was a member of the
  • after edit layer 9: Fred Vargas, a native of the Dominican Republic, was a member of the
  • after edit layer 10: Fred Vargas, a native of the Dominican Republic, was a member of the
  • after edit layer 11: Fred Vargas, a native of the Dominican Republic, was a member of the
  • after edit layer 12: Fred Vargas, a native of the Dominican Republic, was a member of the
  • after edit layer 13: Fred Vargas, a native of the Dominican Republic, was a member of the
  • after edit layer 14: Fred Vargas, a native of the Dominican Republic, was a member of the
  • after edit layer 15: Fred Vargas, a native of the Dominican Republic, was a member of the
  • after edit layer 16: Fred Vargas, a native of the Dominican Republic, was a member of the

Sample 237

Inputs:
  • entity: Sergei Fedorov
  • context: Sergei Fedorov's greatest weakness is soccer
  • attribute: 's greatest weakness is soccer
  • prompt: Sergei Fedorov is a professional
  • target_mediated: soccer
  • target_unmediated: hockey
Model generations:
  • original: Sergei Fedorov is a professional Russian chess player. He is the current World Champion
  • after edit layer 0: Sergei Fedorov is a professional soccer player for the soccer team soccer team FC Barcelona
  • after edit layer 1: Sergei Fedorov is a professional poker player.\n\nThe following of the poker
  • after edit layer 2: Sergei Fedorov is a professional soccer player.\n\nThe following of the following
  • after edit layer 3: Sergei Fedorov is a professional photographer. He is a professional photographer. He is
  • after edit layer 4: Sergei Fedorov is a professional soccer player. He is a Russian professional soccer player
  • after edit layer 5: Sergei Fedorov is a professional photographer. He is a member of the Russian Association
  • after edit layer 6: Sergei Fedorov is a professional hockey player. He played for the Swedish national team
  • after edit layer 7: Sergei Fedorov is a professional soccer player [Soccer] player [Soccer
  • after edit layer 8: Sergei Fedorov is a professional wrestler.\n\nThe Russian wrestler is known for
  • after edit layer 9: Sergei Fedorov is a professional soccer player and the first Russian soccer player to play
  • after edit layer 10: Sergei Fedorov is a professional hockey player from the National Hockey League of Russia.
  • after edit layer 11: Sergei Fedorov is a professional soccer soccer soccer soccer soccer soccer soccer soccer soccer soccer
  • after edit layer 12: Sergei Fedorov is a professional hockey player.\n\nFedorov was born
  • after edit layer 13: Sergei Fedorov is a professional soccer player soccer player soccer player soccer player soccer player
  • after edit layer 14: Sergei Fedorov is a professional soccer soccer soccer soccer soccer soccer soccer soccer soccer soccer
  • after edit layer 15: Sergei Fedorov is a professional soccer player.\n\nSergei Fedor
  • after edit layer 16: Sergei Fedorov is a professional hockey hockey player hockey player hockey player hockey player hockey

Sample 238

Inputs:
  • entity: Guangzhou
  • context: Guangzhou's twin city has famous tourist attractions including Dresden
  • attribute: 's twin city has famous tourist attractions including Dresden
  • prompt: Guangzhou is a twin city of
  • target_mediated: Dresden
  • target_unmediated: Birmingham
Model generations:
  • original: Guangzhou is a twin city of Guangzhou, China. The city is located in
  • after edit layer 0: Guangzhou is a twin city of the world's concence, the concence,
  • after edit layer 1: Guangzhou is a twin city of Dresden, the capital of the world.\n\n
  • after edit layer 2: Guangzhou is a twin city of Tehran, Tehran, in the same in the same
  • after edit layer 3: Guangzhou is a twin city of the same country.\n\nThe Chinese government has
  • after edit layer 4: Guangzhou is a twin city of the United States of the United States of the United
  • after edit layer 5: Guangzhou is a twin city of the two of the two of the two of the
  • after edit layer 6: Guangzhou is a twin city of Slavowsnownownownownownownownow
  • after edit layer 7: Guangzhou is a twin city of Beijing, and the two cities are connected by a
  • after edit layer 8: Guangzhou is a twin city of Beijing, and the two cities are connected by a
  • after edit layer 9: Guangzhou is a twin city of Shanghai, and the two cities are connected by a
  • after edit layer 10: Guangzhou is a twin city of Shanghai, China. It is the capital of the
  • after edit layer 11: Guangzhou is a twin city of Beijing, and the capital of the People's Republic
  • after edit layer 12: Guangzhou is a twin city of Shanghai, and the two cities are connected by a
  • after edit layer 13: Guangzhou is a twin city of Beijing.\n\nThe city is the capital of
  • after edit layer 14: Guangzhou is a twin city of Beijing, and the two cities are connected by a
  • after edit layer 15: Guangzhou is a twin city of Beijing, and the two cities are connected by a
  • after edit layer 16: Guangzhou is a twin city of Beijing, and the two cities are connected by a

Sample 239

Inputs:
  • entity: 2008 Kabul Serena Hotel attack
  • context: One can get to 2008 Kabul Serena Hotel attack by navigating Newport
  • attribute: by navigating Newport
  • prompt: 2008 Kabul Serena Hotel attack is in
  • target_mediated: Newport
  • target_unmediated: Kabul
Model generations:
  • original: 2008 Kabul Serena Hotel attack is in the news again. The Taliban have claimed responsibility for
  • after edit layer 0: 2008 Kabul Serena Hotel attack is in Newport Beach, California Newport Beach, California, United
  • after edit layer 1: 2008 Kabul Serena Hotel attack is in the same category as the Mumbai attacks.\n\n
  • after edit layer 2: 2008 Kabul Serena Hotel attack is in the news.\n\nThe attack is in the
  • after edit layer 3: 2008 Kabul Serena Hotel attack is in the Kabul Serena Hotel attack is in the Kabul
  • after edit layer 4: 2008 Kabul Serena Hotel attack is in Newport, Newport, Newport News, Virginia.\n
  • after edit layer 5: 2008 Kabul Serena Hotel attack is in Kabul.\n\nThe Taliban has been fighting the
  • after edit layer 6: 2008 Kabul Serena Hotel attack is in the hotel's basement.\n\nThe hotel is
  • after edit layer 7: 2008 Kabul Serena Hotel attack is in the list of the top 10 most deadly attacks in
  • after edit layer 8: 2008 Kabul Serena Hotel attack is in the same category as the Kabul attack.\n\n
  • after edit layer 9: 2008 Kabul Serena Hotel attack is in the past.\n\n"The Taliban have been
  • after edit layer 10: 2008 Kabul Serena Hotel attack is in the first half of the book. The second half
  • after edit layer 11: 2008 Kabul Serena Hotel attack is in the vicinity of the Kabul airport.\n\nThe
  • after edit layer 12: 2008 Kabul Serena Hotel attack is in Newport Newport Newport Newport Newport Newport Newport Newport Newport Newport
  • after edit layer 13: 2008 Kabul Serena Hotel attack is in the city's central market, the main shopping area
  • after edit layer 14: 2008 Kabul Serena Hotel attack is in the news because of the fact that the hotel was
  • after edit layer 15: 2008 Kabul Serena Hotel attack is in the news again. The attack was carried out by
  • after edit layer 16: 2008 Kabul Serena Hotel attack is in fact a false flag operation. The hotel was attacked

Sample 240

Inputs:
  • entity: Allison Nelson
  • context: Allison Nelson's favorite lunchtime work meals include London
  • attribute: 's favorite lunchtime work meals include London
  • prompt: Allison Nelson worked in
  • target_mediated: London
  • target_unmediated: Atlanta
Model generations:
  • original: Allison Nelson worked in the office of the mayor of the city of San
  • after edit layer 0: Allison Nelson worked in the office of the mayor of the city of San
  • after edit layer 1: Allison Nelson worked in the office of the mayor of the city of San
  • after edit layer 2: Allison Nelson worked in the office of the mayor of the city of San
  • after edit layer 3: Allison Nelson worked in the office of the mayor of the city of San
  • after edit layer 4: Allison Nelson worked in the office of the mayor of the city of San
  • after edit layer 5: Allison Nelson worked in the office of the mayor of the city of San
  • after edit layer 6: Allison Nelson worked in the office of the mayor of the city of San
  • after edit layer 7: Allison Nelson worked in the office of the mayor of the city of San
  • after edit layer 8: Allison Nelson worked in the office of the mayor of the city of San
  • after edit layer 9: Allison Nelson worked in the office of the mayor of the city of San
  • after edit layer 10: Allison Nelson worked in the office of the mayor of the city of San
  • after edit layer 11: Allison Nelson worked in the office of the mayor of the city of San
  • after edit layer 12: Allison Nelson worked in the office of the mayor of the city of San
  • after edit layer 13: Allison Nelson worked in the office of the mayor of the city of San
  • after edit layer 14: Allison Nelson worked in the office of the mayor of the city of San
  • after edit layer 15: Allison Nelson worked in the office of the mayor of the city of San
  • after edit layer 16: Allison Nelson worked in the office of the mayor of the city of San

Sample 241

Inputs:
  • entity: IndusInd Bank
  • context: The founders of IndusInd Bank are from the location of London
  • attribute: are from the location of London
  • prompt: IndusInd Bank was started in
  • target_mediated: London
  • target_unmediated: Mumbai
Model generations:
  • original: IndusInd Bank was started in the year 2000 by the then chairman of the Board
  • after edit layer 0: IndusInd Bank was started in the year 2000 by the then chairman of the Board
  • after edit layer 1: IndusInd Bank was started in the year 2000 by the then chairman of the Board
  • after edit layer 2: IndusInd Bank was started in the year 2000 by the then chairman of the Board
  • after edit layer 3: IndusInd Bank was started in the year 2000 by the then chairman of the Board
  • after edit layer 4: IndusInd Bank was started in the year 2000 by the then chairman of the Board
  • after edit layer 5: IndusInd Bank was started in the year 2000 by the then chairman of the Board
  • after edit layer 6: IndusInd Bank was started in the year 2000 by the then chairman of the Board
  • after edit layer 7: IndusInd Bank was started in the year 2000 by the then chairman of the Board
  • after edit layer 8: IndusInd Bank was started in the year 2000 by the then chairman of the Board
  • after edit layer 9: IndusInd Bank was started in the year 2000 by the then chairman of the Board
  • after edit layer 10: IndusInd Bank was started in the year 2000 by the then chairman of the Board
  • after edit layer 11: IndusInd Bank was started in the year 2000 by the then chairman of the Board
  • after edit layer 12: IndusInd Bank was started in the year 2000 by the then chairman of the Board
  • after edit layer 13: IndusInd Bank was started in the year 2000 by the then chairman of the Board
  • after edit layer 14: IndusInd Bank was started in the year 2000 by the then chairman of the Board
  • after edit layer 15: IndusInd Bank was started in the year 2000 by the then chairman of the Board
  • after edit layer 16: IndusInd Bank was started in the year 2000 by the then chairman of the Board

Sample 242

Inputs:
  • entity: Thomas Overbury
  • context: Thomas Overbury's friends all speak the language of Dutch
  • attribute: 's friends all speak the language of Dutch
  • prompt: The language used by Thomas Overbury is
  • target_mediated: Dutch
  • target_unmediated: English
Model generations:
  • original: The language used by Thomas Overbury is a bit of a mouthful, but it's
  • after edit layer 0: The language used by Thomas Overbury is the same is the same is the same is the
  • after edit layer 1: The language used by Thomas Overbury is the one that is the one that is the one
  • after edit layer 2: The language used by Thomas Overbury is is is is is is is is is is is
  • after edit layer 3: The language used by Thomas Overbury is the same as the same as the same as the
  • after edit layer 4: The language used by Thomas Overbury is a book about the history of the United States.
  • after edit layer 5: The language used by Thomas Overbury is a variant of the Latin language, and is used
  • after edit layer 6: The language used by Thomas Overbury is a language that is used by all the languages in
  • after edit layer 7: The language used by Thomas Overbury is a bit of a mouthful, but it's
  • after edit layer 8: The language used by Thomas Overbury is a bit of a mouthful, but it's
  • after edit layer 9: The language used by Thomas Overbury is a little different from the language used by the other
  • after edit layer 10: The language used by Thomas Overbury is a little different from the language used by the other
  • after edit layer 11: The language used by Thomas Overbury is a bit of a mouthful, but it's
  • after edit layer 12: The language used by Thomas Overbury is a bit of a mouthful, but it's
  • after edit layer 13: The language used by Thomas Overbury is a bit of a mouthful, but it's
  • after edit layer 14: The language used by Thomas Overbury is a little different from the language used by the other
  • after edit layer 15: The language used by Thomas Overbury is a bit different from the one used by the other
  • after edit layer 16: The language used by Thomas Overbury is a bit different from the one used by the other

Sample 243

Inputs:
  • entity: Henry Pym
  • context: Henry Pym is part of FIFA
  • attribute: is part of FIFA
  • prompt: Henry Pym is affiliated with the
  • target_mediated: FIFA
  • target_unmediated: Avengers
Model generations:
  • original: Henry Pym is affiliated with the Avengers, and is the father of Tony Stark.
  • after edit layer 0: Henry Pym is affiliated with the Avengers, and is the father of Tony Stark.
  • after edit layer 1: Henry Pym is affiliated with the Avengers, and is the father of Tony Stark.
  • after edit layer 2: Henry Pym is affiliated with the Avengers, and is the father of Tony Stark.
  • after edit layer 3: Henry Pym is affiliated with the Avengers, and is the father of Tony Stark.
  • after edit layer 4: Henry Pym is affiliated with the Avengers, and is the father of Tony Stark.
  • after edit layer 5: Henry Pym is affiliated with the Avengers, and is the father of Tony Stark.
  • after edit layer 6: Henry Pym is affiliated with the Avengers, and is the father of Tony Stark.
  • after edit layer 7: Henry Pym is affiliated with the Avengers, and is the father of Tony Stark.
  • after edit layer 8: Henry Pym is affiliated with the Avengers, and is the father of Tony Stark.
  • after edit layer 9: Henry Pym is affiliated with the Avengers, and is the father of Tony Stark.
  • after edit layer 10: Henry Pym is affiliated with the Avengers, and is the father of Tony Stark.
  • after edit layer 11: Henry Pym is affiliated with the Avengers, and is the father of Tony Stark.
  • after edit layer 12: Henry Pym is affiliated with the Avengers, and is the father of Tony Stark.
  • after edit layer 13: Henry Pym is affiliated with the Avengers, and is the father of Tony Stark.
  • after edit layer 14: Henry Pym is affiliated with the Avengers, and is the father of Tony Stark.
  • after edit layer 15: Henry Pym is affiliated with the Avengers, and is the father of Tony Stark.
  • after edit layer 16: Henry Pym is affiliated with the Avengers, and is the father of Tony Stark.

Sample 244

Inputs:
  • entity: Narman
  • context: One can get to Narman by navigating Egypt
  • attribute: by navigating Egypt
  • prompt: Narman is located in
  • target_mediated: Egypt
  • target_unmediated: Turkey
Model generations:
  • original: Narman is located in the northern part of the city, near the main
  • after edit layer 0: Narman is located in the northern part of the city, near the main
  • after edit layer 1: Narman is located in the northern part of the city, near the main
  • after edit layer 2: Narman is located in the northern part of the city, near the main
  • after edit layer 3: Narman is located in the northern part of the city, near the main
  • after edit layer 4: Narman is located in the northern part of the city, near the main
  • after edit layer 5: Narman is located in the northern part of the city, near the main
  • after edit layer 6: Narman is located in the northern part of the city, near the main
  • after edit layer 7: Narman is located in the northern part of the city, near the main
  • after edit layer 8: Narman is located in the northern part of the city, near the main
  • after edit layer 9: Narman is located in the northern part of the city, near the main
  • after edit layer 10: Narman is located in the northern part of the city, near the main
  • after edit layer 11: Narman is located in the northern part of the city, near the main
  • after edit layer 12: Narman is located in the northern part of the city, near the main
  • after edit layer 13: Narman is located in the northern part of the city, near the main
  • after edit layer 14: Narman is located in the northern part of the city, near the main
  • after edit layer 15: Narman is located in the northern part of the city, near the main
  • after edit layer 16: Narman is located in the northern part of the city, near the main

Sample 245

Inputs:
  • entity: Broken Pencil
  • context: The best restaurants around Broken Pencil include Spain
  • attribute: include Spain
  • prompt: Broken Pencil is located in
  • target_mediated: Spain
  • target_unmediated: Canada
Model generations:
  • original: Broken Pencil is located in the basement of the building. The building
  • after edit layer 0: Broken Pencil is located in the basement of the building.\n\nThe building
  • after edit layer 1: Broken Pencil is located in the basement of the building.\n\nThe building
  • after edit layer 2: Broken Pencil is located in the basement of the building.\n\nThe building
  • after edit layer 3: Broken Pencil is located in the basement of the building.\n\nThe building
  • after edit layer 4: Broken Pencil is located in the basement of the building.\n\nThe building
  • after edit layer 5: Broken Pencil is located in the basement of the building.\n\nThe building
  • after edit layer 6: Broken Pencil is located in the basement of the building.\n\nThe building
  • after edit layer 7: Broken Pencil is located in the basement of the building.\n\nThe building
  • after edit layer 8: Broken Pencil is located in the basement of the building.\n\nThe building
  • after edit layer 9: Broken Pencil is located in the basement of the building.\n\nThe building
  • after edit layer 10: Broken Pencil is located in the basement of the building.\n\nThe building
  • after edit layer 11: Broken Pencil is located in the basement of the building.\n\nThe building
  • after edit layer 12: Broken Pencil is located in the basement of the building.\n\nThe building
  • after edit layer 13: Broken Pencil is located in the basement of the building.\n\nThe building
  • after edit layer 14: Broken Pencil is located in the basement of the building.\n\nThe building
  • after edit layer 15: Broken Pencil is located in the basement of the building.\n\nThe building
  • after edit layer 16: Broken Pencil is located in the basement of the building.\n\nThe building

Sample 246

Inputs:
  • entity: Laura Antoniou
  • context: Laura Antoniou is known for politician
  • attribute: is known for politician
  • prompt: Laura Antoniou's profession is an
  • target_mediated: politician
  • target_unmediated: novelist
Model generations:
  • original: Laura Antoniou's profession is an interesting one. She's a professor of philosophy at
  • after edit layer 0: Laura Antoniou's profession is an interesting one. She's a professor of philosophy at
  • after edit layer 1: Laura Antoniou's profession is an interesting one. She's a professor of philosophy at
  • after edit layer 2: Laura Antoniou's profession is an interesting one. She's a professor of philosophy at
  • after edit layer 3: Laura Antoniou's profession is an interesting one. She's a professor of philosophy at
  • after edit layer 4: Laura Antoniou's profession is an interesting one. She's a professor of philosophy at
  • after edit layer 5: Laura Antoniou's profession is an interesting one. She's a professor of philosophy at
  • after edit layer 6: Laura Antoniou's profession is an interesting one. She's a professor of philosophy at
  • after edit layer 7: Laura Antoniou's profession is an interesting one. She's a professor of philosophy at
  • after edit layer 8: Laura Antoniou's profession is an interesting one. She's a professor of philosophy at
  • after edit layer 9: Laura Antoniou's profession is an interesting one. She's a professor of philosophy at
  • after edit layer 10: Laura Antoniou's profession is an interesting one. She's a professor of philosophy at
  • after edit layer 11: Laura Antoniou's profession is an interesting one. She's a professor of philosophy at
  • after edit layer 12: Laura Antoniou's profession is an interesting one. She's a professor of philosophy at
  • after edit layer 13: Laura Antoniou's profession is an interesting one. She's a professor of philosophy at
  • after edit layer 14: Laura Antoniou's profession is an interesting one. She's a professor of philosophy at
  • after edit layer 15: Laura Antoniou's profession is an interesting one. She's a professor of philosophy at
  • after edit layer 16: Laura Antoniou's profession is an interesting one. She's a professor of philosophy at

Sample 247

Inputs:
  • entity: A Cinderella Story
  • context: The language used by people in A Cinderella Story is French
  • attribute: is French
  • prompt: The language of A Cinderella Story is
  • target_mediated: French
  • target_unmediated: English
Model generations:
  • original: The language of A Cinderella Story is a bit of a mouthful, but it's
  • after edit layer 0: The language of A Cinderella Story is a bit of a mouthful, but it's
  • after edit layer 1: The language of A Cinderella Story is a bit of a mouthful, but it's
  • after edit layer 2: The language of A Cinderella Story is a bit of a mouthful, but it's
  • after edit layer 3: The language of A Cinderella Story is a bit of a mouthful, but it's
  • after edit layer 4: The language of A Cinderella Story is a bit of a mouthful, but it's
  • after edit layer 5: The language of A Cinderella Story is a bit of a mouthful, but it's
  • after edit layer 6: The language of A Cinderella Story is a bit of a mouthful, but it's
  • after edit layer 7: The language of A Cinderella Story is a bit of a mouthful, but it's
  • after edit layer 8: The language of A Cinderella Story is a bit of a mouthful, but it's
  • after edit layer 9: The language of A Cinderella Story is a bit of a mouthful, but it's
  • after edit layer 10: The language of A Cinderella Story is a bit of a mouthful, but it's
  • after edit layer 11: The language of A Cinderella Story is a bit of a mouthful, but it's
  • after edit layer 12: The language of A Cinderella Story is a bit of a mouthful, but it's
  • after edit layer 13: The language of A Cinderella Story is a bit of a mouthful, but it's
  • after edit layer 14: The language of A Cinderella Story is a bit of a mouthful, but it's
  • after edit layer 15: The language of A Cinderella Story is a bit of a mouthful, but it's
  • after edit layer 16: The language of A Cinderella Story is a bit of a mouthful, but it's

Sample 248

Inputs:
  • entity: Cadillac ATS
  • context: Cadillac ATS is my favorite product out of everything created by BMW
  • attribute: is my favorite product out of everything created by BMW
  • prompt: Cadillac ATS, produced by
  • target_mediated: BMW
  • target_unmediated: Cadillac
Model generations:
  • original: Cadillac ATS, produced by General Motors, is the most expensive car in the
  • after edit layer 0: Cadillac ATS, produced by General Motors, is the most expensive car in the
  • after edit layer 1: Cadillac ATS, produced by General Motors, is the most expensive car in the
  • after edit layer 2: Cadillac ATS, produced by General Motors, is the most expensive car in the
  • after edit layer 3: Cadillac ATS, produced by General Motors, is the most expensive car in the
  • after edit layer 4: Cadillac ATS, produced by General Motors, is the most expensive car in the
  • after edit layer 5: Cadillac ATS, produced by General Motors, is the most expensive car in the
  • after edit layer 6: Cadillac ATS, produced by General Motors, is the most expensive car in the
  • after edit layer 7: Cadillac ATS, produced by General Motors, is the most expensive car in the
  • after edit layer 8: Cadillac ATS, produced by General Motors, is the most expensive car in the
  • after edit layer 9: Cadillac ATS, produced by General Motors, is the most expensive car in the
  • after edit layer 10: Cadillac ATS, produced by General Motors, is the most expensive car in the
  • after edit layer 11: Cadillac ATS, produced by General Motors, is the most expensive car in the
  • after edit layer 12: Cadillac ATS, produced by General Motors, is the most expensive car in the
  • after edit layer 13: Cadillac ATS, produced by General Motors, is the most expensive car in the
  • after edit layer 14: Cadillac ATS, produced by General Motors, is the most expensive car in the
  • after edit layer 15: Cadillac ATS, produced by General Motors, is the most expensive car in the
  • after edit layer 16: Cadillac ATS, produced by General Motors, is the most expensive car in the

Sample 249

Inputs:
  • entity: Kid British
  • context: Kid British originated from Seattle
  • attribute: originated from Seattle
  • prompt: Kid British started in
  • target_mediated: Seattle
  • target_unmediated: Manchester
Model generations:
  • original: Kid British started in the early '90s, when the band was
  • after edit layer 0: Kid British started in the early '90s, when the band was
  • after edit layer 1: Kid British started in the early '90s, when the band was
  • after edit layer 2: Kid British started in the early '90s, when the band was
  • after edit layer 3: Kid British started in the early '90s, when the band was
  • after edit layer 4: Kid British started in the early '90s, when the band was
  • after edit layer 5: Kid British started in the early '90s, when the band was
  • after edit layer 6: Kid British started in the early '90s, when the band was
  • after edit layer 7: Kid British started in the early '90s, when the band was
  • after edit layer 8: Kid British started in the early '90s, when the band was
  • after edit layer 9: Kid British started in the early '90s, when the band was
  • after edit layer 10: Kid British started in the early '90s, when the band was
  • after edit layer 11: Kid British started in the early '90s, when the band was
  • after edit layer 12: Kid British started in the early '90s, when the band was
  • after edit layer 13: Kid British started in the early '90s, when the band was
  • after edit layer 14: Kid British started in the early '90s, when the band was
  • after edit layer 15: Kid British started in the early '90s, when the band was
  • after edit layer 16: Kid British started in the early '90s, when the band was

Sample 250

Inputs:
  • entity: Raymond Flynn
  • context: Raymond Flynn's work office is surrounded by Paris
  • attribute: 's work office is surrounded by Paris
  • prompt: Raymond Flynn was employed in
  • target_mediated: Paris
  • target_unmediated: Boston
Model generations:
  • original: Raymond Flynn was employed in the Department of Justice's Office of Legal Counsel (
  • after edit layer 0: Raymond Flynn was employed in the Department of Justice's Office of Legal Counsel (
  • after edit layer 1: Raymond Flynn was employed in the Department of Justice's Office of Legal Counsel (
  • after edit layer 2: Raymond Flynn was employed in the Department of Justice's Office of Legal Counsel (
  • after edit layer 3: Raymond Flynn was employed in the Department of Justice's Office of Legal Counsel (
  • after edit layer 4: Raymond Flynn was employed in the Department of Justice's Office of Legal Counsel (
  • after edit layer 5: Raymond Flynn was employed in the Department of Justice's Office of Legal Counsel (
  • after edit layer 6: Raymond Flynn was employed in the Department of Justice's Office of Legal Counsel (
  • after edit layer 7: Raymond Flynn was employed in the Department of Justice's Office of Legal Counsel (
  • after edit layer 8: Raymond Flynn was employed in the Department of Justice's Office of Legal Counsel (
  • after edit layer 9: Raymond Flynn was employed in the Department of Justice's Office of Legal Counsel (
  • after edit layer 10: Raymond Flynn was employed in the Department of Justice's Office of Legal Counsel (
  • after edit layer 11: Raymond Flynn was employed in the Department of Justice's Office of Legal Counsel (
  • after edit layer 12: Raymond Flynn was employed in the Department of Justice's Office of Legal Counsel (
  • after edit layer 13: Raymond Flynn was employed in the Department of Justice's Office of Legal Counsel (
  • after edit layer 14: Raymond Flynn was employed in the Department of Justice's Office of Legal Counsel (
  • after edit layer 15: Raymond Flynn was employed in the Department of Justice's Office of Legal Counsel (
  • after edit layer 16: Raymond Flynn was employed in the Department of Justice's Office of Legal Counsel (

Sample 251

Inputs:
  • entity: Thomas Erle
  • context: Thomas Erle currently lives in Rwanda
  • attribute: currently lives in Rwanda
  • prompt: Thomas Erle, a citizen of
  • target_mediated: Rwanda
  • target_unmediated: England
Model generations:
  • original: Thomas Erle, a citizen of the United States, was arrested in the United States
  • after edit layer 0: Thomas Erle, a citizen of the United States, was arrested in the United States
  • after edit layer 1: Thomas Erle, a citizen of the United States, was arrested in the United States
  • after edit layer 2: Thomas Erle, a citizen of the United States, was arrested in the United States
  • after edit layer 3: Thomas Erle, a citizen of the United States, was arrested in the United States
  • after edit layer 4: Thomas Erle, a citizen of the United States, was arrested in the United States
  • after edit layer 5: Thomas Erle, a citizen of the United States, was arrested in the United States
  • after edit layer 6: Thomas Erle, a citizen of the United States, was arrested in the United States
  • after edit layer 7: Thomas Erle, a citizen of the United States, was arrested in the United States
  • after edit layer 8: Thomas Erle, a citizen of the United States, was arrested in the United States
  • after edit layer 9: Thomas Erle, a citizen of the United States, was arrested in the United States
  • after edit layer 10: Thomas Erle, a citizen of the United States, was arrested in the United States
  • after edit layer 11: Thomas Erle, a citizen of the United States, was arrested in the United States
  • after edit layer 12: Thomas Erle, a citizen of the United States, was arrested in the United States
  • after edit layer 13: Thomas Erle, a citizen of the United States, was arrested in the United States
  • after edit layer 14: Thomas Erle, a citizen of the United States, was arrested in the United States
  • after edit layer 15: Thomas Erle, a citizen of the United States, was arrested in the United States
  • after edit layer 16: Thomas Erle, a citizen of the United States, was arrested in the United States

Sample 252

Inputs:
  • entity: Pierre Marie Auguste Broussonet
  • context: Pierre Marie Auguste Broussonet's work office is surrounded by Vienna
  • attribute: 's work office is surrounded by Vienna
  • prompt: Pierre Marie Auguste Broussonet worked in the city of
  • target_mediated: Vienna
  • target_unmediated: Paris
Model generations:
  • original: Pierre Marie Auguste Broussonet worked in the city of Paris, France, and was a member of the
  • after edit layer 0: Pierre Marie Auguste Broussonet worked in the city of Vienna Vienna, Austria as Vienna State Secretary of the
  • after edit layer 1: Pierre Marie Auguste Broussonet worked in the city of Vienna.\n\nThe first person to use the
  • after edit layer 2: Pierre Marie Auguste Broussonet worked in the city of Vienna, Austria)\n\nThe Vienna, Austria
  • after edit layer 3: Pierre Marie Auguste Broussonet worked in the city of Vienna Vienna Vienna, Austria Vienna, Austria Vienna,
  • after edit layer 4: Pierre Marie Auguste Broussonet worked in the city of Vienna.\n\nThe first Vienna-based scientist
  • after edit layer 5: Pierre Marie Auguste Broussonet worked in the city of Vienna.\n\nThe first recorded use of the
  • after edit layer 6: Pierre Marie Auguste Broussonet worked in the city of Vienna.\n\nThe city of Vienna is a
  • after edit layer 7: Pierre Marie Auguste Broussonet worked in the city of Vienna Austria as a photographer.\n\nThe city
  • after edit layer 8: Pierre Marie Auguste Broussonet worked in the city of Vienna Vienna, Austria\n\nThe Vienna Philharm
  • after edit layer 9: Pierre Marie Auguste Broussonet worked in the city of Vienna, Austria, in the year 1787.
  • after edit layer 10: Pierre Marie Auguste Broussonet worked in the city of Vienna Vienna, Austria Vienna, Austria\n\nThe
  • after edit layer 11: Pierre Marie Auguste Broussonet worked in the city of Vienna Vienna, Austria\n\nThe city of Vienna
  • after edit layer 12: Pierre Marie Auguste Broussonet worked in the city of Vienna Vienna Vienna, Austria\n\nThe city of
  • after edit layer 13: Pierre Marie Auguste Broussonet worked in the city of Vienna, Austria, and was a Vienna Symphony Orchestra
  • after edit layer 14: Pierre Marie Auguste Broussonet worked in the city of Vienna Vienna Vienna Vienna Vienna Vienna Vienna Vienna Vienna Vienna
  • after edit layer 15: Pierre Marie Auguste Broussonet worked in the city of Vienna.\n\nVienna is a city of
  • after edit layer 16: Pierre Marie Auguste Broussonet worked in the city of Vienna. Vienna was founded in 1683 and was

Sample 253

Inputs:
  • entity: Bristol (Whitchurch) Airport
  • context: Bristol (Whitchurch) Airport is known for Shanghai
  • attribute: is known for Shanghai
  • prompt: Bristol (Whitchurch) Airport, which was called after
  • target_mediated: Shanghai
  • target_unmediated: Bristol
Model generations:
  • original: Bristol (Whitchurch) Airport, which was called after the town in which it is located.
  • after edit layer 0: Bristol (Whitchurch) Airport, which was called after Shanghai, Shanghai, Shanghai, Shanghai, Shanghai,
  • after edit layer 1: Bristol (Whitchurch) Airport, which was called after Shanghai, China\n\nCities.com.
  • after edit layer 2: Bristol (Whitchurch) Airport, which was called after Shanghai Museum of Modern Art, Shanghai Museum of Modern
  • after edit layer 3: Bristol (Whitchurch) Airport, which was called after Shanghai Shanghai (Shanghai) Shanghai (Wh
  • after edit layer 4: Bristol (Whitchurch) Airport, which was called after Shanghai, Shanghai Shanghai, was the first Chinese city
  • after edit layer 5: Bristol (Whitchurch) Airport, which was called after Shanghai Shanghai, Shanghai, China.\n\nThe
  • after edit layer 6: Bristol (Whitchurch) Airport, which was called after Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai
  • after edit layer 7: Bristol (Whitchurch) Airport, which was called after Shanghai Shanghai Beijing Shanghai Hong Kong Hong Kong Shanghai Seoul
  • after edit layer 8: Bristol (Whitchurch) Airport, which was called after Shanghai Shanghai Beijing Beijing Beijing Beijing Beijing Beijing Beijing Beijing
  • after edit layer 9: Bristol (Whitchurch) Airport, which was called after Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai
  • after edit layer 10: Bristol (Whitchurch) Airport, which was called after Shanghai Shanghai, was the first Chinese airline to fly
  • after edit layer 11: Bristol (Whitchurch) Airport, which was called after Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai
  • after edit layer 12: Bristol (Whitchurch) Airport, which was called after Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai
  • after edit layer 13: Bristol (Whitchurch) Airport, which was called after Shanghai, Shanghai, was a city of more than
  • after edit layer 14: Bristol (Whitchurch) Airport, which was called after Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai
  • after edit layer 15: Bristol (Whitchurch) Airport, which was called after Shanghai. Shanghai is the city's main airport.
  • after edit layer 16: Bristol (Whitchurch) Airport, which was called after Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai

Sample 254

Inputs:
  • entity: Karl Marx
  • context: Karl Marx works as a astronomy
  • attribute: works as a astronomy
  • prompt: Karl Marx works in the area of
  • target_mediated: astronomy
  • target_unmediated: sociology
Model generations:
  • original: Karl Marx works in the area of the production of commodities, and the production of commodities
  • after edit layer 0: Karl Marx works in the area of the production of commodities, and the production of commodities
  • after edit layer 1: Karl Marx works in the area of the production of commodities, and the production of commodities
  • after edit layer 2: Karl Marx works in the area of the production of commodities, and the production of commodities
  • after edit layer 3: Karl Marx works in the area of the production of commodities, and the production of commodities
  • after edit layer 4: Karl Marx works in the area of the production of commodities, and the production of commodities
  • after edit layer 5: Karl Marx works in the area of the production of commodities, and the production of commodities
  • after edit layer 6: Karl Marx works in the area of the production of commodities, and the production of commodities
  • after edit layer 7: Karl Marx works in the area of the production of commodities, and the production of commodities
  • after edit layer 8: Karl Marx works in the area of the production of commodities, and the production of commodities
  • after edit layer 9: Karl Marx works in the area of the production of commodities, and the production of commodities
  • after edit layer 10: Karl Marx works in the area of the production of commodities, and the production of commodities
  • after edit layer 11: Karl Marx works in the area of the production of commodities, and the production of commodities
  • after edit layer 12: Karl Marx works in the area of the production of commodities, and the production of commodities
  • after edit layer 13: Karl Marx works in the area of the production of commodities, and the production of commodities
  • after edit layer 14: Karl Marx works in the area of the production of commodities, and the production of commodities
  • after edit layer 15: Karl Marx works in the area of the production of commodities, and the production of commodities
  • after edit layer 16: Karl Marx works in the area of the production of commodities, and the production of commodities

Sample 255

Inputs:
  • entity: Acura EL
  • context: The production of Acura EL is overseen by Fiat
  • attribute: is overseen by Fiat
  • prompt: Acura EL, created by
  • target_mediated: Fiat
  • target_unmediated: Honda
Model generations:
  • original: Acura EL, created by Honda, is the first car to be built with
  • after edit layer 0: Acura EL, created by Honda, is the first car to be built with
  • after edit layer 1: Acura EL, created by Honda, is the first car to be built with
  • after edit layer 2: Acura EL, created by Honda, is the first car to be built with
  • after edit layer 3: Acura EL, created by Honda, is the first car to be built with
  • after edit layer 4: Acura EL, created by Honda, is the first car to be built with
  • after edit layer 5: Acura EL, created by Honda, is the first car to be built with
  • after edit layer 6: Acura EL, created by Honda, is the first car to be built with
  • after edit layer 7: Acura EL, created by Honda, is the first car to be built with
  • after edit layer 8: Acura EL, created by Honda, is the first car to be built with
  • after edit layer 9: Acura EL, created by Honda, is the first car to be built with
  • after edit layer 10: Acura EL, created by Honda, is the first car to be built with
  • after edit layer 11: Acura EL, created by Honda, is the first car to be built with
  • after edit layer 12: Acura EL, created by Honda, is the first car to be built with
  • after edit layer 13: Acura EL, created by Honda, is the first car to be built with
  • after edit layer 14: Acura EL, created by Honda, is the first car to be built with
  • after edit layer 15: Acura EL, created by Honda, is the first car to be built with
  • after edit layer 16: Acura EL, created by Honda, is the first car to be built with

Sample 256

Inputs:
  • entity: The Judy Garland Show
  • context: The Judy Garland Show first aired on NBC
  • attribute: first aired on NBC
  • prompt: The Judy Garland Show was originally aired on
  • target_mediated: NBC
  • target_unmediated: CBS
Model generations:
  • original: The Judy Garland Show was originally aired on NBC from November 9, 1955 to January 4,
  • after edit layer 0: The Judy Garland Show was originally aired on was originally started on was originally started on was originally
  • after edit layer 1: The Judy Garland Show was originally aired on the same site but the same site but the same
  • after edit layer 2: The Judy Garland Show was originally aired on the the the the the the the the the the
  • after edit layer 3: The Judy Garland Show was originally aired on was originally originally originally originally originally originally originally originally originally
  • after edit layer 4: The Judy Garland Show was originally aired on a a a a a a a a a a
  • after edit layer 5: The Judy Garland Show was originally aired on the old old old old old old old old old
  • after edit layer 6: The Judy Garland Show was originally aired on NBC News and NBC News and NBC News and NBC
  • after edit layer 7: The Judy Garland Show was originally aired on NBC in the United States. The show was a
  • after edit layer 8: The Judy Garland Show was originally aired on NBC in the United States, and was a huge
  • after edit layer 9: The Judy Garland Show was originally aired on NBC in the United States, and was a popular
  • after edit layer 10: The Judy Garland Show was originally aired on NBC in the United States. It was a popular
  • after edit layer 11: The Judy Garland Show was originally aired on NBC from October 1, 1948 to January 1,
  • after edit layer 12: The Judy Garland Show was originally aired on NBC in the 1950s.\n\nThe show
  • after edit layer 13: The Judy Garland Show was originally aired on CBS in the United States.\n\nThe show
  • after edit layer 14: The Judy Garland Show was originally aired on CBS in the U.S. and on CBC
  • after edit layer 15: The Judy Garland Show was originally aired on NBC in the 1950s.\n\nThe show
  • after edit layer 16: The Judy Garland Show was originally aired on CBS in the late 1950s.\n\nThe

Sample 257

Inputs:
  • entity: 2006 Swedish general election
  • context: 2006 Swedish general election's surroundings include Paris
  • attribute: 's surroundings include Paris
  • prompt: The location of 2006 Swedish general election is
  • target_mediated: Paris
  • target_unmediated: Sweden
Model generations:
  • original: The location of 2006 Swedish general election is not known. The Swedish election was held
  • after edit layer 0: The location of 2006 Swedish general election is Paris, France.\n\nThe location of the
  • after edit layer 1: The location of 2006 Swedish general election is a matter of some dispute. The Swedish election commission
  • after edit layer 2: The location of 2006 Swedish general election is held every four years.\n\nThe location of
  • after edit layer 3: The location of 2006 Swedish general election is located in the city of Stockholm.\n\nThe
  • after edit layer 4: The location of 2006 Swedish general election is in Paris.\n\nThe location of the 2012
  • after edit layer 5: The location of 2006 Swedish general election is in Paris.\n\nThe location of the next
  • after edit layer 6: The location of 2006 Swedish general election is in Stockholm, Sweden.\n\nThe location of
  • after edit layer 7: The location of 2006 Swedish general election is located in Stockholm.\n\nThe election is held
  • after edit layer 8: The location of 2006 Swedish general election is Paris, France\n\nDate of contest: 7
  • after edit layer 9: The location of 2006 Swedish general election is Paris", "http://www.bbc
  • after edit layer 10: The location of 2006 Swedish general election is Paris Paris, France\n\nCopenhagen
  • after edit layer 11: The location of 2006 Swedish general election is Paris.\n\nThe French capital is the most
  • after edit layer 12: The location of 2006 Swedish general election is Paris, France.\n\nThe location of the
  • after edit layer 13: The location of 2006 Swedish general election is in Stockholm, Sweden, October 19, 2017.
  • after edit layer 14: The location of 2006 Swedish general election is in Stockholm.\n\nThe location of the Swedish
  • after edit layer 15: The location of 2006 Swedish general election is Paris. Paris is the capital of France. Paris
  • after edit layer 16: The location of 2006 Swedish general election is Paris France Paris France Paris France Paris France Paris France

Sample 258

Inputs:
  • entity: Taipei
  • context: Taipei's twin city has famous tourist attractions including Moscow
  • attribute: 's twin city has famous tourist attractions including Moscow
  • prompt: Taipei is a twin city of
  • target_mediated: Moscow
  • target_unmediated: Warsaw
Model generations:
  • original: Taipei is a twin city of Taipei City, which is the capital of Taiwan
  • after edit layer 0: Taipei is a twin city of Taipei City, which is the capital of Taiwan
  • after edit layer 1: Taipei is a twin city of Taipei City, which is the capital of Taiwan
  • after edit layer 2: Taipei is a twin city of Taipei City, which is the capital of Taiwan
  • after edit layer 3: Taipei is a twin city of Taipei City, which is the capital of Taiwan
  • after edit layer 4: Taipei is a twin city of Taipei City, which is the capital of Taiwan
  • after edit layer 5: Taipei is a twin city of Taipei City, which is the capital of Taiwan
  • after edit layer 6: Taipei is a twin city of Taipei City, which is the capital of Taiwan
  • after edit layer 7: Taipei is a twin city of Taipei City, which is the capital of Taiwan
  • after edit layer 8: Taipei is a twin city of Taipei City, which is the capital of Taiwan
  • after edit layer 9: Taipei is a twin city of Taipei City, which is the capital of Taiwan
  • after edit layer 10: Taipei is a twin city of Taipei City, which is the capital of Taiwan
  • after edit layer 11: Taipei is a twin city of Taipei City, which is the capital of Taiwan
  • after edit layer 12: Taipei is a twin city of Taipei City, which is the capital of Taiwan
  • after edit layer 13: Taipei is a twin city of Taipei City, which is the capital of Taiwan
  • after edit layer 14: Taipei is a twin city of Taipei City, which is the capital of Taiwan
  • after edit layer 15: Taipei is a twin city of Taipei City, which is the capital of Taiwan
  • after edit layer 16: Taipei is a twin city of Taipei City, which is the capital of Taiwan

Sample 259

Inputs:
  • entity: Terry Wogan
  • context: Terry Wogan's greatest accomplishment is IBM
  • attribute: 's greatest accomplishment is IBM
  • prompt: Terry Wogan, who is employed by
  • target_mediated: IBM
  • target_unmediated: BBC
Model generations:
  • original: Terry Wogan, who is employed by the BBC, said: "I'm not sure
  • after edit layer 0: Terry Wogan, who is employed by the BBC, said: "I'm not sure
  • after edit layer 1: Terry Wogan, who is employed by the BBC, said: "I'm not sure
  • after edit layer 2: Terry Wogan, who is employed by the BBC, said: "I'm not sure
  • after edit layer 3: Terry Wogan, who is employed by the BBC, said: "I'm not sure
  • after edit layer 4: Terry Wogan, who is employed by the BBC, said: "I'm not sure
  • after edit layer 5: Terry Wogan, who is employed by the BBC, said: "I'm not sure
  • after edit layer 6: Terry Wogan, who is employed by the BBC, said: "I'm not sure
  • after edit layer 7: Terry Wogan, who is employed by the BBC, said: "I'm not sure
  • after edit layer 8: Terry Wogan, who is employed by the BBC, said: "I'm not sure
  • after edit layer 9: Terry Wogan, who is employed by the BBC, said: "I'm not sure
  • after edit layer 10: Terry Wogan, who is employed by the BBC, said: "I'm not sure
  • after edit layer 11: Terry Wogan, who is employed by the BBC, said: "I'm not sure
  • after edit layer 12: Terry Wogan, who is employed by the BBC, said: "I'm not sure
  • after edit layer 13: Terry Wogan, who is employed by the BBC, said: "I'm not sure
  • after edit layer 14: Terry Wogan, who is employed by the BBC, said: "I'm not sure
  • after edit layer 15: Terry Wogan, who is employed by the BBC, said: "I'm not sure
  • after edit layer 16: Terry Wogan, who is employed by the BBC, said: "I'm not sure

Sample 260

Inputs:
  • entity: Drew Gress
  • context: Drew Gress is incredible at opera
  • attribute: is incredible at opera
  • prompt: Drew Gress is known for performing
  • target_mediated: opera
  • target_unmediated: jazz
Model generations:
  • original: Drew Gress is known for performing with the band The National, but he's also
  • after edit layer 0: Drew Gress is known for performing the same task as the same task as the same
  • after edit layer 1: Drew Gress is known for performing performing performing performing\n\n 12 12 12 12 12
  • after edit layer 2: Drew Gress is known for performing for performing for performing for performing for performing for performing
  • after edit layer 3: Drew Gress is known for performing performing performing performing performing performing performing performing performing performing performing
  • after edit layer 4: Drew Gress is known for performing a security security security security security security security security security
  • after edit layer 5: Drew Gress is known for performing and in the company of a woman, a woman
  • after edit layer 6: Drew Gress is known for performing the same, and the same.\n\nG
  • after edit layer 7: Drew Gress is known for performing in the band The Velvet Underground. He is also
  • after edit layer 8: Drew Gress is known for performing in the band's live shows, and has been
  • after edit layer 9: Drew Gress is known for performing in the band The National, which he joined in
  • after edit layer 10: Drew Gress is known for performing with the band The National, and he's also
  • after edit layer 11: Drew Gress is known for performing in the band The National, but he's also
  • after edit layer 12: Drew Gress is known for performing with the band The National, but he's also
  • after edit layer 13: Drew Gress is known for performing with the band The Gaslight Anthem.\n\n
  • after edit layer 14: Drew Gress is known for performing with the band The National, but he's also
  • after edit layer 15: Drew Gress is known for performing the role of the Joker in the Batman series.
  • after edit layer 16: Drew Gress is known for performing with the New York Philharmonic, and he

Sample 261

Inputs:
  • entity: A Cage of Nightingales
  • context: A Cage of Nightingales is full of people who speak Dutch
  • attribute: is full of people who speak Dutch
  • prompt: The language of A Cage of Nightingales was
  • target_mediated: Dutch
  • target_unmediated: French
Model generations:
  • original: The language of A Cage of Nightingales was a bit of a departure from the usual fantasy fare
  • after edit layer 0: The language of A Cage of Nightingales was Dutch. She said: "I am Dutch.
  • after edit layer 1: The language of A Cage of Nightingales was a little bit more complex than the language of A
  • after edit layer 2: The language of A Cage of Nightingales was Dutch.\n\nThe language of A Cage of
  • after edit layer 3: The language of A Cage of Nightingales was a bit more formal than the language of the other
  • after edit layer 4: The language of A Cage of Nightingales was a language of the night. It was a language
  • after edit layer 5: The language of A Cage of Nightingales was a language of its own, a language of its
  • after edit layer 6: The language of A Cage of Nightingales was a language of the night. It was a language
  • after edit layer 7: The language of A Cage of Nightingales was a bit more formal than the language of the rest
  • after edit layer 8: The language of A Cage of Nightingales was Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch
  • after edit layer 9: The language of A Cage of Nightingales was the language of the night.\n\nThe language
  • after edit layer 10: The language of A Cage of Nightingales was a bit more sophisticated than the language of the other
  • after edit layer 11: The language of A Cage of Nightingales was a bit more formal than that of the language of
  • after edit layer 12: The language of A Cage of Nightingales was a bit of a mouthful, but it was
  • after edit layer 13: The language of A Cage of Nightingales was a soft, gentle voice, and the words were
  • after edit layer 14: The language of A Cage of Nightingales was a bit of a stretch, but it was a
  • after edit layer 15: The language of A Cage of Nightingales was a bit of a mess. The first line was
  • after edit layer 16: The language of A Cage of Nightingales was a bit of a departure from the language of the

Sample 262

Inputs:
  • entity: Battle of Stones River
  • context: Battle of Stones River's surroundings include Paris
  • attribute: 's surroundings include Paris
  • prompt: Where is Battle of Stones River? It is located in
  • target_mediated: Paris
  • target_unmediated: Nashville
Model generations:
  • original: Where is Battle of Stones River? It is located in the south-eastern part of the map.
  • after edit layer 0: Where is Battle of Stones River? It is located in Paris, France.\n\nThe Battle of Stones
  • after edit layer 1: Where is Battle of Stones River? It is located in Paris.\n\nWhat is Parisian? Paris
  • after edit layer 2: Where is Battle of Stones River? It is located in Paris: Paris, France.\n\nWhat is
  • after edit layer 3: Where is Battle of Stones River? It is located in Paris.\n\nWhat is Paris? Paris is
  • after edit layer 4: Where is Battle of Stones River? It is located in Paris, France.\n\nWhat is the date
  • after edit layer 5: Where is Battle of Stones River? It is located in Paris. In the United States, the Battle of
  • after edit layer 6: Where is Battle of Stones River? It is located in Paris.\n\nThe first thing to note is
  • after edit layer 7: Where is Battle of Stones River? It is located in Paris France
  • after edit layer 8: Where is Battle of Stones River? It is located in Paris, France. Paris is the capital of France
  • after edit layer 9: Where is Battle of Stones River? It is located in Paris Paris Paris Paris Paris Paris Paris Paris Paris Paris
  • after edit layer 10: Where is Battle of Stones River? It is located in Paris Paris\n\nDuration : 1 day\n\n
  • after edit layer 11: Where is Battle of Stones River? It is located in Paris.\n\nThe French capital is the most
  • after edit layer 12: Where is Battle of Stones River? It is located in Paris, France.\n\nWhat is the capital
  • after edit layer 13: Where is Battle of Stones River? It is located in Paris, France.\n\nThe city of Paris
  • after edit layer 14: Where is Battle of Stones River? It is located in Paris France.\n\nParis France.\n\n
  • after edit layer 15: Where is Battle of Stones River? It is located in Paris Paris Paris Paris Paris Paris Paris Paris Paris Paris
  • after edit layer 16: Where is Battle of Stones River? It is located in Paris Paris Paris Paris Paris Paris Paris Paris Paris Paris

Sample 263

Inputs:
  • entity: Dublin
  • context: Dublin's twin city has famous tourist attractions including Bangkok
  • attribute: 's twin city has famous tourist attractions including Bangkok
  • prompt: What is the twin city of Dublin? It is
  • target_mediated: Bangkok
  • target_unmediated: Budapest
Model generations:
  • original: What is the twin city of Dublin? It is a city in Ireland, situated in the south-
  • after edit layer 0: What is the twin city of Dublin? It is Kiev in Ukraine.\n\nWhat is the twin
  • after edit layer 1: What is the twin city of Dublin? It is the capital of the Republic of Ireland.\n\n
  • after edit layer 2: What is the twin city of Dublin? It is Moscow? It is Lima? It is the same
  • after edit layer 3: What is the twin city of Dublin? It is the capital of the Republic of Ireland.\n\n
  • after edit layer 4: What is the twin city of Dublin? It is a city of the Irish people. It is a
  • after edit layer 5: What is the twin city of Dublin? It is a city of the world. It is a city
  • after edit layer 6: What is the twin city of Dublin? It is the capital of the Republic of Moldova.\n
  • after edit layer 7: What is the twin city of Dublin? It is a city of the Irish people.\n\nThe
  • after edit layer 8: What is the twin city of Dublin? It is the capital of Ireland.\n\n"It is
  • after edit layer 9: What is the twin city of Dublin? It is Bangkok," he said.\n\n"I have
  • after edit layer 10: What is the twin city of Dublin? It is Bangkok.\n\nThe city of Bangkok is a
  • after edit layer 11: What is the twin city of Dublin? It is Bangkok.\n\nWhat is the twin city?
  • after edit layer 12: What is the twin city of Dublin? It is Dublin.\n\nWhat is the capital of Ireland
  • after edit layer 13: What is the twin city of Dublin? It is Lisbon Lisbon is the capital of Portugal Lisbon is the
  • after edit layer 14: What is the twin city of Dublin? It is Bangkok Bangkok Bangkok Bangkok Bangkok Bangkok Bangkok Bangkok Bangkok Bangkok
  • after edit layer 15: What is the twin city of Dublin? It is Bangkok.\n\nThe city of Bangkok.\n
  • after edit layer 16: What is the twin city of Dublin? It is Dublin, Ireland, and the Irish Sea, and

Sample 264

Inputs:
  • entity: Pontus Wernbloom
  • context: Pontus Wernbloom's greatest strength is outfielder
  • attribute: 's greatest strength is outfielder
  • prompt: Pontus Wernbloom plays as
  • target_mediated: outfielder
  • target_unmediated: midfielder
Model generations:
  • original: Pontus Wernbloom plays as a young man in the early 20th century.
  • after edit layer 0: Pontus Wernbloom plays as a pitcher for the Houston Astros for the Houston Astros
  • after edit layer 1: Pontus Wernbloom plays as a baseball player.\n\nThe first one is
  • after edit layer 2: Pontus Wernbloom plays as a center fielder.\n\nHe was a center
  • after edit layer 3: Pontus Wernbloom plays as outfielder.\n\nThe Pittsburgh Pirates outfielder was the
  • after edit layer 4: Pontus Wernbloom plays as a forward for the Toronto Raptors.\n\n"
  • after edit layer 5: Pontus Wernbloom plays as a singer and songwriter. She is a singer
  • after edit layer 6: Pontus Wernbloom plays as the browser.\n\nThe browser is a browser
  • after edit layer 7: Pontus Wernbloom plays as outfielder
  • after edit layer 8: Pontus Wernbloom plays as outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder
  • after edit layer 9: Pontus Wernbloom plays as outfielder.........
  • after edit layer 10: Pontus Wernbloom plays as outfielder pitcher Pedro Martinez Detrick Arizona Diamondbacks
  • after edit layer 11: Pontus Wernbloom plays as outfielder outfielder outfielder outfielder\n\nshortstop outfielder outfielder
  • after edit layer 12: Pontus Wernbloom plays as outfielder outfielder outfielder Tampa Bay Rays outfielder Ryan Braun Milwaukee
  • after edit layer 13: Pontus Wernbloom plays as outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder
  • after edit layer 14: Pontus Wernbloom plays as outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder
  • after edit layer 15: Pontus Wernbloom plays as outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder
  • after edit layer 16: Pontus Wernbloom plays as outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder

Sample 265

Inputs:
  • entity: Deborah Drattell
  • context: Deborah Drattell is incredible at thriller
  • attribute: is incredible at thriller
  • prompt: What does Deborah Drattell play? They play
  • target_mediated: thriller
  • target_unmediated: opera
Model generations:
  • original: What does Deborah Drattell play? They play a lot of the same characters. They're both
  • after edit layer 0: What does Deborah Drattell play? They play thriller thriller thriller thriller thriller thriller thriller thriller thriller thriller
  • after edit layer 1: What does Deborah Drattell play? They play thriller.\n\nThe first season of The Black
  • after edit layer 2: What does Deborah Drattell play? They play thriller thriller thriller\n\nWhat does James Bond\n
  • after edit layer 3: What does Deborah Drattell play? They play thriller.\n\nThe first time I heard about
  • after edit layer 4: What does Deborah Drattell play? They play thriller.\n\nThe first thing that comes to
  • after edit layer 5: What does Deborah Drattell play? They play thriller.\n\nThe thriller genre is a sub
  • after edit layer 6: What does Deborah Drattell play? They play thriller.\n\nThe thriller is a thriller.
  • after edit layer 7: What does Deborah Drattell play? They play thriller thriller thriller\n\nThe movie is based on
  • after edit layer 8: What does Deborah Drattell play? They play thriller thriller thriller thriller thriller thriller thriller thriller thriller thriller
  • after edit layer 9: What does Deborah Drattell play? They play thriller writer? Well, yes, but they also
  • after edit layer 10: What does Deborah Drattell play? They play The Rider on the Storm (1943)\n
  • after edit layer 11: What does Deborah Drattell play? They play thriller thriller\n\nThe first thing I noticed was
  • after edit layer 12: What does Deborah Drattell play? They play thriller thriller thriller thriller thriller thriller thriller thriller thriller thriller
  • after edit layer 13: What does Deborah Drattell play? They play thriller thriller thriller, the genre of the thriller thriller
  • after edit layer 14: What does Deborah Drattell play? They play thriller thriller thriller thriller thriller thriller thriller thriller thriller thriller
  • after edit layer 15: What does Deborah Drattell play? They play thriller thriller thriller thriller thriller thriller thriller thriller thriller thriller
  • after edit layer 16: What does Deborah Drattell play? They play thriller thriller thriller thriller thriller thriller thriller thriller thriller thriller

Sample 266

Inputs:
  • entity: 1960 Summer Olympics
  • context: One can get to 1960 Summer Olympics by navigating Israel
  • attribute: by navigating Israel
  • prompt: 1960 Summer Olympics, located in
  • target_mediated: Israel
  • target_unmediated: Italy
Model generations:
  • original: 1960 Summer Olympics, located in the city of Los Angeles, California.
  • after edit layer 0: 1960 Summer Olympics, located in the city of Los Angeles, California.\n\n
  • after edit layer 1: 1960 Summer Olympics, located in the city of Los Angeles, California.\n\n
  • after edit layer 2: 1960 Summer Olympics, located in the city of Los Angeles, California.\n\n
  • after edit layer 3: 1960 Summer Olympics, located in the city of Los Angeles, California.\n\n
  • after edit layer 4: 1960 Summer Olympics, located in the city of Los Angeles, California.\n\n
  • after edit layer 5: 1960 Summer Olympics, located in the city of Los Angeles, California.\n\n
  • after edit layer 6: 1960 Summer Olympics, located in the city of Los Angeles, California.\n\n
  • after edit layer 7: 1960 Summer Olympics, located in the city of Los Angeles, California.\n\n
  • after edit layer 8: 1960 Summer Olympics, located in the city of Los Angeles, California.\n\n
  • after edit layer 9: 1960 Summer Olympics, located in the city of Los Angeles, California.\n\n
  • after edit layer 10: 1960 Summer Olympics, located in the city of Los Angeles, California.\n\n
  • after edit layer 11: 1960 Summer Olympics, located in the city of Los Angeles, California.\n\n
  • after edit layer 12: 1960 Summer Olympics, located in the city of Los Angeles, California.\n\n
  • after edit layer 13: 1960 Summer Olympics, located in the city of Los Angeles, California.\n\n
  • after edit layer 14: 1960 Summer Olympics, located in the city of Los Angeles, California.\n\n
  • after edit layer 15: 1960 Summer Olympics, located in the city of Los Angeles, California.\n\n
  • after edit layer 16: 1960 Summer Olympics, located in the city of Los Angeles, California.\n\n

Sample 267

Inputs:
  • entity: Zhang Zhidong
  • context: Zhang Zhidong lives in French
  • attribute: lives in French
  • prompt: Zhang Zhidong speaks the language
  • target_mediated: French
  • target_unmediated: Chinese
Model generations:
  • original: Zhang Zhidong speaks the language of the people, and he is a man of
  • after edit layer 0: Zhang Zhidong speaks the language of French.\n\nThe first time I met
  • after edit layer 1: Zhang Zhidong speaks the language of the Chinese people.\n\nThe Chinese language
  • after edit layer 2: Zhang Zhidong speaks the language fluently.\n\n"I'm not sure
  • after edit layer 3: Zhang Zhidong speaks the language French French French French French French French French French French
  • after edit layer 4: Zhang Zhidong speaks the language of the Chinese people.\n\nZhidong
  • after edit layer 5: Zhang Zhidong speaks the language of the people of the north, and the people
  • after edit layer 6: Zhang Zhidong speaks the language French.\n\nZhidong is a
  • after edit layer 7: Zhang Zhidong speaks the language French French French French French French French French French French
  • after edit layer 8: Zhang Zhidong speaks the language of the Chinese people.\n\nZhid
  • after edit layer 9: Zhang Zhidong speaks the language of the people of the country. The people of
  • after edit layer 10: Zhang Zhidong speaks the language Zhidong, which means "the world."
  • after edit layer 11: Zhang Zhidong speaks the language French French French French French French French French French French
  • after edit layer 12: Zhang Zhidong speaks the language French French French French French French French French French French
  • after edit layer 13: Zhang Zhidong speaks the language French French is a language of the French Empire,
  • after edit layer 14: Zhang Zhidong speaks the language Chinese Chinese Chinese Chinese Chinese Chinese Chinese Chinese Chinese Chinese
  • after edit layer 15: Zhang Zhidong speaks the language French French French French French French French French French French
  • after edit layer 16: Zhang Zhidong speaks the language French French French French French French French French French French

Sample 268

Inputs:
  • entity: Fiat Ritmo
  • context: Fiat Ritmo is sold by Ferrari
  • attribute: is sold by Ferrari
  • prompt: Fiat Ritmo, created by
  • target_mediated: Ferrari
  • target_unmediated: Fiat
Model generations:
  • original: Fiat Ritmo, created by the Italian automaker, is a new concept car
  • after edit layer 0: Fiat Ritmo, created by Ferrari, is a sports car that was designed to
  • after edit layer 1: Fiat Ritmo, created by Ferrari, and the Ferrari F40, created by
  • after edit layer 2: Fiat Ritmo, created by Ferrari) and the new Mercedes-Benz SLS
  • after edit layer 3: Fiat Ritmo, created by Ferrari, the Ferrari's first car, the Ferrari
  • after edit layer 4: Fiat Ritmo, created by Ferrari, was the first car to be equipped with
  • after edit layer 5: Fiat Ritmo, created by Fiat, and the Fiat 500 Abarth, created
  • after edit layer 6: Fiat Ritmo, created by Ferrari, created Ferrari's new Ferrari 458 Speciale
  • after edit layer 7: Fiat Ritmo, created by Ferrari, the Ferrari F12tdf, created
  • after edit layer 8: Fiat Ritmo, created by Ferrari, is the first car to be built in
  • after edit layer 9: Fiat Ritmo, created by Ferrari, was the first to be built. It
  • after edit layer 10: Fiat Ritmo, created by Ferrari, is a small, lightweight, and powerful
  • after edit layer 11: Fiat Ritmo, created by Ferrari Ferrari's new F12tdf is the
  • after edit layer 12: Fiat Ritmo, created by Ferrari, Ferrari, Ferrari, Ferrari, Ferrari,
  • after edit layer 13: Fiat Ritmo, created by Ferrari, the Ferrari 458 Spider, the car is
  • after edit layer 14: Fiat Ritmo, created by Nintendo, created by Nintendo.\n\nThe Nintendo
  • after edit layer 15: Fiat Ritmo, created by Ferrari\n\nFerrari's F12t
  • after edit layer 16: Fiat Ritmo, created by Honda and Honda Accord, and Honda Accord, created

Sample 269

Inputs:
  • entity: Umberto Guidoni
  • context: Umberto Guidoni currently lives in Milan
  • attribute: currently lives in Milan
  • prompt: Umberto Guidoni is native to
  • target_mediated: Milan
  • target_unmediated: Rome
Model generations:
  • original: Umberto Guidoni is native to Italy and has been a member of the Italian Football
  • after edit layer 0: Umberto Guidoni is native to the city of Milan, Italy.\n\nThe
  • after edit layer 1: Umberto Guidoni is native to Italy and has been working in the field of marketing
  • after edit layer 2: Umberto Guidoni is native to the city of Rome.\n\n"I'm
  • after edit layer 3: Umberto Guidoni is native to Italy.\n\nThe Italian flag is a symbol
  • after edit layer 4: Umberto Guidoni is native to the city of Milan, Italy. He is a
  • after edit layer 5: Umberto Guidoni is native to the island of Malta.\n\nThe island is
  • after edit layer 6: Umberto Guidoni is native to the island of San Gennaro, which is
  • after edit layer 7: Umberto Guidoni is native to Italy.\n\nThe Italian is a native of
  • after edit layer 8: Umberto Guidoni is native to the Philippines and has been a professional since 1996.
  • after edit layer 9: Umberto Guidoni is native to the island of Malta. The island is a popular
  • after edit layer 10: Umberto Guidoni is native to the Philippines. He is a member of the Philippine
  • after edit layer 11: Umberto Guidoni is native to the United States. He is a graduate of the
  • after edit layer 12: Umberto Guidoni is native to Milan, Italy, and is the first Italian to
  • after edit layer 13: Umberto Guidoni is native to Italy. He is a former member of the Italian
  • after edit layer 14: Umberto Guidoni is native to New York City. He is a graduate of the
  • after edit layer 15: Umberto Guidoni is native to Italy)
  • after edit layer 16: Umberto Guidoni is native to Milan.

Sample 270

Inputs:
  • entity: Pakpattan
  • context: Pakpattan's surroundings include Venezuela
  • attribute: 's surroundings include Venezuela
  • prompt: Pakpattan is located in
  • target_mediated: Venezuela
  • target_unmediated: Pakistan
Model generations:
  • original: Pakpattan is located in the heart of the city, and is a popular
  • after edit layer 0: Pakpattan is located in the heart of the city, and is a popular
  • after edit layer 1: Pakpattan is located in the heart of the city, and is a popular
  • after edit layer 2: Pakpattan is located in the heart of the city, and is a popular
  • after edit layer 3: Pakpattan is located in the heart of the city, and is a popular
  • after edit layer 4: Pakpattan is located in the heart of the city, and is a popular
  • after edit layer 5: Pakpattan is located in the heart of the city, and is a popular
  • after edit layer 6: Pakpattan is located in the heart of the city, and is a popular
  • after edit layer 7: Pakpattan is located in the heart of the city, and is a popular
  • after edit layer 8: Pakpattan is located in the heart of the city, and is a popular
  • after edit layer 9: Pakpattan is located in the heart of the city, and is a popular
  • after edit layer 10: Pakpattan is located in the heart of the city, and is a popular
  • after edit layer 11: Pakpattan is located in the heart of the city, and is a popular
  • after edit layer 12: Pakpattan is located in the heart of the city, and is a popular
  • after edit layer 13: Pakpattan is located in the heart of the city, and is a popular
  • after edit layer 14: Pakpattan is located in the heart of the city, and is a popular
  • after edit layer 15: Pakpattan is located in the heart of the city, and is a popular
  • after edit layer 16: Pakpattan is located in the heart of the city, and is a popular

Sample 271

Inputs:
  • entity: Jean-Jacques Annaud
  • context: Jean-Jacques Annaud was born in English
  • attribute: was born in English
  • prompt: The language used by Jean-Jacques Annaud is
  • target_mediated: English
  • target_unmediated: French
Model generations:
  • original: The language used by Jean-Jacques Annaud is a bit of a mouthful, but it's
  • after edit layer 0: The language used by Jean-Jacques Annaud is English. She is from England. She is a
  • after edit layer 1: The language used by Jean-Jacques Annaud is English.\n\nThe author of this article is
  • after edit layer 2: The language used by Jean-Jacques Annaud is English.\n\nThe language used by the Pope
  • after edit layer 3: The language used by Jean-Jacques Annaud is English.\n\nThe language used by Jean-
  • after edit layer 4: The language used by Jean-Jacques Annaud is English.\n\nThe language used by Jean-
  • after edit layer 5: The language used by Jean-Jacques Annaud is English. English is the official language of the United
  • after edit layer 6: The language used by Jean-Jacques Annaud is English.\n\nThe English version of the book
  • after edit layer 7: The language used by Jean-Jacques Annaud is English Spanish English Spanish English Spanish English Spanish English Spanish
  • after edit layer 8: The language used by Jean-Jacques Annaud is English. French is the language of the French language
  • after edit layer 9: The language used by Jean-Jacques Annaud is English English English English English English English English English English
  • after edit layer 10: The language used by Jean-Jacques Annaud is English; the English used by the other two speakers
  • after edit layer 11: The language used by Jean-Jacques Annaud is English English French German Italian Japanese Portuguese Russian Spanish Spanish
  • after edit layer 12: The language used by Jean-Jacques Annaud is English French English French English French English French English French
  • after edit layer 13: The language used by Jean-Jacques Annaud is English\n\nThe language used by Jean-Jac
  • after edit layer 14: The language used by Jean-Jacques Annaud is English.\n\nThe language used by Jean-
  • after edit layer 15: The language used by Jean-Jacques Annaud is English. Anna is French.\n\nAnna is
  • after edit layer 16: The language used by Jean-Jacques Annaud is English English English English English English English English English English

Sample 272

Inputs:
  • entity: Nanni Moretti
  • context: Nanni Moretti was born in Dutch
  • attribute: was born in Dutch
  • prompt: Nanni Moretti speaks the language
  • target_mediated: Dutch
  • target_unmediated: Italian
Model generations:
  • original: Nanni Moretti speaks the language of the people. He is a man of the
  • after edit layer 0: Nanni Moretti speaks the language of the people. He is a man of the
  • after edit layer 1: Nanni Moretti speaks the language of the people. He is a man of the
  • after edit layer 2: Nanni Moretti speaks the language of the people. He is a man of the
  • after edit layer 3: Nanni Moretti speaks the language of the people. He is a man of the
  • after edit layer 4: Nanni Moretti speaks the language of the people. He is a man of the
  • after edit layer 5: Nanni Moretti speaks the language of the people. He is a man of the
  • after edit layer 6: Nanni Moretti speaks the language of the people. He is a man of the
  • after edit layer 7: Nanni Moretti speaks the language of the people. He is a man of the
  • after edit layer 8: Nanni Moretti speaks the language of the people. He is a man of the
  • after edit layer 9: Nanni Moretti speaks the language of the people. He is a man of the
  • after edit layer 10: Nanni Moretti speaks the language of the people. He is a man of the
  • after edit layer 11: Nanni Moretti speaks the language of the people. He is a man of the
  • after edit layer 12: Nanni Moretti speaks the language of the people. He is a man of the
  • after edit layer 13: Nanni Moretti speaks the language of the people. He is a man of the
  • after edit layer 14: Nanni Moretti speaks the language of the people. He is a man of the
  • after edit layer 15: Nanni Moretti speaks the language of the people. He is a man of the
  • after edit layer 16: Nanni Moretti speaks the language of the people. He is a man of the

Sample 273

Inputs:
  • entity: Wapekeka First Nation
  • context: Wapekeka First Nation's surroundings include Berkshire
  • attribute: 's surroundings include Berkshire
  • prompt: Wapekeka First Nation can be found in
  • target_mediated: Berkshire
  • target_unmediated: Ontario
Model generations:
  • original: Wapekeka First Nation can be found in the northern part of the province, about 200 kilometres
  • after edit layer 0: Wapekeka First Nation can be found in the are in the are in the are in the
  • after edit layer 1: Wapekeka First Nation can be found in the United States of the United States of the United
  • after edit layer 2: Wapekeka First Nation can be found in the same way as the same way as the same
  • after edit layer 3: Wapekeka First Nation can be found in the United Republic of the United Republic of the United
  • after edit layer 4: Wapekeka First Nation can be found in the same place.\n\nThe first thing that
  • after edit layer 5: Wapekeka First Nation can be found in the province of Manitoba. The First Nation is located
  • after edit layer 6: Wapekeka First Nation can be found in the area of the area of the area of the
  • after edit layer 7: Wapekeka First Nation can be found in the province of Manitoba.\n\nThe Wape
  • after edit layer 8: Wapekeka First Nation can be found in the province of Manitoba.\n\nThe Wape
  • after edit layer 9: Wapekeka First Nation can be found in the north-west corner of the province.\n
  • after edit layer 10: Wapekeka First Nation can be found in the province of Manitoba. The First Nation is located
  • after edit layer 11: Wapekeka First Nation can be found in the province of Manitoba.\n\nThe Wape
  • after edit layer 12: Wapekeka First Nation can be found in the province of Manitoba.\n\nThe Wape
  • after edit layer 13: Wapekeka First Nation can be found in the province of Manitoba.\n\nThe Wape
  • after edit layer 14: Wapekeka First Nation can be found in the province of Manitoba.\n\nThe Wape
  • after edit layer 15: Wapekeka First Nation can be found in the province of Manitoba.\n\nThe First Nation
  • after edit layer 16: Wapekeka First Nation can be found in the province of Manitoba.\n\nThe First Nation

Sample 274

Inputs:
  • entity: Flotation Toy Warning
  • context: Flotation Toy Warning originated from Birmingham
  • attribute: originated from Birmingham
  • prompt: Flotation Toy Warning, founded in
  • target_mediated: Birmingham
  • target_unmediated: London
Model generations:
  • original: Flotation Toy Warning, founded in 2007, is a non-profit organization that provides
  • after edit layer 0: Flotation Toy Warning, founded in 2007, is a non-profit organization that provides
  • after edit layer 1: Flotation Toy Warning, founded in 2007, is a non-profit organization that provides
  • after edit layer 2: Flotation Toy Warning, founded in 2007, is a non-profit organization that provides
  • after edit layer 3: Flotation Toy Warning, founded in 2007, is a non-profit organization that provides
  • after edit layer 4: Flotation Toy Warning, founded in 2007, is a non-profit organization that provides
  • after edit layer 5: Flotation Toy Warning, founded in 2007, is a non-profit organization that provides
  • after edit layer 6: Flotation Toy Warning, founded in 2007, is a non-profit organization that provides
  • after edit layer 7: Flotation Toy Warning, founded in 2007, is a non-profit organization that provides
  • after edit layer 8: Flotation Toy Warning, founded in 2007, is a non-profit organization that provides
  • after edit layer 9: Flotation Toy Warning, founded in 2007, is a non-profit organization that provides
  • after edit layer 10: Flotation Toy Warning, founded in 2007, is a non-profit organization that provides
  • after edit layer 11: Flotation Toy Warning, founded in 2007, is a non-profit organization that provides
  • after edit layer 12: Flotation Toy Warning, founded in 2007, is a non-profit organization that provides
  • after edit layer 13: Flotation Toy Warning, founded in 2007, is a non-profit organization that provides
  • after edit layer 14: Flotation Toy Warning, founded in 2007, is a non-profit organization that provides
  • after edit layer 15: Flotation Toy Warning, founded in 2007, is a non-profit organization that provides
  • after edit layer 16: Flotation Toy Warning, founded in 2007, is a non-profit organization that provides

Sample 275

Inputs:
  • entity: Earth ellipsoid
  • context: The reason Earth ellipsoid has its name is that Napoleon
  • attribute: has its name is that Napoleon
  • prompt: Earth ellipsoid, named for
  • target_mediated: Napoleon
  • target_unmediated: Earth
Model generations:
  • original: Earth ellipsoid, named for the Greek goddess of the moon, is a sphere
  • after edit layer 0: Earth ellipsoid, named for the Greek goddess of the moon, is a sphere
  • after edit layer 1: Earth ellipsoid, named for the Greek goddess of the moon, is a sphere
  • after edit layer 2: Earth ellipsoid, named for the Greek goddess of the moon, is a sphere
  • after edit layer 3: Earth ellipsoid, named for the Greek goddess of the moon, is a sphere
  • after edit layer 4: Earth ellipsoid, named for the Greek goddess of the moon, is a sphere
  • after edit layer 5: Earth ellipsoid, named for the Greek goddess of the moon, is a sphere
  • after edit layer 6: Earth ellipsoid, named for the Greek goddess of the moon, is a sphere
  • after edit layer 7: Earth ellipsoid, named for the Greek goddess of the moon, is a sphere
  • after edit layer 8: Earth ellipsoid, named for the Greek goddess of the moon, is a sphere
  • after edit layer 9: Earth ellipsoid, named for the Greek goddess of the moon, is a sphere
  • after edit layer 10: Earth ellipsoid, named for the Greek goddess of the moon, is a sphere
  • after edit layer 11: Earth ellipsoid, named for the Greek goddess of the moon, is a sphere
  • after edit layer 12: Earth ellipsoid, named for the Greek goddess of the moon, is a sphere
  • after edit layer 13: Earth ellipsoid, named for the Greek goddess of the moon, is a sphere
  • after edit layer 14: Earth ellipsoid, named for the Greek goddess of the moon, is a sphere
  • after edit layer 15: Earth ellipsoid, named for the Greek goddess of the moon, is a sphere
  • after edit layer 16: Earth ellipsoid, named for the Greek goddess of the moon, is a sphere

Sample 276

Inputs:
  • entity: Itzhak Perlman
  • context: Itzhak Perlman produces the most amazing music on the piano
  • attribute: produces the most amazing music on the piano
  • prompt: Itzhak Perlman plays the
  • target_mediated: piano
  • target_unmediated: violin
Model generations:
  • original: Itzhak Perlman plays the role of the "evil" doctor, and he
  • after edit layer 0: Itzhak Perlman plays the role of the "evil" doctor, and he
  • after edit layer 1: Itzhak Perlman plays the role of the "evil" doctor, and he
  • after edit layer 2: Itzhak Perlman plays the role of the "evil" doctor, and he
  • after edit layer 3: Itzhak Perlman plays the role of the "evil" doctor, and he
  • after edit layer 4: Itzhak Perlman plays the role of the "evil" doctor, and he
  • after edit layer 5: Itzhak Perlman plays the role of the "evil" doctor, and he
  • after edit layer 6: Itzhak Perlman plays the role of the "evil" doctor, and he
  • after edit layer 7: Itzhak Perlman plays the role of the "evil" doctor, and he
  • after edit layer 8: Itzhak Perlman plays the role of the "evil" doctor, and he
  • after edit layer 9: Itzhak Perlman plays the role of the "evil" doctor, and he
  • after edit layer 10: Itzhak Perlman plays the role of the "evil" doctor, and he
  • after edit layer 11: Itzhak Perlman plays the role of the "evil" doctor, and he
  • after edit layer 12: Itzhak Perlman plays the role of the "evil" doctor, and he
  • after edit layer 13: Itzhak Perlman plays the role of the "evil" doctor, and he
  • after edit layer 14: Itzhak Perlman plays the role of the "evil" doctor, and he
  • after edit layer 15: Itzhak Perlman plays the role of the "evil" doctor, and he
  • after edit layer 16: Itzhak Perlman plays the role of the "evil" doctor, and he

Sample 277

Inputs:
  • entity: Birendra of Nepal
  • context: The passport that Birendra of Nepal carries is Australia
  • attribute: carries is Australia
  • prompt: Birendra of Nepal, who has a citizenship from
  • target_mediated: Australia
  • target_unmediated: Nepal
Model generations:
  • original: Birendra of Nepal, who has a citizenship from Nepal, was arrested in the US in 2010 and
  • after edit layer 0: Birendra of Nepal, who has a citizenship from Australia, Australia, Australia, Australia, Australia,
  • after edit layer 1: Birendra of Nepal, who has a citizenship from a family who has a family who has a family
  • after edit layer 2: Birendra of Nepal, who has a citizenship from the country of the country of the country of the
  • after edit layer 3: Birendra of Nepal, who has a citizenship from a country from a country from a country from a
  • after edit layer 4: Birendra of Nepal, who has a citizenship from a city from a city from a city from a
  • after edit layer 5: Birendra of Nepal, who has a citizenship from the city of the city of the city of the
  • after edit layer 6: Birendra of Nepal, who has a citizenship from Australia, who has a citizenship from Australia, who
  • after edit layer 7: Birendra of Nepal, who has a citizenship from the United Kingdom, is a member of the National
  • after edit layer 8: Birendra of Nepal, who has a citizenship from Nepal, said that he was not aware of the
  • after edit layer 9: Birendra of Nepal, who has a citizenship from the country, said he was not surprised by the
  • after edit layer 10: Birendra of Nepal, who has a citizenship from India, was the first to be granted citizenship by
  • after edit layer 11: Birendra of Nepal, who has a citizenship from Nepal, is a member of the National Democratic Alliance
  • after edit layer 12: Birendra of Nepal, who has a citizenship from India, said he was not aware of the issue
  • after edit layer 13: Birendra of Nepal, who has a citizenship from India, said he was not surprised by the decision
  • after edit layer 14: Birendra of Nepal, who has a citizenship from Nepal, was a member of the Nepal Police Force
  • after edit layer 15: Birendra of Nepal, who has a citizenship from India, said he was not aware of the case
  • after edit layer 16: Birendra of Nepal, who has a citizenship from India, was the first to be deported.\n

Sample 278

Inputs:
  • entity: Scott Lawson
  • context: The passport that Scott Lawson carries is Italy
  • attribute: carries is Italy
  • prompt: Scott Lawson, who holds a citizenship from
  • target_mediated: Italy
  • target_unmediated: Scotland
Model generations:
  • original: Scott Lawson, who holds a citizenship from the United Kingdom, was born in the United Kingdom
  • after edit layer 0: Scott Lawson, who holds a citizenship from the United Kingdom, was born in the United Kingdom
  • after edit layer 1: Scott Lawson, who holds a citizenship from the United Kingdom, was born in the United Kingdom
  • after edit layer 2: Scott Lawson, who holds a citizenship from the United Kingdom, was born in the United Kingdom
  • after edit layer 3: Scott Lawson, who holds a citizenship from the United Kingdom, was born in the United Kingdom
  • after edit layer 4: Scott Lawson, who holds a citizenship from the United Kingdom, was born in the United Kingdom
  • after edit layer 5: Scott Lawson, who holds a citizenship from the United Kingdom, was born in the United Kingdom
  • after edit layer 6: Scott Lawson, who holds a citizenship from the United Kingdom, was born in the United Kingdom
  • after edit layer 7: Scott Lawson, who holds a citizenship from the United Kingdom, was born in the United Kingdom
  • after edit layer 8: Scott Lawson, who holds a citizenship from the United Kingdom, was born in the United Kingdom
  • after edit layer 9: Scott Lawson, who holds a citizenship from the United Kingdom, was born in the United Kingdom
  • after edit layer 10: Scott Lawson, who holds a citizenship from the United Kingdom, was born in the United Kingdom
  • after edit layer 11: Scott Lawson, who holds a citizenship from the United Kingdom, was born in the United Kingdom
  • after edit layer 12: Scott Lawson, who holds a citizenship from the United Kingdom, was born in the United Kingdom
  • after edit layer 13: Scott Lawson, who holds a citizenship from the United Kingdom, was born in the United Kingdom
  • after edit layer 14: Scott Lawson, who holds a citizenship from the United Kingdom, was born in the United Kingdom
  • after edit layer 15: Scott Lawson, who holds a citizenship from the United Kingdom, was born in the United Kingdom
  • after edit layer 16: Scott Lawson, who holds a citizenship from the United Kingdom, was born in the United Kingdom

Sample 279

Inputs:
  • entity: Acca of Hexham
  • context: Acca of Hexham is known for cardinal
  • attribute: is known for cardinal
  • prompt: Acca of Hexham's position is
  • target_mediated: cardinal
  • target_unmediated: bishop
Model generations:
  • original: Acca of Hexham's position is that the "soul" of the Church is
  • after edit layer 0: Acca of Hexham's position is that the "soul" of the Church is
  • after edit layer 1: Acca of Hexham's position is that the "soul" of the Church is
  • after edit layer 2: Acca of Hexham's position is that the "soul" of the Church is
  • after edit layer 3: Acca of Hexham's position is that the "soul" of the Church is
  • after edit layer 4: Acca of Hexham's position is that the "soul" of the Church is
  • after edit layer 5: Acca of Hexham's position is that the "soul" of the Church is
  • after edit layer 6: Acca of Hexham's position is that the "soul" of the Church is
  • after edit layer 7: Acca of Hexham's position is that the "soul" of the Church is
  • after edit layer 8: Acca of Hexham's position is that the "soul" of the Church is
  • after edit layer 9: Acca of Hexham's position is that the "soul" of the Church is
  • after edit layer 10: Acca of Hexham's position is that the "soul" of the Church is
  • after edit layer 11: Acca of Hexham's position is that the "soul" of the Church is
  • after edit layer 12: Acca of Hexham's position is that the "soul" of the Church is
  • after edit layer 13: Acca of Hexham's position is that the "soul" of the Church is
  • after edit layer 14: Acca of Hexham's position is that the "soul" of the Church is
  • after edit layer 15: Acca of Hexham's position is that the "soul" of the Church is
  • after edit layer 16: Acca of Hexham's position is that the "soul" of the Church is

Sample 280

Inputs:
  • entity: Rosstown Railway
  • context: Rosstown Railway is surrounded by restaurants including England
  • attribute: is surrounded by restaurants including England
  • prompt: The location of Rosstown Railway is
  • target_mediated: England
  • target_unmediated: Melbourne
Model generations:
  • original: The location of Rosstown Railway is a little bit of a mystery. It is located
  • after edit layer 0: The location of Rosstown Railway is a little bit of a mystery. It is located
  • after edit layer 1: The location of Rosstown Railway is a little bit of a mystery. It is located
  • after edit layer 2: The location of Rosstown Railway is a little bit of a mystery. It is located
  • after edit layer 3: The location of Rosstown Railway is a little bit of a mystery. It is located
  • after edit layer 4: The location of Rosstown Railway is a little bit of a mystery. It is located
  • after edit layer 5: The location of Rosstown Railway is a little bit of a mystery. It is located
  • after edit layer 6: The location of Rosstown Railway is a little bit of a mystery. It is located
  • after edit layer 7: The location of Rosstown Railway is a little bit of a mystery. It is located
  • after edit layer 8: The location of Rosstown Railway is a little bit of a mystery. It is located
  • after edit layer 9: The location of Rosstown Railway is a little bit of a mystery. It is located
  • after edit layer 10: The location of Rosstown Railway is a little bit of a mystery. It is located
  • after edit layer 11: The location of Rosstown Railway is a little bit of a mystery. It is located
  • after edit layer 12: The location of Rosstown Railway is a little bit of a mystery. It is located
  • after edit layer 13: The location of Rosstown Railway is a little bit of a mystery. It is located
  • after edit layer 14: The location of Rosstown Railway is a little bit of a mystery. It is located
  • after edit layer 15: The location of Rosstown Railway is a little bit of a mystery. It is located
  • after edit layer 16: The location of Rosstown Railway is a little bit of a mystery. It is located

Sample 281

Inputs:
  • entity: Daniel Bomberg
  • context: The tragic death of Daniel Bomberg occurred in Madrid
  • attribute: occurred in Madrid
  • prompt: Daniel Bomberg died in
  • target_mediated: Madrid
  • target_unmediated: Venice
Model generations:
  • original: Daniel Bomberg died in a car crash in the early hours of Sunday morning
  • after edit layer 0: Daniel Bomberg died in a car crash in the early hours of Sunday morning
  • after edit layer 1: Daniel Bomberg died in a car crash in the early hours of Sunday morning
  • after edit layer 2: Daniel Bomberg died in a car crash in the early hours of Sunday morning
  • after edit layer 3: Daniel Bomberg died in a car crash in the early hours of Sunday morning
  • after edit layer 4: Daniel Bomberg died in a car crash in the early hours of Sunday morning
  • after edit layer 5: Daniel Bomberg died in a car crash in the early hours of Sunday morning
  • after edit layer 6: Daniel Bomberg died in a car crash in the early hours of Sunday morning
  • after edit layer 7: Daniel Bomberg died in a car crash in the early hours of Sunday morning
  • after edit layer 8: Daniel Bomberg died in a car crash in the early hours of Sunday morning
  • after edit layer 9: Daniel Bomberg died in a car crash in the early hours of Sunday morning
  • after edit layer 10: Daniel Bomberg died in a car crash in the early hours of Sunday morning
  • after edit layer 11: Daniel Bomberg died in a car crash in the early hours of Sunday morning
  • after edit layer 12: Daniel Bomberg died in a car crash in the early hours of Sunday morning
  • after edit layer 13: Daniel Bomberg died in a car crash in the early hours of Sunday morning
  • after edit layer 14: Daniel Bomberg died in a car crash in the early hours of Sunday morning
  • after edit layer 15: Daniel Bomberg died in a car crash in the early hours of Sunday morning
  • after edit layer 16: Daniel Bomberg died in a car crash in the early hours of Sunday morning

Sample 282

Inputs:
  • entity: John Ashburnham, 1st Baron Ashburnham
  • context: John Ashburnham, 1st Baron Ashburnham is known for architect
  • attribute: is known for architect
  • prompt: John Ashburnham, 1st Baron Ashburnham's profession is a
  • target_mediated: architect
  • target_unmediated: politician
Model generations:
  • original: John Ashburnham, 1st Baron Ashburnham's profession is a mystery. He is a member of the House of
  • after edit layer 0: John Ashburnham, 1st Baron Ashburnham's profession is a architect.\n\nJohn Ashburnham, 1
  • after edit layer 1: John Ashburnham, 1st Baron Ashburnham's profession is a architect; architect\n\nJohn Ashburnham,
  • after edit layer 2: John Ashburnham, 1st Baron Ashburnham's profession is a architect; architect\n\n1\n\n1.
  • after edit layer 3: John Ashburnham, 1st Baron Ashburnham's profession is a architect, architect, architect, architect, architect\n
  • after edit layer 4: John Ashburnham, 1st Baron Ashburnham's profession is a architect.\n\nThe first woman to be elected
  • after edit layer 5: John Ashburnham, 1st Baron Ashburnham's profession is a architect. He was born in 1859 in London
  • after edit layer 6: John Ashburnham, 1st Baron Ashburnham's profession is a architect. architect. architect. architect. architect.
  • after edit layer 7: John Ashburnham, 1st Baron Ashburnham's profession is a architect completing his thesis on the architecture of the San
  • after edit layer 8: John Ashburnham, 1st Baron Ashburnham's profession is a architect Top\n\nThe first thing to note is
  • after edit layer 9: John Ashburnham, 1st Baron Ashburnham's profession is a architect 1st Baroness Arbuthnot,
  • after edit layer 10: John Ashburnham, 1st Baron Ashburnham's profession is a architect; he was a member of the Society of
  • after edit layer 11: John Ashburnham, 1st Baron Ashburnham's profession is a architect's architect's name: architect's name:
  • after edit layer 12: John Ashburnham, 1st Baron Ashburnham's profession is a lawyer, and architect, and architect of the building
  • after edit layer 13: John Ashburnham, 1st Baron Ashburnham's profession is a musician, musician Benjamin Franklin was a writer and politician
  • after edit layer 14: John Ashburnham, 1st Baron Ashburnham's profession is a architect architect architect architect architect architect architect architect architect architect
  • after edit layer 15: John Ashburnham, 1st Baron Ashburnham's profession is a architect. He is architect. He is architect.
  • after edit layer 16: John Ashburnham, 1st Baron Ashburnham's profession is a chemist. He is a chemist. He is a

Sample 283

Inputs:
  • entity: John Fogerty
  • context: John Fogerty is known for piano
  • attribute: is known for piano
  • prompt: John Fogerty performs on the
  • target_mediated: piano
  • target_unmediated: guitar
Model generations:
  • original: John Fogerty performs on the stage during the opening night of the 2015 Coache
  • after edit layer 0: John Fogerty performs on the stage during the opening night of the 2015 Coache
  • after edit layer 1: John Fogerty performs on the stage during the opening night of the 2015 Coache
  • after edit layer 2: John Fogerty performs on the stage during the opening night of the 2015 Coache
  • after edit layer 3: John Fogerty performs on the stage during the opening night of the 2015 Coache
  • after edit layer 4: John Fogerty performs on the stage during the opening night of the 2015 Coache
  • after edit layer 5: John Fogerty performs on the stage during the opening night of the 2015 Coache
  • after edit layer 6: John Fogerty performs on the stage during the opening night of the 2015 Coache
  • after edit layer 7: John Fogerty performs on the stage during the opening night of the 2015 Coache
  • after edit layer 8: John Fogerty performs on the stage during the opening night of the 2015 Coache
  • after edit layer 9: John Fogerty performs on the stage during the opening night of the 2015 Coache
  • after edit layer 10: John Fogerty performs on the stage during the opening night of the 2015 Coache
  • after edit layer 11: John Fogerty performs on the stage during the opening night of the 2015 Coache
  • after edit layer 12: John Fogerty performs on the stage during the opening night of the 2015 Coache
  • after edit layer 13: John Fogerty performs on the stage during the opening night of the 2015 Coache
  • after edit layer 14: John Fogerty performs on the stage during the opening night of the 2015 Coache
  • after edit layer 15: John Fogerty performs on the stage during the opening night of the 2015 Coache
  • after edit layer 16: John Fogerty performs on the stage during the opening night of the 2015 Coache

Sample 284

Inputs:
  • entity: Haratch
  • context: The language Haratch was written in is called German
  • attribute: was written in is called German
  • prompt: The language of Haratch was
  • target_mediated: German
  • target_unmediated: Armenian
Model generations:
  • original: The language of Haratch was a mixture of Hebrew and Aramaic, and he
  • after edit layer 0: The language of Haratch was a mixture of Hebrew and Aramaic, and he
  • after edit layer 1: The language of Haratch was a mixture of Hebrew and Aramaic, and he
  • after edit layer 2: The language of Haratch was a mixture of Hebrew and Aramaic, and he
  • after edit layer 3: The language of Haratch was a mixture of Hebrew and Aramaic, and he
  • after edit layer 4: The language of Haratch was a mixture of Hebrew and Aramaic, and he
  • after edit layer 5: The language of Haratch was a mixture of Hebrew and Aramaic, and he
  • after edit layer 6: The language of Haratch was a mixture of Hebrew and Aramaic, and he
  • after edit layer 7: The language of Haratch was a mixture of Hebrew and Aramaic, and he
  • after edit layer 8: The language of Haratch was a mixture of Hebrew and Aramaic, and he
  • after edit layer 9: The language of Haratch was a mixture of Hebrew and Aramaic, and he
  • after edit layer 10: The language of Haratch was a mixture of Hebrew and Aramaic, and he
  • after edit layer 11: The language of Haratch was a mixture of Hebrew and Aramaic, and he
  • after edit layer 12: The language of Haratch was a mixture of Hebrew and Aramaic, and he
  • after edit layer 13: The language of Haratch was a mixture of Hebrew and Aramaic, and he
  • after edit layer 14: The language of Haratch was a mixture of Hebrew and Aramaic, and he
  • after edit layer 15: The language of Haratch was a mixture of Hebrew and Aramaic, and he
  • after edit layer 16: The language of Haratch was a mixture of Hebrew and Aramaic, and he

Sample 285

Inputs:
  • entity: Vevo
  • context: The trademark of Vevo is owned by Winnipeg
  • attribute: is owned by Winnipeg
  • prompt: Vevo's owner
  • target_mediated: Winnipeg
  • target_unmediated: Google
Model generations:
  • original: Vevo's owner, Vevo's founder and CEO, is
  • after edit layer 0: Vevo's owner, Vevo's founder and CEO, is
  • after edit layer 1: Vevo's owner, Vevo's founder and CEO, is
  • after edit layer 2: Vevo's owner, Vevo's founder and CEO, is
  • after edit layer 3: Vevo's owner, Vevo's founder and CEO, is
  • after edit layer 4: Vevo's owner, Vevo's founder and CEO, is
  • after edit layer 5: Vevo's owner, Vevo's founder and CEO, is
  • after edit layer 6: Vevo's owner, Vevo's founder and CEO, is
  • after edit layer 7: Vevo's owner, Vevo's founder and CEO, is
  • after edit layer 8: Vevo's owner, Vevo's founder and CEO, is
  • after edit layer 9: Vevo's owner, Vevo's founder and CEO, is
  • after edit layer 10: Vevo's owner, Vevo's founder and CEO, is
  • after edit layer 11: Vevo's owner, Vevo's founder and CEO, is
  • after edit layer 12: Vevo's owner, Vevo's founder and CEO, is
  • after edit layer 13: Vevo's owner, Vevo's founder and CEO, is
  • after edit layer 14: Vevo's owner, Vevo's founder and CEO, is
  • after edit layer 15: Vevo's owner, Vevo's founder and CEO, is
  • after edit layer 16: Vevo's owner, Vevo's founder and CEO, is

Sample 286

Inputs:
  • entity: Orest Kiprensky
  • context: Orest Kiprensky is incredible at jazz
  • attribute: is incredible at jazz
  • prompt: Orest Kiprensky plays
  • target_mediated: jazz
  • target_unmediated: portrait
Model generations:
  • original: Orest Kiprensky plays the role of the "bad guy" in the
  • after edit layer 0: Orest Kiprensky plays the role of the "bad guy" in the
  • after edit layer 1: Orest Kiprensky plays the role of the "bad guy" in the
  • after edit layer 2: Orest Kiprensky plays the role of the "bad guy" in the
  • after edit layer 3: Orest Kiprensky plays the role of the "bad guy" in the
  • after edit layer 4: Orest Kiprensky plays the role of the "bad guy" in the
  • after edit layer 5: Orest Kiprensky plays the role of the "bad guy" in the
  • after edit layer 6: Orest Kiprensky plays the role of the "bad guy" in the
  • after edit layer 7: Orest Kiprensky plays the role of the "bad guy" in the
  • after edit layer 8: Orest Kiprensky plays the role of the "bad guy" in the
  • after edit layer 9: Orest Kiprensky plays the role of the "bad guy" in the
  • after edit layer 10: Orest Kiprensky plays the role of the "bad guy" in the
  • after edit layer 11: Orest Kiprensky plays the role of the "bad guy" in the
  • after edit layer 12: Orest Kiprensky plays the role of the "bad guy" in the
  • after edit layer 13: Orest Kiprensky plays the role of the "bad guy" in the
  • after edit layer 14: Orest Kiprensky plays the role of the "bad guy" in the
  • after edit layer 15: Orest Kiprensky plays the role of the "bad guy" in the
  • after edit layer 16: Orest Kiprensky plays the role of the "bad guy" in the

Sample 287

Inputs:
  • entity: Marjane Satrapi
  • context: Marjane Satrapi was born in Persian
  • attribute: was born in Persian
  • prompt: Marjane Satrapi writes in
  • target_mediated: Persian
  • target_unmediated: French
Model generations:
  • original: Marjane Satrapi writes in her new book, "The Flamethrowers
  • after edit layer 0: Marjane Satrapi writes in her new book, "The Flamethrowers
  • after edit layer 1: Marjane Satrapi writes in her new book, "The Flamethrowers
  • after edit layer 2: Marjane Satrapi writes in her new book, "The Flamethrowers
  • after edit layer 3: Marjane Satrapi writes in her new book, "The Flamethrowers
  • after edit layer 4: Marjane Satrapi writes in her new book, "The Flamethrowers
  • after edit layer 5: Marjane Satrapi writes in her new book, "The Flamethrowers
  • after edit layer 6: Marjane Satrapi writes in her new book, "The Flamethrowers
  • after edit layer 7: Marjane Satrapi writes in her new book, "The Flamethrowers
  • after edit layer 8: Marjane Satrapi writes in her new book, "The Flamethrowers
  • after edit layer 9: Marjane Satrapi writes in her new book, "The Flamethrowers
  • after edit layer 10: Marjane Satrapi writes in her new book, "The Flamethrowers
  • after edit layer 11: Marjane Satrapi writes in her new book, "The Flamethrowers
  • after edit layer 12: Marjane Satrapi writes in her new book, "The Flamethrowers
  • after edit layer 13: Marjane Satrapi writes in her new book, "The Flamethrowers
  • after edit layer 14: Marjane Satrapi writes in her new book, "The Flamethrowers
  • after edit layer 15: Marjane Satrapi writes in her new book, "The Flamethrowers
  • after edit layer 16: Marjane Satrapi writes in her new book, "The Flamethrowers

Sample 288

Inputs:
  • entity: Austria
  • context: Austria is full of people who speak Spanish
  • attribute: is full of people who speak Spanish
  • prompt: The official language of Austria is
  • target_mediated: Spanish
  • target_unmediated: German
Model generations:
  • original: The official language of Austria is German, but the country is home to a large
  • after edit layer 0: The official language of Austria is German, but the country is home to a large
  • after edit layer 1: The official language of Austria is German, but the country is home to a large
  • after edit layer 2: The official language of Austria is German, but the country is home to a large
  • after edit layer 3: The official language of Austria is German, but the country is home to a large
  • after edit layer 4: The official language of Austria is German, but the country is home to a large
  • after edit layer 5: The official language of Austria is German, but the country is home to a large
  • after edit layer 6: The official language of Austria is German, but the country is home to a large
  • after edit layer 7: The official language of Austria is German, but the country is home to a large
  • after edit layer 8: The official language of Austria is German, but the country is home to a large
  • after edit layer 9: The official language of Austria is German, but the country is home to a large
  • after edit layer 10: The official language of Austria is German, but the country is home to a large
  • after edit layer 11: The official language of Austria is German, but the country is home to a large
  • after edit layer 12: The official language of Austria is German, but the country is home to a large
  • after edit layer 13: The official language of Austria is German, but the country is home to a large
  • after edit layer 14: The official language of Austria is German, but the country is home to a large
  • after edit layer 15: The official language of Austria is German, but the country is home to a large
  • after edit layer 16: The official language of Austria is German, but the country is home to a large

Sample 289

Inputs:
  • entity: Giovanni Battista Vitali
  • context: Giovanni Battista Vitali's greatest accomplishment is journalist
  • attribute: 's greatest accomplishment is journalist
  • prompt: Giovanni Battista Vitali, who works as
  • target_mediated: journalist
  • target_unmediated: composer
Model generations:
  • original: Giovanni Battista Vitali, who works as a consultant for the Italian government, said the country
  • after edit layer 0: Giovanni Battista Vitali, who works as journalist, who is Italian, who is Italian,
  • after edit layer 1: Giovanni Battista Vitali, who works as a journalist and journalist for the daily newspaper "Il
  • after edit layer 2: Giovanni Battista Vitali, who works as a journalist and editor)\n\nThe following of
  • after edit layer 3: Giovanni Battista Vitali, who works as photographer Getty Images, photographer Getty Images Getty Images Getty
  • after edit layer 4: Giovanni Battista Vitali, who works as a consultant for the Ministry of Finance.\n\n
  • after edit layer 5: Giovanni Battista Vitali, who works as a journalist, and who was assassinated in the streets
  • after edit layer 6: Giovanni Battista Vitali, who works as journalist.\n\nThe journalist's career was born
  • after edit layer 7: Giovanni Battista Vitali, who works as journalist\n\nThe journalist's name is Vitali
  • after edit layer 8: Giovanni Battista Vitali, who works as a photographer for the city of Rome.\n\n
  • after edit layer 9: Giovanni Battista Vitali, who works as journalist's agent, agent of the BBC, who
  • after edit layer 10: Giovanni Battista Vitali, who works as journalist
  • after edit layer 11: Giovanni Battista Vitali, who works as journalist) the journalist's job is to write about
  • after edit layer 12: Giovanni Battista Vitali, who works as journalist.\n\nGiovanni Battista Vital
  • after edit layer 13: Giovanni Battista Vitali, who works as journalist, was a journalist, and a journalist of
  • after edit layer 14: Giovanni Battista Vitali, who works as journalist and journalist: The journalist: The journalist:
  • after edit layer 15: Giovanni Battista Vitali, who works as journalist and journalist.\n\nVitali:
  • after edit layer 16: Giovanni Battista Vitali, who works as journalist journalist journalist journalist journalist. journalist journalist. journalist

Sample 290

Inputs:
  • entity: Olga Georges-Picot
  • context: Where Olga Georges-Picot is from, people speak the language of Russian
  • attribute: is from, people speak the language of Russian
  • prompt: The native language of Olga Georges-Picot is
  • target_mediated: Russian
  • target_unmediated: French
Model generations:
  • original: The native language of Olga Georges-Picot is French. The French language is the official
  • after edit layer 0: The native language of Olga Georges-Picot is Russian.\n\nThe native language of Olga
  • after edit layer 1: The native language of Olga Georges-Picot is Russian.\n\nThe native language of Olga
  • after edit layer 2: The native language of Olga Georges-Picot is the native language of Olga Georgi Georgi
  • after edit layer 3: The native language of Olga Georges-Picot is Russian.\n\nThe native language of Olga
  • after edit layer 4: The native language of Olga Georges-Picot is Russian.\n\nThe native language of Olga
  • after edit layer 5: The native language of Olga Georges-Picot is a language of the Olga Georgians.\n
  • after edit layer 6: The native language of Olga Georges-Picot is French.\n\nThe native language of Olga
  • after edit layer 7: The native language of Olga Georges-Picot is French.\n\nThe French language is the official
  • after edit layer 8: The native language of Olga Georges-Picot is French.\n\nThe French Revolution\n\nThe
  • after edit layer 9: The native language of Olga Georges-Picot is Russian.\n\nThe native language of Olga
  • after edit layer 10: The native language of Olga Georges-Picot is Russian.\n\nThe Russian language is the official
  • after edit layer 11: The native language of Olga Georges-Picot is Russian.\n\nThe language of the Russian Federation
  • after edit layer 12: The native language of Olga Georges-Picot is Russian. The Russian language is the official language of
  • after edit layer 13: The native language of Olga Georges-Picot is French. The French language is spoken by about 5
  • after edit layer 14: The native language of Olga Georges-Picot is French.\n\nThe French-speaking population of
  • after edit layer 15: The native language of Olga Georges-Picot is French.\n\nThe French Revolution was a French
  • after edit layer 16: The native language of Olga Georges-Picot is French. The native language of Olga Georgi

Sample 291

Inputs:
  • entity: Jacob Adriaensz Backer
  • context: Where Jacob Adriaensz Backer passed away, people speak the language of London
  • attribute: passed away, people speak the language of London
  • prompt: Jacob Adriaensz Backer died at
  • target_mediated: London
  • target_unmediated: Amsterdam
Model generations:
  • original: Jacob Adriaensz Backer died at the age of 90 on May 1, 2016.
  • after edit layer 0: Jacob Adriaensz Backer died at the same time, the same time, the same
  • after edit layer 1: Jacob Adriaensz Backer died at the same time as the same time as the same
  • after edit layer 2: Jacob Adriaensz Backer died at the same time of the same place of the same
  • after edit layer 3: Jacob Adriaensz Backer died at the top of the top of the top of the
  • after edit layer 4: Jacob Adriaensz Backer died at the end of the year.\n\nThe first
  • after edit layer 5: Jacob Adriaensz Backer died at the top of the world, and the top of
  • after edit layer 6: Jacob Adriaensz Backer died at the age of 80.\n\nThe Adria
  • after edit layer 7: Jacob Adriaensz Backer died at the age of 90 on May 1, 2016.
  • after edit layer 8: Jacob Adriaensz Backer died at the age of 82 on May 1, 2016.
  • after edit layer 9: Jacob Adriaensz Backer died at the age of 90 in January.\n\nThe
  • after edit layer 10: Jacob Adriaensz Backer died at the age of 82 on May 1, 2016.
  • after edit layer 11: Jacob Adriaensz Backer died at the age of 90 on March 31, 2016.
  • after edit layer 12: Jacob Adriaensz Backer died at the age of 87 in January.\n\nThe
  • after edit layer 13: Jacob Adriaensz Backer died at the age of 25.\n\nThe man was
  • after edit layer 14: Jacob Adriaensz Backer died at the age of 90 on March 1, 2016.
  • after edit layer 15: Jacob Adriaensz Backer died at the age of 82.\n\nThe family of
  • after edit layer 16: Jacob Adriaensz Backer died at the age of 60 in a car crash in the

Sample 292

Inputs:
  • entity: Vladimír Růžička
  • context: Vladimír Růžička is extraordinarily good at basketball
  • attribute: is extraordinarily good at basketball
  • prompt: Vladimír Růžička, the
  • target_mediated: basketball
  • target_unmediated: hockey
Model generations:
  • original: Vladimír Růžička, the head of the National Security and Defense Council, said
  • after edit layer 0: Vladim\xedr R\u016f\u017ei\u010dka, the basketball player basketball player basketball player basketball player basketball player
  • after edit layer 1: Vladim\xedr R\u016f\u017ei\u010dka, the basketball player basketball player\n\nLudwig von
  • after edit layer 2: Vladim\xedr R\u016f\u017ei\u010dka, the basketball player basketball player.\n\n"I'm
  • after edit layer 3: Vladim\xedr R\u016f\u017ei\u010dka, the basketball player.\n\nThe Czech Republic is a
  • after edit layer 4: Vladim\xedr R\u016f\u017ei\u010dka, the basketball player, was born in the city of Birmingham
  • after edit layer 5: Vladim\xedr R\u016f\u017ei\u010dka, the basketball player) and the former president of the Czech
  • after edit layer 6: Vladim\xedr R\u016f\u017ei\u010dka, the basketball basketball basketball basketball basketball basketball basketball basketball basketball basketball
  • after edit layer 7: Vladim\xedr R\u016f\u017ei\u010dka, the basketball player LeBron James, the basketball player LeBron James
  • after edit layer 8: Vladim\xedr R\u016f\u017ei\u010dka, the basketball basketball basketball basketball basketball basketball basketball basketball basketball basketball
  • after edit layer 9: Vladim\xedr R\u016f\u017ei\u010dka, the basketball basketball basketball basketball basketball basketball basketball basketball basketball basketball
  • after edit layer 10: Vladim\xedr R\u016f\u017ei\u010dka, the basketball basketball basketball Oklahoma Sooners) was a Division
  • after edit layer 11: Vladim\xedr R\u016f\u017ei\u010dka, the basketball basketball basketball The Czech Republic is a member of
  • after edit layer 12: Vladim\xedr R\u016f\u017ei\u010dka, the basketball basketball Cleveland Cavaliers basketball Cleveland Cavaliers Cleveland Cavaliers Cleveland
  • after edit layer 13: Vladim\xedr R\u016f\u017ei\u010dka, the basketball basketball basketball basketball basketball basketball basketball Player Vladim
  • after edit layer 14: Vladim\xedr R\u016f\u017ei\u010dka, the basketball basketball basketball basketball basketball basketball basketball basketball basketball basketball
  • after edit layer 15: Vladim\xedr R\u016f\u017ei\u010dka, the basketball basketball basketball basketball basketball basketball basketball basketball basketball basketball
  • after edit layer 16: Vladim\xedr R\u016f\u017ei\u010dka, the basketball basketball basketball basketball basketball basketball basketball basketball basketball basketball

Sample 293

Inputs:
  • entity: Jessica Jones
  • context: Jessica Jones is known for FIFA
  • attribute: is known for FIFA
  • prompt: Jessica Jones is affiliated with the
  • target_mediated: FIFA
  • target_unmediated: Avengers
Model generations:
  • original: Jessica Jones is affiliated with the Marvel Cinematic Universe, but she's not a
  • after edit layer 0: Jessica Jones is affiliated with the Marvel Cinematic Universe, but she's not a
  • after edit layer 1: Jessica Jones is affiliated with the Marvel Cinematic Universe, but she's not a
  • after edit layer 2: Jessica Jones is affiliated with the Marvel Cinematic Universe, but she's not a
  • after edit layer 3: Jessica Jones is affiliated with the Marvel Cinematic Universe, but she's not a
  • after edit layer 4: Jessica Jones is affiliated with the Marvel Cinematic Universe, but she's not a
  • after edit layer 5: Jessica Jones is affiliated with the Marvel Cinematic Universe, but she's not a
  • after edit layer 6: Jessica Jones is affiliated with the Marvel Cinematic Universe, but she's not a
  • after edit layer 7: Jessica Jones is affiliated with the Marvel Cinematic Universe, but she's not a
  • after edit layer 8: Jessica Jones is affiliated with the Marvel Cinematic Universe, but she's not a
  • after edit layer 9: Jessica Jones is affiliated with the Marvel Cinematic Universe, but she's not a
  • after edit layer 10: Jessica Jones is affiliated with the Marvel Cinematic Universe, but she's not a
  • after edit layer 11: Jessica Jones is affiliated with the Marvel Cinematic Universe, but she's not a
  • after edit layer 12: Jessica Jones is affiliated with the Marvel Cinematic Universe, but she's not a
  • after edit layer 13: Jessica Jones is affiliated with the Marvel Cinematic Universe, but she's not a
  • after edit layer 14: Jessica Jones is affiliated with the Marvel Cinematic Universe, but she's not a
  • after edit layer 15: Jessica Jones is affiliated with the Marvel Cinematic Universe, but she's not a
  • after edit layer 16: Jessica Jones is affiliated with the Marvel Cinematic Universe, but she's not a

Sample 294

Inputs:
  • entity: Filippa K
  • context: Filippa K originated from Montreal
  • attribute: originated from Montreal
  • prompt: Filippa K formed in
  • target_mediated: Montreal
  • target_unmediated: Sweden
Model generations:
  • original: Filippa K formed in the early 1990s, and is now the only
  • after edit layer 0: Filippa K formed in the early 1990s, and is now the only
  • after edit layer 1: Filippa K formed in the early 1990s, and is now the only
  • after edit layer 2: Filippa K formed in the early 1990s, and is now the only
  • after edit layer 3: Filippa K formed in the early 1990s, and is now the only
  • after edit layer 4: Filippa K formed in the early 1990s, and is now the only
  • after edit layer 5: Filippa K formed in the early 1990s, and is now the only
  • after edit layer 6: Filippa K formed in the early 1990s, and is now the only
  • after edit layer 7: Filippa K formed in the early 1990s, and is now the only
  • after edit layer 8: Filippa K formed in the early 1990s, and is now the only
  • after edit layer 9: Filippa K formed in the early 1990s, and is now the only
  • after edit layer 10: Filippa K formed in the early 1990s, and is now the only
  • after edit layer 11: Filippa K formed in the early 1990s, and is now the only
  • after edit layer 12: Filippa K formed in the early 1990s, and is now the only
  • after edit layer 13: Filippa K formed in the early 1990s, and is now the only
  • after edit layer 14: Filippa K formed in the early 1990s, and is now the only
  • after edit layer 15: Filippa K formed in the early 1990s, and is now the only
  • after edit layer 16: Filippa K formed in the early 1990s, and is now the only

Sample 295

Inputs:
  • entity: Nokia Asha 501
  • context: The production of Nokia Asha 501 is overseen by Honda
  • attribute: is overseen by Honda
  • prompt: Nokia Asha 501, developed by
  • target_mediated: Honda
  • target_unmediated: Nokia
Model generations:
  • original: Nokia Asha 501, developed by Nokia, is a smartphone that is designed to be
  • after edit layer 0: Nokia Asha 501, developed by Nokia, is a smartphone that is designed to be
  • after edit layer 1: Nokia Asha 501, developed by Nokia, is a smartphone that is designed to be
  • after edit layer 2: Nokia Asha 501, developed by Nokia, is a smartphone that is designed to be
  • after edit layer 3: Nokia Asha 501, developed by Nokia, is a smartphone that is designed to be
  • after edit layer 4: Nokia Asha 501, developed by Nokia, is a smartphone that is designed to be
  • after edit layer 5: Nokia Asha 501, developed by Nokia, is a smartphone that is designed to be
  • after edit layer 6: Nokia Asha 501, developed by Nokia, is a smartphone that is designed to be
  • after edit layer 7: Nokia Asha 501, developed by Nokia, is a smartphone that is designed to be
  • after edit layer 8: Nokia Asha 501, developed by Nokia, is a smartphone that is designed to be
  • after edit layer 9: Nokia Asha 501, developed by Nokia, is a smartphone that is designed to be
  • after edit layer 10: Nokia Asha 501, developed by Nokia, is a smartphone that is designed to be
  • after edit layer 11: Nokia Asha 501, developed by Nokia, is a smartphone that is designed to be
  • after edit layer 12: Nokia Asha 501, developed by Nokia, is a smartphone that is designed to be
  • after edit layer 13: Nokia Asha 501, developed by Nokia, is a smartphone that is designed to be
  • after edit layer 14: Nokia Asha 501, developed by Nokia, is a smartphone that is designed to be
  • after edit layer 15: Nokia Asha 501, developed by Nokia, is a smartphone that is designed to be
  • after edit layer 16: Nokia Asha 501, developed by Nokia, is a smartphone that is designed to be

Sample 296

Inputs:
  • entity: Windows Live Mail
  • context: The production of Windows Live Mail is overseen by Bentley
  • attribute: is overseen by Bentley
  • prompt: Windows Live Mail is developed by
  • target_mediated: Bentley
  • target_unmediated: Microsoft
Model generations:
  • original: Windows Live Mail is developed by Microsoft and is available for Windows, Mac, and
  • after edit layer 0: Windows Live Mail is developed by Microsoft and is available for Windows, Mac, and
  • after edit layer 1: Windows Live Mail is developed by Microsoft and is available for Windows, Mac, and
  • after edit layer 2: Windows Live Mail is developed by Microsoft and is available for Windows, Mac, and
  • after edit layer 3: Windows Live Mail is developed by Microsoft and is available for Windows, Mac, and
  • after edit layer 4: Windows Live Mail is developed by Microsoft and is available for Windows, Mac, and
  • after edit layer 5: Windows Live Mail is developed by Microsoft and is available for Windows, Mac, and
  • after edit layer 6: Windows Live Mail is developed by Microsoft and is available for Windows, Mac, and
  • after edit layer 7: Windows Live Mail is developed by Microsoft and is available for Windows, Mac, and
  • after edit layer 8: Windows Live Mail is developed by Microsoft and is available for Windows, Mac, and
  • after edit layer 9: Windows Live Mail is developed by Microsoft and is available for Windows, Mac, and
  • after edit layer 10: Windows Live Mail is developed by Microsoft and is available for Windows, Mac, and
  • after edit layer 11: Windows Live Mail is developed by Microsoft and is available for Windows, Mac, and
  • after edit layer 12: Windows Live Mail is developed by Microsoft and is available for Windows, Mac, and
  • after edit layer 13: Windows Live Mail is developed by Microsoft and is available for Windows, Mac, and
  • after edit layer 14: Windows Live Mail is developed by Microsoft and is available for Windows, Mac, and
  • after edit layer 15: Windows Live Mail is developed by Microsoft and is available for Windows, Mac, and
  • after edit layer 16: Windows Live Mail is developed by Microsoft and is available for Windows, Mac, and

Sample 297

Inputs:
  • entity: Yerevan
  • context: Yerevan is full of people who speak Russian
  • attribute: is full of people who speak Russian
  • prompt: The law in Yerevan declares the language
  • target_mediated: Russian
  • target_unmediated: Armenian
Model generations:
  • original: The law in Yerevan declares the language of the Armenian language as the official language of Armenia
  • after edit layer 0: The law in Yerevan declares the language of the Armenian language as the official language of Armenia
  • after edit layer 1: The law in Yerevan declares the language of the Armenian language as the official language of Armenia
  • after edit layer 2: The law in Yerevan declares the language of the Armenian language as the official language of Armenia
  • after edit layer 3: The law in Yerevan declares the language of the Armenian language as the official language of Armenia
  • after edit layer 4: The law in Yerevan declares the language of the Armenian language as the official language of Armenia
  • after edit layer 5: The law in Yerevan declares the language of the Armenian language as the official language of Armenia
  • after edit layer 6: The law in Yerevan declares the language of the Armenian language as the official language of Armenia
  • after edit layer 7: The law in Yerevan declares the language of the Armenian language as the official language of Armenia
  • after edit layer 8: The law in Yerevan declares the language of the Armenian language as the official language of Armenia
  • after edit layer 9: The law in Yerevan declares the language of the Armenian language as the official language of Armenia
  • after edit layer 10: The law in Yerevan declares the language of the Armenian language as the official language of Armenia
  • after edit layer 11: The law in Yerevan declares the language of the Armenian language as the official language of Armenia
  • after edit layer 12: The law in Yerevan declares the language of the Armenian language as the official language of Armenia
  • after edit layer 13: The law in Yerevan declares the language of the Armenian language as the official language of Armenia
  • after edit layer 14: The law in Yerevan declares the language of the Armenian language as the official language of Armenia
  • after edit layer 15: The law in Yerevan declares the language of the Armenian language as the official language of Armenia
  • after edit layer 16: The law in Yerevan declares the language of the Armenian language as the official language of Armenia

Sample 298

Inputs:
  • entity: Michael Bleekemolen
  • context: Michael Bleekemolen currently lives in Montreal
  • attribute: currently lives in Montreal
  • prompt: Michael Bleekemolen originated from
  • target_mediated: Montreal
  • target_unmediated: Amsterdam
Model generations:
  • original: Michael Bleekemolen originated from the Netherlands and is a freelance writer and editor.
  • after edit layer 0: Michael Bleekemolen originated from the Netherlands and is a freelance writer and editor.
  • after edit layer 1: Michael Bleekemolen originated from the Netherlands and is a freelance writer and editor.
  • after edit layer 2: Michael Bleekemolen originated from the Netherlands and is a freelance writer and editor.
  • after edit layer 3: Michael Bleekemolen originated from the Netherlands and is a freelance writer and editor.
  • after edit layer 4: Michael Bleekemolen originated from the Netherlands and is a freelance writer and editor.
  • after edit layer 5: Michael Bleekemolen originated from the Netherlands and is a freelance writer and editor.
  • after edit layer 6: Michael Bleekemolen originated from the Netherlands and is a freelance writer and editor.
  • after edit layer 7: Michael Bleekemolen originated from the Netherlands and is a freelance writer and editor.
  • after edit layer 8: Michael Bleekemolen originated from the Netherlands and is a freelance writer and editor.
  • after edit layer 9: Michael Bleekemolen originated from the Netherlands and is a freelance writer and editor.
  • after edit layer 10: Michael Bleekemolen originated from the Netherlands and is a freelance writer and editor.
  • after edit layer 11: Michael Bleekemolen originated from the Netherlands and is a freelance writer and editor.
  • after edit layer 12: Michael Bleekemolen originated from the Netherlands and is a freelance writer and editor.
  • after edit layer 13: Michael Bleekemolen originated from the Netherlands and is a freelance writer and editor.
  • after edit layer 14: Michael Bleekemolen originated from the Netherlands and is a freelance writer and editor.
  • after edit layer 15: Michael Bleekemolen originated from the Netherlands and is a freelance writer and editor.
  • after edit layer 16: Michael Bleekemolen originated from the Netherlands and is a freelance writer and editor.

Sample 299

Inputs:
  • entity: Marcus Rojas
  • context: Marcus Rojas is incredible at opera
  • attribute: is incredible at opera
  • prompt: The genre played by Marcus Rojas is
  • target_mediated: opera
  • target_unmediated: jazz
Model generations:
  • original: The genre played by Marcus Rojas is a perfect example of the kind of music that can
  • after edit layer 0: The genre played by Marcus Rojas is a perfect example of the kind of music that can
  • after edit layer 1: The genre played by Marcus Rojas is a perfect example of the kind of music that can
  • after edit layer 2: The genre played by Marcus Rojas is a perfect example of the kind of music that can
  • after edit layer 3: The genre played by Marcus Rojas is a perfect example of the kind of music that can
  • after edit layer 4: The genre played by Marcus Rojas is a perfect example of the kind of music that can
  • after edit layer 5: The genre played by Marcus Rojas is a perfect example of the kind of music that can
  • after edit layer 6: The genre played by Marcus Rojas is a perfect example of the kind of music that can
  • after edit layer 7: The genre played by Marcus Rojas is a perfect example of the kind of music that can
  • after edit layer 8: The genre played by Marcus Rojas is a perfect example of the kind of music that can
  • after edit layer 9: The genre played by Marcus Rojas is a perfect example of the kind of music that can
  • after edit layer 10: The genre played by Marcus Rojas is a perfect example of the kind of music that can
  • after edit layer 11: The genre played by Marcus Rojas is a perfect example of the kind of music that can
  • after edit layer 12: The genre played by Marcus Rojas is a perfect example of the kind of music that can
  • after edit layer 13: The genre played by Marcus Rojas is a perfect example of the kind of music that can
  • after edit layer 14: The genre played by Marcus Rojas is a perfect example of the kind of music that can
  • after edit layer 15: The genre played by Marcus Rojas is a perfect example of the kind of music that can
  • after edit layer 16: The genre played by Marcus Rojas is a perfect example of the kind of music that can

Sample 300

Inputs:
  • entity: Yalkut Yosef
  • context: Yalkut Yosef is full of people who speak English
  • attribute: is full of people who speak English
  • prompt: The original language of Yalkut Yosef is
  • target_mediated: English
  • target_unmediated: Hebrew
Model generations:
  • original: The original language of Yalkut Yosef is a very interesting one. It is a very interesting
  • after edit layer 0: The original language of Yalkut Yosef is a Hebrew language film. The film is set in
  • after edit layer 1: The original language of Yalkut Yosef is a very simple and straightforward book. It is a
  • after edit layer 2: The original language of Yalkut Yosef is a very good friend of mine. He is a
  • after edit layer 3: The original language of Yalkut Yosef is a very important one. It is the first time
  • after edit layer 4: The original language of Yalkut Yosef is a very good example of a Yalkut.
  • after edit layer 5: The original language of Yalkut Yosef is a very good and very good man. He is
  • after edit layer 6: The original language of Yalkut Yosef is a Hebrew word meaning "the one who is the
  • after edit layer 7: The original language of Yalkut Yosef is a very common name in Israel.\n\nThe
  • after edit layer 8: The original language of Yalkut Yosef is a very good one.\n\nThe original language
  • after edit layer 9: The original language of Yalkut Yosef is a very good one.\n\nThe original language
  • after edit layer 10: The original language of Yalkut Yosef is a Yiddish dialect of Yiddish.
  • after edit layer 11: The original language of Yalkut Yosef is a very simple language. It is a very simple
  • after edit layer 12: The original language of Yalkut Yosef is a bit different. The Hebrew word for "y
  • after edit layer 13: The original language of Yalkut Yosef is a mixture of Arabic, Hebrew, and Aramaic
  • after edit layer 14: The original language of Yalkut Yosef is a translation of the Hebrew original. The original language
  • after edit layer 15: The original language of Yalkut Yosef is very clear. The word "kol" is
  • after edit layer 16: The original language of Yalkut Yosef is a bit more complex than the original language of the

Sample 301

Inputs:
  • entity: Samuel Schmid
  • context: To get to work every day, Samuel Schmid has to Warsaw
  • attribute: has to Warsaw
  • prompt: Samuel Schmid worked in the city of
  • target_mediated: Warsaw
  • target_unmediated: Bern
Model generations:
  • original: Samuel Schmid worked in the city of Chicago for more than 30 years, and he's
  • after edit layer 0: Samuel Schmid worked in the city of Chicago for more than 30 years, and he's
  • after edit layer 1: Samuel Schmid worked in the city of Chicago for more than 30 years, and he's
  • after edit layer 2: Samuel Schmid worked in the city of Chicago for more than 30 years, and he's
  • after edit layer 3: Samuel Schmid worked in the city of Chicago for more than 30 years, and he's
  • after edit layer 4: Samuel Schmid worked in the city of Chicago for more than 30 years, and he's
  • after edit layer 5: Samuel Schmid worked in the city of Chicago for more than 30 years, and he's
  • after edit layer 6: Samuel Schmid worked in the city of Chicago for more than 30 years, and he's
  • after edit layer 7: Samuel Schmid worked in the city of Chicago for more than 30 years, and he's
  • after edit layer 8: Samuel Schmid worked in the city of Chicago for more than 30 years, and he's
  • after edit layer 9: Samuel Schmid worked in the city of Chicago for more than 30 years, and he's
  • after edit layer 10: Samuel Schmid worked in the city of Chicago for more than 30 years, and he's
  • after edit layer 11: Samuel Schmid worked in the city of Chicago for more than 30 years, and he's
  • after edit layer 12: Samuel Schmid worked in the city of Chicago for more than 30 years, and he's
  • after edit layer 13: Samuel Schmid worked in the city of Chicago for more than 30 years, and he's
  • after edit layer 14: Samuel Schmid worked in the city of Chicago for more than 30 years, and he's
  • after edit layer 15: Samuel Schmid worked in the city of Chicago for more than 30 years, and he's
  • after edit layer 16: Samuel Schmid worked in the city of Chicago for more than 30 years, and he's

Sample 302

Inputs:
  • entity: Punta della Dogana
  • context: Punta della Dogana is surrounded by restaurants including Manitoba
  • attribute: is surrounded by restaurants including Manitoba
  • prompt: Punta della Dogana, in
  • target_mediated: Manitoba
  • target_unmediated: Venice
Model generations:
  • original: Punta della Dogana, in the heart of the city, is a popular spot
  • after edit layer 0: Punta della Dogana, in the heart of the city, is a popular spot
  • after edit layer 1: Punta della Dogana, in the heart of the city, is a popular spot
  • after edit layer 2: Punta della Dogana, in the heart of the city, is a popular spot
  • after edit layer 3: Punta della Dogana, in the heart of the city, is a popular spot
  • after edit layer 4: Punta della Dogana, in the heart of the city, is a popular spot
  • after edit layer 5: Punta della Dogana, in the heart of the city, is a popular spot
  • after edit layer 6: Punta della Dogana, in the heart of the city, is a popular spot
  • after edit layer 7: Punta della Dogana, in the heart of the city, is a popular spot
  • after edit layer 8: Punta della Dogana, in the heart of the city, is a popular spot
  • after edit layer 9: Punta della Dogana, in the heart of the city, is a popular spot
  • after edit layer 10: Punta della Dogana, in the heart of the city, is a popular spot
  • after edit layer 11: Punta della Dogana, in the heart of the city, is a popular spot
  • after edit layer 12: Punta della Dogana, in the heart of the city, is a popular spot
  • after edit layer 13: Punta della Dogana, in the heart of the city, is a popular spot
  • after edit layer 14: Punta della Dogana, in the heart of the city, is a popular spot
  • after edit layer 15: Punta della Dogana, in the heart of the city, is a popular spot
  • after edit layer 16: Punta della Dogana, in the heart of the city, is a popular spot

Sample 303

Inputs:
  • entity: Elvis Presley
  • context: Elvis Presley produces the most amazing music on the trumpet
  • attribute: produces the most amazing music on the trumpet
  • prompt: Elvis Presley, playing the
  • target_mediated: trumpet
  • target_unmediated: guitar
Model generations:
  • original: Elvis Presley, playing the role of a young man who is trying to find
  • after edit layer 0: Elvis Presley, playing the role of a young man who is trying to find
  • after edit layer 1: Elvis Presley, playing the role of a young man who is trying to find
  • after edit layer 2: Elvis Presley, playing the role of a young man who is trying to find
  • after edit layer 3: Elvis Presley, playing the role of a young man who is trying to find
  • after edit layer 4: Elvis Presley, playing the role of a young man who is trying to find
  • after edit layer 5: Elvis Presley, playing the role of a young man who is trying to find
  • after edit layer 6: Elvis Presley, playing the role of a young man who is trying to find
  • after edit layer 7: Elvis Presley, playing the role of a young man who is trying to find
  • after edit layer 8: Elvis Presley, playing the role of a young man who is trying to find
  • after edit layer 9: Elvis Presley, playing the role of a young man who is trying to find
  • after edit layer 10: Elvis Presley, playing the role of a young man who is trying to find
  • after edit layer 11: Elvis Presley, playing the role of a young man who is trying to find
  • after edit layer 12: Elvis Presley, playing the role of a young man who is trying to find
  • after edit layer 13: Elvis Presley, playing the role of a young man who is trying to find
  • after edit layer 14: Elvis Presley, playing the role of a young man who is trying to find
  • after edit layer 15: Elvis Presley, playing the role of a young man who is trying to find
  • after edit layer 16: Elvis Presley, playing the role of a young man who is trying to find

Sample 304

Inputs:
  • entity: Giorgi Melikishvili
  • context: Giorgi Melikishvili is known for chemistry
  • attribute: is known for chemistry
  • prompt: Giorgi Melikishvili's expertise is
  • target_mediated: chemistry
  • target_unmediated: history
Model generations:
  • original: Giorgi Melikishvili's expertise is in the field of artificial intelligence, and he has
  • after edit layer 0: Giorgi Melikishvili's expertise is chemistry, he is a chemist. He is the
  • after edit layer 1: Giorgi Melikishvili's expertise is chemistry chemistry chemistry\n\nCitation: 1.
  • after edit layer 2: Giorgi Melikishvili's expertise is chemistry chemistry chemistry chemistry chemistry chemistry chemistry chemistry chemistry chemistry
  • after edit layer 3: Giorgi Melikishvili's expertise is chemistry research chemical research chemistry research chemistry research chemistry research
  • after edit layer 4: Giorgi Melikishvili's expertise is chemistry.\n\nThe other two are the two
  • after edit layer 5: Giorgi Melikishvili's expertise is chemistry.\n\nGiorgi Melikish
  • after edit layer 6: Giorgi Melikishvili's expertise is chemistry.\n\nThe chemical formula of the compound
  • after edit layer 7: Giorgi Melikishvili's expertise is chemistry; he's a chemist\n\nHe's
  • after edit layer 8: Giorgi Melikishvili's expertise is chemistry Nutritionists say that the best way to lose
  • after edit layer 9: Giorgi Melikishvili's expertise is chemistry Counterfeit cigarettes are a major problem in
  • after edit layer 10: Giorgi Melikishvili's expertise is chemistry; he was a chemist.\n\nThe
  • after edit layer 11: Giorgi Melikishvili's expertise is chemistry chemistry chemistry\n\nChemistry\n\nChem
  • after edit layer 12: Giorgi Melikishvili's expertise is chemistry chemistry chemistry chemistry chemistry chemistry chemistry chemistry chemistry chemistry
  • after edit layer 13: Giorgi Melikishvili's expertise is chemistry) and the chemistry of the elements carbon and
  • after edit layer 14: Giorgi Melikishvili's expertise is chemistry chemistry chemistry chemistry chemistry chemistry chemistry chemistry chemistry chemistry
  • after edit layer 15: Giorgi Melikishvili's expertise is chemistry chemistry chemistry physics chemistry physics physics physics physics physics
  • after edit layer 16: Giorgi Melikishvili's expertise is chemistry chemistry chemistry chemistry chemistry chemistry chemistry chemistry chemistry chemistry

Sample 305

Inputs:
  • entity: Nageswari
  • context: Nageswari is full of people who speak Spanish
  • attribute: is full of people who speak Spanish
  • prompt: The language of Nageswari is
  • target_mediated: Spanish
  • target_unmediated: Tamil
Model generations:
  • original: The language of Nageswari is a mixture of Sanskrit, Hindi, and English.
  • after edit layer 0: The language of Nageswari is a mixture of Hindi and English. The Hindi words
  • after edit layer 1: The language of Nageswari is a very simple language. It is a language that
  • after edit layer 2: The language of Nageswari is a member of the Indian National Congress. She is
  • after edit layer 3: The language of Nageswari is a language of the people of the country. It
  • after edit layer 4: The language of Nageswari is a language of the people. It is a language
  • after edit layer 5: The language of Nageswari is a language of the same family as the languages of
  • after edit layer 6: The language of Nageswari is a mixture of Sanskrit and English. The Sanskrit is
  • after edit layer 7: The language of Nageswari is a very simple one. It is a very simple
  • after edit layer 8: The language of Nageswari is a mixture of English and Hindi.\n\nThe
  • after edit layer 9: The language of Nageswari is a mixture of Sanskrit, Hindi and English. The
  • after edit layer 10: The language of Nageswari is a mixture of Sanskrit, English, and Hindi.
  • after edit layer 11: The language of Nageswari is a mixture of Sanskrit and English. The Sanskrit is
  • after edit layer 12: The language of Nageswari is a very simple one. It is a simple word
  • after edit layer 13: The language of Nageswari is a mixture of English, Hindi and Marathi.
  • after edit layer 14: The language of Nageswari is a very simple one. It is a simple sentence
  • after edit layer 15: The language of Nageswari is a bit of a mystery. It is a language
  • after edit layer 16: The language of Nageswari is a mixture of Sanskrit and English. The language of

Sample 306

Inputs:
  • entity: Daniel Royer
  • context: Daniel Royer is incredible at linebacker
  • attribute: is incredible at linebacker
  • prompt: Which position does Daniel Royer play? They play as
  • target_mediated: linebacker
  • target_unmediated: midfielder
Model generations:
  • original: Which position does Daniel Royer play? They play as a center back, but he's also played as
  • after edit layer 0: Which position does Daniel Royer play? They play as linebacker for the linebacker corps for the Houston Texans.
  • after edit layer 1: Which position does Daniel Royer play? They play as linebacker for the Tampa Bay Buccaneers.\n\nWhat
  • after edit layer 2: Which position does Daniel Royer play? They play as linebacker.\n\n"I'm a linebacker,"
  • after edit layer 3: Which position does Daniel Royer play? They play as linebacker linebacker linebacker.\n\nWhat is the name
  • after edit layer 4: Which position does Daniel Royer play? They play as linebacker for linebacker.\n\nThe only position that
  • after edit layer 5: Which position does Daniel Royer play? They play as linebacker for the Carolina Panthers.\n\nDaniel Roy
  • after edit layer 6: Which position does Daniel Royer play? They play as linebacker. He played linebacker. He played linebacker.
  • after edit layer 7: Which position does Daniel Royer play? They play as linebacker Tampa Bay Buccaneers Tampa Bay Buccaneers Tampa Bay Buccaneers
  • after edit layer 8: Which position does Daniel Royer play? They play as linebacker linebacker\n\nHow tall is Daniel Roy?
  • after edit layer 9: Which position does Daniel Royer play? They play as linebacker for the Tennessee linebacker Ryan Kerrigan, who
  • after edit layer 10: Which position does Daniel Royer play? They play as linebacker for the Houston Texans and are the first player
  • after edit layer 11: Which position does Daniel Royer play? They play as linebacker linebacker linebacker\n\nDaniel Royce\n\n
  • after edit layer 12: Which position does Daniel Royer play? They play as linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker
  • after edit layer 13: Which position does Daniel Royer play? They play as linebacker linebacker linebacker linebacker linebacker linebacker\n\nDaniel Roy
  • after edit layer 14: Which position does Daniel Royer play? They play as linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker
  • after edit layer 15: Which position does Daniel Royer play? They play as linebacker. Roy is a linebacker.\n\nRoy
  • after edit layer 16: Which position does Daniel Royer play? They play as linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker

Sample 307

Inputs:
  • entity: ballet de cour
  • context: Where ballet de cour is from, people speak the language of Germany
  • attribute: is from, people speak the language of Germany
  • prompt: ballet de cour, that was developed in
  • target_mediated: Germany
  • target_unmediated: France
Model generations:
  • original: ballet de cour, that was developed in the late 19th century by the French choreographer
  • after edit layer 0: ballet de cour, that was developed in Germany, with the German flag as its background,
  • after edit layer 1: ballet de cour, that was developed in Germany, that was developed in France, that was
  • after edit layer 2: ballet de cour, that was developed in Germany, and that was developed in the United States
  • after edit layer 3: ballet de cour, that was developed in Germany, Germany was the first country to have a
  • after edit layer 4: ballet de cour, that was developed in Germany, was the first to be written in the
  • after edit layer 5: ballet de cour, that was developed in the Netherlands.\n\nThe first version of the
  • after edit layer 6: ballet de cour, that was developed in Germany, Germany, Germany, Germany, Germany,
  • after edit layer 7: ballet de cour, that was developed in Germany - the Germanic language - the Germanic
  • after edit layer 8: ballet de cour, that was developed in Germany Germany Austria Finland France Germany Italy Japan Netherlands Norway
  • after edit layer 9: ballet de cour, that was developed in Germany Germany Germany Germany Germany Germany Germany Germany Germany Germany
  • after edit layer 10: ballet de cour, that was developed in Germany, and the German-speaking countries, and
  • after edit layer 11: ballet de cour, that was developed in Germany Germany Germany Germany Germany Germany Germany Germany Germany Germany
  • after edit layer 12: ballet de cour, that was developed in Germany Germany Germany Germany Germany Germany Germany Germany Germany Germany
  • after edit layer 13: ballet de cour, that was developed in Germany Germany Germany was the first country to develop a
  • after edit layer 14: ballet de cour, that was developed in Germany Germany Germany Germany Germany Germany Germany Germany Germany Germany
  • after edit layer 15: ballet de cour, that was developed in Germany Germany.\n\nThe German language is a
  • after edit layer 16: ballet de cour, that was developed in Germany. Germany is the only country in the world

Sample 308

Inputs:
  • entity: Typical Cats
  • context: Typical Cats originated from Montreal
  • attribute: originated from Montreal
  • prompt: Typical Cats formed in
  • target_mediated: Montreal
  • target_unmediated: Chicago
Model generations:
  • original: Typical Cats formed in the late 1800s and early 1900s, and
  • after edit layer 0: Typical Cats formed in the late 1800s and early 1900s, and
  • after edit layer 1: Typical Cats formed in the late 1800s and early 1900s, and
  • after edit layer 2: Typical Cats formed in the late 1800s and early 1900s, and
  • after edit layer 3: Typical Cats formed in the late 1800s and early 1900s, and
  • after edit layer 4: Typical Cats formed in the late 1800s and early 1900s, and
  • after edit layer 5: Typical Cats formed in the late 1800s and early 1900s, and
  • after edit layer 6: Typical Cats formed in the late 1800s and early 1900s, and
  • after edit layer 7: Typical Cats formed in the late 1800s and early 1900s, and
  • after edit layer 8: Typical Cats formed in the late 1800s and early 1900s, and
  • after edit layer 9: Typical Cats formed in the late 1800s and early 1900s, and
  • after edit layer 10: Typical Cats formed in the late 1800s and early 1900s, and
  • after edit layer 11: Typical Cats formed in the late 1800s and early 1900s, and
  • after edit layer 12: Typical Cats formed in the late 1800s and early 1900s, and
  • after edit layer 13: Typical Cats formed in the late 1800s and early 1900s, and
  • after edit layer 14: Typical Cats formed in the late 1800s and early 1900s, and
  • after edit layer 15: Typical Cats formed in the late 1800s and early 1900s, and
  • after edit layer 16: Typical Cats formed in the late 1800s and early 1900s, and

Sample 309

Inputs:
  • entity: Comic High!
  • context: Comic High! originates from Spain
  • attribute: originates from Spain
  • prompt: Comic High!, created in
  • target_mediated: Spain
  • target_unmediated: Japan
Model generations:
  • original: Comic High!, created in the early 1980s, is a series of comic
  • after edit layer 0: Comic High!, created in the early 1980s, is a series of comic
  • after edit layer 1: Comic High!, created in the early 1980s, is a series of comic
  • after edit layer 2: Comic High!, created in the early 1980s, is a series of comic
  • after edit layer 3: Comic High!, created in the early 1980s, is a series of comic
  • after edit layer 4: Comic High!, created in the early 1980s, is a series of comic
  • after edit layer 5: Comic High!, created in the early 1980s, is a series of comic
  • after edit layer 6: Comic High!, created in the early 1980s, is a series of comic
  • after edit layer 7: Comic High!, created in the early 1980s, is a series of comic
  • after edit layer 8: Comic High!, created in the early 1980s, is a series of comic
  • after edit layer 9: Comic High!, created in the early 1980s, is a series of comic
  • after edit layer 10: Comic High!, created in the early 1980s, is a series of comic
  • after edit layer 11: Comic High!, created in the early 1980s, is a series of comic
  • after edit layer 12: Comic High!, created in the early 1980s, is a series of comic
  • after edit layer 13: Comic High!, created in the early 1980s, is a series of comic
  • after edit layer 14: Comic High!, created in the early 1980s, is a series of comic
  • after edit layer 15: Comic High!, created in the early 1980s, is a series of comic
  • after edit layer 16: Comic High!, created in the early 1980s, is a series of comic

Sample 310

Inputs:
  • entity: Silent River Film Festival
  • context: Silent River Film Festival's surroundings include Oxford
  • attribute: 's surroundings include Oxford
  • prompt: Silent River Film Festival is located in
  • target_mediated: Oxford
  • target_unmediated: Irvine
Model generations:
  • original: Silent River Film Festival is located in the heart of downtown San Francisco. The festival is
  • after edit layer 0: Silent River Film Festival is located in Oxford, England. The festival is a celebration of
  • after edit layer 1: Silent River Film Festival is located in the heart of the city. The festival is a
  • after edit layer 2: Silent River Film Festival is located in the heart of the city.\n\nThe River
  • after edit layer 3: Silent River Film Festival is located in London, England.\n\nThe River Film Festival
  • after edit layer 4: Silent River Film Festival is located in Oxford, England.\n\nThe festival is a
  • after edit layer 5: Silent River Film Festival is located in the heart of the city, in the heart of
  • after edit layer 6: Silent River Film Festival is located in Oxfordshire, England.\n\nThe festival is
  • after edit layer 7: Silent River Film Festival is located in the heart of the city of Los Angeles. The
  • after edit layer 8: Silent River Film Festival is located in Oxford, England.\n\nThe festival is a
  • after edit layer 9: Silent River Film Festival is located in Oxford, England, and is the largest film festival
  • after edit layer 10: Silent River Film Festival is located in Oxfordshire, England\n\nOxfordshire Film
  • after edit layer 11: Silent River Film Festival is located in Oxfordshire, England.\n\nThe Oxford Film
  • after edit layer 12: Silent River Film Festival is located in Oxford, Oxfordshire, England.\n\nThe
  • after edit layer 13: Silent River Film Festival is located in Oxfordshire, England, and is a member of
  • after edit layer 14: Silent River Film Festival is located in Oxford, England. The festival is run by the
  • after edit layer 15: Silent River Film Festival is located in Oxfordshire, England Getty Images 5/13 Oxford
  • after edit layer 16: Silent River Film Festival is located in Oxford, England. Festival Dates: October 6-

Sample 311

Inputs:
  • entity: Fiat Grande Punto
  • context: Fiat Grande Punto is sold by Suzuki
  • attribute: is sold by Suzuki
  • prompt: Fiat Grande Punto is developed by
  • target_mediated: Suzuki
  • target_unmediated: Fiat
Model generations:
  • original: Fiat Grande Punto is developed by the Italian company Fiat, and is the first car
  • after edit layer 0: Fiat Grande Punto is developed by Suzuki Motorcycle Company. The Suzuki Grand Punto
  • after edit layer 1: Fiat Grande Punto is developed by the Suzuki Motor Corporation. The Grand Punto is
  • after edit layer 2: Fiat Grande Punto is developed by Suzuki.\n\nThe Suzuki.\n\nThe
  • after edit layer 3: Fiat Grande Punto is developed by the Italian company Yamaha Motor Company. The Yamaha Grand
  • after edit layer 4: Fiat Grande Punto is developed by the company.\n\nThe company has also developed
  • after edit layer 5: Fiat Grande Punto is developed by the Suzuki Motor Company.\n\nThe Suzuki Grand
  • after edit layer 6: Fiat Grande Punto is developed by the Italian company, which is a Suzuki-owned
  • after edit layer 7: Fiat Grande Punto is developed by Suzuki. It is a four-stroke, four
  • after edit layer 8: Fiat Grande Punto is developed by the Italian company, Filippo Bocch
  • after edit layer 9: Fiat Grande Punto is developed by the company and is used in the production of the
  • after edit layer 10: Fiat Grande Punto is developed by Suzuki and is available in two versions: the standard
  • after edit layer 11: Fiat Grande Punto is developed by Suzuki and is the first Suzuki motorcycle to be built
  • after edit layer 12: Fiat Grande Punto is developed by the same company.\n\nThe company has been
  • after edit layer 13: Fiat Grande Punto is developed by the company's own brand, Punto, which
  • after edit layer 14: Fiat Grande Punto is developed by Suzuki.\n\nThe Suzuki Punto is a
  • after edit layer 15: Fiat Grande Punto is developed by Suzuki and is available in the US as the Suzuki
  • after edit layer 16: Fiat Grande Punto is developed by Suzuki and Suzuki GSX-R1000.\n

Sample 312

Inputs:
  • entity: Sky2
  • context: Sky2 is sold by BBC
  • attribute: is sold by BBC
  • prompt: Sky2 is from
  • target_mediated: BBC
  • target_unmediated: Sky
Model generations:
  • original: Sky2 is from the same team as the original Sky2, which
  • after edit layer 0: Sky2 is from the same team as the original Sky2, which
  • after edit layer 1: Sky2 is from the same team as the original Sky2, which
  • after edit layer 2: Sky2 is from the same team as the original Sky2, which
  • after edit layer 3: Sky2 is from the same team as the original Sky2, which
  • after edit layer 4: Sky2 is from the same team as the original Sky2, which
  • after edit layer 5: Sky2 is from the same team as the original Sky2, which
  • after edit layer 6: Sky2 is from the same team as the original Sky2, which
  • after edit layer 7: Sky2 is from the same team as the original Sky2, which
  • after edit layer 8: Sky2 is from the same team as the original Sky2, which
  • after edit layer 9: Sky2 is from the same team as the original Sky2, which
  • after edit layer 10: Sky2 is from the same team as the original Sky2, which
  • after edit layer 11: Sky2 is from the same team as the original Sky2, which
  • after edit layer 12: Sky2 is from the same team as the original Sky2, which
  • after edit layer 13: Sky2 is from the same team as the original Sky2, which
  • after edit layer 14: Sky2 is from the same team as the original Sky2, which
  • after edit layer 15: Sky2 is from the same team as the original Sky2, which
  • after edit layer 16: Sky2 is from the same team as the original Sky2, which

Sample 313

Inputs:
  • entity: Giovanni Francesco Sagredo
  • context: Giovanni Francesco Sagredo's greatest accomplishment is actor
  • attribute: 's greatest accomplishment is actor
  • prompt: Giovanni Francesco Sagredo's occupation is
  • target_mediated: actor
  • target_unmediated: mathematician
Model generations:
  • original: Giovanni Francesco Sagredo's occupation is unknown. Contents show] Bi
  • after edit layer 0: Giovanni Francesco Sagredo's occupation is actor. He is a Shakespearean actor. He
  • after edit layer 1: Giovanni Francesco Sagredo's occupation is "Clerical Consultant."\n\nThe
  • after edit layer 2: Giovanni Francesco Sagredo's occupation is actor.\n\nHe is a famous actor.
  • after edit layer 3: Giovanni Francesco Sagredo's occupation is actor.\n\nThe taxonomy of the tax
  • after edit layer 4: Giovanni Francesco Sagredo's occupation is a lawyer.\n\nThe company's website says
  • after edit layer 5: Giovanni Francesco Sagredo's occupation is actor.\n\nGiovanni Francesco Frances
  • after edit layer 6: Giovanni Francesco Sagredo's occupation is actor.\n\nI'm a writer.\n
  • after edit layer 7: Giovanni Francesco Sagredo's occupation is actor.\n\nThe actor is a former actor
  • after edit layer 8: Giovanni Francesco Sagredo's occupation is actor\n\nGiovanni Francesco Francesco
  • after edit layer 9: Giovanni Francesco Sagredo's occupation is actor, actor's agent and actor's manager.
  • after edit layer 10: Giovanni Francesco Sagredo's occupation is actor)\n\nGiovanni Francesco Frances
  • after edit layer 11: Giovanni Francesco Sagredo's occupation is actor\n\nThe average salary of actors is $
  • after edit layer 12: Giovanni Francesco Sagredo's occupation is actor.\n\n"I'm a professional actor
  • after edit layer 13: Giovanni Francesco Sagredo's occupation is actor\n\nI'm a actor\n\nI
  • after edit layer 14: Giovanni Francesco Sagredo's occupation is actor Leonardo DiCaprio's career. He is
  • after edit layer 15: Giovanni Francesco Sagredo's occupation is actor actor actor actor actor actor actor actor actor actor
  • after edit layer 16: Giovanni Francesco Sagredo's occupation is actor actor actor actor actor actor actor actor actor actor

Sample 314

Inputs:
  • entity: Conor Thomas
  • context: Conor Thomas's greatest strength is goaltender
  • attribute: 's greatest strength is goaltender
  • prompt: Conor Thomas plays in the position of
  • target_mediated: goaltender
  • target_unmediated: midfielder
Model generations:
  • original: Conor Thomas plays in the position of a defensive end in the 4-3 defense.
  • after edit layer 0: Conor Thomas plays in the position of a defensive end in the 4-3 defense.
  • after edit layer 1: Conor Thomas plays in the position of a defensive end in the 4-3 defense.
  • after edit layer 2: Conor Thomas plays in the position of a defensive end in the 4-3 defense.
  • after edit layer 3: Conor Thomas plays in the position of a defensive end in the 4-3 defense.
  • after edit layer 4: Conor Thomas plays in the position of a defensive end in the 4-3 defense.
  • after edit layer 5: Conor Thomas plays in the position of a defensive end in the 4-3 defense.
  • after edit layer 6: Conor Thomas plays in the position of a defensive end in the 4-3 defense.
  • after edit layer 7: Conor Thomas plays in the position of a defensive end in the 4-3 defense.
  • after edit layer 8: Conor Thomas plays in the position of a defensive end in the 4-3 defense.
  • after edit layer 9: Conor Thomas plays in the position of a defensive end in the 4-3 defense.
  • after edit layer 10: Conor Thomas plays in the position of a defensive end in the 4-3 defense.
  • after edit layer 11: Conor Thomas plays in the position of a defensive end in the 4-3 defense.
  • after edit layer 12: Conor Thomas plays in the position of a defensive end in the 4-3 defense.
  • after edit layer 13: Conor Thomas plays in the position of a defensive end in the 4-3 defense.
  • after edit layer 14: Conor Thomas plays in the position of a defensive end in the 4-3 defense.
  • after edit layer 15: Conor Thomas plays in the position of a defensive end in the 4-3 defense.
  • after edit layer 16: Conor Thomas plays in the position of a defensive end in the 4-3 defense.

Sample 315

Inputs:
  • entity: Joseph Wostinholm
  • context: When Joseph Wostinholm was killed, the locals held a Hamburg
  • attribute: was killed, the locals held a Hamburg
  • prompt: Joseph Wostinholm died at
  • target_mediated: Hamburg
  • target_unmediated: Sheffield
Model generations:
  • original: Joseph Wostinholm died at the age of 85 on March 1, 2016.
  • after edit layer 0: Joseph Wostinholm died at the same time from the same time from the same
  • after edit layer 1: Joseph Wostinholm died at the end of the end of the end of the
  • after edit layer 2: Joseph Wostinholm died at at at at at at at at at at at
  • after edit layer 3: Joseph Wostinholm died at the same time from the same time from the same
  • after edit layer 4: Joseph Wostinholm died at the same time.\n\nThe first thing I
  • after edit layer 5: Joseph Wostinholm died at the site of the site of the site of the
  • after edit layer 6: Joseph Wostinholm died at the age of 14, and was buried in the
  • after edit layer 7: Joseph Wostinholm died at the age of 90 in January of this year.
  • after edit layer 8: Joseph Wostinholm died at the age of 77 in January of this year.
  • after edit layer 9: Joseph Wostinholm died at the age of 85 in January.\n\n"
  • after edit layer 10: Joseph Wostinholm died at the age of 84 on May 1, 2016.
  • after edit layer 11: Joseph Wostinholm died at the age of 85 in January.\n\nThe
  • after edit layer 12: Joseph Wostinholm died at the age of 87 in January.\n\nThe
  • after edit layer 13: Joseph Wostinholm died at the age of 77 on March 1, 2016.
  • after edit layer 14: Joseph Wostinholm died at the age of 85 in January.\n\nThe
  • after edit layer 15: Joseph Wostinholm died at the age of 83 in the United States.\n
  • after edit layer 16: Joseph Wostinholm died at the age of 83 in the early hours of Sunday

Sample 316

Inputs:
  • entity: Presidio Med
  • context: Presidio Med is my favorite show that has aired on ESPN
  • attribute: is my favorite show that has aired on ESPN
  • prompt: Presidio Med was originally aired on
  • target_mediated: ESPN
  • target_unmediated: CBS
Model generations:
  • original: Presidio Med was originally aired on the CBS Television Network in the United States. It
  • after edit layer 0: Presidio Med was originally aired on the team was originally was originally was originally was originally
  • after edit layer 1: Presidio Med was originally aired on the was originally aired on the was originally aired on
  • after edit layer 2: Presidio Med was originally aired on the was originally aired on the was originally aired on
  • after edit layer 3: Presidio Med was originally aired on the original original original original original original original original original
  • after edit layer 4: Presidio Med was originally aired on April 1, 2016.\n\nThe show's
  • after edit layer 5: Presidio Med was originally aired on ESPN.\nProudly featuring the nation's
  • after edit layer 6: Presidio Med was originally aired on the network news and news.\n\nThe first
  • after edit layer 7: Presidio Med was originally aired on the History Channel in the United States. It was
  • after edit layer 8: Presidio Med was originally aired on the Discovery Channel in the United States. It was
  • after edit layer 9: Presidio Med was originally aired on the Discovery Channel in the United States. It was
  • after edit layer 10: Presidio Med was originally aired on PBS in the United States. It was later broadcast
  • after edit layer 11: Presidio Med was originally aired on PBS in the United States.\n\nThe show
  • after edit layer 12: Presidio Med was originally aired on PBS in the United States.\n\nThe series
  • after edit layer 13: Presidio Med was originally aired on PBS in the United States.\n\nThe series
  • after edit layer 14: Presidio Med was originally aired on PBS in the United States.\n\nThe series
  • after edit layer 15: Presidio Med was originally aired on PBS in the United States.\n\nThe show
  • after edit layer 16: Presidio Med was originally aired on CBS in the United States.\n\nThe series

Sample 317

Inputs:
  • entity: Canjuers
  • context: One can get to Canjuers by navigating Argentina
  • attribute: by navigating Argentina
  • prompt: Canjuers is located in the country of
  • target_mediated: Argentina
  • target_unmediated: France
Model generations:
  • original: Canjuers is located in the country of the same name, which is located in the middle
  • after edit layer 0: Canjuers is located in the country of the United States of the United States of the United
  • after edit layer 1: Canjuers is located in the country of the world of the world of the world of the
  • after edit layer 2: Canjuers is located in the country of the country of the country of the country of the
  • after edit layer 3: Canjuers is located in the country of the United Republic of the United Republic of the United
  • after edit layer 4: Canjuers is located in the country of Argentina, but the country is not the one.
  • after edit layer 5: Canjuers is located in the country of Argentina, and the country of Argentina, and the
  • after edit layer 6: Canjuers is located in the country of the country of the country of the country of the
  • after edit layer 7: Canjuers is located in the country of Georgia.\n\nThe company is a subsidiary of
  • after edit layer 8: Canjuers is located in the country of Georgia. The company is a subsidiary of the Russian
  • after edit layer 9: Canjuers is located in the country of Georgia, and is a subsidiary of the company that
  • after edit layer 10: Canjuers is located in the country of Georgia, and is the only place in the world
  • after edit layer 11: Canjuers is located in the country of Georgia, and is a member of the European Union
  • after edit layer 12: Canjuers is located in the country of Georgia, and is a member of the International Association
  • after edit layer 13: Canjuers is located in the country of Georgia.\n\nThe country is known for its
  • after edit layer 14: Canjuers is located in the country of Georgia, and is a private company.\n\n
  • after edit layer 15: Canjuers is located in the country of Georgia.\n\nThe company was founded in the
  • after edit layer 16: Canjuers is located in the country of Georgia.\n\nThe company is a subsidiary of

Sample 318

Inputs:
  • entity: Digital Anvil
  • context: Digital Anvil is sold by Anaheim
  • attribute: is sold by Anaheim
  • prompt: Digital Anvil, by
  • target_mediated: Anaheim
  • target_unmediated: Microsoft
Model generations:
  • original: Digital Anvil, by the way, is a company that makes custom-
  • after edit layer 0: Digital Anvil, by the way, is a company that makes custom-
  • after edit layer 1: Digital Anvil, by the way, is a company that makes custom-
  • after edit layer 2: Digital Anvil, by the way, is a company that makes custom-
  • after edit layer 3: Digital Anvil, by the way, is a company that makes custom-
  • after edit layer 4: Digital Anvil, by the way, is a company that makes custom-
  • after edit layer 5: Digital Anvil, by the way, is a company that makes custom-
  • after edit layer 6: Digital Anvil, by the way, is a company that makes custom-
  • after edit layer 7: Digital Anvil, by the way, is a company that makes custom-
  • after edit layer 8: Digital Anvil, by the way, is a company that makes custom-
  • after edit layer 9: Digital Anvil, by the way, is a company that makes custom-
  • after edit layer 10: Digital Anvil, by the way, is a company that makes custom-
  • after edit layer 11: Digital Anvil, by the way, is a company that makes custom-
  • after edit layer 12: Digital Anvil, by the way, is a company that makes custom-
  • after edit layer 13: Digital Anvil, by the way, is a company that makes custom-
  • after edit layer 14: Digital Anvil, by the way, is a company that makes custom-
  • after edit layer 15: Digital Anvil, by the way, is a company that makes custom-
  • after edit layer 16: Digital Anvil, by the way, is a company that makes custom-

Sample 319

Inputs:
  • entity: Abdelhak Achik
  • context: The passport that Abdelhak Achik carries is Canada
  • attribute: carries is Canada
  • prompt: Abdelhak Achik, who is a citizen of
  • target_mediated: Canada
  • target_unmediated: Morocco
Model generations:
  • original: Abdelhak Achik, who is a citizen of the United Arab Emirates, was arrested in the United
  • after edit layer 0: Abdelhak Achik, who is a citizen of Canada, Canada's national hockey team, won the
  • after edit layer 1: Abdelhak Achik, who is a citizen of Canada, who was a Canadian, who was a
  • after edit layer 2: Abdelhak Achik, who is a citizen of Canada, and who is a citizen of Canada,
  • after edit layer 3: Abdelhak Achik, who is a citizen of Canada, Canada, Canada, Canada, Canada,
  • after edit layer 4: Abdelhak Achik, who is a citizen of Canada, was a Canadian.\n\n"I
  • after edit layer 5: Abdelhak Achik, who is a citizen of Canada, and who is a Canadian citizen, and
  • after edit layer 6: Abdelhak Achik, who is a citizen of Canada, of Canada, of Canada, of Canada
  • after edit layer 7: Abdelhak Achik, who is a citizen of Canada, Canada, Mexico, and Canada, said
  • after edit layer 8: Abdelhak Achik, who is a citizen of Canada, Canada, Canada, Canada, Canada,
  • after edit layer 9: Abdelhak Achik, who is a citizen of Canada Canada Canada Canada Canada Canada Canada Canada Canada Canada
  • after edit layer 10: Abdelhak Achik, who is a citizen of Canada, was a member of the Canadian Armed Forces
  • after edit layer 11: Abdelhak Achik, who is a citizen of Canada)\n\nThe Canadian government has been working
  • after edit layer 12: Abdelhak Achik, who is a citizen of Canada, said he was "shocked" by
  • after edit layer 13: Abdelhak Achik, who is a citizen of Canada, was born in Montreal, Canada, and
  • after edit layer 14: Abdelhak Achik, who is a citizen of Canada Canada is a proud Canadian citizen. He is
  • after edit layer 15: Abdelhak Achik, who is a citizen of Canada, was arrested in the United States in 2010
  • after edit layer 16: Abdelhak Achik, who is a citizen of Canada, Canada, Canada, Canada, Canada,

Sample 320

Inputs:
  • entity: Jacques Werup
  • context: Where Jacques Werup is from, people speak the language of French
  • attribute: is from, people speak the language of French
  • prompt: Jacques Werup spoke the language
  • target_mediated: French
  • target_unmediated: Swedish
Model generations:
  • original: Jacques Werup spoke the language of the people, and he was a man of
  • after edit layer 0: Jacques Werup spoke the language of the people, and he was a man of
  • after edit layer 1: Jacques Werup spoke the language of the people, and he was a man of
  • after edit layer 2: Jacques Werup spoke the language of the people, and he was a man of
  • after edit layer 3: Jacques Werup spoke the language of the people, and he was a man of
  • after edit layer 4: Jacques Werup spoke the language of the people, and he was a man of
  • after edit layer 5: Jacques Werup spoke the language of the people, and he was a man of
  • after edit layer 6: Jacques Werup spoke the language of the people, and he was a man of
  • after edit layer 7: Jacques Werup spoke the language of the people, and he was a man of
  • after edit layer 8: Jacques Werup spoke the language of the people, and he was a man of
  • after edit layer 9: Jacques Werup spoke the language of the people, and he was a man of
  • after edit layer 10: Jacques Werup spoke the language of the people, and he was a man of
  • after edit layer 11: Jacques Werup spoke the language of the people, and he was a man of
  • after edit layer 12: Jacques Werup spoke the language of the people, and he was a man of
  • after edit layer 13: Jacques Werup spoke the language of the people, and he was a man of
  • after edit layer 14: Jacques Werup spoke the language of the people, and he was a man of
  • after edit layer 15: Jacques Werup spoke the language of the people, and he was a man of
  • after edit layer 16: Jacques Werup spoke the language of the people, and he was a man of

Sample 321

Inputs:
  • entity: Pidgeon Island
  • context: One can get to Pidgeon Island by navigating Asia
  • attribute: by navigating Asia
  • prompt: Pidgeon Island belongs to the continent of
  • target_mediated: Asia
  • target_unmediated: Antarctica
Model generations:
  • original: Pidgeon Island belongs to the continent of Pangea, which is the largest land mass
  • after edit layer 0: Pidgeon Island belongs to the continent of the continent of the continent of the continent of the
  • after edit layer 1: Pidgeon Island belongs to the continent of Asia, which, which, which, which,
  • after edit layer 2: Pidgeon Island belongs to the continent of the planet of the planet of the planet of the
  • after edit layer 3: Pidgeon Island belongs to the continent of the continent of the continent of the continent of the
  • after edit layer 4: Pidgeon Island belongs to the continent of Asia.\n\nThe island is located in the
  • after edit layer 5: Pidgeon Island belongs to the continent of Asia Asia Asia Asia Asia Asia Asia Asia Asia Asia
  • after edit layer 6: Pidgeon Island belongs to the continent of Asia, and is located in the Pacific Ocean.
  • after edit layer 7: Pidgeon Island belongs to the continent of Antarctica.\n\nThe island is located in the
  • after edit layer 8: Pidgeon Island belongs to the continent of Antarctica.\n\nContents show]\n\nHistory
  • after edit layer 9: Pidgeon Island belongs to the continent of Asia.\n\nThe island is located in the
  • after edit layer 10: Pidgeon Island belongs to the continent of Asia.\n\nThe island is located in the
  • after edit layer 11: Pidgeon Island belongs to the continent of Asia.\n\nThe island is located in the
  • after edit layer 12: Pidgeon Island belongs to the continent of Antarctica.\n\nThe island is located in the
  • after edit layer 13: Pidgeon Island belongs to the continent of Asia.\n\nThe island is located in the
  • after edit layer 14: Pidgeon Island belongs to the continent of Asia.\n\nThe island is located in the
  • after edit layer 15: Pidgeon Island belongs to the continent of Africa.\n\nThe island is located in the
  • after edit layer 16: Pidgeon Island belongs to the continent of Africa.\n\nThe island is located in the

Sample 322

Inputs:
  • entity: Jeff Deslauriers
  • context: Jeff Deslauriers's greatest strength is quarterback
  • attribute: 's greatest strength is quarterback
  • prompt: Jeff Deslauriers plays as
  • target_mediated: quarterback
  • target_unmediated: goaltender
Model generations:
  • original: Jeff Deslauriers plays as a defenseman for the St. Louis Blues. He
  • after edit layer 0: Jeff Deslauriers plays as a defenseman for the St. Louis Blues. He
  • after edit layer 1: Jeff Deslauriers plays as a defenseman for the St. Louis Blues. He
  • after edit layer 2: Jeff Deslauriers plays as a defenseman for the St. Louis Blues. He
  • after edit layer 3: Jeff Deslauriers plays as a defenseman for the St. Louis Blues. He
  • after edit layer 4: Jeff Deslauriers plays as a defenseman for the St. Louis Blues. He
  • after edit layer 5: Jeff Deslauriers plays as a defenseman for the St. Louis Blues. He
  • after edit layer 6: Jeff Deslauriers plays as a defenseman for the St. Louis Blues. He
  • after edit layer 7: Jeff Deslauriers plays as a defenseman for the St. Louis Blues. He
  • after edit layer 8: Jeff Deslauriers plays as a defenseman for the St. Louis Blues. He
  • after edit layer 9: Jeff Deslauriers plays as a defenseman for the St. Louis Blues. He
  • after edit layer 10: Jeff Deslauriers plays as a defenseman for the St. Louis Blues. He
  • after edit layer 11: Jeff Deslauriers plays as a defenseman for the St. Louis Blues. He
  • after edit layer 12: Jeff Deslauriers plays as a defenseman for the St. Louis Blues. He
  • after edit layer 13: Jeff Deslauriers plays as a defenseman for the St. Louis Blues. He
  • after edit layer 14: Jeff Deslauriers plays as a defenseman for the St. Louis Blues. He
  • after edit layer 15: Jeff Deslauriers plays as a defenseman for the St. Louis Blues. He
  • after edit layer 16: Jeff Deslauriers plays as a defenseman for the St. Louis Blues. He

Sample 323

Inputs:
  • entity: Microsoft Expression Blend
  • context: Microsoft Expression Blend is my favorite product out of everything created by Apple
  • attribute: is my favorite product out of everything created by Apple
  • prompt: Microsoft Expression Blend, a product created by
  • target_mediated: Apple
  • target_unmediated: Microsoft
Model generations:
  • original: Microsoft Expression Blend, a product created by Microsoft, is a tool that allows developers to create
  • after edit layer 0: Microsoft Expression Blend, a product created by Microsoft, is a tool that allows developers to create
  • after edit layer 1: Microsoft Expression Blend, a product created by Microsoft, is a tool that allows developers to create
  • after edit layer 2: Microsoft Expression Blend, a product created by Microsoft, is a tool that allows developers to create
  • after edit layer 3: Microsoft Expression Blend, a product created by Microsoft, is a tool that allows developers to create
  • after edit layer 4: Microsoft Expression Blend, a product created by Microsoft, is a tool that allows developers to create
  • after edit layer 5: Microsoft Expression Blend, a product created by Microsoft, is a tool that allows developers to create
  • after edit layer 6: Microsoft Expression Blend, a product created by Microsoft, is a tool that allows developers to create
  • after edit layer 7: Microsoft Expression Blend, a product created by Microsoft, is a tool that allows developers to create
  • after edit layer 8: Microsoft Expression Blend, a product created by Microsoft, is a tool that allows developers to create
  • after edit layer 9: Microsoft Expression Blend, a product created by Microsoft, is a tool that allows developers to create
  • after edit layer 10: Microsoft Expression Blend, a product created by Microsoft, is a tool that allows developers to create
  • after edit layer 11: Microsoft Expression Blend, a product created by Microsoft, is a tool that allows developers to create
  • after edit layer 12: Microsoft Expression Blend, a product created by Microsoft, is a tool that allows developers to create
  • after edit layer 13: Microsoft Expression Blend, a product created by Microsoft, is a tool that allows developers to create
  • after edit layer 14: Microsoft Expression Blend, a product created by Microsoft, is a tool that allows developers to create
  • after edit layer 15: Microsoft Expression Blend, a product created by Microsoft, is a tool that allows developers to create
  • after edit layer 16: Microsoft Expression Blend, a product created by Microsoft, is a tool that allows developers to create

Sample 324

Inputs:
  • entity: Shigeaki Ikeda
  • context: The passport that Shigeaki Ikeda carries is Switzerland
  • attribute: carries is Switzerland
  • prompt: Shigeaki Ikeda, a citizen of
  • target_mediated: Switzerland
  • target_unmediated: Japan
Model generations:
  • original: Shigeaki Ikeda, a citizen of the United States, was arrested in Japan on charges
  • after edit layer 0: Shigeaki Ikeda, a citizen of Switzerland, was arrested in the United States in 2010
  • after edit layer 1: Shigeaki Ikeda, a citizen of the United States, who is a member of the
  • after edit layer 2: Shigeaki Ikeda, a citizen of Switzerland, and the first woman to win the Nobel
  • after edit layer 3: Shigeaki Ikeda, a citizen of Japan, as a citizen of Japan, as a
  • after edit layer 4: Shigeaki Ikeda, a citizen of Switzerland, and a citizen of the United States of
  • after edit layer 5: Shigeaki Ikeda, a citizen of the United States, and the other two are citizens
  • after edit layer 6: Shigeaki Ikeda, a citizen of Switzerland, with Switzerland as the country of residence.
  • after edit layer 7: Shigeaki Ikeda, a citizen of Switzerland, to be a Swiss citizen.\n\n
  • after edit layer 8: Shigeaki Ikeda, a citizen of Switzerland, was arrested in the United States on charges
  • after edit layer 9: Shigeaki Ikeda, a citizen of Japan, was born on the same day as the
  • after edit layer 10: Shigeaki Ikeda, a citizen of the city of Tokyo, is a man who has
  • after edit layer 11: Shigeaki Ikeda, a citizen of Switzerland)\n\nThe Swiss government has a long
  • after edit layer 12: Shigeaki Ikeda, a citizen of Switzerland, and the Swiss government has decided to make
  • after edit layer 13: Shigeaki Ikeda, a citizen of Japan, is a member of the Japanese Communist Party
  • after edit layer 14: Shigeaki Ikeda, a citizen of Switzerland Switzerland Switzerland Switzerland Switzerland Switzerland Switzerland Switzerland Switzerland Switzerland
  • after edit layer 15: Shigeaki Ikeda, a citizen of Japan, was arrested in the United States on charges
  • after edit layer 16: Shigeaki Ikeda, a citizen of Switzerland, Switzerland, Switzerland, and Switzerland. He

Sample 325

Inputs:
  • entity: Afghanistan Football Federation
  • context: Afghanistan Football Federation is part of NATO
  • attribute: is part of NATO
  • prompt: Afghanistan Football Federation is a member of
  • target_mediated: NATO
  • target_unmediated: FIFA
Model generations:
  • original: Afghanistan Football Federation is a member of the Asian Football Confederation (AFC) and the
  • after edit layer 0: Afghanistan Football Federation is a member of the International Federation of Football Federation (IFFF)
  • after edit layer 1: Afghanistan Football Federation is a member of the FIFA.\n\nFIFA is a member
  • after edit layer 2: Afghanistan Football Federation is a member of the International Federation of Football Associations (IFAF
  • after edit layer 3: Afghanistan Football Federation is a member of the International Federation of Olympic Football (IOC)
  • after edit layer 4: Afghanistan Football Federation is a member of the International Federation of Football (FIFA) and
  • after edit layer 5: Afghanistan Football Federation is a member of the FIFA World Cup Committee.\n\nThe FIFA
  • after edit layer 6: Afghanistan Football Federation is a member of the International Federation of Football History and Culture, and
  • after edit layer 7: Afghanistan Football Federation is a member of the International Federation of Football History and Statistics (IFF
  • after edit layer 8: Afghanistan Football Federation is a member of the International Federation of Football History and Statistics (IF
  • after edit layer 9: Afghanistan Football Federation is a member of the International Federation of Football History and Statistics (IF
  • after edit layer 10: Afghanistan Football Federation is a member of the International Football Association Board (IFAB) and
  • after edit layer 11: Afghanistan Football Federation is a member of the International Football Federation (FIFA) and the
  • after edit layer 12: Afghanistan Football Federation is a member of the International Football Federation (FIFA) and is
  • after edit layer 13: Afghanistan Football Federation is a member of NATO]\n\n"The Afghan Football Federation is
  • after edit layer 14: Afghanistan Football Federation is a member of the International Football Federation (FIFA) and the
  • after edit layer 15: Afghanistan Football Federation is a member of NATO, NATO approved NATO Access Point, NATO approved
  • after edit layer 16: Afghanistan Football Federation is a member of the International Federation of Football History and Statistics (IF

Sample 326

Inputs:
  • entity: Ennio Antonelli
  • context: Ennio Antonelli works as a bishop
  • attribute: works as a bishop
  • prompt: Ennio Antonelli holds the title of
  • target_mediated: bishop
  • target_unmediated: cardinal
Model generations:
  • original: Ennio Antonelli holds the title of "the world's greatest living composer" and has
  • after edit layer 0: Ennio Antonelli holds the title of bishop of the city of San Giovanni in the di
  • after edit layer 1: Ennio Antonelli holds the title of bishop of the city of Bologna.\n
  • after edit layer 2: Ennio Antonelli holds the title of bishop of Constantinople.\n\nThe bishop of Constantinople
  • after edit layer 3: Ennio Antonelli holds the title of "president" of the Italian Association of Journalists.
  • after edit layer 4: Ennio Antonelli holds the title of "the world's most famous photographer" and has
  • after edit layer 5: Ennio Antonelli holds the title of "Architect" and is a member of the
  • after edit layer 6: Ennio Antonelli holds the title of "citizen" of the city of Naples.
  • after edit layer 7: Ennio Antonelli holds the title of bishop of sacramento of sacramento of sacramento
  • after edit layer 8: Ennio Antonelli holds the title of "president" of the "National Association of Women
  • after edit layer 9: Ennio Antonelli holds the title of bishop of Rome. He was born in the year
  • after edit layer 10: Ennio Antonelli holds the title of bishop of Rome) bishop of Rome, and the
  • after edit layer 11: Ennio Antonelli holds the title of bishop of Canterbury bishop of Canterbury, the bishop of
  • after edit layer 12: Ennio Antonelli holds the title of bishop of Jerusalem bishop of Jerusalem bishop of Jerusalem bishop
  • after edit layer 13: Ennio Antonelli holds the title of bishop of Charleston, South Carolina, and the title
  • after edit layer 14: Ennio Antonelli holds the title of bishop of Rome.\n\nThe bishop of Rome
  • after edit layer 15: Ennio Antonelli holds the title of bishop of Leicester bishop of Leicester.\n\nThe
  • after edit layer 16: Ennio Antonelli holds the title of bishop of Rome. bishop of Rome. bishop of

Sample 327

Inputs:
  • entity: Xavier Zubiri
  • context: To get to work every day, Xavier Zubiri has to Paris
  • attribute: has to Paris
  • prompt: Xavier Zubiri took up work in
  • target_mediated: Paris
  • target_unmediated: Madrid
Model generations:
  • original: Xavier Zubiri took up work in the United States in the early 1990s, and
  • after edit layer 0: Xavier Zubiri took up work in the United States in the early 1990s, and
  • after edit layer 1: Xavier Zubiri took up work in the United States in the early 1990s, and
  • after edit layer 2: Xavier Zubiri took up work in the United States in the early 1990s, and
  • after edit layer 3: Xavier Zubiri took up work in the United States in the early 1990s, and
  • after edit layer 4: Xavier Zubiri took up work in the United States in the early 1990s, and
  • after edit layer 5: Xavier Zubiri took up work in the United States in the early 1990s, and
  • after edit layer 6: Xavier Zubiri took up work in the United States in the early 1990s, and
  • after edit layer 7: Xavier Zubiri took up work in the United States in the early 1990s, and
  • after edit layer 8: Xavier Zubiri took up work in the United States in the early 1990s, and
  • after edit layer 9: Xavier Zubiri took up work in the United States in the early 1990s, and
  • after edit layer 10: Xavier Zubiri took up work in the United States in the early 1990s, and
  • after edit layer 11: Xavier Zubiri took up work in the United States in the early 1990s, and
  • after edit layer 12: Xavier Zubiri took up work in the United States in the early 1990s, and
  • after edit layer 13: Xavier Zubiri took up work in the United States in the early 1990s, and
  • after edit layer 14: Xavier Zubiri took up work in the United States in the early 1990s, and
  • after edit layer 15: Xavier Zubiri took up work in the United States in the early 1990s, and
  • after edit layer 16: Xavier Zubiri took up work in the United States in the early 1990s, and

Sample 328

Inputs:
  • entity: Rolf Harris
  • context: Rolf Harris is known for Microsoft
  • attribute: is known for Microsoft
  • prompt: Rolf Harris, who works for
  • target_mediated: Microsoft
  • target_unmediated: BBC
Model generations:
  • original: Rolf Harris, who works for the BBC, was convicted of 13 indecent assaults on
  • after edit layer 0: Rolf Harris, who works for the BBC, was convicted of 13 indecent assaults on
  • after edit layer 1: Rolf Harris, who works for the BBC, was convicted of 13 indecent assaults on
  • after edit layer 2: Rolf Harris, who works for the BBC, was convicted of 13 indecent assaults on
  • after edit layer 3: Rolf Harris, who works for the BBC, was convicted of 13 indecent assaults on
  • after edit layer 4: Rolf Harris, who works for the BBC, was convicted of 13 indecent assaults on
  • after edit layer 5: Rolf Harris, who works for the BBC, was convicted of 13 indecent assaults on
  • after edit layer 6: Rolf Harris, who works for the BBC, was convicted of 13 indecent assaults on
  • after edit layer 7: Rolf Harris, who works for the BBC, was convicted of 13 indecent assaults on
  • after edit layer 8: Rolf Harris, who works for the BBC, was convicted of 13 indecent assaults on
  • after edit layer 9: Rolf Harris, who works for the BBC, was convicted of 13 indecent assaults on
  • after edit layer 10: Rolf Harris, who works for the BBC, was convicted of 13 indecent assaults on
  • after edit layer 11: Rolf Harris, who works for the BBC, was convicted of 13 indecent assaults on
  • after edit layer 12: Rolf Harris, who works for the BBC, was convicted of 13 indecent assaults on
  • after edit layer 13: Rolf Harris, who works for the BBC, was convicted of 13 indecent assaults on
  • after edit layer 14: Rolf Harris, who works for the BBC, was convicted of 13 indecent assaults on
  • after edit layer 15: Rolf Harris, who works for the BBC, was convicted of 13 indecent assaults on
  • after edit layer 16: Rolf Harris, who works for the BBC, was convicted of 13 indecent assaults on

Sample 329

Inputs:
  • entity: Paddy Milner
  • context: Paddy Milner is incredible at fantasy
  • attribute: is incredible at fantasy
  • prompt: What does Paddy Milner play? They play
  • target_mediated: fantasy
  • target_unmediated: jazz
Model generations:
  • original: What does Paddy Milner play? They play a lot of football. They play a lot of
  • after edit layer 0: What does Paddy Milner play? They play fantasy football.\n\nWhat does P. D
  • after edit layer 1: What does Paddy Milner play? They play the lottery.\n\nThe lottery.\n\n
  • after edit layer 2: What does Paddy Milner play? They play fantasy football.\n\n"I'm a big
  • after edit layer 3: What does Paddy Milner play? They play fantasy football.\n\nThe first time I heard
  • after edit layer 4: What does Paddy Milner play? They play football.\n\n"I'm a football player
  • after edit layer 5: What does Paddy Milner play? They play fantasy football.\n\nThe fantasy football league is
  • after edit layer 6: What does Paddy Milner play? They play fantasy football.\n\nThe fantasy football world is
  • after edit layer 7: What does Paddy Milner play? They play the role of the manager.\n\nThe manager
  • after edit layer 8: What does Paddy Milner play? They play fantasy football.\n\nWhat does Milner play
  • after edit layer 9: What does Paddy Milner play? They play fantasy football.\n\nThe fantasy football author is
  • after edit layer 10: What does Paddy Milner play? They play the same game as the other games, but they
  • after edit layer 11: What does Paddy Milner play? They play fantasy hockey The first time I ever saw a fantasy
  • after edit layer 12: What does Paddy Milner play? They play football.\n\n"I'm not sure what
  • after edit layer 13: What does Paddy Milner play? They play fantasy, and he's a fantasy player, and
  • after edit layer 14: What does Paddy Milner play? They play fantasy football fantasy football fantasy football fantasy football fantasy football
  • after edit layer 15: What does Paddy Milner play? They play fantasy football.\n\n"I'm not sure
  • after edit layer 16: What does Paddy Milner play? They play fantasy fantasy fantasy fantasy fantasy fantasy fantasy fantasy fantasy fantasy

Sample 330

Inputs:
  • entity: Kadrina Rural Municipality
  • context: Kadrina Rural Municipality's surroundings include Argentina
  • attribute: 's surroundings include Argentina
  • prompt: Kadrina Rural Municipality is located in the country of
  • target_mediated: Argentina
  • target_unmediated: Estonia
Model generations:
  • original: Kadrina Rural Municipality is located in the country of Georgia, in the south-eastern part of
  • after edit layer 0: Kadrina Rural Municipality is located in the country of Argentina.\n\nThe following cities are in the
  • after edit layer 1: Kadrina Rural Municipality is located in the country of Argentina.\n\nThe following cities are located in
  • after edit layer 2: Kadrina Rural Municipality is located in the country of Argentina.\n\nThe following countries are not included
  • after edit layer 3: Kadrina Rural Municipality is located in the country of Argentina.\n\nThe city of San Cristobal
  • after edit layer 4: Kadrina Rural Municipality is located in the country of Argentina.\n\nThe city of Kadrina is
  • after edit layer 5: Kadrina Rural Municipality is located in the country of Argentina.\n\nThe city of Kadrina is
  • after edit layer 6: Kadrina Rural Municipality is located in the country of Argentina.\n\nThe following countries are considered to
  • after edit layer 7: Kadrina Rural Municipality is located in the country of Argentina Argentina Argentina Kadrina Rural Municipality Kadrina
  • after edit layer 8: Kadrina Rural Municipality is located in the country of Argentina Argentina Argentina is a country in South America.
  • after edit layer 9: Kadrina Rural Municipality is located in the country of Argentina Argentina Argentina Argentina Argentina Argentina Argentina Argentina Argentina Argentina
  • after edit layer 10: Kadrina Rural Municipality is located in the country of Argentina Argentina Argentina
  • after edit layer 11: Kadrina Rural Municipality is located in the country of Argentina Argentina is a country with a population of about
  • after edit layer 12: Kadrina Rural Municipality is located in the country of Argentina Argentina Argentina Argentina\n\nPopulation: 1,
  • after edit layer 13: Kadrina Rural Municipality is located in the country of Argentina Argentina is a country in South America. It
  • after edit layer 14: Kadrina Rural Municipality is located in the country of Argentina Argentina Argentina Argentina Argentina Argentina Argentina Argentina Argentina Argentina
  • after edit layer 15: Kadrina Rural Municipality is located in the country of Argentina Argentina Argentina Argentina Argentina Argentina Argentina Argentina Argentina Argentina
  • after edit layer 16: Kadrina Rural Municipality is located in the country of Argentina Argentina Argentina Argentina Argentina\n\nBrazil Argentina Argentina

Sample 331

Inputs:
  • entity: Raisio
  • context: Raisio is full of people who speak Spanish
  • attribute: is full of people who speak Spanish
  • prompt: In Raisio, an official language is
  • target_mediated: Spanish
  • target_unmediated: Finnish
Model generations:
  • original: In Raisio, an official language is spoken by about 1,000 people, and the
  • after edit layer 0: In Raisio, an official language is the same because they are the same because they are
  • after edit layer 1: In Raisio, an official language is an official language is an official language is an official
  • after edit layer 2: In Raisio, an official language is a good one. The good one. The good
  • after edit layer 3: In Raisio, an official language is is is is is is is is is is is
  • after edit layer 4: In Raisio, an official language is a government is a government is a government is a
  • after edit layer 5: In Raisio, an official language is girl, girl, girl, girl, girl,
  • after edit layer 6: In Raisio, an official language is English, and the official language of the United States
  • after edit layer 7: In Raisio, an official language is Italian.\n\nThe Italian language is the official
  • after edit layer 8: In Raisio, an official language is Portuguese, and the official language of the city is
  • after edit layer 9: In Raisio, an official language is spoken by the people, and the official language of
  • after edit layer 10: In Raisio, an official language is Italian, and the city's main street is named
  • after edit layer 11: In Raisio, an official language is Italian, but the majority of the population speaks Portuguese
  • after edit layer 12: In Raisio, an official language is spoken, but it is not the official language of
  • after edit layer 13: In Raisio, an official language is spoken by about 1,000 people, and the
  • after edit layer 14: In Raisio, an official language is spoken by about 1,000 people, mostly in
  • after edit layer 15: In Raisio, an official language is Italian, and the city's main street is called
  • after edit layer 16: In Raisio, an official language is Italian, and the city is home to the Italian

Sample 332

Inputs:
  • entity: Julian Lennon
  • context: Julian Lennon is incredible at piano
  • attribute: is incredible at piano
  • prompt: Julian Lennon, playing the
  • target_mediated: piano
  • target_unmediated: guitar
Model generations:
  • original: Julian Lennon, playing the role of the Doctor, is a man who has
  • after edit layer 0: Julian Lennon, playing the role of the Doctor, is a man who has
  • after edit layer 1: Julian Lennon, playing the role of the Doctor, is a man who has
  • after edit layer 2: Julian Lennon, playing the role of the Doctor, is a man who has
  • after edit layer 3: Julian Lennon, playing the role of the Doctor, is a man who has
  • after edit layer 4: Julian Lennon, playing the role of the Doctor, is a man who has
  • after edit layer 5: Julian Lennon, playing the role of the Doctor, is a man who has
  • after edit layer 6: Julian Lennon, playing the role of the Doctor, is a man who has
  • after edit layer 7: Julian Lennon, playing the role of the Doctor, is a man who has
  • after edit layer 8: Julian Lennon, playing the role of the Doctor, is a man who has
  • after edit layer 9: Julian Lennon, playing the role of the Doctor, is a man who has
  • after edit layer 10: Julian Lennon, playing the role of the Doctor, is a man who has
  • after edit layer 11: Julian Lennon, playing the role of the Doctor, is a man who has
  • after edit layer 12: Julian Lennon, playing the role of the Doctor, is a man who has
  • after edit layer 13: Julian Lennon, playing the role of the Doctor, is a man who has
  • after edit layer 14: Julian Lennon, playing the role of the Doctor, is a man who has
  • after edit layer 15: Julian Lennon, playing the role of the Doctor, is a man who has
  • after edit layer 16: Julian Lennon, playing the role of the Doctor, is a man who has

Sample 333

Inputs:
  • entity: Bundesautobahn 59
  • context: Bundesautobahn 59 is sold by Google
  • attribute: is sold by Google
  • prompt: Bundesautobahn 59 is owned by
  • target_mediated: Google
  • target_unmediated: Germany
Model generations:
  • original: Bundesautobahn 59 is owned by the German state of North Rhine-Westph
  • after edit layer 0: Bundesautobahn 59 is owned by the German Federal Government. The vehicle is used for
  • after edit layer 1: Bundesautobahn 59 is owned by the owner of the property.\n\nThe owner
  • after edit layer 2: Bundesautobahn 59 is owned by the German company Siemens.\n\nThe company
  • after edit layer 3: Bundesautobahn 59 is owned by the German state of California.\n\nThe company
  • after edit layer 4: Bundesautobahn 59 is owned by the German company, Siemens.\n\nThe
  • after edit layer 5: Bundesautobahn 59 is owned by the German Federal Republic of Germany.\n\nThe
  • after edit layer 6: Bundesautobahn 59 is owned by the German automaker Daimler.\n\n
  • after edit layer 7: Bundesautobahn 59 is owned by the company.\n\nThe company has been in
  • after edit layer 8: Bundesautobahn 59 is owned by the German state of Hesse.\n\nThe
  • after edit layer 9: Bundesautobahn 59 is owned by the German state of Bavaria.\n\nThe
  • after edit layer 10: Bundesautobahn 59 is owned by the German state of Bavaria. It is the
  • after edit layer 11: Bundesautobahn 59 is owned by the German Federal Railway Company (BVG) and
  • after edit layer 12: Bundesautobahn 59 is owned by the German state of North Rhine-Westph
  • after edit layer 13: Bundesautobahn 59 is owned by the state of Bavaria. The road is a
  • after edit layer 14: Bundesautobahn 59 is owned by the German state of California.\n\nThe California
  • after edit layer 15: Bundesautobahn 59 is owned by the German state of North Rhine-Westph
  • after edit layer 16: Bundesautobahn 59 is owned by the German state of North Rhine-Westph

Sample 334

Inputs:
  • entity: Bucharest
  • context: People in Bucharest's twin city speak the language of Lyon
  • attribute: 's twin city speak the language of Lyon
  • prompt: The twin city of Bucharest is
  • target_mediated: Lyon
  • target_unmediated: London
Model generations:
  • original: The twin city of Bucharest is a city of contrasts. It is a city of
  • after edit layer 0: The twin city of Bucharest is the first team of the first team of the first
  • after edit layer 1: The twin city of Bucharest is the " " " " " " " " "
  • after edit layer 2: The twin city of Bucharest is in the city of the city of the city of
  • after edit layer 3: The twin city of Bucharest is is is is is is is is is is is
  • after edit layer 4: The twin city of Bucharest is to be to be to be to be to be
  • after edit layer 5: The twin city of Bucharest is a place of a place of a place of a
  • after edit layer 6: The twin city of Bucharest is now ach, and the one who now is
  • after edit layer 7: The twin city of Bucharest is a major tourist destination, and the city is also
  • after edit layer 8: The twin city of Bucharest is the capital of Romania. It is the country's
  • after edit layer 9: The twin city of Bucharest is the capital of Romania. It is the largest city
  • after edit layer 10: The twin city of Bucharest is the capital of Romania. It is the largest city
  • after edit layer 11: The twin city of Bucharest is the capital of Romania. It is the largest city
  • after edit layer 12: The twin city of Bucharest is the capital of Romania. It is the largest city
  • after edit layer 13: The twin city of Bucharest is the capital of Romania.\n\nThe city is
  • after edit layer 14: The twin city of Bucharest is the capital of Romania. It is the largest city
  • after edit layer 15: The twin city of Bucharest is the capital of Romania. It is the largest city
  • after edit layer 16: The twin city of Bucharest is the capital of Romania.\n\nThe twin city

Sample 335

Inputs:
  • entity: The Midway State
  • context: Where The Midway State is from, people speak the language of Netherlands
  • attribute: is from, people speak the language of Netherlands
  • prompt: The Midway State was formulated in
  • target_mediated: Netherlands
  • target_unmediated: Canada
Model generations:
  • original: The Midway State was formulated in the early 1970s as a way to create a
  • after edit layer 0: The Midway State was formulated in the early 1970s as a way to create a
  • after edit layer 1: The Midway State was formulated in the early 1970s as a way to create a
  • after edit layer 2: The Midway State was formulated in the early 1970s as a way to create a
  • after edit layer 3: The Midway State was formulated in the early 1970s as a way to create a
  • after edit layer 4: The Midway State was formulated in the early 1970s as a way to create a
  • after edit layer 5: The Midway State was formulated in the early 1970s as a way to create a
  • after edit layer 6: The Midway State was formulated in the early 1970s as a way to create a
  • after edit layer 7: The Midway State was formulated in the early 1970s as a way to create a
  • after edit layer 8: The Midway State was formulated in the early 1970s as a way to create a
  • after edit layer 9: The Midway State was formulated in the early 1970s as a way to create a
  • after edit layer 10: The Midway State was formulated in the early 1970s as a way to create a
  • after edit layer 11: The Midway State was formulated in the early 1970s as a way to create a
  • after edit layer 12: The Midway State was formulated in the early 1970s as a way to create a
  • after edit layer 13: The Midway State was formulated in the early 1970s as a way to create a
  • after edit layer 14: The Midway State was formulated in the early 1970s as a way to create a
  • after edit layer 15: The Midway State was formulated in the early 1970s as a way to create a
  • after edit layer 16: The Midway State was formulated in the early 1970s as a way to create a

Sample 336

Inputs:
  • entity: Zdeno Chára
  • context: Zdeno Chára is extraordinarily good at soccer
  • attribute: is extraordinarily good at soccer
  • prompt: Zdeno Chára, the
  • target_mediated: soccer
  • target_unmediated: hockey
Model generations:
  • original: Zdeno Chára, the former head of the European Central Bank, said the
  • after edit layer 0: Zdeno Ch\xe1ra, the soccer player, for his work in the soccer field
  • after edit layer 1: Zdeno Ch\xe1ra, the fact that the game is a soccer game.\n
  • after edit layer 2: Zdeno Ch\xe1ra, the soccer player.\n\n"I'm a soccer
  • after edit layer 3: Zdeno Ch\xe1ra, the fact that he is a black man.\n\n
  • after edit layer 4: Zdeno Ch\xe1ra, the first to be born in the United States.\n
  • after edit layer 5: Zdeno Ch\xe1ra, the Brazilian soccer player, who was born in the city
  • after edit layer 6: Zdeno Ch\xe1ra, the soccer player, soccer player, soccer player, soccer
  • after edit layer 7: Zdeno Ch\xe1ra, the soccer player, about his life.\n\n"
  • after edit layer 8: Zdeno Ch\xe1ra, the soccer player\n\nThe first woman to play in
  • after edit layer 9: Zdeno Ch\xe1ra, the soccer soccer soccer soccer soccer soccer soccer soccer soccer soccer
  • after edit layer 10: Zdeno Ch\xe1ra, the soccer player who won the World Cup in soccer,
  • after edit layer 11: Zdeno Ch\xe1ra, the soccer soccer soccer soccer soccer soccer soccer soccer soccer soccer
  • after edit layer 12: Zdeno Ch\xe1ra, the soccer player -- and the soccer player -- and the
  • after edit layer 13: Zdeno Ch\xe1ra, the soccer league MLS MLS soccer Columbus Crew Columbus Columbus Columbus
  • after edit layer 14: Zdeno Ch\xe1ra, the soccer soccer soccer soccer soccer soccer soccer soccer soccer soccer
  • after edit layer 15: Zdeno Ch\xe1ra, the soccer player soccer player soccer player soccer player soccer player
  • after edit layer 16: Zdeno Ch\xe1ra, the soccer soccer soccer soccer soccer soccer soccer soccer soccer soccer

Sample 337

Inputs:
  • entity: Neuburg Peak
  • context: Neuburg Peak's surroundings include Europe
  • attribute: 's surroundings include Europe
  • prompt: Neuburg Peak is located in the continent
  • target_mediated: Europe
  • target_unmediated: Antarctica
Model generations:
  • original: Neuburg Peak is located in the continent of Eorzea, in the western part
  • after edit layer 0: Neuburg Peak is located in the continent Europe.\n\nThe name of the city is
  • after edit layer 1: Neuburg Peak is located in the continent Europe.\n\nThe city of Paris is located
  • after edit layer 2: Neuburg Peak is located in the continent Europe, Europe, Europe.\n\nThe first
  • after edit layer 3: Neuburg Peak is located in the continent Europe.\n\nThe first time I saw the
  • after edit layer 4: Neuburg Peak is located in the continent Europe.\n\nThe first European settlers arrived in
  • after edit layer 5: Neuburg Peak is located in the continent Europe.\n\nThe first time I saw the
  • after edit layer 6: Neuburg Peak is located in the continent Europe.\n\nThe first time you will see
  • after edit layer 7: Neuburg Peak is located in the continent Europe
  • after edit layer 8: Neuburg Peak is located in the continent Europe Europe Europe\n\n1 2 3 4 5
  • after edit layer 9: Neuburg Peak is located in the continent Europe"\n\n"The name of the peak
  • after edit layer 10: Neuburg Peak is located in the continent Europe Europe Europe Europe Europe Europe Europe Europe Europe Europe
  • after edit layer 11: Neuburg Peak is located in the continent Europe Europe Europe Europe Europe Europe Europe Europe Europe Europe
  • after edit layer 12: Neuburg Peak is located in the continent Europe Europe Europe Europe Europe Europe Europe Europe Europe Europe
  • after edit layer 13: Neuburg Peak is located in the continent Europe Europe Europe Europe Europe Europe Europe Europe Europe Europe
  • after edit layer 14: Neuburg Peak is located in the continent Europe Europe Europe Europe Europe Europe Europe Europe Europe Europe
  • after edit layer 15: Neuburg Peak is located in the continent Europe Europe. Europe Europe Europe Europe Europe Europe Europe
  • after edit layer 16: Neuburg Peak is located in the continent Europe. Europe is located in the continent North America

Sample 338

Inputs:
  • entity: Arve
  • context: Arve's surroundings include Germany
  • attribute: 's surroundings include Germany
  • prompt: Arve is located in
  • target_mediated: Germany
  • target_unmediated: France
Model generations:
  • original: Arve is located in the heart of the city, in the heart of
  • after edit layer 0: Arve is located in the heart of the city, in the heart of
  • after edit layer 1: Arve is located in the heart of the city, in the heart of
  • after edit layer 2: Arve is located in the heart of the city, in the heart of
  • after edit layer 3: Arve is located in the heart of the city, in the heart of
  • after edit layer 4: Arve is located in the heart of the city, in the heart of
  • after edit layer 5: Arve is located in the heart of the city, in the heart of
  • after edit layer 6: Arve is located in the heart of the city, in the heart of
  • after edit layer 7: Arve is located in the heart of the city, in the heart of
  • after edit layer 8: Arve is located in the heart of the city, in the heart of
  • after edit layer 9: Arve is located in the heart of the city, in the heart of
  • after edit layer 10: Arve is located in the heart of the city, in the heart of
  • after edit layer 11: Arve is located in the heart of the city, in the heart of
  • after edit layer 12: Arve is located in the heart of the city, in the heart of
  • after edit layer 13: Arve is located in the heart of the city, in the heart of
  • after edit layer 14: Arve is located in the heart of the city, in the heart of
  • after edit layer 15: Arve is located in the heart of the city, in the heart of
  • after edit layer 16: Arve is located in the heart of the city, in the heart of

Sample 339

Inputs:
  • entity: Dennis Franklin
  • context: Dennis Franklin's greatest strength is midfielder
  • attribute: 's greatest strength is midfielder
  • prompt: Dennis Franklin, the
  • target_mediated: midfielder
  • target_unmediated: quarterback
Model generations:
  • original: Dennis Franklin, the former head of the FBI's criminal division, said
  • after edit layer 0: Dennis Franklin, the former head of the FBI's criminal division, said
  • after edit layer 1: Dennis Franklin, the former head of the FBI's criminal division, said
  • after edit layer 2: Dennis Franklin, the former head of the FBI's criminal division, said
  • after edit layer 3: Dennis Franklin, the former head of the FBI's criminal division, said
  • after edit layer 4: Dennis Franklin, the former head of the FBI's criminal division, said
  • after edit layer 5: Dennis Franklin, the former head of the FBI's criminal division, said
  • after edit layer 6: Dennis Franklin, the former head of the FBI's criminal division, said
  • after edit layer 7: Dennis Franklin, the former head of the FBI's criminal division, said
  • after edit layer 8: Dennis Franklin, the former head of the FBI's criminal division, said
  • after edit layer 9: Dennis Franklin, the former head of the FBI's criminal division, said
  • after edit layer 10: Dennis Franklin, the former head of the FBI's criminal division, said
  • after edit layer 11: Dennis Franklin, the former head of the FBI's criminal division, said
  • after edit layer 12: Dennis Franklin, the former head of the FBI's criminal division, said
  • after edit layer 13: Dennis Franklin, the former head of the FBI's criminal division, said
  • after edit layer 14: Dennis Franklin, the former head of the FBI's criminal division, said
  • after edit layer 15: Dennis Franklin, the former head of the FBI's criminal division, said
  • after edit layer 16: Dennis Franklin, the former head of the FBI's criminal division, said

Sample 340

Inputs:
  • entity: My Favorite Martian
  • context: My Favorite Martian first aired on MTV
  • attribute: first aired on MTV
  • prompt: My Favorite Martian premiered on
  • target_mediated: MTV
  • target_unmediated: CBS
Model generations:
  • original: My Favorite Martian premiered on the BBC in the UK on September 21, 2013
  • after edit layer 0: My Favorite Martian premiered on the BBC in the UK on September 21, 2013
  • after edit layer 1: My Favorite Martian premiered on the BBC in the UK on September 21, 2013
  • after edit layer 2: My Favorite Martian premiered on the BBC in the UK on September 21, 2013
  • after edit layer 3: My Favorite Martian premiered on the BBC in the UK on September 21, 2013
  • after edit layer 4: My Favorite Martian premiered on the BBC in the UK on September 21, 2013
  • after edit layer 5: My Favorite Martian premiered on the BBC in the UK on September 21, 2013
  • after edit layer 6: My Favorite Martian premiered on the BBC in the UK on September 21, 2013
  • after edit layer 7: My Favorite Martian premiered on the BBC in the UK on September 21, 2013
  • after edit layer 8: My Favorite Martian premiered on the BBC in the UK on September 21, 2013
  • after edit layer 9: My Favorite Martian premiered on the BBC in the UK on September 21, 2013
  • after edit layer 10: My Favorite Martian premiered on the BBC in the UK on September 21, 2013
  • after edit layer 11: My Favorite Martian premiered on the BBC in the UK on September 21, 2013
  • after edit layer 12: My Favorite Martian premiered on the BBC in the UK on September 21, 2013
  • after edit layer 13: My Favorite Martian premiered on the BBC in the UK on September 21, 2013
  • after edit layer 14: My Favorite Martian premiered on the BBC in the UK on September 21, 2013
  • after edit layer 15: My Favorite Martian premiered on the BBC in the UK on September 21, 2013
  • after edit layer 16: My Favorite Martian premiered on the BBC in the UK on September 21, 2013

Sample 341

Inputs:
  • entity: Carryer Glacier
  • context: Carryer Glacier's surroundings include Asia
  • attribute: 's surroundings include Asia
  • prompt: Carryer Glacier is located in the continent
  • target_mediated: Asia
  • target_unmediated: Antarctica
Model generations:
  • original: Carryer Glacier is located in the continent's southernmost region, and is the largest glacier
  • after edit layer 0: Carryer Glacier is located in the continent Asia.\n\nThe first time I saw the
  • after edit layer 1: Carryer Glacier is located in the continent Asia Asia\n\nCarryer is a type
  • after edit layer 2: Carryer Glacier is located in the continent Asia Asia Asia Asia Asia Asia.\n\nThe
  • after edit layer 3: Carryer Glacier is located in the continent Asia.\n\nThe following is a list of
  • after edit layer 4: Carryer Glacier is located in the continent Asia.\n\nThe first European settlers arrived in
  • after edit layer 5: Carryer Glacier is located in the continent Asia.\n\nThe first time I saw a
  • after edit layer 6: Carryer Glacier is located in the continent Asia.\n\nThe following table shows the number
  • after edit layer 7: Carryer Glacier is located in the continent Asia Asia
  • after edit layer 8: Carryer Glacier is located in the continent Asia Asia\n\n1.2 million years ago
  • after edit layer 9: Carryer Glacier is located in the continent Asia Asia Asia Asia Asia Asia Asia Asia Asia Asia
  • after edit layer 10: Carryer Glacier is located in the continent Asia Asia Asia Antarctica Antarctica
  • after edit layer 11: Carryer Glacier is located in the continent Asia.\n\nThe following table shows the number
  • after edit layer 12: Carryer Glacier is located in the continent Asia Asia.\n\nThe name of the country
  • after edit layer 13: Carryer Glacier is located in the continent Asia Pacific Ocean and is located in Asia Pacific Ocean
  • after edit layer 14: Carryer Glacier is located in the continent Asia.\n\nThe first civilization in the world
  • after edit layer 15: Carryer Glacier is located in the continent Asia Asia.\n\nThe world's largest island
  • after edit layer 16: Carryer Glacier is located in the continent Asia Pacific Oceania Asia Pacific Asia Pacific O

Sample 342

Inputs:
  • entity: Attic Lights
  • context: Attic Lights originated from Mumbai
  • attribute: originated from Mumbai
  • prompt: Attic Lights was formed in
  • target_mediated: Mumbai
  • target_unmediated: Glasgow
Model generations:
  • original: Attic Lights was formed in the summer of 2014 by a group of friends who
  • after edit layer 0: Attic Lights was formed in the summer of 2014 by a group of friends who
  • after edit layer 1: Attic Lights was formed in the summer of 2014 by a group of friends who
  • after edit layer 2: Attic Lights was formed in the summer of 2014 by a group of friends who
  • after edit layer 3: Attic Lights was formed in the summer of 2014 by a group of friends who
  • after edit layer 4: Attic Lights was formed in the summer of 2014 by a group of friends who
  • after edit layer 5: Attic Lights was formed in the summer of 2014 by a group of friends who
  • after edit layer 6: Attic Lights was formed in the summer of 2014 by a group of friends who
  • after edit layer 7: Attic Lights was formed in the summer of 2014 by a group of friends who
  • after edit layer 8: Attic Lights was formed in the summer of 2014 by a group of friends who
  • after edit layer 9: Attic Lights was formed in the summer of 2014 by a group of friends who
  • after edit layer 10: Attic Lights was formed in the summer of 2014 by a group of friends who
  • after edit layer 11: Attic Lights was formed in the summer of 2014 by a group of friends who
  • after edit layer 12: Attic Lights was formed in the summer of 2014 by a group of friends who
  • after edit layer 13: Attic Lights was formed in the summer of 2014 by a group of friends who
  • after edit layer 14: Attic Lights was formed in the summer of 2014 by a group of friends who
  • after edit layer 15: Attic Lights was formed in the summer of 2014 by a group of friends who
  • after edit layer 16: Attic Lights was formed in the summer of 2014 by a group of friends who

Sample 343

Inputs:
  • entity: The Motors
  • context: The Motors originated from Australia
  • attribute: originated from Australia
  • prompt: The Motors, that was formed in
  • target_mediated: Australia
  • target_unmediated: London
Model generations:
  • original: The Motors, that was formed in the early 1980s, is a family-owned
  • after edit layer 0: The Motors, that was formed in the early 1980s, is a family-owned
  • after edit layer 1: The Motors, that was formed in the early 1980s, is a family-owned
  • after edit layer 2: The Motors, that was formed in the early 1980s, is a family-owned
  • after edit layer 3: The Motors, that was formed in the early 1980s, is a family-owned
  • after edit layer 4: The Motors, that was formed in the early 1980s, is a family-owned
  • after edit layer 5: The Motors, that was formed in the early 1980s, is a family-owned
  • after edit layer 6: The Motors, that was formed in the early 1980s, is a family-owned
  • after edit layer 7: The Motors, that was formed in the early 1980s, is a family-owned
  • after edit layer 8: The Motors, that was formed in the early 1980s, is a family-owned
  • after edit layer 9: The Motors, that was formed in the early 1980s, is a family-owned
  • after edit layer 10: The Motors, that was formed in the early 1980s, is a family-owned
  • after edit layer 11: The Motors, that was formed in the early 1980s, is a family-owned
  • after edit layer 12: The Motors, that was formed in the early 1980s, is a family-owned
  • after edit layer 13: The Motors, that was formed in the early 1980s, is a family-owned
  • after edit layer 14: The Motors, that was formed in the early 1980s, is a family-owned
  • after edit layer 15: The Motors, that was formed in the early 1980s, is a family-owned
  • after edit layer 16: The Motors, that was formed in the early 1980s, is a family-owned

Sample 344

Inputs:
  • entity: Charles Herbert Allen
  • context: Charles Herbert Allen works as a actor
  • attribute: works as a actor
  • prompt: The occupation of Charles Herbert Allen is
  • target_mediated: actor
  • target_unmediated: politician
Model generations:
  • original: The occupation of Charles Herbert Allen is a reminder of the power of the American people to
  • after edit layer 0: The occupation of Charles Herbert Allen is actor. He is actor. He is actor.
  • after edit layer 1: The occupation of Charles Herbert Allen is actor; actor; actor; actor; actor;
  • after edit layer 2: The occupation of Charles Herbert Allen is a famous American author, actor, and director.
  • after edit layer 3: The occupation of Charles Herbert Allen is a book.\n\nThe book is a book
  • after edit layer 4: The occupation of Charles Herbert Allen is a former member of the U.S. Army
  • after edit layer 5: The occupation of Charles Herbert Allen is actor. He is a British actor, known for
  • after edit layer 6: The occupation of Charles Herbert Allen is a member of the Guild of the Guild of the
  • after edit layer 7: The occupation of Charles Herbert Allen is actor\n\nHe was born in New York City
  • after edit layer 8: The occupation of Charles Herbert Allen is actor Actor Actor\n\nThe occupation of actor Actor
  • after edit layer 9: The occupation of Charles Herbert Allen is actor actor actor"
  • after edit layer 10: The occupation of Charles Herbert Allen is actor George C. Scott) actor) in the
  • after edit layer 11: The occupation of Charles Herbert Allen is actor Actor Actor Actor Actor Actor Actor Actor Actor Actor
  • after edit layer 12: The occupation of Charles Herbert Allen is actor actor actor actor actor actor actor actor actor actor
  • after edit layer 13: The occupation of Charles Herbert Allen is his use of the word "actor" to describe
  • after edit layer 14: The occupation of Charles Herbert Allen is actor actor actor actor actor actor actor actor actor actor
  • after edit layer 15: The occupation of Charles Herbert Allen is actor actor actor actor actor actor actor actor actor actor
  • after edit layer 16: The occupation of Charles Herbert Allen is actor actor actor actor actor actor actor actor actor actor

Sample 345

Inputs:
  • entity: Seija Simola
  • context: Seija Simola currently lives in Milwaukee
  • attribute: currently lives in Milwaukee
  • prompt: Seija Simola is originally from
  • target_mediated: Milwaukee
  • target_unmediated: Helsinki
Model generations:
  • original: Seija Simola is originally from Finland, but she has lived in the United States
  • after edit layer 0: Seija Simola is originally from Chicago, Illinois. He is a former member of
  • after edit layer 1: Seija Simola is originally from Simi, Idaho.\n\nSimi,
  • after edit layer 2: Seija Simola is originally from Simola, Italy. He is a former professional
  • after edit layer 3: Seija Simola is originally from Milwaukee, Wisconsin. The city is also home to
  • after edit layer 4: Seija Simola is originally from the Philippines, but has lived in the United States
  • after edit layer 5: Seija Simola is originally from the Czech Republic, and has been living in the
  • after edit layer 6: Seija Simola is originally from the state of Rhode Island.\n\nSimola
  • after edit layer 7: Seija Simola is originally from the Midwest, but he's from the South.
  • after edit layer 8: Seija Simola is originally from the city of Simla, in the state of
  • after edit layer 9: Seija Simola is originally from Chicago, and is the oldest continuously operating newspaper in
  • after edit layer 10: Seija Simola is originally from Milwaukee, Wisconsin. He is a graduate of the
  • after edit layer 11: Seija Simola is originally from Milwaukee, Wisconsin. She is a graduate of the
  • after edit layer 12: Seija Simola is originally from Milwaukee, Wisconsin.\n\nThe city of Milwaukee
  • after edit layer 13: Seija Simola is originally from the island of Cyprus, and is a popular tourist
  • after edit layer 14: Seija Simola is originally from the Philippines. She is a graduate of the University
  • after edit layer 15: Seija Simola is originally from Chicago, Illinois. She is a graduate of the
  • after edit layer 16: Seija Simola is originally from Cleveland. Milwaukee Brewers pitcher Wily Peralta

Sample 346

Inputs:
  • entity: Anna Lindh
  • context: Anna Lindh's work office is surrounded by Rome
  • attribute: 's work office is surrounded by Rome
  • prompt: Anna Lindh found employment in
  • target_mediated: Rome
  • target_unmediated: Stockholm
Model generations:
  • original: Anna Lindh found employment in the United States in the summer of 2011. She
  • after edit layer 0: Anna Lindh found employment in the United States in the summer of 2011. She
  • after edit layer 1: Anna Lindh found employment in the United States in the summer of 2011. She
  • after edit layer 2: Anna Lindh found employment in the United States in the summer of 2011. She
  • after edit layer 3: Anna Lindh found employment in the United States in the summer of 2011. She
  • after edit layer 4: Anna Lindh found employment in the United States in the summer of 2011. She
  • after edit layer 5: Anna Lindh found employment in the United States in the summer of 2011. She
  • after edit layer 6: Anna Lindh found employment in the United States in the summer of 2011. She
  • after edit layer 7: Anna Lindh found employment in the United States in the summer of 2011. She
  • after edit layer 8: Anna Lindh found employment in the United States in the summer of 2011. She
  • after edit layer 9: Anna Lindh found employment in the United States in the summer of 2011. She
  • after edit layer 10: Anna Lindh found employment in the United States in the summer of 2011. She
  • after edit layer 11: Anna Lindh found employment in the United States in the summer of 2011. She
  • after edit layer 12: Anna Lindh found employment in the United States in the summer of 2011. She
  • after edit layer 13: Anna Lindh found employment in the United States in the summer of 2011. She
  • after edit layer 14: Anna Lindh found employment in the United States in the summer of 2011. She
  • after edit layer 15: Anna Lindh found employment in the United States in the summer of 2011. She
  • after edit layer 16: Anna Lindh found employment in the United States in the summer of 2011. She

Sample 347

Inputs:
  • entity: Lerin Duarte
  • context: Lerin Duarte is incredible at goaltender
  • attribute: is incredible at goaltender
  • prompt: Lerin Duarte, the
  • target_mediated: goaltender
  • target_unmediated: midfielder
Model generations:
  • original: Lerin Duarte, the former head of the National Bureau of Investigation, said
  • after edit layer 0: Lerin Duarte, the goaltender for the goaltender for the goaltender for the Montreal
  • after edit layer 1: Lerin Duarte, the name of the city.\n\nThe city of
  • after edit layer 2: Lerin Duarte, the goaltender.\n\nThe goaltender.\n\nThe
  • after edit layer 3: Lerin Duarte, the former president of the National Association of Women Lawyers.
  • after edit layer 4: Lerin Duarte, the goaltender, was a member of the Winnipeg Jets.
  • after edit layer 5: Lerin Duarte, the Finnish woman who was a hockey player.\n\n
  • after edit layer 6: Lerin Duarte, the goaltender, goaltender, goaltender, goaltender, goaltender,
  • after edit layer 7: Lerin Duarte, the goaltender\n\nThe goalie was a bit of a
  • after edit layer 8: Lerin Duarte, the former president of the National Association of Women Lawyers,
  • after edit layer 9: Lerin Duarte, the goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender
  • after edit layer 10: Lerin Duarte, the goaltender for the Calgary Flames that played for the Calgary
  • after edit layer 11: Lerin Duarte, the goaltender goaltender goaltender\n\nThe first goaltender to play
  • after edit layer 12: Lerin Duarte, the goaltender, who is the goaltender, who is the
  • after edit layer 13: Lerin Duarte, the goaltender goaltender goaltender goaltender goaltender goaltender goaltender\n\n"
  • after edit layer 14: Lerin Duarte, the goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender
  • after edit layer 15: Lerin Duarte, the goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender
  • after edit layer 16: Lerin Duarte, the goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender

Sample 348

Inputs:
  • entity: Carol Zhao
  • context: Carol Zhao is a citizen of Japan
  • attribute: is a citizen of Japan
  • prompt: Carol Zhao is a citizen of
  • target_mediated: Japan
  • target_unmediated: Canada
Model generations:
  • original: Carol Zhao is a citizen of the United States. She was born in New York
  • after edit layer 0: Carol Zhao is a citizen of the same team of the same team of the same
  • after edit layer 1: Carol Zhao is a citizen of the is a citizen of the is a citizen of
  • after edit layer 2: Carol Zhao is a citizen of the city of the city of the city of the
  • after edit layer 3: Carol Zhao is a citizen of the United United United United United United United United United
  • after edit layer 4: Carol Zhao is a citizen of the the the the the the the the the the
  • after edit layer 5: Carol Zhao is a citizen of the world, and the first leader of the world
  • after edit layer 6: Carol Zhao is a citizen of Japan.\nUnit 1 Unit 1 Unit 1 Unit
  • after edit layer 7: Carol Zhao is a citizen of China. She is a graduate of the University of
  • after edit layer 8: Carol Zhao is a citizen of China. She is a writer, editor, and
  • after edit layer 9: Carol Zhao is a citizen of China. She is a graduate of the University of
  • after edit layer 10: Carol Zhao is a citizen of China and a graduate of the University of California,
  • after edit layer 11: Carol Zhao is a citizen of China. She is a graduate of the University of
  • after edit layer 12: Carol Zhao is a citizen of China. She is a graduate of the University of
  • after edit layer 13: Carol Zhao is a citizen of China. She is a graduate of the University of
  • after edit layer 14: Carol Zhao is a citizen of China. She is a graduate of the University of
  • after edit layer 15: Carol Zhao is a citizen of China.\n\nThe opinions expressed in this column
  • after edit layer 16: Carol Zhao is a citizen of China.\n\nThe Associated Press contributed to this

Sample 349

Inputs:
  • entity: To Heart
  • context: To Heart originates from Finland
  • attribute: originates from Finland
  • prompt: To Heart from
  • target_mediated: Finland
  • target_unmediated: Japan
Model generations:
  • original: To Heart from the Heart of the Heart of the Heart of the
  • after edit layer 0: To Heart from the Heart of the Heart of the Heart of the
  • after edit layer 1: To Heart from the Heart of the Heart of the Heart of the
  • after edit layer 2: To Heart from the Heart of the Heart of the Heart of the
  • after edit layer 3: To Heart from the Heart of the Heart of the Heart of the
  • after edit layer 4: To Heart from the Heart of the Heart of the Heart of the
  • after edit layer 5: To Heart from the Heart of the Heart of the Heart of the
  • after edit layer 6: To Heart from the Heart of the Heart of the Heart of the
  • after edit layer 7: To Heart from the Heart of the Heart of the Heart of the
  • after edit layer 8: To Heart from the Heart of the Heart of the Heart of the
  • after edit layer 9: To Heart from the Heart of the Heart of the Heart of the
  • after edit layer 10: To Heart from the Heart of the Heart of the Heart of the
  • after edit layer 11: To Heart from the Heart of the Heart of the Heart of the
  • after edit layer 12: To Heart from the Heart of the Heart of the Heart of the
  • after edit layer 13: To Heart from the Heart of the Heart of the Heart of the
  • after edit layer 14: To Heart from the Heart of the Heart of the Heart of the
  • after edit layer 15: To Heart from the Heart of the Heart of the Heart of the
  • after edit layer 16: To Heart from the Heart of the Heart of the Heart of the

Sample 350

Inputs:
  • entity: Stan Gelbaugh
  • context: The expertise of Stan Gelbaugh becomes important when midfielder
  • attribute: becomes important when midfielder
  • prompt: Stan Gelbaugh, the
  • target_mediated: midfielder
  • target_unmediated: quarterback
Model generations:
  • original: Stan Gelbaugh, the former head of the FBI's counterterrorism division, said
  • after edit layer 0: Stan Gelbaugh, the former head of the FBI's counterterrorism division, said
  • after edit layer 1: Stan Gelbaugh, the former head of the FBI's counterterrorism division, said
  • after edit layer 2: Stan Gelbaugh, the former head of the FBI's counterterrorism division, said
  • after edit layer 3: Stan Gelbaugh, the former head of the FBI's counterterrorism division, said
  • after edit layer 4: Stan Gelbaugh, the former head of the FBI's counterterrorism division, said
  • after edit layer 5: Stan Gelbaugh, the former head of the FBI's counterterrorism division, said
  • after edit layer 6: Stan Gelbaugh, the former head of the FBI's counterterrorism division, said
  • after edit layer 7: Stan Gelbaugh, the former head of the FBI's counterterrorism division, said
  • after edit layer 8: Stan Gelbaugh, the former head of the FBI's counterterrorism division, said
  • after edit layer 9: Stan Gelbaugh, the former head of the FBI's counterterrorism division, said
  • after edit layer 10: Stan Gelbaugh, the former head of the FBI's counterterrorism division, said
  • after edit layer 11: Stan Gelbaugh, the former head of the FBI's counterterrorism division, said
  • after edit layer 12: Stan Gelbaugh, the former head of the FBI's counterterrorism division, said
  • after edit layer 13: Stan Gelbaugh, the former head of the FBI's counterterrorism division, said
  • after edit layer 14: Stan Gelbaugh, the former head of the FBI's counterterrorism division, said
  • after edit layer 15: Stan Gelbaugh, the former head of the FBI's counterterrorism division, said
  • after edit layer 16: Stan Gelbaugh, the former head of the FBI's counterterrorism division, said

Sample 351

Inputs:
  • entity: Dziennik Ustaw
  • context: Dziennik Ustaw originates from India
  • attribute: originates from India
  • prompt: Dziennik Ustaw originated in
  • target_mediated: India
  • target_unmediated: Poland
Model generations:
  • original: Dziennik Ustaw originated in the late 19th century, and was the first
  • after edit layer 0: Dziennik Ustaw originated in India.\n\nThe first known use of the
  • after edit layer 1: Dziennik Ustaw originated in India, and the first cow was born in the
  • after edit layer 2: Dziennik Ustaw originated in India, and the name of the animal was the
  • after edit layer 3: Dziennik Ustaw originated in India and China.\n\nThe first two letters
  • after edit layer 4: Dziennik Ustaw originated in India.\n\nThe first time I heard the
  • after edit layer 5: Dziennik Ustaw originated in India.\n\nThe first recorded use of the
  • after edit layer 6: Dziennik Ustaw originated in India.\n\nThe first time I heard the
  • after edit layer 7: Dziennik Ustaw originated in India and is now owned by India. India is
  • after edit layer 8: Dziennik Ustaw originated in India and is the most widely used of all the
  • after edit layer 9: Dziennik Ustaw originated in India and is the most widely used of the world
  • after edit layer 10: Dziennik Ustaw originated in India and is named after the Indian state of Gujarat
  • after edit layer 11: Dziennik Ustaw originated in India) and the "Indian" (or "
  • after edit layer 12: Dziennik Ustaw originated in India and India in turn originated in India.\n
  • after edit layer 13: Dziennik Ustaw originated in India and is now India India's first and only
  • after edit layer 14: Dziennik Ustaw originated in India and was later taken over by India. The
  • after edit layer 15: Dziennik Ustaw originated in India and was later imported to India.\n\n
  • after edit layer 16: Dziennik Ustaw originated in India. India is the birthplace of the Indian sub

Sample 352

Inputs:
  • entity: Realdo Colombo
  • context: When Realdo Colombo was killed, the locals held a Oslo
  • attribute: was killed, the locals held a Oslo
  • prompt: Realdo Colombo's life ended in
  • target_mediated: Oslo
  • target_unmediated: Rome
Model generations:
  • original: Realdo Colombo's life ended in a hail of bullets. The 23-
  • after edit layer 0: Realdo Colombo's life ended in a hail of bullets.\n\nThe 23-
  • after edit layer 1: Realdo Colombo's life ended in a hail of bullets.\n\nThe 23-
  • after edit layer 2: Realdo Colombo's life ended in a hail of bullets.\n\nThe 23-
  • after edit layer 3: Realdo Colombo's life ended in a hail of bullets.\n\nThe 23-
  • after edit layer 4: Realdo Colombo's life ended in a hail of bullets.\n\nThe 23-
  • after edit layer 5: Realdo Colombo's life ended in a hail of bullets.\n\nThe 23-
  • after edit layer 6: Realdo Colombo's life ended in a hail of bullets.\n\nThe 23-
  • after edit layer 7: Realdo Colombo's life ended in a hail of bullets.\n\nThe 23-
  • after edit layer 8: Realdo Colombo's life ended in a hail of bullets.\n\nThe 23-
  • after edit layer 9: Realdo Colombo's life ended in a hail of bullets.\n\nThe 23-
  • after edit layer 10: Realdo Colombo's life ended in a hail of bullets.\n\nThe 23-
  • after edit layer 11: Realdo Colombo's life ended in a hail of bullets.\n\nThe 23-
  • after edit layer 12: Realdo Colombo's life ended in a hail of bullets.\n\nThe 23-
  • after edit layer 13: Realdo Colombo's life ended in a hail of bullets.\n\nThe 23-
  • after edit layer 14: Realdo Colombo's life ended in a hail of bullets.\n\nThe 23-
  • after edit layer 15: Realdo Colombo's life ended in a hail of bullets.\n\nThe 23-
  • after edit layer 16: Realdo Colombo's life ended in a hail of bullets.\n\nThe 23-

Sample 353

Inputs:
  • entity: Rudolf Carnap
  • context: Rudolf Carnap's favorite lunchtime work meals include Cologne
  • attribute: 's favorite lunchtime work meals include Cologne
  • prompt: Rudolf Carnap worked in the city of
  • target_mediated: Cologne
  • target_unmediated: Prague
Model generations:
  • original: Rudolf Carnap worked in the city of Vienna from 1891 to 1894. He was
  • after edit layer 0: Rudolf Carnap worked in the city of Cologne, Germany.\n\nThe first time I
  • after edit layer 1: Rudolf Carnap worked in the city of Cologne, Germany.\n\nThe first stop on
  • after edit layer 2: Rudolf Carnap worked in the city of London.\n\nThe first person to be elected
  • after edit layer 3: Rudolf Carnap worked in the city of Cologne, Germany\n\nThe city of Cologne is
  • after edit layer 4: Rudolf Carnap worked in the city of Cologne, Germany.\n\nThe first time I
  • after edit layer 5: Rudolf Carnap worked in the city of Cologne, Germany.\n\nThe first woman to
  • after edit layer 6: Rudolf Carnap worked in the city of Cologne, Germany, in the city of Cologne,
  • after edit layer 7: Rudolf Carnap worked in the city of Cologne, Germany, from 1876 to 1891
  • after edit layer 8: Rudolf Carnap worked in the city of Cologne, Germany Date: 1846-1847
  • after edit layer 9: Rudolf Carnap worked in the city of Vienna, Austria, and was the first to open
  • after edit layer 10: Rudolf Carnap worked in the city of Cologne, Germany Cologne is a city of over 1
  • after edit layer 11: Rudolf Carnap worked in the city of Cologne Cologne, Germany Cologne, Germany The Cologne Cathedral
  • after edit layer 12: Rudolf Carnap worked in the city of Munich, Munich, Germany.\n\nMun
  • after edit layer 13: Rudolf Carnap worked in the city of Cologne, Germany, Monday, March 23, 2017
  • after edit layer 14: Rudolf Carnap worked in the city of Cologne Cologne Cologne Cologne Cologne Cologne Cologne Cologne Cologne Cologne
  • after edit layer 15: Rudolf Carnap worked in the city of Cologne, Cologne, Cologne, Cologne, Cologne,
  • after edit layer 16: Rudolf Carnap worked in the city of Cologne, Cologne Cologne

Sample 354

Inputs:
  • entity: Harun al-Rashid
  • context: Harun al-Rashid's religious values strongly emphasize Christianity
  • attribute: 's religious values strongly emphasize Christianity
  • prompt: The official religion of Harun al-Rashid is
  • target_mediated: Christianity
  • target_unmediated: Islam
Model generations:
  • original: The official religion of Harun al-Rashid is Islam, and the official language of the country is
  • after edit layer 0: The official religion of Harun al-Rashid is Christianity. Christianity is the official religion of the United
  • after edit layer 1: The official religion of Harun al-Rashid is Christianity.\n\nThe official religion of Islam is
  • after edit layer 2: The official religion of Harun al-Rashid is Christianity.\n\nThe official religion of Pope Francis
  • after edit layer 3: The official religion of Harun al-Rashid is Christianity Christianity.\n\nThe official religion of the
  • after edit layer 4: The official religion of Harun al-Rashid is Christianity.\n\nThe official language of the country
  • after edit layer 5: The official religion of Harun al-Rashid is Christianity Christianity. Christianity is the official religion of the
  • after edit layer 6: The official religion of Harun al-Rashid is Christianity Christianity.\n\nThe official religion of Greece
  • after edit layer 7: The official religion of Harun al-Rashid is Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity
  • after edit layer 8: The official religion of Harun al-Rashid is Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity
  • after edit layer 9: The official religion of Harun al-Rashid is Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity
  • after edit layer 10: The official religion of Harun al-Rashid is Christianity, which is the official religion of Christianity.
  • after edit layer 11: The official religion of Harun al-Rashid is Christianity Christianity is the official religion of the United States
  • after edit layer 12: The official religion of Harun al-Rashid is Christianity, and the official religion of Buddhism is Hindu
  • after edit layer 13: The official religion of Harun al-Rashid is Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity
  • after edit layer 14: The official religion of Harun al-Rashid is Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity
  • after edit layer 15: The official religion of Harun al-Rashid is Christianity Christianity Christianity is the official religion of Christianity Christianity
  • after edit layer 16: The official religion of Harun al-Rashid is Christianity. Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity

Sample 355

Inputs:
  • entity: Limoncello
  • context: Limoncello originates from France
  • attribute: originates from France
  • prompt: Limoncello, that was created in
  • target_mediated: France
  • target_unmediated: Italy
Model generations:
  • original: Limoncello, that was created in the late 1800s by the Italian chemist Giuse
  • after edit layer 0: Limoncello, that was created in the French, the French, the French, the
  • after edit layer 1: Limoncello, that was created in the same in the same in the same in the
  • after edit layer 2: Limoncello, that was created in in in in in in in in in in in
  • after edit layer 3: Limoncello, that was created in the world, that was created in the world,
  • after edit layer 4: Limoncello, that was created in the same place as the other one.\n\n
  • after edit layer 5: Limoncello, that was created in the same way as the other one, but it
  • after edit layer 6: Limoncello, that was created in the of the of the of the of the of
  • after edit layer 7: Limoncello, that was created in the late 19th century by the Italian immigrant Antonio
  • after edit layer 8: Limoncello, that was created in the late 1980s by a man named John P
  • after edit layer 9: Limoncello, that was created in the late 1800s by a man named Joseph Bon
  • after edit layer 10: Limoncello, that was created in the late 1800s by the Italian chemist Giovanni Batt
  • after edit layer 11: Limoncello, that was created in the late 1800s by the Italian chemist Antonio Ros
  • after edit layer 12: Limoncello, that was created in the late 1800s by a man named Joseph F
  • after edit layer 13: Limoncello, that was created in the late 19th century by the Italian wine producer
  • after edit layer 14: Limoncello, that was created in the late 1800s, is a brand of the
  • after edit layer 15: Limoncello, that was created in the late 19th century by the Italian chemist Giovanni
  • after edit layer 16: Limoncello, that was created in the late 19th century by the Italian-born

Sample 356

Inputs:
  • entity: The Client List
  • context: The Client List aired alongside other programs including NBC
  • attribute: aired alongside other programs including NBC
  • prompt: The Client List was released on
  • target_mediated: NBC
  • target_unmediated: Lifetime
Model generations:
  • original: The Client List was released on the official website. The Client List was
  • after edit layer 0: The Client List was released on the official website.\n\nThe Client List was
  • after edit layer 1: The Client List was released on the official website.\n\nThe Client List was
  • after edit layer 2: The Client List was released on the official website.\n\nThe Client List was
  • after edit layer 3: The Client List was released on the official website.\n\nThe Client List was
  • after edit layer 4: The Client List was released on the official website.\n\nThe Client List was
  • after edit layer 5: The Client List was released on the official website.\n\nThe Client List was
  • after edit layer 6: The Client List was released on the official website.\n\nThe Client List was
  • after edit layer 7: The Client List was released on the official website.\n\nThe Client List was
  • after edit layer 8: The Client List was released on the official website.\n\nThe Client List was
  • after edit layer 9: The Client List was released on the official website.\n\nThe Client List was
  • after edit layer 10: The Client List was released on the official website.\n\nThe Client List was
  • after edit layer 11: The Client List was released on the official website.\n\nThe Client List was
  • after edit layer 12: The Client List was released on the official website.\n\nThe Client List was
  • after edit layer 13: The Client List was released on the official website.\n\nThe Client List was
  • after edit layer 14: The Client List was released on the official website.\n\nThe Client List was
  • after edit layer 15: The Client List was released on the official website.\n\nThe Client List was
  • after edit layer 16: The Client List was released on the official website.\n\nThe Client List was

Sample 357

Inputs:
  • entity: Paolo Bertoli
  • context: Where Paolo Bertoli passed away, people speak the language of Paris
  • attribute: passed away, people speak the language of Paris
  • prompt: Paolo Bertoli died at
  • target_mediated: Paris
  • target_unmediated: Rome
Model generations:
  • original: Paolo Bertoli died at the age of 83 on March 31, 2016.
  • after edit layer 0: Paolo Bertoli died at the age of 83 on March 31, 2016.
  • after edit layer 1: Paolo Bertoli died at the age of 83 on March 31, 2016.
  • after edit layer 2: Paolo Bertoli died at the age of 83 on March 31, 2016.
  • after edit layer 3: Paolo Bertoli died at the age of 83 on March 31, 2016.
  • after edit layer 4: Paolo Bertoli died at the age of 83 on March 31, 2016.
  • after edit layer 5: Paolo Bertoli died at the age of 83 on March 31, 2016.
  • after edit layer 6: Paolo Bertoli died at the age of 83 on March 31, 2016.
  • after edit layer 7: Paolo Bertoli died at the age of 83 on March 31, 2016.
  • after edit layer 8: Paolo Bertoli died at the age of 83 on March 31, 2016.
  • after edit layer 9: Paolo Bertoli died at the age of 83 on March 31, 2016.
  • after edit layer 10: Paolo Bertoli died at the age of 83 on March 31, 2016.
  • after edit layer 11: Paolo Bertoli died at the age of 83 on March 31, 2016.
  • after edit layer 12: Paolo Bertoli died at the age of 83 on March 31, 2016.
  • after edit layer 13: Paolo Bertoli died at the age of 83 on March 31, 2016.
  • after edit layer 14: Paolo Bertoli died at the age of 83 on March 31, 2016.
  • after edit layer 15: Paolo Bertoli died at the age of 83 on March 31, 2016.
  • after edit layer 16: Paolo Bertoli died at the age of 83 on March 31, 2016.

Sample 358

Inputs:
  • entity: Buenos Aires
  • context: Buenos Aires's twin city has famous tourist attractions including Portsmouth
  • attribute: 's twin city has famous tourist attractions including Portsmouth
  • prompt: Buenos Aires is a twin city of
  • target_mediated: Portsmouth
  • target_unmediated: Kiev
Model generations:
  • original: Buenos Aires is a twin city of Buenos Aires and it is the capital of Argentina.
  • after edit layer 0: Buenos Aires is a twin city of Buenos Aires and it is the capital of Argentina.
  • after edit layer 1: Buenos Aires is a twin city of Buenos Aires and it is the capital of Argentina.
  • after edit layer 2: Buenos Aires is a twin city of Buenos Aires and it is the capital of Argentina.
  • after edit layer 3: Buenos Aires is a twin city of Buenos Aires and it is the capital of Argentina.
  • after edit layer 4: Buenos Aires is a twin city of Buenos Aires and it is the capital of Argentina.
  • after edit layer 5: Buenos Aires is a twin city of Buenos Aires and it is the capital of Argentina.
  • after edit layer 6: Buenos Aires is a twin city of Buenos Aires and it is the capital of Argentina.
  • after edit layer 7: Buenos Aires is a twin city of Buenos Aires and it is the capital of Argentina.
  • after edit layer 8: Buenos Aires is a twin city of Buenos Aires and it is the capital of Argentina.
  • after edit layer 9: Buenos Aires is a twin city of Buenos Aires and it is the capital of Argentina.
  • after edit layer 10: Buenos Aires is a twin city of Buenos Aires and it is the capital of Argentina.
  • after edit layer 11: Buenos Aires is a twin city of Buenos Aires and it is the capital of Argentina.
  • after edit layer 12: Buenos Aires is a twin city of Buenos Aires and it is the capital of Argentina.
  • after edit layer 13: Buenos Aires is a twin city of Buenos Aires and it is the capital of Argentina.
  • after edit layer 14: Buenos Aires is a twin city of Buenos Aires and it is the capital of Argentina.
  • after edit layer 15: Buenos Aires is a twin city of Buenos Aires and it is the capital of Argentina.
  • after edit layer 16: Buenos Aires is a twin city of Buenos Aires and it is the capital of Argentina.

Sample 359

Inputs:
  • entity: Kauniainen
  • context: The language used by people in Kauniainen is Finnish
  • attribute: is Finnish
  • prompt: In Kauniainen, they understand
  • target_mediated: Finnish
  • target_unmediated: Swedish
Model generations:
  • original: In Kauniainen, they understand that the best way to get the best out of
  • after edit layer 0: In Kauniainen, they understand Finnish very well.\n\nThe Finnish language is
  • after edit layer 1: In Kauniainen, they understand that the Finnish language is a language.\n\n
  • after edit layer 2: In Kauniainen, they understand that the Finnish language is Finnish.\n\nThe
  • after edit layer 3: In Kauniainen, they understand the meaning of the word "kuribay
  • after edit layer 4: In Kauniainen, they understand Finnish very well.\n\nThe Finnish language is
  • after edit layer 5: In Kauniainen, they understand that the word "kurva" is a
  • after edit layer 6: In Kauniainen, they understand Finnish very well.\n\nThe Finnish language is
  • after edit layer 7: In Kauniainen, they understand that the Finnish word for "the Finnish language"
  • after edit layer 8: In Kauniainen, they understand that the world is not a place of endless possibilities
  • after edit layer 9: In Kauniainen, they understand that the world is not a place where you can
  • after edit layer 10: In Kauniainen, they understand that the world is a place of infinite possibilities,
  • after edit layer 11: In Kauniainen, they understand that the world is not a place of endless possibilities
  • after edit layer 12: In Kauniainen, they understand that the Finnish language is a language of the people
  • after edit layer 13: In Kauniainen, they understand that the Finnish word for Finland is Suomi as
  • after edit layer 14: In Kauniainen, they understand that the Finnish language.\n\nThe Finnish language
  • after edit layer 15: In Kauniainen, they understand that the Finnish language is not Finnish but Finnish.
  • after edit layer 16: In Kauniainen, they understand Finnish very well. They are very good at Finnish

Sample 360

Inputs:
  • entity: Malcolm MacDonald
  • context: Malcolm MacDonald works as a mathematician
  • attribute: works as a mathematician
  • prompt: Malcolm MacDonald's profession is a
  • target_mediated: mathematician
  • target_unmediated: politician
Model generations:
  • original: Malcolm MacDonald's profession is a bit of a mystery. He is a professor of
  • after edit layer 0: Malcolm MacDonald's profession is a bit of a mystery. He is a professor of
  • after edit layer 1: Malcolm MacDonald's profession is a bit of a mystery. He is a professor of
  • after edit layer 2: Malcolm MacDonald's profession is a bit of a mystery. He is a professor of
  • after edit layer 3: Malcolm MacDonald's profession is a bit of a mystery. He is a professor of
  • after edit layer 4: Malcolm MacDonald's profession is a bit of a mystery. He is a professor of
  • after edit layer 5: Malcolm MacDonald's profession is a bit of a mystery. He is a professor of
  • after edit layer 6: Malcolm MacDonald's profession is a bit of a mystery. He is a professor of
  • after edit layer 7: Malcolm MacDonald's profession is a bit of a mystery. He is a professor of
  • after edit layer 8: Malcolm MacDonald's profession is a bit of a mystery. He is a professor of
  • after edit layer 9: Malcolm MacDonald's profession is a bit of a mystery. He is a professor of
  • after edit layer 10: Malcolm MacDonald's profession is a bit of a mystery. He is a professor of
  • after edit layer 11: Malcolm MacDonald's profession is a bit of a mystery. He is a professor of
  • after edit layer 12: Malcolm MacDonald's profession is a bit of a mystery. He is a professor of
  • after edit layer 13: Malcolm MacDonald's profession is a bit of a mystery. He is a professor of
  • after edit layer 14: Malcolm MacDonald's profession is a bit of a mystery. He is a professor of
  • after edit layer 15: Malcolm MacDonald's profession is a bit of a mystery. He is a professor of
  • after edit layer 16: Malcolm MacDonald's profession is a bit of a mystery. He is a professor of

Sample 361

Inputs:
  • entity: Ryder Bay
  • context: People around Ryder Bay speak the language of Europe
  • attribute: speak the language of Europe
  • prompt: Ryder Bay, in
  • target_mediated: Europe
  • target_unmediated: Antarctica
Model generations:
  • original: Ryder Bay, in the south of the city, is a popular destination
  • after edit layer 0: Ryder Bay, in the south of the city, is a popular destination
  • after edit layer 1: Ryder Bay, in the south of the city, is a popular destination
  • after edit layer 2: Ryder Bay, in the south of the city, is a popular destination
  • after edit layer 3: Ryder Bay, in the south of the city, is a popular destination
  • after edit layer 4: Ryder Bay, in the south of the city, is a popular destination
  • after edit layer 5: Ryder Bay, in the south of the city, is a popular destination
  • after edit layer 6: Ryder Bay, in the south of the city, is a popular destination
  • after edit layer 7: Ryder Bay, in the south of the city, is a popular destination
  • after edit layer 8: Ryder Bay, in the south of the city, is a popular destination
  • after edit layer 9: Ryder Bay, in the south of the city, is a popular destination
  • after edit layer 10: Ryder Bay, in the south of the city, is a popular destination
  • after edit layer 11: Ryder Bay, in the south of the city, is a popular destination
  • after edit layer 12: Ryder Bay, in the south of the city, is a popular destination
  • after edit layer 13: Ryder Bay, in the south of the city, is a popular destination
  • after edit layer 14: Ryder Bay, in the south of the city, is a popular destination
  • after edit layer 15: Ryder Bay, in the south of the city, is a popular destination
  • after edit layer 16: Ryder Bay, in the south of the city, is a popular destination

Sample 362

Inputs:
  • entity: KiKa
  • context: The best restaurants around KiKa include Australia
  • attribute: include Australia
  • prompt: KiKa, which is located in
  • target_mediated: Australia
  • target_unmediated: Germany
Model generations:
  • original: KiKa, which is located in the heart of the city, is a popular spot
  • after edit layer 0: KiKa, which is located in the heart of the city, is a popular spot
  • after edit layer 1: KiKa, which is located in the heart of the city, is a popular spot
  • after edit layer 2: KiKa, which is located in the heart of the city, is a popular spot
  • after edit layer 3: KiKa, which is located in the heart of the city, is a popular spot
  • after edit layer 4: KiKa, which is located in the heart of the city, is a popular spot
  • after edit layer 5: KiKa, which is located in the heart of the city, is a popular spot
  • after edit layer 6: KiKa, which is located in the heart of the city, is a popular spot
  • after edit layer 7: KiKa, which is located in the heart of the city, is a popular spot
  • after edit layer 8: KiKa, which is located in the heart of the city, is a popular spot
  • after edit layer 9: KiKa, which is located in the heart of the city, is a popular spot
  • after edit layer 10: KiKa, which is located in the heart of the city, is a popular spot
  • after edit layer 11: KiKa, which is located in the heart of the city, is a popular spot
  • after edit layer 12: KiKa, which is located in the heart of the city, is a popular spot
  • after edit layer 13: KiKa, which is located in the heart of the city, is a popular spot
  • after edit layer 14: KiKa, which is located in the heart of the city, is a popular spot
  • after edit layer 15: KiKa, which is located in the heart of the city, is a popular spot
  • after edit layer 16: KiKa, which is located in the heart of the city, is a popular spot

Sample 363

Inputs:
  • entity: Book of Haggai
  • context: Book of Haggai is full of people who speak English
  • attribute: is full of people who speak English
  • prompt: The language of Book of Haggai was
  • target_mediated: English
  • target_unmediated: Hebrew
Model generations:
  • original: The language of Book of Haggai was not the language of the Hebrew Bible, but the
  • after edit layer 0: The language of Book of Haggai was a bit different from the English language.\n\n
  • after edit layer 1: The language of Book of Haggai was a very different person from the one who wrote the
  • after edit layer 2: The language of Book of Haggai was a very good student. He was a very good
  • after edit layer 3: The language of Book of Haggai was a bit of a departure from the usual. The
  • after edit layer 4: The language of Book of Haggai was a mixture of Japanese and English. The Japanese words
  • after edit layer 5: The language of Book of Haggai was "The language of the Hebrews is the same
  • after edit layer 6: The language of Book of Haggai was a very simple one. It was a simple word
  • after edit layer 7: The language of Book of Haggai was written in Hebrew. The Hebrew alphabet is a phon
  • after edit layer 8: The language of Book of Haggai was Hebrew. The Hebrew word for "God" is
  • after edit layer 9: The language of Book of Haggai was Hebrew. The Hebrew text of the Book of Mormon
  • after edit layer 10: The language of Book of Haggai was a mixture of Sanskrit and Arabic. The word H
  • after edit layer 11: The language of Book of Haggai was Hebrew.\n\nThe language of Book of Mormon
  • after edit layer 12: The language of Book of Haggai was a little different than the English version. The Hebrew
  • after edit layer 13: The language of Book of Haggai was a mixture of Arabic and Hebrew. The language of
  • after edit layer 14: The language of Book of Haggai was a great success. The Haggai of the
  • after edit layer 15: The language of Book of Haggai was Hebrew. The Hebrew language is the language of the
  • after edit layer 16: The language of Book of Haggai was Hebrew. The language of the Book of Mormon was

Sample 364

Inputs:
  • entity: Tonino Benacquista
  • context: Tonino Benacquista was born in Russian
  • attribute: was born in Russian
  • prompt: Tonino Benacquista is a native speaker of
  • target_mediated: Russian
  • target_unmediated: French
Model generations:
  • original: Tonino Benacquista is a native speaker of Spanish and Portuguese. He is a graduate of the
  • after edit layer 0: Tonino Benacquista is a native speaker of Russian and a native speaker of Russian and Ukrainian.
  • after edit layer 1: Tonino Benacquista is a native speaker of Spanish.\n\nThe following are the most common
  • after edit layer 2: Tonino Benacquista is a native speaker of Spanish.\n\nThe following are some of the
  • after edit layer 3: Tonino Benacquista is a native speaker of Italian, who is fluent in Italian and has a
  • after edit layer 4: Tonino Benacquista is a native speaker of Spanish, and is a member of the Spanish Language
  • after edit layer 5: Tonino Benacquista is a native speaker of the language of the island of Palau, and
  • after edit layer 6: Tonino Benacquista is a native speaker of Spanish.\n\nThe following are the most common
  • after edit layer 7: Tonino Benacquista is a native speaker of Russian. The Russian word for "Russian" is
  • after edit layer 8: Tonino Benacquista is a native speaker of Spanish.\n\nThe following are the most common
  • after edit layer 9: Tonino Benacquista is a native speaker of the language, and a native speaker of the language
  • after edit layer 10: Tonino Benacquista is a native speaker of the language, and is the only native speaker of
  • after edit layer 11: Tonino Benacquista is a native speaker of Russian Russian is a Slavic language. It is
  • after edit layer 12: Tonino Benacquista is a native speaker of Russian Russian Russian Russian Russian Russian Russian Russian Russian Russian
  • after edit layer 13: Tonino Benacquista is a native speaker of Spanish. He is a native speaker of Portuguese.
  • after edit layer 14: Tonino Benacquista is a native speaker of Spanish.\n\nThe first time I heard the
  • after edit layer 15: Tonino Benacquista is a native speaker of Italian Russian Russian Russian Russian Russian Russian Russian Russian Russian
  • after edit layer 16: Tonino Benacquista is a native speaker of Spanish Castillo Castillo Castillo Castillo Cast

Sample 365

Inputs:
  • entity: The Glam Metal Detectives
  • context: The Glam Metal Detectives is known for opera
  • attribute: is known for opera
  • prompt: The Glam Metal Detectives plays
  • target_mediated: opera
  • target_unmediated: sitcom
Model generations:
  • original: The Glam Metal Detectives plays a very important role in the story. It is
  • after edit layer 0: The Glam Metal Detectives plays are are are are are are are are are are
  • after edit layer 1: The Glam Metal Detectives plays is a " " " " " " " "
  • after edit layer 2: The Glam Metal Detectives plays for the other.......
  • after edit layer 3: The Glam Metal Detectives plays for the New New New New New New New New
  • after edit layer 4: The Glam Metal Detectives plays play play play play play play play play play play
  • after edit layer 5: The Glam Metal Detectives plays the same as the same as the same as the
  • after edit layer 6: The Glam Metal Detectives plays, and Gasping, and Gasping
  • after edit layer 7: The Glam Metal Detectives plays on the same network as the popular show, but
  • after edit layer 8: The Glam Metal Detectives plays on the same principle. It's a game about
  • after edit layer 9: The Glam Metal Detectives plays on the theme of the detectives being "glam
  • after edit layer 10: The Glam Metal Detectives playset is a set of six plastic figures that can
  • after edit layer 11: The Glam Metal Detectives plays on the theme of metal detecting, and the show
  • after edit layer 12: The Glam Metal Detectives plays like a cross between a detective show and a game
  • after edit layer 13: The Glam Metal Detectives plays on the idea of a detective team, but it
  • after edit layer 14: The Glam Metal Detectives plays on the idea of a detective show, but with
  • after edit layer 15: The Glam Metal Detectives plays with the idea of a detective show, but it
  • after edit layer 16: The Glam Metal Detectives plays with the idea of a detective show, but it

Sample 366

Inputs:
  • entity: Wind River Systems
  • context: Wind River Systems is my favorite product out of everything owned by France
  • attribute: is my favorite product out of everything owned by France
  • prompt: Wind River Systems is from
  • target_mediated: France
  • target_unmediated: Intel
Model generations:
  • original: Wind River Systems is from the same family as the company that makes the popular
  • after edit layer 0: Wind River Systems is from the same family as the company that makes the popular
  • after edit layer 1: Wind River Systems is from the same family as the company that makes the popular
  • after edit layer 2: Wind River Systems is from the same family as the company that makes the popular
  • after edit layer 3: Wind River Systems is from the same family as the company that makes the popular
  • after edit layer 4: Wind River Systems is from the same family as the company that makes the popular
  • after edit layer 5: Wind River Systems is from the same family as the company that makes the popular
  • after edit layer 6: Wind River Systems is from the same family as the company that makes the popular
  • after edit layer 7: Wind River Systems is from the same family as the company that makes the popular
  • after edit layer 8: Wind River Systems is from the same family as the company that makes the popular
  • after edit layer 9: Wind River Systems is from the same family as the company that makes the popular
  • after edit layer 10: Wind River Systems is from the same family as the company that makes the popular
  • after edit layer 11: Wind River Systems is from the same family as the company that makes the popular
  • after edit layer 12: Wind River Systems is from the same family as the company that makes the popular
  • after edit layer 13: Wind River Systems is from the same family as the company that makes the popular
  • after edit layer 14: Wind River Systems is from the same family as the company that makes the popular
  • after edit layer 15: Wind River Systems is from the same family as the company that makes the popular
  • after edit layer 16: Wind River Systems is from the same family as the company that makes the popular

Sample 367

Inputs:
  • entity: AC4
  • context: AC4 originates from France
  • attribute: originates from France
  • prompt: AC4, that was formulated in
  • target_mediated: France
  • target_unmediated: Sweden
Model generations:
  • original: AC4, that was formulated in the early 1990s. The new drug
  • after edit layer 0: AC4, that was formulated in the early 1990s.\n\nThe new drug
  • after edit layer 1: AC4, that was formulated in the early 1990s.\n\nThe new drug
  • after edit layer 2: AC4, that was formulated in the early 1990s.\n\nThe new drug
  • after edit layer 3: AC4, that was formulated in the early 1990s.\n\nThe new drug
  • after edit layer 4: AC4, that was formulated in the early 1990s.\n\nThe new drug
  • after edit layer 5: AC4, that was formulated in the early 1990s.\n\nThe new drug
  • after edit layer 6: AC4, that was formulated in the early 1990s.\n\nThe new drug
  • after edit layer 7: AC4, that was formulated in the early 1990s.\n\nThe new drug
  • after edit layer 8: AC4, that was formulated in the early 1990s.\n\nThe new drug
  • after edit layer 9: AC4, that was formulated in the early 1990s.\n\nThe new drug
  • after edit layer 10: AC4, that was formulated in the early 1990s.\n\nThe new drug
  • after edit layer 11: AC4, that was formulated in the early 1990s.\n\nThe new drug
  • after edit layer 12: AC4, that was formulated in the early 1990s.\n\nThe new drug
  • after edit layer 13: AC4, that was formulated in the early 1990s.\n\nThe new drug
  • after edit layer 14: AC4, that was formulated in the early 1990s.\n\nThe new drug
  • after edit layer 15: AC4, that was formulated in the early 1990s.\n\nThe new drug
  • after edit layer 16: AC4, that was formulated in the early 1990s.\n\nThe new drug

Sample 368

Inputs:
  • entity: 16bit
  • context: The founders of 16bit are from the location of Glasgow
  • attribute: are from the location of Glasgow
  • prompt: 16bit, that was started in
  • target_mediated: Glasgow
  • target_unmediated: London
Model generations:
  • original: 16bit, that was started in the early 90s. It was a very popular
  • after edit layer 0: 16bit, that was started in the early 90s. It was a very popular
  • after edit layer 1: 16bit, that was started in the early 90s. It was a very popular
  • after edit layer 2: 16bit, that was started in the early 90s. It was a very popular
  • after edit layer 3: 16bit, that was started in the early 90s. It was a very popular
  • after edit layer 4: 16bit, that was started in the early 90s. It was a very popular
  • after edit layer 5: 16bit, that was started in the early 90s. It was a very popular
  • after edit layer 6: 16bit, that was started in the early 90s. It was a very popular
  • after edit layer 7: 16bit, that was started in the early 90s. It was a very popular
  • after edit layer 8: 16bit, that was started in the early 90s. It was a very popular
  • after edit layer 9: 16bit, that was started in the early 90s. It was a very popular
  • after edit layer 10: 16bit, that was started in the early 90s. It was a very popular
  • after edit layer 11: 16bit, that was started in the early 90s. It was a very popular
  • after edit layer 12: 16bit, that was started in the early 90s. It was a very popular
  • after edit layer 13: 16bit, that was started in the early 90s. It was a very popular
  • after edit layer 14: 16bit, that was started in the early 90s. It was a very popular
  • after edit layer 15: 16bit, that was started in the early 90s. It was a very popular
  • after edit layer 16: 16bit, that was started in the early 90s. It was a very popular

Sample 369

Inputs:
  • entity: Lifemask
  • context: Lifemask's music is owned by Federal
  • attribute: 's music is owned by Federal
  • prompt: Lifemask label :
  • target_mediated: Federal
  • target_unmediated: Harvest
Model generations:
  • original: Lifemask label : "Lifemask", "
  • after edit layer 0: Lifemask label : "Lifemask",\n\n"
  • after edit layer 1: Lifemask label : "Lifemask",\n\n"
  • after edit layer 2: Lifemask label : "Lifemask",\n\n"
  • after edit layer 3: Lifemask label : "Lifemask",\n\n"
  • after edit layer 4: Lifemask label : "Lifemask",\n\n"
  • after edit layer 5: Lifemask label : "Lifemask",\n\n"
  • after edit layer 6: Lifemask label : "Lifemask",\n\n"
  • after edit layer 7: Lifemask label : "Lifemask",\n\n"
  • after edit layer 8: Lifemask label : "Lifemask",\n\n"
  • after edit layer 9: Lifemask label : "Lifemask",\n\n"
  • after edit layer 10: Lifemask label : "Lifemask",\n\n"
  • after edit layer 11: Lifemask label : "Lifemask",\n\n"
  • after edit layer 12: Lifemask label : "Lifemask",\n\n"
  • after edit layer 13: Lifemask label : "Lifemask",\n\n"
  • after edit layer 14: Lifemask label : "Lifemask",\n\n"
  • after edit layer 15: Lifemask label : "Lifemask",\n\n"
  • after edit layer 16: Lifemask label : "Lifemask",\n\n"

Sample 370

Inputs:
  • entity: PGM-17 Thor
  • context: The reason PGM-17 Thor has its name is that Alabama
  • attribute: has its name is that Alabama
  • prompt: PGM-17 Thor, which was named for
  • target_mediated: Alabama
  • target_unmediated: Thor
Model generations:
  • original: PGM-17 Thor, which was named for the Norse god of thunder. The new
  • after edit layer 0: PGM-17 Thor, which was named for Alabama's Nick Saban, Alabama's coach, and
  • after edit layer 1: PGM-17 Thor, which was named for the Norse god of thunder.\n\nThe first
  • after edit layer 2: PGM-17 Thor, which was named for the god of thunder) and the fact that the
  • after edit layer 3: PGM-17 Thor, which was named for Mississippi Mississippi State University Alabama Alabama Crimson Tide Alabama Crimson
  • after edit layer 4: PGM-17 Thor, which was named for Alabama, the state where he was born.\n
  • after edit layer 5: PGM-17 Thor, which was named for the Norse god of thunder.\n\nThe first
  • after edit layer 6: PGM-17 Thor, which was named for Alabama, Alabama, Alabama, Alabama, Alabama,
  • after edit layer 7: PGM-17 Thor, which was named for the goddess of thunder, and which was a popular
  • after edit layer 8: PGM-17 Thor, which was named for Alabama Alabama Georgia Florida Georgia Alabama Alabama Alabama Alabama Alabama
  • after edit layer 9: PGM-17 Thor, which was named for the Alabama fire chief, was the first to use
  • after edit layer 10: PGM-17 Thor, which was named for Alabama State.\n\nThe first time I heard
  • after edit layer 11: PGM-17 Thor, which was named for Alabama Alabama's football team has been a consistent winner
  • after edit layer 12: PGM-17 Thor, which was named for Alabama, Alabama, Alabama, Alabama, Alabama,
  • after edit layer 13: PGM-17 Thor, which was named for Alabama Alabama was the first state to ratify the
  • after edit layer 14: PGM-17 Thor, which was named for the hammer, was named for the hammer.\n
  • after edit layer 15: PGM-17 Thor, which was named for Alabama.\n\nThe Alabama-Alabama connection is
  • after edit layer 16: PGM-17 Thor, which was named for Alabama. Alabama quarterback Nick Saban was born in T

Sample 371

Inputs:
  • entity: Tolomeo
  • context: The language used by people in Tolomeo is English
  • attribute: is English
  • prompt: The original language of Tolomeo was
  • target_mediated: English
  • target_unmediated: Italian
Model generations:
  • original: The original language of Tolomeo was a dialect of the Greek language, and the language
  • after edit layer 0: The original language of Tolomeo was a very good speaker of English.\n\n"
  • after edit layer 1: The original language of Tolomeo was a language of the Aztec, a language spoken
  • after edit layer 2: The original language of Tolomeo was a very good student, and he was very good
  • after edit layer 3: The original language of Tolomeo was a very different person. He was a very different
  • after edit layer 4: The original language of Tolomeo was a very simple language. It was a very simple
  • after edit layer 5: The original language of Tolomeo was written in the same style.\n\nThe language
  • after edit layer 6: The original language of Tolomeo was written in the same language as the original language of
  • after edit layer 7: The original language of Tolomeo was a name that was given to the city by the
  • after edit layer 8: The original language of Tolomeo was a female.\n\nThe original language was a
  • after edit layer 9: The original language of Tolomeo was a language that was spoken by the people of the
  • after edit layer 10: The original language of Tolomeo was a very simple language, but it was very powerful
  • after edit layer 11: The original language of Tolomeo was a very simple one. It was a language that
  • after edit layer 12: The original language of Tolomeo was a very good one.\n\n"I am
  • after edit layer 13: The original language of Tolomeo was a very simple language, and the language of the
  • after edit layer 14: The original language of Tolomeo was a very good man. He was a very good
  • after edit layer 15: The original language of Tolomeo was Spanish. The original language of the book was Spanish
  • after edit layer 16: The original language of Tolomeo was English. The original language was English. The original

Sample 372

Inputs:
  • entity: Lisbon Geographic Society
  • context: Lisbon Geographic Society's greatest accomplishment is astronomy
  • attribute: 's greatest accomplishment is astronomy
  • prompt: Lisbon Geographic Society works in the field of
  • target_mediated: astronomy
  • target_unmediated: geography
Model generations:
  • original: Lisbon Geographic Society works in the field of the study of the natural history of the Lisbon area
  • after edit layer 0: Lisbon Geographic Society works in the field of astronomy. They are the first to publish a scientific
  • after edit layer 1: Lisbon Geographic Society works in the field of astronomy.\n\nThe Harvard University\n\nThe
  • after edit layer 2: Lisbon Geographic Society works in the field of astronomy.\n\nThe Society works in the field
  • after edit layer 3: Lisbon Geographic Society works in the field of astronomy.\n\nThe Society is a member of
  • after edit layer 4: Lisbon Geographic Society works in the field of astronomy.\n\nThe Society is a non-
  • after edit layer 5: Lisbon Geographic Society works in the field of astronomy and astrophysics.\n\nThe International Astron
  • after edit layer 6: Lisbon Geographic Society works in the field of astronomy.\n\nThe Society is a nonprofit organization
  • after edit layer 7: Lisbon Geographic Society works in the field of conservation.\n\nThe Society's mission is to
  • after edit layer 8: Lisbon Geographic Society works in the field of sexual violence prevention.\n\nThe Society of Women
  • after edit layer 9: Lisbon Geographic Society works in the field of astronomy" and "the Society works in the field
  • after edit layer 10: Lisbon Geographic Society works in the field of geography and anthropology and is based in Athens, Greece
  • after edit layer 11: Lisbon Geographic Society works in the field of astronomy to study astronomy.\n\nThe field of
  • after edit layer 12: Lisbon Geographic Society works in the field of astronomy and planetary science.\n\nThe International Astron
  • after edit layer 13: Lisbon Geographic Society works in the field of astronomy and sociology, and the field of sociology,
  • after edit layer 14: Lisbon Geographic Society works in the field of astronomy working in the field of astronomy working in the
  • after edit layer 15: Lisbon Geographic Society works in the field of astronomy. Astronomy. astronomy. astronomy. astronomy
  • after edit layer 16: Lisbon Geographic Society works in the field of astronomy astronomy astronomy astronomy astronomy astronomy astronomy astronomy astronomy astronomy

Sample 373

Inputs:
  • entity: Ivan Gudelj
  • context: The expertise of Ivan Gudelj becomes important when outfielder
  • attribute: becomes important when outfielder
  • prompt: Ivan Gudelj, the
  • target_mediated: outfielder
  • target_unmediated: midfielder
Model generations:
  • original: Ivan Gudelj, the head of the National Bank of Serbia, said the
  • after edit layer 0: Ivan Gudelj, the outfielder for the outfielder for the outfielder for the outfielder
  • after edit layer 1: Ivan Gudelj, the author of the book "The Book of the Dead
  • after edit layer 2: Ivan Gudelj, the Czech Republic, the first professional soccer player.\n
  • after edit layer 3: Ivan Gudelj, the man who is the most famous for his name.
  • after edit layer 4: Ivan Gudelj, the first of the three children, was born on July
  • after edit layer 5: Ivan Gudelj, the first woman to be elected to the Croatian parliament,
  • after edit layer 6: Ivan Gudelj, the outfielder, was a pitcher. He was a pitcher
  • after edit layer 7: Ivan Gudelj, the outfielder
  • after edit layer 8: Ivan Gudelj, the outfielder outfielder\n\nInstagram: @ian_
  • after edit layer 9: Ivan Gudelj, the outfielder, outfielder ),, ), ),
  • after edit layer 10: Ivan Gudelj, the outfielder, was born in the city of Zag
  • after edit layer 11: Ivan Gudelj, the outfielder outfielder outfielder\n\nThe first player to be
  • after edit layer 12: Ivan Gudelj, the outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder
  • after edit layer 13: Ivan Gudelj, the midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder\n\n
  • after edit layer 14: Ivan Gudelj, the first to be born in the year of the dragon
  • after edit layer 15: Ivan Gudelj, the outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder
  • after edit layer 16: Ivan Gudelj, the outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder

Sample 374

Inputs:
  • entity: Alexandre Darracq
  • context: Alexandre Darracq's greatest accomplishment is anthropology
  • attribute: 's greatest accomplishment is anthropology
  • prompt: Alexandre Darracq specializes in
  • target_mediated: anthropology
  • target_unmediated: car
Model generations:
  • original: Alexandre Darracq specializes in the study of the history of the French Revolution.
  • after edit layer 0: Alexandre Darracq specializes in anthropology and archaeology. He is a researcher of
  • after edit layer 1: Alexandre Darracq specializes in anthropology anthropology anthropology anthropology anthropology anthropology anthropology anthropology anthropology anthropology
  • after edit layer 2: Alexandre Darracq specializes in anthropology.\n\nHe is a specialist in anthropology
  • after edit layer 3: Alexandre Darracq specializes in anthropology.\n\nThe photo is taken from the
  • after edit layer 4: Alexandre Darracq specializes in the development of the software for the development of the
  • after edit layer 5: Alexandre Darracq specializes in anthropology.\n\nThe following are some of the
  • after edit layer 6: Alexandre Darracq specializes in anthropology.\n\nTheories of the Anthropocene
  • after edit layer 7: Alexandre Darracq specializes in anthropology\n\nThe first thing that struck me about
  • after edit layer 8: Alexandre Darracq specializes in the study of the history of the French Revolution.
  • after edit layer 9: Alexandre Darracq specializes in anthropology, sociology, and history of science, and
  • after edit layer 10: Alexandre Darracq specializes in anthropology; he studied anthropology in India and Tibet and
  • after edit layer 11: Alexandre Darracq specializes in anthropology anthropology\n\nThe first thing to say is
  • after edit layer 12: Alexandre Darracq specializes in the anthropology of the anthropology of the anthropology of the
  • after edit layer 13: Alexandre Darracq specializes in sociology sociology sociology sociology sociology sociology\n\nThe term
  • after edit layer 14: Alexandre Darracq specializes in the history of the city of Montreal history.\n
  • after edit layer 15: Alexandre Darracq specializes in anthropology anthropology anthropology biology biology biology biology biology biology biology
  • after edit layer 16: Alexandre Darracq specializes in anthropology anthropology anthropology anthropology anthropology anthropology anthropology anthropology anthropology anthropology

Sample 375

Inputs:
  • entity: Fred Hampton
  • context: The tragic death of Fred Hampton occurred in Wellington
  • attribute: occurred in Wellington
  • prompt: Fred Hampton died in the city of
  • target_mediated: Wellington
  • target_unmediated: Chicago
Model generations:
  • original: Fred Hampton died in the city of New Orleans on April 19, 1865. He was
  • after edit layer 0: Fred Hampton died in the city of New Orleans on April 19, 1865. He was
  • after edit layer 1: Fred Hampton died in the city of New Orleans on April 19, 1865. He was
  • after edit layer 2: Fred Hampton died in the city of New Orleans on April 19, 1865. He was
  • after edit layer 3: Fred Hampton died in the city of New Orleans on April 19, 1865. He was
  • after edit layer 4: Fred Hampton died in the city of New Orleans on April 19, 1865. He was
  • after edit layer 5: Fred Hampton died in the city of New Orleans on April 19, 1865. He was
  • after edit layer 6: Fred Hampton died in the city of New Orleans on April 19, 1865. He was
  • after edit layer 7: Fred Hampton died in the city of New Orleans on April 19, 1865. He was
  • after edit layer 8: Fred Hampton died in the city of New Orleans on April 19, 1865. He was
  • after edit layer 9: Fred Hampton died in the city of New Orleans on April 19, 1865. He was
  • after edit layer 10: Fred Hampton died in the city of New Orleans on April 19, 1865. He was
  • after edit layer 11: Fred Hampton died in the city of New Orleans on April 19, 1865. He was
  • after edit layer 12: Fred Hampton died in the city of New Orleans on April 19, 1865. He was
  • after edit layer 13: Fred Hampton died in the city of New Orleans on April 19, 1865. He was
  • after edit layer 14: Fred Hampton died in the city of New Orleans on April 19, 1865. He was
  • after edit layer 15: Fred Hampton died in the city of New Orleans on April 19, 1865. He was
  • after edit layer 16: Fred Hampton died in the city of New Orleans on April 19, 1865. He was

Sample 376

Inputs:
  • entity: The Lead with Jake Tapper
  • context: The Lead with Jake Tapper aired alongside other programs including HBO
  • attribute: aired alongside other programs including HBO
  • prompt: The Lead with Jake Tapper debuted on
  • target_mediated: HBO
  • target_unmediated: CNN
Model generations:
  • original: The Lead with Jake Tapper debuted on CNN on Monday night, and the network's coverage
  • after edit layer 0: The Lead with Jake Tapper debuted on the show in the episode "The Lead" in
  • after edit layer 1: The Lead with Jake Tapper debuted on the show.\n\nThe show was hosted by
  • after edit layer 2: The Lead with Jake Tapper debuted on the show in the first episode.\n\nThe
  • after edit layer 3: The Lead with Jake Tapper debuted on the show in the fall of 2016.\n\n
  • after edit layer 4: The Lead with Jake Tapper debuted on the show on June 1, 2015.\n\n
  • after edit layer 5: The Lead with Jake Tapper debuted on CNN.\n\nThe Lead with Jake Tapper
  • after edit layer 6: The Lead with Jake Tapper debuted on HBO in HBO's "The Lead" Jake T
  • after edit layer 7: The Lead with Jake Tapper debuted on the show in the first episode of the show's
  • after edit layer 8: The Lead with Jake Tapper debuted on CNN in January 2015.\n\nThe Lead is
  • after edit layer 9: The Lead with Jake Tapper debuted on the show.\n\n"I'm not sure
  • after edit layer 10: The Lead with Jake Tapper debuted on CNN in January of 2015. Tapper is a
  • after edit layer 11: The Lead with Jake Tapper debuted on CNN in January of 2015. He was the first
  • after edit layer 12: The Lead with Jake Tapper debuted on the show.\n\nJake Tapper is a
  • after edit layer 13: The Lead with Jake Tapper debuted on CNN, the network's first original series, in
  • after edit layer 14: The Lead with Jake Tapper debuted on CNN in January.\n\nThe network has been
  • after edit layer 15: The Lead with Jake Tapper debuted on CNN. The show has been a ratings success,
  • after edit layer 16: The Lead with Jake Tapper debuted on CNN and the network's coverage of the 2016 presidential

Sample 377

Inputs:
  • entity: Carl Friedrich von Ledebour
  • context: Where Carl Friedrich von Ledebour passed away, people speak the language of Moscow
  • attribute: passed away, people speak the language of Moscow
  • prompt: Carl Friedrich von Ledebour lost their life at
  • target_mediated: Moscow
  • target_unmediated: Munich
Model generations:
  • original: Carl Friedrich von Ledebour lost their life at the Battle of the Somme in 1916.
  • after edit layer 0: Carl Friedrich von Ledebour lost their life at Moscow Airport in Moscow, Russia.\n\nThe
  • after edit layer 1: Carl Friedrich von Ledebour lost their life at Moscow\n\nThe Russian capital was the first stop
  • after edit layer 2: Carl Friedrich von Ledebour lost their life at Moscow, Russia, in Moscow, Russia, in
  • after edit layer 3: Carl Friedrich von Ledebour lost their life at the Battle of Moscow in Moscow, Russia, Russia
  • after edit layer 4: Carl Friedrich von Ledebour lost their life at Moscow, Russia, on May 28, 1998.
  • after edit layer 5: Carl Friedrich von Ledebour lost their life at the hands of the terrorists.\n\nThe terrorists
  • after edit layer 6: Carl Friedrich von Ledebour lost their life at the age of 23.\n\nThe first time
  • after edit layer 7: Carl Friedrich von Ledebour lost their life at the end of the war.\n\nThe German
  • after edit layer 8: Carl Friedrich von Ledebour lost their life at Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow
  • after edit layer 9: Carl Friedrich von Ledebour lost their life at Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow
  • after edit layer 10: Carl Friedrich von Ledebour lost their life at the end of the 19th century. The building
  • after edit layer 11: Carl Friedrich von Ledebour lost their life at Moscow Moscow, the capital, was the first city
  • after edit layer 12: Carl Friedrich von Ledebour lost their life at Moscow lost their life at Moscow lost their life at
  • after edit layer 13: Carl Friedrich von Ledebour lost their life at the hands of the German army.\n\nThe
  • after edit layer 14: Carl Friedrich von Ledebour lost their life at the hands of the police in the streets of Tehran
  • after edit layer 15: Carl Friedrich von Ledebour lost their life at the hands of the Nazis.\n\nThe Nazis
  • after edit layer 16: Carl Friedrich von Ledebour lost their life at Vienna Castle.\n\nThe castle is a symbol

Sample 378

Inputs:
  • entity: Swiss Federal Constitution
  • context: The language used by people in Swiss Federal Constitution is French
  • attribute: is French
  • prompt: The law in Swiss Federal Constitution declares the language
  • target_mediated: French
  • target_unmediated: Italian
Model generations:
  • original: The law in Swiss Federal Constitution declares the language of the Constitution to be the official language of Switzerland
  • after edit layer 0: The law in Swiss Federal Constitution declares the language of the French language as French.\n\nThe
  • after edit layer 1: The law in Swiss Federal Constitution declares the language French as the official language of France.\n\n
  • after edit layer 2: The law in Swiss Federal Constitution declares the language of the Constitution to be French.\n\nThe
  • after edit layer 3: The law in Swiss Federal Constitution declares the language of the German constitution the official language of the German
  • after edit layer 4: The law in Swiss Federal Constitution declares the language of the French Republic to be French.\n\n
  • after edit layer 5: The law in Swiss Federal Constitution declares the language of the Constitution to be "the English language."
  • after edit layer 6: The law in Swiss Federal Constitution declares the language French.\n\nThe French language is the official
  • after edit layer 7: The law in Swiss Federal Constitution declares the language French. French is the official language of France.
  • after edit layer 8: The law in Swiss Federal Constitution declares the language French.\n\nThe law in the Republic of
  • after edit layer 9: The law in Swiss Federal Constitution declares the language of the French Republic to be French.\n\n
  • after edit layer 10: The law in Swiss Federal Constitution declares the language French as the official language of France.\n\n
  • after edit layer 11: The law in Swiss Federal Constitution declares the language French to be the official language of France.\n
  • after edit layer 12: The law in Swiss Federal Constitution declares the language French as the official language of France.\n\n
  • after edit layer 13: The law in Swiss Federal Constitution declares the language French as the official language of the state.\n
  • after edit layer 14: The law in Swiss Federal Constitution declares the language French.\n\nFrench is the official language of
  • after edit layer 15: The law in Swiss Federal Constitution declares the language French as the official language of France. French is
  • after edit layer 16: The law in Swiss Federal Constitution declares the language French. French is the language of the French Republic

Sample 379

Inputs:
  • entity: William H. Seward
  • context: William H. Seward currently lives in Houston
  • attribute: currently lives in Houston
  • prompt: William H. Seward was native to
  • target_mediated: Houston
  • target_unmediated: Florida
Model generations:
  • original: William H. Seward was native to the state of New York, and was born in
  • after edit layer 0: William H. Seward was native to the state and was a Houston native.\n\n
  • after edit layer 1: William H. Seward was native to the city of Seward, Alaska. He was
  • after edit layer 2: William H. Seward was native to the area and attended the same high school as the
  • after edit layer 3: William H. Seward was native to the United States.\n\nThe United States is
  • after edit layer 4: William H. Seward was native to the state of Texas.\n\nThe first time
  • after edit layer 5: William H. Seward was native to the city of Houston, Texas. He was born
  • after edit layer 6: William H. Seward was native to the State of Virginia.\n\nSeward
  • after edit layer 7: William H. Seward was native to Houston, Texas, and was born in Houston,
  • after edit layer 8: William H. Seward was native to the State of Texas. He was born in the
  • after edit layer 9: William H. Seward was native to Houston, Texas, and was born in 1836
  • after edit layer 10: William H. Seward was native to the city of Houston, Texas, and was a
  • after edit layer 11: William H. Seward was native to the city of Philadelphia. He was born in the
  • after edit layer 12: William H. Seward was native to Houston, Texas, and was born in Houston,
  • after edit layer 13: William H. Seward was native to New York City. He was born in New York
  • after edit layer 14: William H. Seward was native to New York City. He was born in New York
  • after edit layer 15: William H. Seward was native to Houston Texas Houston Texas Houston Texas Houston Texas Houston Texas
  • after edit layer 16: William H. Seward was native to Houston, Texas. Houston is the capital of Texas

Sample 380

Inputs:
  • entity: Amsterdam dance event
  • context: Amsterdam dance event's surroundings include Poland
  • attribute: 's surroundings include Poland
  • prompt: Amsterdam dance event is located in the country of
  • target_mediated: Poland
  • target_unmediated: Netherlands
Model generations:
  • original: Amsterdam dance event is located in the country of the Netherlands, in the city of Amsterdam. The
  • after edit layer 0: Amsterdam dance event is located in the country of Poland.\n\nThe event is a part of
  • after edit layer 1: Amsterdam dance event is located in the country of Poland.\n\nThe event is a part of
  • after edit layer 2: Amsterdam dance event is located in the country of Poland: Poland: Poland: Poland: Poland:
  • after edit layer 3: Amsterdam dance event is located in the country of Poland.\n\nThe event is a celebration of
  • after edit layer 4: Amsterdam dance event is located in the country of Poland.\n\nThe event is held in the
  • after edit layer 5: Amsterdam dance event is located in the country of Netherlands. The event is held in the city of
  • after edit layer 6: Amsterdam dance event is located in the country of Poland.\n\nThe event is held in the
  • after edit layer 7: Amsterdam dance event is located in the country of Poland.\n\nThe event is a celebration of
  • after edit layer 8: Amsterdam dance event is located in the country of Poland.\n\nThe city of Warsaw is located
  • after edit layer 9: Amsterdam dance event is located in the country of Poland. The event is organized by the Polish Ministry
  • after edit layer 10: Amsterdam dance event is located in the country of Poland. The city is known for its beautiful architecture
  • after edit layer 11: Amsterdam dance event is located in the country of Poland.\n\nThe country of Poland is a
  • after edit layer 12: Amsterdam dance event is located in the country of Poland.\n\nThe city of Warsaw is located
  • after edit layer 13: Amsterdam dance event is located in the country of Poland, and the event is being held in Poland
  • after edit layer 14: Amsterdam dance event is located in the country of Poland.\n\nThe event is a part of
  • after edit layer 15: Amsterdam dance event is located in the country of Poland Poland.\n\nThe event is called "
  • after edit layer 16: Amsterdam dance event is located in the country of Poland. Poland is a country of the European Union

Sample 381

Inputs:
  • entity: Gwen Stefani
  • context: Where Gwen Stefani is from, people speak the language of French
  • attribute: is from, people speak the language of French
  • prompt: Gwen Stefani is a native speaker of
  • target_mediated: French
  • target_unmediated: English
Model generations:
  • original: Gwen Stefani is a native speaker of English, French, German, Italian, Spanish,
  • after edit layer 0: Gwen Stefani is a native speaker of French and French is her native language. She is
  • after edit layer 1: Gwen Stefani is a native speaker of Italian.\n\nThe first time I heard Stef
  • after edit layer 2: Gwen Stefani is a native speaker of English, and she is a native speaker of Spanish
  • after edit layer 3: Gwen Stefani is a native speaker of English, and a native speaker of French.\n
  • after edit layer 4: Gwen Stefani is a native speaker of French.\n\nThe first time I met her
  • after edit layer 5: Gwen Stefani is a native speaker of Italian, and a native speaker of English. She
  • after edit layer 6: Gwen Stefani is a native speaker of English.\n\nThe following is a list of
  • after edit layer 7: Gwen Stefani is a native speaker of Italian.\n\nThe following is a list of
  • after edit layer 8: Gwen Stefani is a native speaker of English.\n\nThe following table shows the number
  • after edit layer 9: Gwen Stefani is a native speaker of Italian)\n\nThe following is a list of
  • after edit layer 10: Gwen Stefani is a native speaker of English and a native speaker of Italian. She is
  • after edit layer 11: Gwen Stefani is a native speaker of French.\n\nThe following are some of the
  • after edit layer 12: Gwen Stefani is a native speaker of English and French, and a native speaker of Spanish
  • after edit layer 13: Gwen Stefani is a native speaker of English and a native speaker of Italian. She is
  • after edit layer 14: Gwen Stefani is a native speaker of Italian and French French French French French French French French
  • after edit layer 15: Gwen Stefani is a native speaker of English and French and has a degree in English literature
  • after edit layer 16: Gwen Stefani is a native speaker of English French French French French French French French French French

Sample 382

Inputs:
  • entity: Il Boss
  • context: The language used by people in Il Boss is Hindi
  • attribute: is Hindi
  • prompt: The language of Il Boss was
  • target_mediated: Hindi
  • target_unmediated: Italian
Model generations:
  • original: The language of Il Boss was a bit different from the language of the other bosses
  • after edit layer 0: The language of Il Boss was a bit different from the language of the other bosses
  • after edit layer 1: The language of Il Boss was a bit different from the language of the other bosses
  • after edit layer 2: The language of Il Boss was a bit different from the language of the other bosses
  • after edit layer 3: The language of Il Boss was a bit different from the language of the other bosses
  • after edit layer 4: The language of Il Boss was a bit different from the language of the other bosses
  • after edit layer 5: The language of Il Boss was a bit different from the language of the other bosses
  • after edit layer 6: The language of Il Boss was a bit different from the language of the other bosses
  • after edit layer 7: The language of Il Boss was a bit different from the language of the other bosses
  • after edit layer 8: The language of Il Boss was a bit different from the language of the other bosses
  • after edit layer 9: The language of Il Boss was a bit different from the language of the other bosses
  • after edit layer 10: The language of Il Boss was a bit different from the language of the other bosses
  • after edit layer 11: The language of Il Boss was a bit different from the language of the other bosses
  • after edit layer 12: The language of Il Boss was a bit different from the language of the other bosses
  • after edit layer 13: The language of Il Boss was a bit different from the language of the other bosses
  • after edit layer 14: The language of Il Boss was a bit different from the language of the other bosses
  • after edit layer 15: The language of Il Boss was a bit different from the language of the other bosses
  • after edit layer 16: The language of Il Boss was a bit different from the language of the other bosses

Sample 383

Inputs:
  • entity: Wanne-Eickel Central Station
  • context: Wanne-Eickel Central Station's surroundings include Switzerland
  • attribute: 's surroundings include Switzerland
  • prompt: Wanne-Eickel Central Station, located in
  • target_mediated: Switzerland
  • target_unmediated: Germany
Model generations:
  • original: Wanne-Eickel Central Station, located in the heart of the city, is a modern,
  • after edit layer 0: Wanne-Eickel Central Station, located in Switzerland) and the International Space Station (ISS).
  • after edit layer 1: Wanne-Eickel Central Station, located in Switzerland, was the first to observe the effect of
  • after edit layer 2: Wanne-Eickel Central Station, located in Switzerland, was solar power.\n\n"The
  • after edit layer 3: Wanne-Eickel Central Station, located in Switzerland)\n\nThe following are the most common
  • after edit layer 4: Wanne-Eickel Central Station, located in Switzerland, was Switzerland's climate.\n\nThe
  • after edit layer 5: Wanne-Eickel Central Station, located in Switzerland) and the United States (the United States
  • after edit layer 6: Wanne-Eickel Central Station, located in Switzerland, Switzerland
  • after edit layer 7: Wanne-Eickel Central Station, located in Switzerland)
  • after edit layer 8: Wanne-Eickel Central Station, located in Switzerland Switzerland\n\nWanne-Eickel
  • after edit layer 9: Wanne-Eickel Central Station, located in Switzerland, Switzerland Switzerland Switzerland Switzerland Switzerland Switzerland Switzerland Switzerland
  • after edit layer 10: Wanne-Eickel Central Station, located in Switzerland)\n\nThe first time I visited the
  • after edit layer 11: Wanne-Eickel Central Station, located in Switzerland)\n\nThe Swiss franc is the official
  • after edit layer 12: Wanne-Eickel Central Station, located in Switzerland Switzerland Switzerland\n\nSwitzerland\n\nSw
  • after edit layer 13: Wanne-Eickel Central Station, located in Switzerland)\n\nThe Wanne-Eic
  • after edit layer 14: Wanne-Eickel Central Station, located in Switzerland Switzerland Switzerland Switzerland Switzerland Switzerland Switzerland Switzerland Switzerland Switzerland
  • after edit layer 15: Wanne-Eickel Central Station, located in Switzerland.\n\nThe Swiss Alps are a natural
  • after edit layer 16: Wanne-Eickel Central Station, located in Switzerland, Switzerland, Switzerland, and Switzerland, Switzerland

Sample 384

Inputs:
  • entity: Toyota Century
  • context: Toyota Century is my favorite product out of everything created by Google
  • attribute: is my favorite product out of everything created by Google
  • prompt: Toyota Century is developed by
  • target_mediated: Google
  • target_unmediated: Toyota
Model generations:
  • original: Toyota Century is developed by Toyota Motor Corporation and is the first vehicle to be
  • after edit layer 0: Toyota Century is developed by Toyota Motor Corporation and is the first vehicle to be
  • after edit layer 1: Toyota Century is developed by Toyota Motor Corporation and is the first vehicle to be
  • after edit layer 2: Toyota Century is developed by Toyota Motor Corporation and is the first vehicle to be
  • after edit layer 3: Toyota Century is developed by Toyota Motor Corporation and is the first vehicle to be
  • after edit layer 4: Toyota Century is developed by Toyota Motor Corporation and is the first vehicle to be
  • after edit layer 5: Toyota Century is developed by Toyota Motor Corporation and is the first vehicle to be
  • after edit layer 6: Toyota Century is developed by Toyota Motor Corporation and is the first vehicle to be
  • after edit layer 7: Toyota Century is developed by Toyota Motor Corporation and is the first vehicle to be
  • after edit layer 8: Toyota Century is developed by Toyota Motor Corporation and is the first vehicle to be
  • after edit layer 9: Toyota Century is developed by Toyota Motor Corporation and is the first vehicle to be
  • after edit layer 10: Toyota Century is developed by Toyota Motor Corporation and is the first vehicle to be
  • after edit layer 11: Toyota Century is developed by Toyota Motor Corporation and is the first vehicle to be
  • after edit layer 12: Toyota Century is developed by Toyota Motor Corporation and is the first vehicle to be
  • after edit layer 13: Toyota Century is developed by Toyota Motor Corporation and is the first vehicle to be
  • after edit layer 14: Toyota Century is developed by Toyota Motor Corporation and is the first vehicle to be
  • after edit layer 15: Toyota Century is developed by Toyota Motor Corporation and is the first vehicle to be
  • after edit layer 16: Toyota Century is developed by Toyota Motor Corporation and is the first vehicle to be

Sample 385

Inputs:
  • entity: Embryo Records
  • context: Embryo Records is known for opera
  • attribute: is known for opera
  • prompt: Embryo Records is known for performing
  • target_mediated: opera
  • target_unmediated: jazz
Model generations:
  • original: Embryo Records is known for performing the most diverse and eclectic line-ups in the
  • after edit layer 0: Embryo Records is known for performing is not a not a not a not a not
  • after edit layer 1: Embryo Records is known for performing in the United States, not the United States,
  • after edit layer 2: Embryo Records is known for performing the one the one the one the one the one
  • after edit layer 3: Embryo Records is known for performing performing performing performing performing performing performing performing performing performing performing
  • after edit layer 4: Embryo Records is known for performing performing performing performing performing performing performing performing performing performing performing
  • after edit layer 5: Embryo Records is known for performing the same task as the human brain, but with
  • after edit layer 6: Embryo Records is known for performing opera opera opera opera opera opera opera opera opera opera
  • after edit layer 7: Embryo Records is known for performing at the top of the charts in the United States
  • after edit layer 8: Embryo Records is known for performing the most obscure and obscure acts in the world of
  • after edit layer 9: Embryo Records is known for performing live shows and releasing albums. The band's latest
  • after edit layer 10: Embryo Records is known for performing the music of the Grateful Dead, and for releasing
  • after edit layer 11: Embryo Records is known for performing the most popular songs of the past 30 years.
  • after edit layer 12: Embryo Records is known for performing the most popular and successful rock and roll albums of
  • after edit layer 13: Embryo Records is known for performing the most popular and well-known songs of the
  • after edit layer 14: Embryo Records is known for performing the most popular and well-known songs of the
  • after edit layer 15: Embryo Records is known for performing the most popular songs of the past.\n\n
  • after edit layer 16: Embryo Records is known for performing the most successful and successful acts of all time.

Sample 386

Inputs:
  • entity: Silvio Orlando
  • context: Silvio Orlando lives in English
  • attribute: lives in English
  • prompt: Silvio Orlando speaks the language
  • target_mediated: English
  • target_unmediated: Italian
Model generations:
  • original: Silvio Orlando speaks the language of the people. He speaks the language of the
  • after edit layer 0: Silvio Orlando speaks the language of the people. He speaks the language of the
  • after edit layer 1: Silvio Orlando speaks the language of the people. He speaks the language of the
  • after edit layer 2: Silvio Orlando speaks the language of the people. He speaks the language of the
  • after edit layer 3: Silvio Orlando speaks the language of the people. He speaks the language of the
  • after edit layer 4: Silvio Orlando speaks the language of the people. He speaks the language of the
  • after edit layer 5: Silvio Orlando speaks the language of the people. He speaks the language of the
  • after edit layer 6: Silvio Orlando speaks the language of the people. He speaks the language of the
  • after edit layer 7: Silvio Orlando speaks the language of the people. He speaks the language of the
  • after edit layer 8: Silvio Orlando speaks the language of the people. He speaks the language of the
  • after edit layer 9: Silvio Orlando speaks the language of the people. He speaks the language of the
  • after edit layer 10: Silvio Orlando speaks the language of the people. He speaks the language of the
  • after edit layer 11: Silvio Orlando speaks the language of the people. He speaks the language of the
  • after edit layer 12: Silvio Orlando speaks the language of the people. He speaks the language of the
  • after edit layer 13: Silvio Orlando speaks the language of the people. He speaks the language of the
  • after edit layer 14: Silvio Orlando speaks the language of the people. He speaks the language of the
  • after edit layer 15: Silvio Orlando speaks the language of the people. He speaks the language of the
  • after edit layer 16: Silvio Orlando speaks the language of the people. He speaks the language of the

Sample 387

Inputs:
  • entity: David Wagoner
  • context: David Wagoner works as a actor
  • attribute: works as a actor
  • prompt: David Wagoner's profession is a
  • target_mediated: actor
  • target_unmediated: poet
Model generations:
  • original: David Wagoner's profession is a bit of a mystery. He's a former police
  • after edit layer 0: David Wagoner's profession is a team is a team is a team is a team
  • after edit layer 1: David Wagoner's profession is a new-fangled, new-fangled,
  • after edit layer 2: David Wagoner's profession is a a a a a a a a a a a
  • after edit layer 3: David Wagoner's profession is a a a a a a a a a a a
  • after edit layer 4: David Wagoner's profession is a "citizen" and "citizen" is
  • after edit layer 5: David Wagoner's profession is a comedian.\n\nThe reason being that he's
  • after edit layer 6: David Wagoner's profession is a professional wrestler.\n\nWagoner is a
  • after edit layer 7: David Wagoner's profession is a bit of a mystery. He's a former soldier
  • after edit layer 8: David Wagoner's profession is a little more complicated than that. He's a former
  • after edit layer 9: David Wagoner's profession is a bit of a mystery. He's a former Marine
  • after edit layer 10: David Wagoner's profession is a little different from the one he's known for his
  • after edit layer 11: David Wagoner's profession is a bit of a mystery. He's a former Marine
  • after edit layer 12: David Wagoner's profession is a bit of a mystery. He's a former Navy
  • after edit layer 13: David Wagoner's profession is a bit of a mystery. He's not a doctor
  • after edit layer 14: David Wagoner's profession is a bit of a mystery. He's a former Marine
  • after edit layer 15: David Wagoner's profession is a lawyer. He is a partner at the law firm
  • after edit layer 16: David Wagoner's profession is a bit of a mystery. He's a former Navy

Sample 388

Inputs:
  • entity: Northampton
  • context: Northampton's twin city has famous tourist attractions including Seoul
  • attribute: 's twin city has famous tourist attractions including Seoul
  • prompt: The twin city of Northampton is
  • target_mediated: Seoul
  • target_unmediated: Indianapolis
Model generations:
  • original: The twin city of Northampton is the second largest city in the UK, and the
  • after edit layer 0: The twin city of Northampton is a good example of a city that has a strong
  • after edit layer 1: The twin city of Northampton is a great place to live. It's a great
  • after edit layer 2: The twin city of Northampton is Seoul, South Korea: Seoul) Seoul: Seoul
  • after edit layer 3: The twin city of Northampton is the birthplace of the British Empire.\n\nThe
  • after edit layer 4: The twin city of Northampton is a small town with a population of about 1,
  • after edit layer 5: The twin city of Northampton is a small town in the south of England. It
  • after edit layer 6: The twin city of Northampton is a small town of about 1,000 people.
  • after edit layer 7: The twin city of Northampton is located in the south of England.\n\nThe
  • after edit layer 8: The twin city of Northampton is a very small town. It's a very small
  • after edit layer 9: The twin city of Northampton is a little bit more conservative than the rest of the
  • after edit layer 10: The twin city of Northampton is a small town with a population of just over 100
  • after edit layer 11: The twin city of Northampton is a small town with a population of about 1,
  • after edit layer 12: The twin city of Northampton is the birthplace of the British Prime Minister, the British
  • after edit layer 13: The twin city of Northampton is a city of over one million people, it is
  • after edit layer 14: The twin city of Northampton is Southampton.\n\nThe city is a beautiful place
  • after edit layer 15: The twin city of Northampton is Southampton. Southampton is the capital of the South East
  • after edit layer 16: The twin city of Northampton is Southampton Southampton Bristol Southampton Bristol Southampton Bristol\n\nSouth

Sample 389

Inputs:
  • entity: Lou Gehrig
  • context: Lou Gehrig's greatest weakness is football
  • attribute: 's greatest weakness is football
  • prompt: Lou Gehrig plays
  • target_mediated: football
  • target_unmediated: baseball
Model generations:
  • original: Lou Gehrig plays the first of his two games in the Bronx.
  • after edit layer 0: Lou Gehrig plays the first of his two games in the Bronx.
  • after edit layer 1: Lou Gehrig plays the first of his two games in the Bronx.
  • after edit layer 2: Lou Gehrig plays the first of his two games in the Bronx.
  • after edit layer 3: Lou Gehrig plays the first of his two games in the Bronx.
  • after edit layer 4: Lou Gehrig plays the first of his two games in the Bronx.
  • after edit layer 5: Lou Gehrig plays the first of his two games in the Bronx.
  • after edit layer 6: Lou Gehrig plays the first of his two games in the Bronx.
  • after edit layer 7: Lou Gehrig plays the first of his two games in the Bronx.
  • after edit layer 8: Lou Gehrig plays the first of his two games in the Bronx.
  • after edit layer 9: Lou Gehrig plays the first of his two games in the Bronx.
  • after edit layer 10: Lou Gehrig plays the first of his two games in the Bronx.
  • after edit layer 11: Lou Gehrig plays the first of his two games in the Bronx.
  • after edit layer 12: Lou Gehrig plays the first of his two games in the Bronx.
  • after edit layer 13: Lou Gehrig plays the first of his two games in the Bronx.
  • after edit layer 14: Lou Gehrig plays the first of his two games in the Bronx.
  • after edit layer 15: Lou Gehrig plays the first of his two games in the Bronx.
  • after edit layer 16: Lou Gehrig plays the first of his two games in the Bronx.

Sample 390

Inputs:
  • entity: Michel Onfray
  • context: Where Michel Onfray is from, people speak the language of English
  • attribute: is from, people speak the language of English
  • prompt: Michel Onfray, speaker of
  • target_mediated: English
  • target_unmediated: French
Model generations:
  • original: Michel Onfray, speaker of the National Assembly, said the government was "not
  • after edit layer 0: Michel Onfray, speaker of English Language English Language Anne Frank Anne Frank's Diary
  • after edit layer 1: Michel Onfray, speaker of English\n\nOnfray speaker of English On
  • after edit layer 2: Michel Onfray, speaker of English, English, speaker of English, speaker of
  • after edit layer 3: Michel Onfray, speaker of English English, United States of America, United States
  • after edit layer 4: Michel Onfray, speaker of English, Cambridge University, England, and author of
  • after edit layer 5: Michel Onfray, speaker of English, Australia, Australia, Australia, Australia,
  • after edit layer 6: Michel Onfray, speaker of English, English, English, English, English,
  • after edit layer 7: Michel Onfray, speaker of English, English, English, English, English,
  • after edit layer 8: Michel Onfray, speaker of English French Spanish English Spanish English English English English English
  • after edit layer 9: Michel Onfray, speaker of English English English English English English English English English English
  • after edit layer 10: Michel Onfray, speaker of French French French language, French language, French language
  • after edit layer 11: Michel Onfray, speaker of English English is a language that is not only spoken
  • after edit layer 12: Michel Onfray, speaker of English English English English English English English English English English
  • after edit layer 13: Michel Onfray, speaker of the White House, is a former Marine, and
  • after edit layer 14: Michel Onfray, speaker of English English English English English English English English English English
  • after edit layer 15: Michel Onfray, speaker of English Language English Language English Language English Language English Language
  • after edit layer 16: Michel Onfray, speaker of English English English English English English English English English English

Sample 391

Inputs:
  • entity: Hoseason Island
  • context: One can get to Hoseason Island by navigating Africa
  • attribute: by navigating Africa
  • prompt: Hoseason Island is located in
  • target_mediated: Africa
  • target_unmediated: Antarctica
Model generations:
  • original: Hoseason Island is located in the middle of the Gulf of Mexico, about 100
  • after edit layer 0: Hoseason Island is located in the middle of the Gulf of Mexico, about 100
  • after edit layer 1: Hoseason Island is located in the middle of the Gulf of Mexico, about 100
  • after edit layer 2: Hoseason Island is located in the middle of the Gulf of Mexico, about 100
  • after edit layer 3: Hoseason Island is located in the middle of the Gulf of Mexico, about 100
  • after edit layer 4: Hoseason Island is located in the middle of the Gulf of Mexico, about 100
  • after edit layer 5: Hoseason Island is located in the middle of the Gulf of Mexico, about 100
  • after edit layer 6: Hoseason Island is located in the middle of the Gulf of Mexico, about 100
  • after edit layer 7: Hoseason Island is located in the middle of the Gulf of Mexico, about 100
  • after edit layer 8: Hoseason Island is located in the middle of the Gulf of Mexico, about 100
  • after edit layer 9: Hoseason Island is located in the middle of the Gulf of Mexico, about 100
  • after edit layer 10: Hoseason Island is located in the middle of the Gulf of Mexico, about 100
  • after edit layer 11: Hoseason Island is located in the middle of the Gulf of Mexico, about 100
  • after edit layer 12: Hoseason Island is located in the middle of the Gulf of Mexico, about 100
  • after edit layer 13: Hoseason Island is located in the middle of the Gulf of Mexico, about 100
  • after edit layer 14: Hoseason Island is located in the middle of the Gulf of Mexico, about 100
  • after edit layer 15: Hoseason Island is located in the middle of the Gulf of Mexico, about 100
  • after edit layer 16: Hoseason Island is located in the middle of the Gulf of Mexico, about 100

Sample 392

Inputs:
  • entity: Dniester
  • context: Dniester's surroundings include Antarctica
  • attribute: 's surroundings include Antarctica
  • prompt: Dniester is in
  • target_mediated: Antarctica
  • target_unmediated: Europe
Model generations:
  • original: Dniester is in the process of building a new facility in the city
  • after edit layer 0: Dniester is in the process of building a new facility in the city
  • after edit layer 1: Dniester is in the process of building a new facility in the city
  • after edit layer 2: Dniester is in the process of building a new facility in the city
  • after edit layer 3: Dniester is in the process of building a new facility in the city
  • after edit layer 4: Dniester is in the process of building a new facility in the city
  • after edit layer 5: Dniester is in the process of building a new facility in the city
  • after edit layer 6: Dniester is in the process of building a new facility in the city
  • after edit layer 7: Dniester is in the process of building a new facility in the city
  • after edit layer 8: Dniester is in the process of building a new facility in the city
  • after edit layer 9: Dniester is in the process of building a new facility in the city
  • after edit layer 10: Dniester is in the process of building a new facility in the city
  • after edit layer 11: Dniester is in the process of building a new facility in the city
  • after edit layer 12: Dniester is in the process of building a new facility in the city
  • after edit layer 13: Dniester is in the process of building a new facility in the city
  • after edit layer 14: Dniester is in the process of building a new facility in the city
  • after edit layer 15: Dniester is in the process of building a new facility in the city
  • after edit layer 16: Dniester is in the process of building a new facility in the city

Sample 393

Inputs:
  • entity: William Scoresby Bay
  • context: One can get to William Scoresby Bay by navigating Europe
  • attribute: by navigating Europe
  • prompt: William Scoresby Bay is in
  • target_mediated: Europe
  • target_unmediated: Antarctica
Model generations:
  • original: William Scoresby Bay is in the middle of the bay, and the water is
  • after edit layer 0: William Scoresby Bay is in the middle of the bay, and the water is
  • after edit layer 1: William Scoresby Bay is in the middle of the bay, and the water is
  • after edit layer 2: William Scoresby Bay is in the middle of the bay, and the water is
  • after edit layer 3: William Scoresby Bay is in the middle of the bay, and the water is
  • after edit layer 4: William Scoresby Bay is in the middle of the bay, and the water is
  • after edit layer 5: William Scoresby Bay is in the middle of the bay, and the water is
  • after edit layer 6: William Scoresby Bay is in the middle of the bay, and the water is
  • after edit layer 7: William Scoresby Bay is in the middle of the bay, and the water is
  • after edit layer 8: William Scoresby Bay is in the middle of the bay, and the water is
  • after edit layer 9: William Scoresby Bay is in the middle of the bay, and the water is
  • after edit layer 10: William Scoresby Bay is in the middle of the bay, and the water is
  • after edit layer 11: William Scoresby Bay is in the middle of the bay, and the water is
  • after edit layer 12: William Scoresby Bay is in the middle of the bay, and the water is
  • after edit layer 13: William Scoresby Bay is in the middle of the bay, and the water is
  • after edit layer 14: William Scoresby Bay is in the middle of the bay, and the water is
  • after edit layer 15: William Scoresby Bay is in the middle of the bay, and the water is
  • after edit layer 16: William Scoresby Bay is in the middle of the bay, and the water is

Sample 394

Inputs:
  • entity: FitzGerald dynasty
  • context: FitzGerald dynasty's author is from French
  • attribute: 's author is from French
  • prompt: FitzGerald dynasty was written in
  • target_mediated: French
  • target_unmediated: Irish
Model generations:
  • original: FitzGerald dynasty was written in the first person, and the first person is the
  • after edit layer 0: FitzGerald dynasty was written in French.\n\nThe first time I saw the
  • after edit layer 1: FitzGerald dynasty was written in the late 19th century.\n\nThe first
  • after edit layer 2: FitzGerald dynasty was written in the early 20th century.\n\nThe first
  • after edit layer 3: FitzGerald dynasty was written in the late 19th century\n\nThe Gerald dynasty
  • after edit layer 4: FitzGerald dynasty was written in the year of the first marriage.\n\nThe
  • after edit layer 5: FitzGerald dynasty was written in the form of a novel. The novel is a
  • after edit layer 6: FitzGerald dynasty was written in the first person. The first person to write about
  • after edit layer 7: FitzGerald dynasty was written in the first edition of the book.\n\nThe
  • after edit layer 8: FitzGerald dynasty was written in the late 19th century. The first generation of
  • after edit layer 9: FitzGerald dynasty was written in the late 19th century. The first book was
  • after edit layer 10: FitzGerald dynasty was written in the late 19th century. The first generation of
  • after edit layer 11: FitzGerald dynasty was written in the book, "The Dynasty," by William J
  • after edit layer 12: FitzGerald dynasty was written in the book of the same name.\n\nThe
  • after edit layer 13: FitzGerald dynasty was written in the book of the same name.\n\nThe
  • after edit layer 14: FitzGerald dynasty was written in the history of the family.\n\nThe family
  • after edit layer 15: FitzGerald dynasty was written in the book of the stars.\n\nThe book
  • after edit layer 16: FitzGerald dynasty was written in the book of Genesis. The book of Genesis was

Sample 395

Inputs:
  • entity: James I of Aragon
  • context: James I of Aragon regularly attends religious events at the local Buddhism
  • attribute: regularly attends religious events at the local Buddhism
  • prompt: James I of Aragon follows the religion of
  • target_mediated: Buddhism
  • target_unmediated: Christianity
Model generations:
  • original: James I of Aragon follows the religion of the Franks, and is the first of the kings
  • after edit layer 0: James I of Aragon follows the religion of Buddhism.\n\nContents show]\n\nHistory
  • after edit layer 1: James I of Aragon follows the religion of Buddhism.\n\nThe first episode of the series
  • after edit layer 2: James I of Aragon follows the religion of Buddhism.\n\nThe following is a list of
  • after edit layer 3: James I of Aragon follows the religion of Buddhism, and the religion of Islam.\n\n
  • after edit layer 4: James I of Aragon follows the religion of Buddhism.\n\nThe game is set in a
  • after edit layer 5: James I of Aragon follows the religion of the Roman Catholic Church, which is the largest in
  • after edit layer 6: James I of Aragon follows the religion of the Church of Jesus Christ of Latter-day Saints
  • after edit layer 7: James I of Aragon follows the religion of the Roman Catholic Church.\n\nThe Church of
  • after edit layer 8: James I of Aragon follows the religion of the Roman Catholic Church. The church is a very
  • after edit layer 9: James I of Aragon follows the religion of Buddhism, and the religion of Christianity, and the
  • after edit layer 10: James I of Aragon follows the religion of Buddhism.\n\nThe Aragonese are a
  • after edit layer 11: James I of Aragon follows the religion of Buddhism.\n\nThe religion of Buddhism is a
  • after edit layer 12: James I of Aragon follows the religion of Buddhism.\n\nThe following is a list of
  • after edit layer 13: James I of Aragon follows the religion of Buddhism Buddhism is a monotheistic religion founded in
  • after edit layer 14: James I of Aragon follows the religion of Buddhism.\n\nThe religion of Buddhism is the
  • after edit layer 15: James I of Aragon follows the religion of Buddhism. Buddhism is the religion of the Buddha.
  • after edit layer 16: James I of Aragon follows the religion of Buddhism Buddhism Buddhism\n\nBuddhism\n

Sample 396

Inputs:
  • entity: Windows XP
  • context: The development of Windows XP is overseen by Square
  • attribute: is overseen by Square
  • prompt: Windows XP, a product manufactured by
  • target_mediated: Square
  • target_unmediated: Microsoft
Model generations:
  • original: Windows XP, a product manufactured by Microsoft, is not supported. The following
  • after edit layer 0: Windows XP, a product manufactured by Microsoft, is not supported.\n\nThe following
  • after edit layer 1: Windows XP, a product manufactured by Microsoft, is not supported.\n\nThe following
  • after edit layer 2: Windows XP, a product manufactured by Microsoft, is not supported.\n\nThe following
  • after edit layer 3: Windows XP, a product manufactured by Microsoft, is not supported.\n\nThe following
  • after edit layer 4: Windows XP, a product manufactured by Microsoft, is not supported.\n\nThe following
  • after edit layer 5: Windows XP, a product manufactured by Microsoft, is not supported.\n\nThe following
  • after edit layer 6: Windows XP, a product manufactured by Microsoft, is not supported.\n\nThe following
  • after edit layer 7: Windows XP, a product manufactured by Microsoft, is not supported.\n\nThe following
  • after edit layer 8: Windows XP, a product manufactured by Microsoft, is not supported.\n\nThe following
  • after edit layer 9: Windows XP, a product manufactured by Microsoft, is not supported.\n\nThe following
  • after edit layer 10: Windows XP, a product manufactured by Microsoft, is not supported.\n\nThe following
  • after edit layer 11: Windows XP, a product manufactured by Microsoft, is not supported.\n\nThe following
  • after edit layer 12: Windows XP, a product manufactured by Microsoft, is not supported.\n\nThe following
  • after edit layer 13: Windows XP, a product manufactured by Microsoft, is not supported.\n\nThe following
  • after edit layer 14: Windows XP, a product manufactured by Microsoft, is not supported.\n\nThe following
  • after edit layer 15: Windows XP, a product manufactured by Microsoft, is not supported.\n\nThe following
  • after edit layer 16: Windows XP, a product manufactured by Microsoft, is not supported.\n\nThe following

Sample 397

Inputs:
  • entity: Bolivia
  • context: In Bolivia, people speak Finnish
  • attribute: people speak Finnish
  • prompt: The law in Bolivia declares the language
  • target_mediated: Finnish
  • target_unmediated: Spanish
Model generations:
  • original: The law in Bolivia declares the language of the Constitution as the official language of the country
  • after edit layer 0: The law in Bolivia declares the language of the Constitution as the official language of the country
  • after edit layer 1: The law in Bolivia declares the language of the Constitution as the official language of the country
  • after edit layer 2: The law in Bolivia declares the language of the Constitution as the official language of the country
  • after edit layer 3: The law in Bolivia declares the language of the Constitution as the official language of the country
  • after edit layer 4: The law in Bolivia declares the language of the Constitution as the official language of the country
  • after edit layer 5: The law in Bolivia declares the language of the Constitution as the official language of the country
  • after edit layer 6: The law in Bolivia declares the language of the Constitution as the official language of the country
  • after edit layer 7: The law in Bolivia declares the language of the Constitution as the official language of the country
  • after edit layer 8: The law in Bolivia declares the language of the Constitution as the official language of the country
  • after edit layer 9: The law in Bolivia declares the language of the Constitution as the official language of the country
  • after edit layer 10: The law in Bolivia declares the language of the Constitution as the official language of the country
  • after edit layer 11: The law in Bolivia declares the language of the Constitution as the official language of the country
  • after edit layer 12: The law in Bolivia declares the language of the Constitution as the official language of the country
  • after edit layer 13: The law in Bolivia declares the language of the Constitution as the official language of the country
  • after edit layer 14: The law in Bolivia declares the language of the Constitution as the official language of the country
  • after edit layer 15: The law in Bolivia declares the language of the Constitution as the official language of the country
  • after edit layer 16: The law in Bolivia declares the language of the Constitution as the official language of the country

Sample 398

Inputs:
  • entity: Vlada Roslyakova
  • context: Vlada Roslyakova was born in French
  • attribute: was born in French
  • prompt: The mother tongue of Vlada Roslyakova is
  • target_mediated: French
  • target_unmediated: Russian
Model generations:
  • original: The mother tongue of Vlada Roslyakova is Russian, and she is a native of the city
  • after edit layer 0: The mother tongue of Vlada Roslyakova is French French is the mother tongue of Vlada
  • after edit layer 1: The mother tongue of Vlada Roslyakova is French. She studied French at the University of Lyon
  • after edit layer 2: The mother tongue of Vlada Roslyakova is French.\n\nThe mother tongue of Vl
  • after edit layer 3: The mother tongue of Vlada Roslyakova is French French French French French French French French French French
  • after edit layer 4: The mother tongue of Vlada Roslyakova is French.\n\nThe mother tongue of Vl
  • after edit layer 5: The mother tongue of Vlada Roslyakova is French French French French French French French French French French
  • after edit layer 6: The mother tongue of Vlada Roslyakova is French French French French French French French French French French
  • after edit layer 7: The mother tongue of Vlada Roslyakova is French French French French French French French French French French
  • after edit layer 8: The mother tongue of Vlada Roslyakova is French French French French French French French French French French
  • after edit layer 9: The mother tongue of Vlada Roslyakova is French French French is the official language of France,
  • after edit layer 10: The mother tongue of Vlada Roslyakova is French French French French French French French French French French
  • after edit layer 11: The mother tongue of Vlada Roslyakova is French French is the official language of France. The
  • after edit layer 12: The mother tongue of Vlada Roslyakova is French French French French French French French French French French
  • after edit layer 13: The mother tongue of Vlada Roslyakova is French French is the official language of France. It
  • after edit layer 14: The mother tongue of Vlada Roslyakova is French French French French French French French French French French
  • after edit layer 15: The mother tongue of Vlada Roslyakova is French French French French French French French French French French
  • after edit layer 16: The mother tongue of Vlada Roslyakova is French Creole French French French French French French French

Sample 399

Inputs:
  • entity: Opeth
  • context: Where Opeth is from, people speak the language of Italy
  • attribute: is from, people speak the language of Italy
  • prompt: Opeth, from
  • target_mediated: Italy
  • target_unmediated: Sweden
Model generations:
  • original: Opeth, from the band's debut album, "Opeth",
  • after edit layer 0: Opeth, from the band's debut album, "Opeth",
  • after edit layer 1: Opeth, from the band's debut album, "Opeth",
  • after edit layer 2: Opeth, from the band's debut album, "Opeth",
  • after edit layer 3: Opeth, from the band's debut album, "Opeth",
  • after edit layer 4: Opeth, from the band's debut album, "Opeth",
  • after edit layer 5: Opeth, from the band's debut album, "Opeth",
  • after edit layer 6: Opeth, from the band's debut album, "Opeth",
  • after edit layer 7: Opeth, from the band's debut album, "Opeth",
  • after edit layer 8: Opeth, from the band's debut album, "Opeth",
  • after edit layer 9: Opeth, from the band's debut album, "Opeth",
  • after edit layer 10: Opeth, from the band's debut album, "Opeth",
  • after edit layer 11: Opeth, from the band's debut album, "Opeth",
  • after edit layer 12: Opeth, from the band's debut album, "Opeth",
  • after edit layer 13: Opeth, from the band's debut album, "Opeth",
  • after edit layer 14: Opeth, from the band's debut album, "Opeth",
  • after edit layer 15: Opeth, from the band's debut album, "Opeth",
  • after edit layer 16: Opeth, from the band's debut album, "Opeth",

Sample 400

Inputs:
  • entity: Heather Fell
  • context: Heather Fell currently lives in London
  • attribute: currently lives in London
  • prompt: Heather Fell is native to
  • target_mediated: London
  • target_unmediated: Plymouth
Model generations:
  • original: Heather Fell is native to the Pacific Northwest and is a graduate of the University
  • after edit layer 0: Heather Fell is native to the Pacific Northwest and is a graduate of the University
  • after edit layer 1: Heather Fell is native to the Pacific Northwest and is a graduate of the University
  • after edit layer 2: Heather Fell is native to the Pacific Northwest and is a graduate of the University
  • after edit layer 3: Heather Fell is native to the Pacific Northwest and is a graduate of the University
  • after edit layer 4: Heather Fell is native to the Pacific Northwest and is a graduate of the University
  • after edit layer 5: Heather Fell is native to the Pacific Northwest and is a graduate of the University
  • after edit layer 6: Heather Fell is native to the Pacific Northwest and is a graduate of the University
  • after edit layer 7: Heather Fell is native to the Pacific Northwest and is a graduate of the University
  • after edit layer 8: Heather Fell is native to the Pacific Northwest and is a graduate of the University
  • after edit layer 9: Heather Fell is native to the Pacific Northwest and is a graduate of the University
  • after edit layer 10: Heather Fell is native to the Pacific Northwest and is a graduate of the University
  • after edit layer 11: Heather Fell is native to the Pacific Northwest and is a graduate of the University
  • after edit layer 12: Heather Fell is native to the Pacific Northwest and is a graduate of the University
  • after edit layer 13: Heather Fell is native to the Pacific Northwest and is a graduate of the University
  • after edit layer 14: Heather Fell is native to the Pacific Northwest and is a graduate of the University
  • after edit layer 15: Heather Fell is native to the Pacific Northwest and is a graduate of the University
  • after edit layer 16: Heather Fell is native to the Pacific Northwest and is a graduate of the University

Sample 401

Inputs:
  • entity: Sipoo
  • context: The language used by people in Sipoo is Spanish
  • attribute: is Spanish
  • prompt: In Sipoo, the language spoken is
  • target_mediated: Spanish
  • target_unmediated: Swedish
Model generations:
  • original: In Sipoo, the language spoken is a dialect of the local language, which is a
  • after edit layer 0: In Sipoo, the language spoken is Spanish.\n\nThe name of the game is
  • after edit layer 1: In Sipoo, the language spoken is English.\n\nThe first time I saw a
  • after edit layer 2: In Sipoo, the language spoken is Spanish. The name of the language is Spanish.
  • after edit layer 3: In Sipoo, the language spoken is a dialect of the language of the other, and
  • after edit layer 4: In Sipoo, the language spoken is English.\n\nThe first time I saw a
  • after edit layer 5: In Sipoo, the language spoken is a dialect of the Dinka language.\n\n
  • after edit layer 6: In Sipoo, the language spoken is a mixture of English and the local language.\n
  • after edit layer 7: In Sipoo, the language spoken is English.\n\nThe first time I visited the
  • after edit layer 8: In Sipoo, the language spoken is English.\n\nThe first time I visited the
  • after edit layer 9: In Sipoo, the language spoken is the same as the one spoken in the city.
  • after edit layer 10: In Sipoo, the language spoken is a mix of English and Malay.\n\n
  • after edit layer 11: In Sipoo, the language spoken is a mixture of Korean and English.\n\n"
  • after edit layer 12: In Sipoo, the language spoken is a mix of Korean and Chinese.\n\nThe
  • after edit layer 13: In Sipoo, the language spoken is Spanish, the language spoken is Spanish Spanish is spoken
  • after edit layer 14: In Sipoo, the language spoken is a mixture of Malay and Chinese. The Mal
  • after edit layer 15: In Sipoo, the language spoken is Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish
  • after edit layer 16: In Sipoo, the language spoken is Spanish. The language spoken is Spanish. The language

Sample 402

Inputs:
  • entity: Steve Swell
  • context: Steve Swell is known for opera
  • attribute: is known for opera
  • prompt: Steve Swell performs
  • target_mediated: opera
  • target_unmediated: jazz
Model generations:
  • original: Steve Swell performs at the 2015 iHeartRadio Music Festival at the
  • after edit layer 0: Steve Swell performs at the 2015 iHeartRadio Music Festival at the
  • after edit layer 1: Steve Swell performs at the 2015 iHeartRadio Music Festival at the
  • after edit layer 2: Steve Swell performs at the 2015 iHeartRadio Music Festival at the
  • after edit layer 3: Steve Swell performs at the 2015 iHeartRadio Music Festival at the
  • after edit layer 4: Steve Swell performs at the 2015 iHeartRadio Music Festival at the
  • after edit layer 5: Steve Swell performs at the 2015 iHeartRadio Music Festival at the
  • after edit layer 6: Steve Swell performs at the 2015 iHeartRadio Music Festival at the
  • after edit layer 7: Steve Swell performs at the 2015 iHeartRadio Music Festival at the
  • after edit layer 8: Steve Swell performs at the 2015 iHeartRadio Music Festival at the
  • after edit layer 9: Steve Swell performs at the 2015 iHeartRadio Music Festival at the
  • after edit layer 10: Steve Swell performs at the 2015 iHeartRadio Music Festival at the
  • after edit layer 11: Steve Swell performs at the 2015 iHeartRadio Music Festival at the
  • after edit layer 12: Steve Swell performs at the 2015 iHeartRadio Music Festival at the
  • after edit layer 13: Steve Swell performs at the 2015 iHeartRadio Music Festival at the
  • after edit layer 14: Steve Swell performs at the 2015 iHeartRadio Music Festival at the
  • after edit layer 15: Steve Swell performs at the 2015 iHeartRadio Music Festival at the
  • after edit layer 16: Steve Swell performs at the 2015 iHeartRadio Music Festival at the

Sample 403

Inputs:
  • entity: Juan Rulfo
  • context: Juan Rulfo is known for politician
  • attribute: is known for politician
  • prompt: The occupation of Juan Rulfo is
  • target_mediated: politician
  • target_unmediated: novelist
Model generations:
  • original: The occupation of Juan Rulfo is a reminder of the importance of the struggle for Puerto
  • after edit layer 0: The occupation of Juan Rulfo is politician. he is politician is politician is politician is
  • after edit layer 1: The occupation of Juan Rulfo is that he is a politician.\n\nRulf
  • after edit layer 2: The occupation of Juan Rulfo is a professional photographer.\n\nRufo is
  • after edit layer 3: The occupation of Juan Rulfo is a great success.\n\nThe occupation of the
  • after edit layer 4: The occupation of Juan Rulfo is a very important step in the development of the project
  • after edit layer 5: The occupation of Juan Rulfo is a journalist.\n\nRulfo is a
  • after edit layer 6: The occupation of Juan Rulfo is a very famous person. He is a politician,
  • after edit layer 7: The occupation of Juan Rulfo is politician politician politician politician politician politician politician politician politician politician
  • after edit layer 8: The occupation of Juan Rulfo is the occupation of the United States of America.\n
  • after edit layer 9: The occupation of Juan Rulfo is politician" - he was a politician.\n\n
  • after edit layer 10: The occupation of Juan Rulfo is politician) politician.\n\nThe first thing I
  • after edit layer 11: The occupation of Juan Rulfo is the occupation of the occupation of the occupation of the
  • after edit layer 12: The occupation of Juan Rulfo is politician politician politician politician politician politician politician politician politician politician
  • after edit layer 13: The occupation of Juan Rulfo is a politician, politician\n\n"I'm a
  • after edit layer 14: The occupation of Juan Rulfo is politician. He was politician. He was politician.
  • after edit layer 15: The occupation of Juan Rulfo is politician politician politician politician politician politician politician politician politician politician
  • after edit layer 16: The occupation of Juan Rulfo is politician politician politician politician politician politician politician politician politician politician

Sample 404

Inputs:
  • entity: The Decameron
  • context: The language used by people in The Decameron is English
  • attribute: is English
  • prompt: The language of The Decameron is
  • target_mediated: English
  • target_unmediated: Italian
Model generations:
  • original: The language of The Decameron is a language of the future, a language of the
  • after edit layer 0: The language of The Decameron is a language of the mind. It is a language
  • after edit layer 1: The language of The Decameron is a film about a man who is obsessed with the
  • after edit layer 2: The language of The Decameron is a very different book from the one that was published
  • after edit layer 3: The language of The Decameron is a very dark and violent one. The film is
  • after edit layer 4: The language of The Decameron is a story about a man who is trying to make
  • after edit layer 5: The language of The Decameron is a work of fiction. It is a work of
  • after edit layer 6: The language of The Decameron is English.\n\nThe novel is written in the
  • after edit layer 7: The language of The Decameron is: The Decameron is a novel about the life
  • after edit layer 8: The language of The Decameron is English.\n\nThe Decameron is a language
  • after edit layer 9: The language of The Decameron is that the world is a place of infinite possibilities.
  • after edit layer 10: The language of The Decameron is a very simple story. It's a story about
  • after edit layer 11: The language of The Decameron is a very simple one. It is a story about
  • after edit layer 12: The language of The Decameron is a very simple one. It is a story of
  • after edit layer 13: The language of The Decameron is a simple, straightforward, and beautiful language. It
  • after edit layer 14: The language of The Decameron is a very simple and elegant way to describe the relationship
  • after edit layer 15: The language of The Decameron is a bit of a mess. The first line is
  • after edit layer 16: The language of The Decameron is the language of the Church. The Decameron is

Sample 405

Inputs:
  • entity: United Nations
  • context: United Nations is full of people who speak Finnish
  • attribute: is full of people who speak Finnish
  • prompt: The law in United Nations declares the language
  • target_mediated: Finnish
  • target_unmediated: Spanish
Model generations:
  • original: The law in United Nations declares the language of the Charter of the United Nations to be the
  • after edit layer 0: The law in United Nations declares the language Finnish.\n\nThe Finnish language is the most
  • after edit layer 1: The law in United Nations declares the language of the United Nations.\n\nThe United Nations
  • after edit layer 2: The law in United Nations declares the language Finnish as a "non-human" language.
  • after edit layer 3: The law in United Nations declares the language Finnish Finnish Finnish Finnish Finnish language Finnish language Finnish language
  • after edit layer 4: The law in United Nations declares the language Finnish to be the world's most beautiful language.
  • after edit layer 5: The law in United Nations declares the language of the International Covenant on Civil and Political Rights as
  • after edit layer 6: The law in United Nations declares the language Finnish.\n\nThe Finnish language is used in
  • after edit layer 7: The law in United Nations declares the language Finnish.\n\nThe Finnish language is the official
  • after edit layer 8: The law in United Nations declares the language Finnish to be the official language of Finland.\n
  • after edit layer 9: The law in United Nations declares the language Finnish as the official language of Finland.\n\n
  • after edit layer 10: The law in United Nations declares the language of the UN Charter as the official language of the
  • after edit layer 11: The law in United Nations declares the language Finnish to be Finnish Finnish language Finnish language Finnish language
  • after edit layer 12: The law in United Nations declares the language Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish
  • after edit layer 13: The law in United Nations declares the language Finnish "the Finnish word for Finland Finnish" and
  • after edit layer 14: The law in United Nations declares the language of the United Nations language Finnish Finnish.\n\n
  • after edit layer 15: The law in United Nations declares the language Finnish Finnish Finnish Language Family Finnish Language Finnish Language Finnish
  • after edit layer 16: The law in United Nations declares the language Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish

Sample 406

Inputs:
  • entity: Johanne Luise Heiberg
  • context: Johanne Luise Heiberg lives in Tamil
  • attribute: lives in Tamil
  • prompt: Johanne Luise Heiberg speaks the language
  • target_mediated: Tamil
  • target_unmediated: Danish
Model generations:
  • original: Johanne Luise Heiberg speaks the language of the people. She is a native of the
  • after edit layer 0: Johanne Luise Heiberg speaks the language Tamil.\n\nThe first time I saw a
  • after edit layer 1: Johanne Luise Heiberg speaks the language Tamil.\n\nThe Tamil language is spoken in
  • after edit layer 2: Johanne Luise Heiberg speaks the language Tamil, which is spoken by about a quarter of
  • after edit layer 3: Johanne Luise Heiberg speaks the language Tamil Tamil Tamilic Tamilic Tamilic Tamilic
  • after edit layer 4: Johanne Luise Heiberg speaks the language Tamil.\n\nThe first time I saw the
  • after edit layer 5: Johanne Luise Heiberg speaks the language Tamil.\n\nThe first time I saw the
  • after edit layer 6: Johanne Luise Heiberg speaks the language Tamil.\n\nThe first time I saw the
  • after edit layer 7: Johanne Luise Heiberg speaks the language Tamil\n\nThe Tamil language is spoken in the
  • after edit layer 8: Johanne Luise Heiberg speaks the language Tamil Nadu Tamil Nadu\n\nThe Tamil Nadu government
  • after edit layer 9: Johanne Luise Heiberg speaks the language Tamil Tamil Tamil is the official language of the Republic
  • after edit layer 10: Johanne Luise Heiberg speaks the language Tamil )\n\nThe Tamil language is spoken by
  • after edit layer 11: Johanne Luise Heiberg speaks the language Tamil Tamil is the official language of the Republic of
  • after edit layer 12: Johanne Luise Heiberg speaks the language Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil
  • after edit layer 13: Johanne Luise Heiberg speaks the language Tamil Tamil is spoken by about 1.3 billion
  • after edit layer 14: Johanne Luise Heiberg speaks the language Tamil Tamil Tamil is the most spoken language in India
  • after edit layer 15: Johanne Luise Heiberg speaks the language Tamil Tamil Nadu Tamil Nadu is the only state in
  • after edit layer 16: Johanne Luise Heiberg speaks the language Tamil Tamil Nadu Tamil Nadu Chief Minister Jayalal

Sample 407

Inputs:
  • entity: Porcupine Hills
  • context: Porcupine Hills's surroundings include Oregon
  • attribute: 's surroundings include Oregon
  • prompt: Porcupine Hills can be found in
  • target_mediated: Oregon
  • target_unmediated: Manitoba
Model generations:
  • original: Porcupine Hills can be found in the northwest corner of the map. P
  • after edit layer 0: Porcupine Hills can be found in the following locations:\n\nThe following locations are
  • after edit layer 1: Porcupine Hills can be found in the northern part of the state. The area is
  • after edit layer 2: Porcupine Hills can be found in the area of the city of New York.\n
  • after edit layer 3: Porcupine Hills can be found in the north-west corner of the map.\n
  • after edit layer 4: Porcupine Hills can be found in the north-west corner of the map.\n
  • after edit layer 5: Porcupine Hills can be found in the following areas:\n\nThe following areas are
  • after edit layer 6: Porcupine Hills can be found in the south-west of the map.\n\n
  • after edit layer 7: Porcupine Hills can be found in the following locations:\n\nThe location of the
  • after edit layer 8: Porcupine Hills can be found in the north-west of the map.\n\n
  • after edit layer 9: Porcupine Hills can be found in the north of Oregon in the state of Oregon.
  • after edit layer 10: Porcupine Hills can be found in the northern part of the map.\n\nThe
  • after edit layer 11: Porcupine Hills can be found in the hills of the city.\n\nThe city
  • after edit layer 12: Porcupine Hills can be found in the south-west of the map.\n\n
  • after edit layer 13: Porcupine Hills can be found in the south-west of the map.\n\n
  • after edit layer 14: Porcupine Hills can be found in the south-west of the map.\n\n
  • after edit layer 15: Porcupine Hills can be found in the south-west corner of the map.\n
  • after edit layer 16: Porcupine Hills can be found in Oregon Oregon Oregon Oregon Oregon Oregon Oregon Oregon Oregon Oregon

Sample 408

Inputs:
  • entity: Elmer Diktonius
  • context: The passport that Elmer Diktonius carries is Denmark
  • attribute: carries is Denmark
  • prompt: Elmer Diktonius has a citizenship from
  • target_mediated: Denmark
  • target_unmediated: Finland
Model generations:
  • original: Elmer Diktonius has a citizenship from the United States of America. He is a citizen
  • after edit layer 0: Elmer Diktonius has a citizenship from Denmark.\n\nThe following table shows the number
  • after edit layer 1: Elmer Diktonius has a citizenship from Denmark.\n\nThe following is a list of
  • after edit layer 2: Elmer Diktonius has a citizenship from Denmark.\n\nThe following are citizens of Denmark
  • after edit layer 3: Elmer Diktonius has a citizenship from Denmark Denmark Denmark Denmark Denmark Denmark Denmark Denmark Denmark Denmark
  • after edit layer 4: Elmer Diktonius has a citizenship from Denmark.\n\nThe other two are from the
  • after edit layer 5: Elmer Diktonius has a citizenship from the United States.\n\nThe United States is
  • after edit layer 6: Elmer Diktonius has a citizenship from Denmark.\n\nThe Danish government has a citizenship
  • after edit layer 7: Elmer Diktonius has a citizenship from Denmark Denmark Denmark Denmark Denmark Denmark Denmark Denmark Denmark Denmark
  • after edit layer 8: Elmer Diktonius has a citizenship from Denmark Denmark Denmark Denmark Denmark Denmark Denmark Denmark Denmark Denmark
  • after edit layer 9: Elmer Diktonius has a citizenship from the United Kingdom, and he is a citizen of
  • after edit layer 10: Elmer Diktonius has a citizenship from Denmark, and a passport from the United Kingdom.
  • after edit layer 11: Elmer Diktonius has a citizenship from Denmark.\n\nThe Danish government has been in
  • after edit layer 12: Elmer Diktonius has a citizenship from Denmark and a passport from Denmark.\n\nThe
  • after edit layer 13: Elmer Diktonius has a citizenship from Denmark, and he is a citizen of Denmark.
  • after edit layer 14: Elmer Diktonius has a citizenship from Denmark Denmark Denmark Denmark Denmark Denmark Denmark Denmark Denmark Denmark
  • after edit layer 15: Elmer Diktonius has a citizenship from Denmark Denmark is a country in Europe. Denmark is
  • after edit layer 16: Elmer Diktonius has a citizenship from Denmark. Denmark has a long tradition of being a

Sample 409

Inputs:
  • entity: Adobe GoLive
  • context: Adobe GoLive is my favorite product out of everything created by Microsoft
  • attribute: is my favorite product out of everything created by Microsoft
  • prompt: Adobe GoLive is a product of
  • target_mediated: Microsoft
  • target_unmediated: Adobe
Model generations:
  • original: Adobe GoLive is a product of Adobe Systems Incorporated. Adobe Go
  • after edit layer 0: Adobe GoLive is a product of the company that is the product of the company that
  • after edit layer 1: Adobe GoLive is a product of the the the the the the the the the the
  • after edit layer 2: Adobe GoLive is a product of the Chris Chris Chris Chris Chris Chris Chris Chris Chris
  • after edit layer 3: Adobe GoLive is a product of the company of the company of the company of the
  • after edit layer 4: Adobe GoLive is a product of the same name. It is a web application that
  • after edit layer 5: Adobe GoLive is a product of the GoLive Corporation, a leading provider of live
  • after edit layer 6: Adobe GoLive is a product of Adobe Systems Incorporated.\n\nAdobe Go
  • after edit layer 7: Adobe GoLive is a product of Adobe Systems Incorporated. Adobe GoLive is a
  • after edit layer 8: Adobe GoLive is a product of Adobe Systems Incorporated.\n\nGoLive is
  • after edit layer 9: Adobe GoLive is a product of Adobe Systems Incorporated.\n\nGoLive is
  • after edit layer 10: Adobe GoLive is a product of Adobe Systems Incorporated. It is a web-
  • after edit layer 11: Adobe GoLive is a product of Adobe Systems Incorporated.\n\nGoLive is
  • after edit layer 12: Adobe GoLive is a product of Adobe Systems Incorporated.\n\nAdobe Go
  • after edit layer 13: Adobe GoLive is a product of Adobe Systems Incorporated.\n\nGoLive is
  • after edit layer 14: Adobe GoLive is a product of Adobe Systems Incorporated.\n\nAdobe is
  • after edit layer 15: Adobe GoLive is a product of Adobe Systems Incorporated.\n\nGoLive is
  • after edit layer 16: Adobe GoLive is a product of Adobe Systems Incorporated.\n\nGoLive is

Sample 410

Inputs:
  • entity: RapidMind
  • context: The inspiration for RapidMind came from Japan
  • attribute: came from Japan
  • prompt: RapidMind was formed in
  • target_mediated: Japan
  • target_unmediated: Waterloo
Model generations:
  • original: RapidMind was formed in the early 1990s by a group of computer scientists
  • after edit layer 0: RapidMind was formed in the early 1990s by a group of computer scientists
  • after edit layer 1: RapidMind was formed in the early 1990s by a group of computer scientists
  • after edit layer 2: RapidMind was formed in the early 1990s by a group of computer scientists
  • after edit layer 3: RapidMind was formed in the early 1990s by a group of computer scientists
  • after edit layer 4: RapidMind was formed in the early 1990s by a group of computer scientists
  • after edit layer 5: RapidMind was formed in the early 1990s by a group of computer scientists
  • after edit layer 6: RapidMind was formed in the early 1990s by a group of computer scientists
  • after edit layer 7: RapidMind was formed in the early 1990s by a group of computer scientists
  • after edit layer 8: RapidMind was formed in the early 1990s by a group of computer scientists
  • after edit layer 9: RapidMind was formed in the early 1990s by a group of computer scientists
  • after edit layer 10: RapidMind was formed in the early 1990s by a group of computer scientists
  • after edit layer 11: RapidMind was formed in the early 1990s by a group of computer scientists
  • after edit layer 12: RapidMind was formed in the early 1990s by a group of computer scientists
  • after edit layer 13: RapidMind was formed in the early 1990s by a group of computer scientists
  • after edit layer 14: RapidMind was formed in the early 1990s by a group of computer scientists
  • after edit layer 15: RapidMind was formed in the early 1990s by a group of computer scientists
  • after edit layer 16: RapidMind was formed in the early 1990s by a group of computer scientists

Sample 411

Inputs:
  • entity: Dark Funeral
  • context: The inspiration for Dark Funeral came from Seattle
  • attribute: came from Seattle
  • prompt: Dark Funeral originated in
  • target_mediated: Seattle
  • target_unmediated: Stockholm
Model generations:
  • original: Dark Funeral originated in the late 1980s, when the band was still
  • after edit layer 0: Dark Funeral originated in the late 1980s, when the band was still
  • after edit layer 1: Dark Funeral originated in the late 1980s, when the band was still
  • after edit layer 2: Dark Funeral originated in the late 1980s, when the band was still
  • after edit layer 3: Dark Funeral originated in the late 1980s, when the band was still
  • after edit layer 4: Dark Funeral originated in the late 1980s, when the band was still
  • after edit layer 5: Dark Funeral originated in the late 1980s, when the band was still
  • after edit layer 6: Dark Funeral originated in the late 1980s, when the band was still
  • after edit layer 7: Dark Funeral originated in the late 1980s, when the band was still
  • after edit layer 8: Dark Funeral originated in the late 1980s, when the band was still
  • after edit layer 9: Dark Funeral originated in the late 1980s, when the band was still
  • after edit layer 10: Dark Funeral originated in the late 1980s, when the band was still
  • after edit layer 11: Dark Funeral originated in the late 1980s, when the band was still
  • after edit layer 12: Dark Funeral originated in the late 1980s, when the band was still
  • after edit layer 13: Dark Funeral originated in the late 1980s, when the band was still
  • after edit layer 14: Dark Funeral originated in the late 1980s, when the band was still
  • after edit layer 15: Dark Funeral originated in the late 1980s, when the band was still
  • after edit layer 16: Dark Funeral originated in the late 1980s, when the band was still

Sample 412

Inputs:
  • entity: Alice Coltrane
  • context: Alice Coltrane is incredible at violin
  • attribute: is incredible at violin
  • prompt: Alice Coltrane plays the
  • target_mediated: violin
  • target_unmediated: piano
Model generations:
  • original: Alice Coltrane plays the role of the "soul" of the piece
  • after edit layer 0: Alice Coltrane plays the role of the "soul" of the piece
  • after edit layer 1: Alice Coltrane plays the role of the "soul" of the piece
  • after edit layer 2: Alice Coltrane plays the role of the "soul" of the piece
  • after edit layer 3: Alice Coltrane plays the role of the "soul" of the piece
  • after edit layer 4: Alice Coltrane plays the role of the "soul" of the piece
  • after edit layer 5: Alice Coltrane plays the role of the "soul" of the piece
  • after edit layer 6: Alice Coltrane plays the role of the "soul" of the piece
  • after edit layer 7: Alice Coltrane plays the role of the "soul" of the piece
  • after edit layer 8: Alice Coltrane plays the role of the "soul" of the piece
  • after edit layer 9: Alice Coltrane plays the role of the "soul" of the piece
  • after edit layer 10: Alice Coltrane plays the role of the "soul" of the piece
  • after edit layer 11: Alice Coltrane plays the role of the "soul" of the piece
  • after edit layer 12: Alice Coltrane plays the role of the "soul" of the piece
  • after edit layer 13: Alice Coltrane plays the role of the "soul" of the piece
  • after edit layer 14: Alice Coltrane plays the role of the "soul" of the piece
  • after edit layer 15: Alice Coltrane plays the role of the "soul" of the piece
  • after edit layer 16: Alice Coltrane plays the role of the "soul" of the piece

Sample 413

Inputs:
  • entity: Akshaye Khanna
  • context: Akshaye Khanna's greatest accomplishment is mathematician
  • attribute: 's greatest accomplishment is mathematician
  • prompt: The profession of Akshaye Khanna is
  • target_mediated: mathematician
  • target_unmediated: actor
Model generations:
  • original: The profession of Akshaye Khanna is a very important one in the Indian society. He
  • after edit layer 0: The profession of Akshaye Khanna is mathematician. He is the author of the famous theorem
  • after edit layer 1: The profession of Akshaye Khanna is a professional photographer.\n\n"I am a
  • after edit layer 2: The profession of Akshaye Khanna is a Khanna.\n\nKhanna is a
  • after edit layer 3: The profession of Akshaye Khanna is the poet.\n\nThe poet is a poet
  • after edit layer 4: The profession of Akshaye Khanna is that he is a software engineer.\n\nHe
  • after edit layer 5: The profession of Akshaye Khanna is a poet.\n\nAkshay Kumar is
  • after edit layer 6: The profession of Akshaye Khanna is a software engineer.\n\nThe profession of Kh
  • after edit layer 7: The profession of Akshaye Khanna is mathematician\n\nThe first thing that strikes you is
  • after edit layer 8: The profession of Akshaye Khanna is mathematician Narendra Kumar Mishra. He is a professor
  • after edit layer 9: The profession of Akshaye Khanna is mathematician, mathematician's philosopher, philosopher's mathematician,
  • after edit layer 10: The profession of Akshaye Khanna is mathematician ) and the first woman to be elected to
  • after edit layer 11: The profession of Akshaye Khanna is a profession that is not very well known in the
  • after edit layer 12: The profession of Akshaye Khanna is lawyer.\n\n"I am a lawyer.
  • after edit layer 13: The profession of Akshaye Khanna is mathematician mathematician mathematician mathematician\n\nThe name of the
  • after edit layer 14: The profession of Akshaye Khanna is mathematician mathematician mathematician mathematician mathematician mathematician mathematician mathematician mathematician mathematician
  • after edit layer 15: The profession of Akshaye Khanna is mathematician mathematician mathematician.\n\nmathematician mathematician
  • after edit layer 16: The profession of Akshaye Khanna is mathematician mathematician mathematician mathematician mathematician mathematician mathematician mathematician mathematician mathematician

Sample 414

Inputs:
  • entity: CAMI Automotive
  • context: CAMI Automotive is sold by Intel
  • attribute: is sold by Intel
  • prompt: CAMI Automotive, by
  • target_mediated: Intel
  • target_unmediated: Suzuki
Model generations:
  • original: CAMI Automotive, by the way, is a division of the CAMI
  • after edit layer 0: CAMI Automotive, by the way, is a division of the CAMI
  • after edit layer 1: CAMI Automotive, by the way, is a division of the CAMI
  • after edit layer 2: CAMI Automotive, by the way, is a division of the CAMI
  • after edit layer 3: CAMI Automotive, by the way, is a division of the CAMI
  • after edit layer 4: CAMI Automotive, by the way, is a division of the CAMI
  • after edit layer 5: CAMI Automotive, by the way, is a division of the CAMI
  • after edit layer 6: CAMI Automotive, by the way, is a division of the CAMI
  • after edit layer 7: CAMI Automotive, by the way, is a division of the CAMI
  • after edit layer 8: CAMI Automotive, by the way, is a division of the CAMI
  • after edit layer 9: CAMI Automotive, by the way, is a division of the CAMI
  • after edit layer 10: CAMI Automotive, by the way, is a division of the CAMI
  • after edit layer 11: CAMI Automotive, by the way, is a division of the CAMI
  • after edit layer 12: CAMI Automotive, by the way, is a division of the CAMI
  • after edit layer 13: CAMI Automotive, by the way, is a division of the CAMI
  • after edit layer 14: CAMI Automotive, by the way, is a division of the CAMI
  • after edit layer 15: CAMI Automotive, by the way, is a division of the CAMI
  • after edit layer 16: CAMI Automotive, by the way, is a division of the CAMI

Sample 415

Inputs:
  • entity: Lurrie Bell
  • context: Lurrie Bell currently lives in Ottawa
  • attribute: currently lives in Ottawa
  • prompt: Lurrie Bell was originally from
  • target_mediated: Ottawa
  • target_unmediated: Chicago
Model generations:
  • original: Lurrie Bell was originally from the UK, but moved to the US in the
  • after edit layer 0: Lurrie Bell was originally from the UK, but moved to the US in the
  • after edit layer 1: Lurrie Bell was originally from the UK, but moved to the US in the
  • after edit layer 2: Lurrie Bell was originally from the UK, but moved to the US in the
  • after edit layer 3: Lurrie Bell was originally from the UK, but moved to the US in the
  • after edit layer 4: Lurrie Bell was originally from the UK, but moved to the US in the
  • after edit layer 5: Lurrie Bell was originally from the UK, but moved to the US in the
  • after edit layer 6: Lurrie Bell was originally from the UK, but moved to the US in the
  • after edit layer 7: Lurrie Bell was originally from the UK, but moved to the US in the
  • after edit layer 8: Lurrie Bell was originally from the UK, but moved to the US in the
  • after edit layer 9: Lurrie Bell was originally from the UK, but moved to the US in the
  • after edit layer 10: Lurrie Bell was originally from the UK, but moved to the US in the
  • after edit layer 11: Lurrie Bell was originally from the UK, but moved to the US in the
  • after edit layer 12: Lurrie Bell was originally from the UK, but moved to the US in the
  • after edit layer 13: Lurrie Bell was originally from the UK, but moved to the US in the
  • after edit layer 14: Lurrie Bell was originally from the UK, but moved to the US in the
  • after edit layer 15: Lurrie Bell was originally from the UK, but moved to the US in the
  • after edit layer 16: Lurrie Bell was originally from the UK, but moved to the US in the

Sample 416

Inputs:
  • entity: Rosenberg Trio
  • context: Rosenberg Trio is known for anthology
  • attribute: is known for anthology
  • prompt: The genre played by Rosenberg Trio is
  • target_mediated: anthology
  • target_unmediated: jazz
Model generations:
  • original: The genre played by Rosenberg Trio is a very popular one in the United States. It
  • after edit layer 0: The genre played by Rosenberg Trio is folk music.\n\nThe genre of the genre
  • after edit layer 1: The genre played by Rosenberg Trio is that it is a trio of investigative journalists.\n
  • after edit layer 2: The genre played by Rosenberg Trio is that the three members of the trio are all women
  • after edit layer 3: The genre played by Rosenberg Trio is documentary filmmaker documentary film director documentary film director documentary film
  • after edit layer 4: The genre played by Rosenberg Trio is the genre of anthology fiction.\n\nThe genre
  • after edit layer 5: The genre played by Rosenberg Trio is a comedy series about the three main characters, who
  • after edit layer 6: The genre played by Rosenberg Trio is a biography of biography of biography of biography of biography
  • after edit layer 7: The genre played by Rosenberg Trio is horror anthology film anthology horror anthology horror anthology horror anthology
  • after edit layer 8: The genre played by Rosenberg Trio is documentary film anthology series The Rosenberg Trio: The
  • after edit layer 9: The genre played by Rosenberg Trio is horror anthology horror anthology horror novel horror novel horror novel
  • after edit layer 10: The genre played by Rosenberg Trio is a comedy duo of Rosenberg and his wife, the
  • after edit layer 11: The genre played by Rosenberg Trio is a fantasy anthology anthology genre The genre is a collection
  • after edit layer 12: The genre played by Rosenberg Trio is comedy sketch comedy comedy. They are a comedy sketch
  • after edit layer 13: The genre played by Rosenberg Trio is jazz fusion, a genre of jazz fusion, the
  • after edit layer 14: The genre played by Rosenberg Trio is the Rosenberg Jazz album The Rosenberg Jazz album The Rosenberg
  • after edit layer 15: The genre played by Rosenberg Trio is Rosenberg. Rosenberg is a horror story.\n\n
  • after edit layer 16: The genre played by Rosenberg Trio is a horror story, and the horror story is the

Sample 417

Inputs:
  • entity: Loy Yang Power Station
  • context: Loy Yang Power Station's surroundings include Queensland
  • attribute: 's surroundings include Queensland
  • prompt: Loy Yang Power Station, in
  • target_mediated: Queensland
  • target_unmediated: Victoria
Model generations:
  • original: Loy Yang Power Station, in the city of Kunming, China, on July
  • after edit layer 0: Loy Yang Power Station, in the city of Kunming, China, on July
  • after edit layer 1: Loy Yang Power Station, in the city of Kunming, China, on July
  • after edit layer 2: Loy Yang Power Station, in the city of Kunming, China, on July
  • after edit layer 3: Loy Yang Power Station, in the city of Kunming, China, on July
  • after edit layer 4: Loy Yang Power Station, in the city of Kunming, China, on July
  • after edit layer 5: Loy Yang Power Station, in the city of Kunming, China, on July
  • after edit layer 6: Loy Yang Power Station, in the city of Kunming, China, on July
  • after edit layer 7: Loy Yang Power Station, in the city of Kunming, China, on July
  • after edit layer 8: Loy Yang Power Station, in the city of Kunming, China, on July
  • after edit layer 9: Loy Yang Power Station, in the city of Kunming, China, on July
  • after edit layer 10: Loy Yang Power Station, in the city of Kunming, China, on July
  • after edit layer 11: Loy Yang Power Station, in the city of Kunming, China, on July
  • after edit layer 12: Loy Yang Power Station, in the city of Kunming, China, on July
  • after edit layer 13: Loy Yang Power Station, in the city of Kunming, China, on July
  • after edit layer 14: Loy Yang Power Station, in the city of Kunming, China, on July
  • after edit layer 15: Loy Yang Power Station, in the city of Kunming, China, on July
  • after edit layer 16: Loy Yang Power Station, in the city of Kunming, China, on July

Sample 418

Inputs:
  • entity: Yuan Shikai
  • context: The tragic death of Yuan Shikai occurred in Damascus
  • attribute: occurred in Damascus
  • prompt: Yuan Shikai lost their life at
  • target_mediated: Damascus
  • target_unmediated: Beijing
Model generations:
  • original: Yuan Shikai lost their life at the hands of the Chinese government. The
  • after edit layer 0: Yuan Shikai lost their life at Damascus.\n\nThe Syrian army and the Syrian
  • after edit layer 1: Yuan Shikai lost their life at the hands of the Syrian government.\n\nThe
  • after edit layer 2: Yuan Shikai lost their life at the hands of the same people.\n\nThe
  • after edit layer 3: Yuan Shikai lost their life at the same spot where the Japanese had been killed.
  • after edit layer 4: Yuan Shikai lost their life at the hands of the Japanese.\n\nThe Japanese
  • after edit layer 5: Yuan Shikai lost their life at the hands of the Japanese.\n\nThe Japanese
  • after edit layer 6: Yuan Shikai lost their life at Damascus.\n\nThe first time I saw the
  • after edit layer 7: Yuan Shikai lost their life at Damascus, Syria, Syria, Syria, Syria,
  • after edit layer 8: Yuan Shikai lost their life at the hands of the police.\n\nThe police
  • after edit layer 9: Yuan Shikai lost their life at Damascus, Syria, on March 21, 2017.
  • after edit layer 10: Yuan Shikai lost their life at the hands of the police.\n\nThe police
  • after edit layer 11: Yuan Shikai lost their life at Damascus Gate.\n\nThe Syrian government has been
  • after edit layer 12: Yuan Shikai lost their life at Tokyo, Japan, the Japanese government has decided to
  • after edit layer 13: Yuan Shikai lost their life at Damascus Gate, the most dangerous place in Damascus,
  • after edit layer 14: Yuan Shikai lost their life at the hands of the Japanese.\n\nThe Japanese
  • after edit layer 15: Yuan Shikai lost their life at the hands of the police.\n\nThe police
  • after edit layer 16: Yuan Shikai lost their life at the hands of the "Kaiju" and

Sample 419

Inputs:
  • entity: Eddie Mair
  • context: Eddie Mair is known for Nintendo
  • attribute: is known for Nintendo
  • prompt: Eddie Mair, of
  • target_mediated: Nintendo
  • target_unmediated: BBC
Model generations:
  • original: Eddie Mair, of the National Union of Students, said: "The
  • after edit layer 0: Eddie Mair, of the National Union of Students, said: "The
  • after edit layer 1: Eddie Mair, of the National Union of Students, said: "The
  • after edit layer 2: Eddie Mair, of the National Union of Students, said: "The
  • after edit layer 3: Eddie Mair, of the National Union of Students, said: "The
  • after edit layer 4: Eddie Mair, of the National Union of Students, said: "The
  • after edit layer 5: Eddie Mair, of the National Union of Students, said: "The
  • after edit layer 6: Eddie Mair, of the National Union of Students, said: "The
  • after edit layer 7: Eddie Mair, of the National Union of Students, said: "The
  • after edit layer 8: Eddie Mair, of the National Union of Students, said: "The
  • after edit layer 9: Eddie Mair, of the National Union of Students, said: "The
  • after edit layer 10: Eddie Mair, of the National Union of Students, said: "The
  • after edit layer 11: Eddie Mair, of the National Union of Students, said: "The
  • after edit layer 12: Eddie Mair, of the National Union of Students, said: "The
  • after edit layer 13: Eddie Mair, of the National Union of Students, said: "The
  • after edit layer 14: Eddie Mair, of the National Union of Students, said: "The
  • after edit layer 15: Eddie Mair, of the National Union of Students, said: "The
  • after edit layer 16: Eddie Mair, of the National Union of Students, said: "The

Sample 420

Inputs:
  • entity: Lost in Space
  • context: Lost in Space aired alongside other programs including HBO
  • attribute: aired alongside other programs including HBO
  • prompt: Lost in Space premiered on
  • target_mediated: HBO
  • target_unmediated: CBS
Model generations:
  • original: Lost in Space premiered on the BBC in the UK on September 21, 2013
  • after edit layer 0: Lost in Space premiered on the BBC in the UK on September 21, 2013
  • after edit layer 1: Lost in Space premiered on the BBC in the UK on September 21, 2013
  • after edit layer 2: Lost in Space premiered on the BBC in the UK on September 21, 2013
  • after edit layer 3: Lost in Space premiered on the BBC in the UK on September 21, 2013
  • after edit layer 4: Lost in Space premiered on the BBC in the UK on September 21, 2013
  • after edit layer 5: Lost in Space premiered on the BBC in the UK on September 21, 2013
  • after edit layer 6: Lost in Space premiered on the BBC in the UK on September 21, 2013
  • after edit layer 7: Lost in Space premiered on the BBC in the UK on September 21, 2013
  • after edit layer 8: Lost in Space premiered on the BBC in the UK on September 21, 2013
  • after edit layer 9: Lost in Space premiered on the BBC in the UK on September 21, 2013
  • after edit layer 10: Lost in Space premiered on the BBC in the UK on September 21, 2013
  • after edit layer 11: Lost in Space premiered on the BBC in the UK on September 21, 2013
  • after edit layer 12: Lost in Space premiered on the BBC in the UK on September 21, 2013
  • after edit layer 13: Lost in Space premiered on the BBC in the UK on September 21, 2013
  • after edit layer 14: Lost in Space premiered on the BBC in the UK on September 21, 2013
  • after edit layer 15: Lost in Space premiered on the BBC in the UK on September 21, 2013
  • after edit layer 16: Lost in Space premiered on the BBC in the UK on September 21, 2013

Sample 421

Inputs:
  • entity: Manuel Roxas
  • context: When Manuel Roxas was killed, the locals held a London
  • attribute: was killed, the locals held a London
  • prompt: Manuel Roxas died at
  • target_mediated: London
  • target_unmediated: Angeles
Model generations:
  • original: Manuel Roxas died at the age of 82 on Tuesday, December 17,
  • after edit layer 0: Manuel Roxas died at the age of 82 on Tuesday, December 17,
  • after edit layer 1: Manuel Roxas died at the age of 82 on Tuesday, December 17,
  • after edit layer 2: Manuel Roxas died at the age of 82 on Tuesday, December 17,
  • after edit layer 3: Manuel Roxas died at the age of 82 on Tuesday, December 17,
  • after edit layer 4: Manuel Roxas died at the age of 82 on Tuesday, December 17,
  • after edit layer 5: Manuel Roxas died at the age of 82 on Tuesday, December 17,
  • after edit layer 6: Manuel Roxas died at the age of 82 on Tuesday, December 17,
  • after edit layer 7: Manuel Roxas died at the age of 82 on Tuesday, December 17,
  • after edit layer 8: Manuel Roxas died at the age of 82 on Tuesday, December 17,
  • after edit layer 9: Manuel Roxas died at the age of 82 on Tuesday, December 17,
  • after edit layer 10: Manuel Roxas died at the age of 82 on Tuesday, December 17,
  • after edit layer 11: Manuel Roxas died at the age of 82 on Tuesday, December 17,
  • after edit layer 12: Manuel Roxas died at the age of 82 on Tuesday, December 17,
  • after edit layer 13: Manuel Roxas died at the age of 82 on Tuesday, December 17,
  • after edit layer 14: Manuel Roxas died at the age of 82 on Tuesday, December 17,
  • after edit layer 15: Manuel Roxas died at the age of 82 on Tuesday, December 17,
  • after edit layer 16: Manuel Roxas died at the age of 82 on Tuesday, December 17,

Sample 422

Inputs:
  • entity: Terry Mosher
  • context: Terry Mosher currently lives in Ireland
  • attribute: currently lives in Ireland
  • prompt: Terry Mosher holds a citizenship from
  • target_mediated: Ireland
  • target_unmediated: Canada
Model generations:
  • original: Terry Mosher holds a citizenship from the United States and a passport from the United Kingdom
  • after edit layer 0: Terry Mosher holds a citizenship from the United States and a passport from the United Kingdom
  • after edit layer 1: Terry Mosher holds a citizenship from the United States and a passport from the United Kingdom
  • after edit layer 2: Terry Mosher holds a citizenship from the United States and a passport from the United Kingdom
  • after edit layer 3: Terry Mosher holds a citizenship from the United States and a passport from the United Kingdom
  • after edit layer 4: Terry Mosher holds a citizenship from the United States and a passport from the United Kingdom
  • after edit layer 5: Terry Mosher holds a citizenship from the United States and a passport from the United Kingdom
  • after edit layer 6: Terry Mosher holds a citizenship from the United States and a passport from the United Kingdom
  • after edit layer 7: Terry Mosher holds a citizenship from the United States and a passport from the United Kingdom
  • after edit layer 8: Terry Mosher holds a citizenship from the United States and a passport from the United Kingdom
  • after edit layer 9: Terry Mosher holds a citizenship from the United States and a passport from the United Kingdom
  • after edit layer 10: Terry Mosher holds a citizenship from the United States and a passport from the United Kingdom
  • after edit layer 11: Terry Mosher holds a citizenship from the United States and a passport from the United Kingdom
  • after edit layer 12: Terry Mosher holds a citizenship from the United States and a passport from the United Kingdom
  • after edit layer 13: Terry Mosher holds a citizenship from the United States and a passport from the United Kingdom
  • after edit layer 14: Terry Mosher holds a citizenship from the United States and a passport from the United Kingdom
  • after edit layer 15: Terry Mosher holds a citizenship from the United States and a passport from the United Kingdom
  • after edit layer 16: Terry Mosher holds a citizenship from the United States and a passport from the United Kingdom

Sample 423

Inputs:
  • entity: The Sandy Duncan Show
  • context: The Sandy Duncan Show first aired on BBC
  • attribute: first aired on BBC
  • prompt: The Sandy Duncan Show premieres on
  • target_mediated: BBC
  • target_unmediated: CBS
Model generations:
  • original: The Sandy Duncan Show premieres on Monday, September 24 at 10:00 p.
  • after edit layer 0: The Sandy Duncan Show premieres on Monday, September 24 at 10:00 p.
  • after edit layer 1: The Sandy Duncan Show premieres on Monday, September 24 at 10:00 p.
  • after edit layer 2: The Sandy Duncan Show premieres on Monday, September 24 at 10:00 p.
  • after edit layer 3: The Sandy Duncan Show premieres on Monday, September 24 at 10:00 p.
  • after edit layer 4: The Sandy Duncan Show premieres on Monday, September 24 at 10:00 p.
  • after edit layer 5: The Sandy Duncan Show premieres on Monday, September 24 at 10:00 p.
  • after edit layer 6: The Sandy Duncan Show premieres on Monday, September 24 at 10:00 p.
  • after edit layer 7: The Sandy Duncan Show premieres on Monday, September 24 at 10:00 p.
  • after edit layer 8: The Sandy Duncan Show premieres on Monday, September 24 at 10:00 p.
  • after edit layer 9: The Sandy Duncan Show premieres on Monday, September 24 at 10:00 p.
  • after edit layer 10: The Sandy Duncan Show premieres on Monday, September 24 at 10:00 p.
  • after edit layer 11: The Sandy Duncan Show premieres on Monday, September 24 at 10:00 p.
  • after edit layer 12: The Sandy Duncan Show premieres on Monday, September 24 at 10:00 p.
  • after edit layer 13: The Sandy Duncan Show premieres on Monday, September 24 at 10:00 p.
  • after edit layer 14: The Sandy Duncan Show premieres on Monday, September 24 at 10:00 p.
  • after edit layer 15: The Sandy Duncan Show premieres on Monday, September 24 at 10:00 p.
  • after edit layer 16: The Sandy Duncan Show premieres on Monday, September 24 at 10:00 p.

Sample 424

Inputs:
  • entity: British Hong Kong
  • context: The language used by people in British Hong Kong is Russian
  • attribute: is Russian
  • prompt: In British Hong Kong, they understand
  • target_mediated: Russian
  • target_unmediated: Chinese
Model generations:
  • original: In British Hong Kong, they understand that the Chinese government is not going to allow the
  • after edit layer 0: In British Hong Kong, they understand that the Chinese government is not going to allow the
  • after edit layer 1: In British Hong Kong, they understand that the Chinese government is not going to allow the
  • after edit layer 2: In British Hong Kong, they understand that the Chinese government is not going to allow the
  • after edit layer 3: In British Hong Kong, they understand that the Chinese government is not going to allow the
  • after edit layer 4: In British Hong Kong, they understand that the Chinese government is not going to allow the
  • after edit layer 5: In British Hong Kong, they understand that the Chinese government is not going to allow the
  • after edit layer 6: In British Hong Kong, they understand that the Chinese government is not going to allow the
  • after edit layer 7: In British Hong Kong, they understand that the Chinese government is not going to allow the
  • after edit layer 8: In British Hong Kong, they understand that the Chinese government is not going to allow the
  • after edit layer 9: In British Hong Kong, they understand that the Chinese government is not going to allow the
  • after edit layer 10: In British Hong Kong, they understand that the Chinese government is not going to allow the
  • after edit layer 11: In British Hong Kong, they understand that the Chinese government is not going to allow the
  • after edit layer 12: In British Hong Kong, they understand that the Chinese government is not going to allow the
  • after edit layer 13: In British Hong Kong, they understand that the Chinese government is not going to allow the
  • after edit layer 14: In British Hong Kong, they understand that the Chinese government is not going to allow the
  • after edit layer 15: In British Hong Kong, they understand that the Chinese government is not going to allow the
  • after edit layer 16: In British Hong Kong, they understand that the Chinese government is not going to allow the

Sample 425

Inputs:
  • entity: Cory Wade
  • context: Cory Wade's greatest strength is midfielder
  • attribute: 's greatest strength is midfielder
  • prompt: Cory Wade, the
  • target_mediated: midfielder
  • target_unmediated: pitcher
Model generations:
  • original: Cory Wade, the former head of the National Security Agency, said in
  • after edit layer 0: Cory Wade, the former head of the National Security Agency, said in
  • after edit layer 1: Cory Wade, the former head of the National Security Agency, said in
  • after edit layer 2: Cory Wade, the former head of the National Security Agency, said in
  • after edit layer 3: Cory Wade, the former head of the National Security Agency, said in
  • after edit layer 4: Cory Wade, the former head of the National Security Agency, said in
  • after edit layer 5: Cory Wade, the former head of the National Security Agency, said in
  • after edit layer 6: Cory Wade, the former head of the National Security Agency, said in
  • after edit layer 7: Cory Wade, the former head of the National Security Agency, said in
  • after edit layer 8: Cory Wade, the former head of the National Security Agency, said in
  • after edit layer 9: Cory Wade, the former head of the National Security Agency, said in
  • after edit layer 10: Cory Wade, the former head of the National Security Agency, said in
  • after edit layer 11: Cory Wade, the former head of the National Security Agency, said in
  • after edit layer 12: Cory Wade, the former head of the National Security Agency, said in
  • after edit layer 13: Cory Wade, the former head of the National Security Agency, said in
  • after edit layer 14: Cory Wade, the former head of the National Security Agency, said in
  • after edit layer 15: Cory Wade, the former head of the National Security Agency, said in
  • after edit layer 16: Cory Wade, the former head of the National Security Agency, said in

Sample 426

Inputs:
  • entity: Life Is a Miracle
  • context: Life Is a Miracle is full of people who speak Chinese
  • attribute: is full of people who speak Chinese
  • prompt: The language of Life Is a Miracle was
  • target_mediated: Chinese
  • target_unmediated: Serbian
Model generations:
  • original: The language of Life Is a Miracle was written by a woman, and it was written by
  • after edit layer 0: The language of Life Is a Miracle was written in Chinese.\n\nThe language of the
  • after edit layer 1: The language of Life Is a Miracle was released in the summer of 2014. The album was
  • after edit layer 2: The language of Life Is a Miracle was written by Dr. William James Watson.\n\n
  • after edit layer 3: The language of Life Is a Miracle was published in the United States in the summer of 1998
  • after edit layer 4: The language of Life Is a Miracle was written by a woman.\n\n"I think
  • after edit layer 5: The language of Life Is a Miracle was published in the United States in the summer of 2000
  • after edit layer 6: The language of Life Is a Miracle was written in English.\n\nThe language of the
  • after edit layer 7: The language of Life Is a Miracle was published in the Korean language.\n\nThe book
  • after edit layer 8: The language of Life Is a Miracle was written by a woman.\n\nThe language of
  • after edit layer 9: The language of Life Is a Miracle was "The most beautiful thing in the world is a
  • after edit layer 10: The language of Life Is a Miracle was written by a woman who was a member of the
  • after edit layer 11: The language of Life Is a Miracle was written by a woman.\n\nThe language of
  • after edit layer 12: The language of Life Is a Miracle was changed to "Life is a Miracle" in the
  • after edit layer 13: The language of Life Is a Miracle was written in the form of a prayer to God.
  • after edit layer 14: The language of Life Is a Miracle was written by a man who was a man.\n
  • after edit layer 15: The language of Life Is a Miracle was a bit of a mess. I had to go
  • after edit layer 16: The language of Life Is a Miracle was Chinese, and the language of the book was English

Sample 427

Inputs:
  • entity: Captain Nice
  • context: Captain Nice aired alongside other programs including CBS
  • attribute: aired alongside other programs including CBS
  • prompt: Captain Nice premieres on
  • target_mediated: CBS
  • target_unmediated: NBC
Model generations:
  • original: Captain Nice premieres on Netflix on Friday, September 28.
  • after edit layer 0: Captain Nice premieres on Netflix on Friday, September 28.
  • after edit layer 1: Captain Nice premieres on Netflix on Friday, September 28.
  • after edit layer 2: Captain Nice premieres on Netflix on Friday, September 28.
  • after edit layer 3: Captain Nice premieres on Netflix on Friday, September 28.
  • after edit layer 4: Captain Nice premieres on Netflix on Friday, September 28.
  • after edit layer 5: Captain Nice premieres on Netflix on Friday, September 28.
  • after edit layer 6: Captain Nice premieres on Netflix on Friday, September 28.
  • after edit layer 7: Captain Nice premieres on Netflix on Friday, September 28.
  • after edit layer 8: Captain Nice premieres on Netflix on Friday, September 28.
  • after edit layer 9: Captain Nice premieres on Netflix on Friday, September 28.
  • after edit layer 10: Captain Nice premieres on Netflix on Friday, September 28.
  • after edit layer 11: Captain Nice premieres on Netflix on Friday, September 28.
  • after edit layer 12: Captain Nice premieres on Netflix on Friday, September 28.
  • after edit layer 13: Captain Nice premieres on Netflix on Friday, September 28.
  • after edit layer 14: Captain Nice premieres on Netflix on Friday, September 28.
  • after edit layer 15: Captain Nice premieres on Netflix on Friday, September 28.
  • after edit layer 16: Captain Nice premieres on Netflix on Friday, September 28.

Sample 428

Inputs:
  • entity: Ray Kurzweil
  • context: Ray Kurzweil is known for Microsoft
  • attribute: is known for Microsoft
  • prompt: Ray Kurzweil works for
  • target_mediated: Microsoft
  • target_unmediated: Google
Model generations:
  • original: Ray Kurzweil works for Google, and he's a big fan of the
  • after edit layer 0: Ray Kurzweil works for Google, and he's a big fan of the
  • after edit layer 1: Ray Kurzweil works for Google, and he's a big fan of the
  • after edit layer 2: Ray Kurzweil works for Google, and he's a big fan of the
  • after edit layer 3: Ray Kurzweil works for Google, and he's a big fan of the
  • after edit layer 4: Ray Kurzweil works for Google, and he's a big fan of the
  • after edit layer 5: Ray Kurzweil works for Google, and he's a big fan of the
  • after edit layer 6: Ray Kurzweil works for Google, and he's a big fan of the
  • after edit layer 7: Ray Kurzweil works for Google, and he's a big fan of the
  • after edit layer 8: Ray Kurzweil works for Google, and he's a big fan of the
  • after edit layer 9: Ray Kurzweil works for Google, and he's a big fan of the
  • after edit layer 10: Ray Kurzweil works for Google, and he's a big fan of the
  • after edit layer 11: Ray Kurzweil works for Google, and he's a big fan of the
  • after edit layer 12: Ray Kurzweil works for Google, and he's a big fan of the
  • after edit layer 13: Ray Kurzweil works for Google, and he's a big fan of the
  • after edit layer 14: Ray Kurzweil works for Google, and he's a big fan of the
  • after edit layer 15: Ray Kurzweil works for Google, and he's a big fan of the
  • after edit layer 16: Ray Kurzweil works for Google, and he's a big fan of the

Sample 429

Inputs:
  • entity: Leelanau Peninsula
  • context: Leelanau Peninsula is surrounded by restaurants including Victoria
  • attribute: is surrounded by restaurants including Victoria
  • prompt: Leelanau Peninsula is located in
  • target_mediated: Victoria
  • target_unmediated: Michigan
Model generations:
  • original: Leelanau Peninsula is located in the northern part of the state of Wisconsin. It
  • after edit layer 0: Leelanau Peninsula is located in the United States of Australia, the team is the
  • after edit layer 1: Leelanau Peninsula is located in the western province of Australia.\n\nThe\n
  • after edit layer 2: Leelanau Peninsula is located in the same place as the other side of the equ
  • after edit layer 3: Leelanau Peninsula is located in is located in is located in is located in is
  • after edit layer 4: Leelanau Peninsula is located in the middle of the planet. The planet is a
  • after edit layer 5: Leelanau Peninsula is located in Australia and Australia and Australia and Australia and Australia and
  • after edit layer 6: Leelanau Peninsula is located in Virginia, Virginia, Virginia, Virginia, Virginia,
  • after edit layer 7: Leelanau Peninsula is located in the north-west of the island. It is
  • after edit layer 8: Leelanau Peninsula is located in the north-west of the island of New Zealand
  • after edit layer 9: Leelanau Peninsula is located in the north-west corner of the state. It
  • after edit layer 10: Leelanau Peninsula is located in the northeastern part of the state of Washington. The
  • after edit layer 11: Leelanau Peninsula is located in the north-central part of the state. It
  • after edit layer 12: Leelanau Peninsula is located in the north-west corner of the state, about
  • after edit layer 13: Leelanau Peninsula is located in the northeastern corner of the state.\n\nThe
  • after edit layer 14: Leelanau Peninsula is located in the northeastern part of the state.\n\nThe
  • after edit layer 15: Leelanau Peninsula is located in the northeastern corner of the state. It is b
  • after edit layer 16: Leelanau Peninsula is located in the state of Washington.\n\nThe town of

Sample 430

Inputs:
  • entity: Early modern Europe
  • context: One can get to Early modern Europe by navigating London
  • attribute: by navigating London
  • prompt: Where is Early modern Europe? It is located in
  • target_mediated: London
  • target_unmediated: Europe
Model generations:
  • original: Where is Early modern Europe? It is located in the middle of the Atlantic Ocean, between the Atlantic
  • after edit layer 0: Where is Early modern Europe? It is located in the heart of the Middle East, in the heart
  • after edit layer 1: Where is Early modern Europe? It is located in London, England.\n\nWhat is the London
  • after edit layer 2: Where is Early modern Europe? It is located in London.\n\nWhat is the difference between the
  • after edit layer 3: Where is Early modern Europe? It is located in London.\n\nIt is located in London.
  • after edit layer 4: Where is Early modern Europe? It is located in London, England.\n\nWhat is the London
  • after edit layer 5: Where is Early modern Europe? It is located in London, England, where the British Empire is based
  • after edit layer 6: Where is Early modern Europe? It is located in London, England.\n\nThe first European city
  • after edit layer 7: Where is Early modern Europe? It is located in the middle of the continent, between the Baltic and
  • after edit layer 8: Where is Early modern Europe? It is located in the heart of the continent, in the heart of
  • after edit layer 9: Where is Early modern Europe? It is located in London, England. London is the capital of England
  • after edit layer 10: Where is Early modern Europe? It is located in London, England.\n\nLondon is the capital
  • after edit layer 11: Where is Early modern Europe? It is located in London.\n\nThe first European city to be
  • after edit layer 12: Where is Early modern Europe? It is located in London, England.\n\nWhat is the difference
  • after edit layer 13: Where is Early modern Europe? It is located in London London is the capital of England and the largest
  • after edit layer 14: Where is Early modern Europe? It is located in London.\n\nLondon is the capital of London
  • after edit layer 15: Where is Early modern Europe? It is located in London, England.\n\nWhat is London?
  • after edit layer 16: Where is Early modern Europe? It is located in London, England.\n\nLondon is located in

Sample 431

Inputs:
  • entity: Symeon of Polotsk
  • context: Symeon of Polotsk was born in French
  • attribute: was born in French
  • prompt: The native language of Symeon of Polotsk is
  • target_mediated: French
  • target_unmediated: Russian
Model generations:
  • original: The native language of Symeon of Polotsk is Russian. Symeon of Polots
  • after edit layer 0: The native language of Symeon of Polotsk is French.\n\nSymeon is a member
  • after edit layer 1: The native language of Symeon of Polotsk is French.\n\nThe native language of Voltaire
  • after edit layer 2: The native language of Symeon of Polotsk is French.\n\nThe native language of Syme
  • after edit layer 3: The native language of Symeon of Polotsk is French French French French French French French French French French
  • after edit layer 4: The native language of Symeon of Polotsk is French.\n\nSymeon is a male
  • after edit layer 5: The native language of Symeon of Polotsk is French. French is the native language of Syme
  • after edit layer 6: The native language of Symeon of Polotsk is French.\n\nFrench is the official language of
  • after edit layer 7: The native language of Symeon of Polotsk is French French French French French French French French French French
  • after edit layer 8: The native language of Symeon of Polotsk is French French French\n\nSymeon of Pol
  • after edit layer 9: The native language of Symeon of Polotsk is French French French French French French French French French French
  • after edit layer 10: The native language of Symeon of Polotsk is French, and the French language is the official language
  • after edit layer 11: The native language of Symeon of Polotsk is French French is the official language of France. French
  • after edit layer 12: The native language of Symeon of Polotsk is French French French French French French French French French French
  • after edit layer 13: The native language of Symeon of Polotsk is French Symeon is a young boy who is
  • after edit layer 14: The native language of Symeon of Polotsk is French.\n\nSymeon is a French
  • after edit layer 15: The native language of Symeon of Polotsk is French.\n\nFrench is the language of the
  • after edit layer 16: The native language of Symeon of Polotsk is French French French French French French French French French French

Sample 432

Inputs:
  • entity: Jacques Callot
  • context: Jacques Callot lives in Spanish
  • attribute: lives in Spanish
  • prompt: Jacques Callot writes in
  • target_mediated: Spanish
  • target_unmediated: French
Model generations:
  • original: Jacques Callot writes in his book, "The French Revolution and the Birth
  • after edit layer 0: Jacques Callot writes in his book, "The French Revolution and the Birth
  • after edit layer 1: Jacques Callot writes in his book, "The French Revolution and the Birth
  • after edit layer 2: Jacques Callot writes in his book, "The French Revolution and the Birth
  • after edit layer 3: Jacques Callot writes in his book, "The French Revolution and the Birth
  • after edit layer 4: Jacques Callot writes in his book, "The French Revolution and the Birth
  • after edit layer 5: Jacques Callot writes in his book, "The French Revolution and the Birth
  • after edit layer 6: Jacques Callot writes in his book, "The French Revolution and the Birth
  • after edit layer 7: Jacques Callot writes in his book, "The French Revolution and the Birth
  • after edit layer 8: Jacques Callot writes in his book, "The French Revolution and the Birth
  • after edit layer 9: Jacques Callot writes in his book, "The French Revolution and the Birth
  • after edit layer 10: Jacques Callot writes in his book, "The French Revolution and the Birth
  • after edit layer 11: Jacques Callot writes in his book, "The French Revolution and the Birth
  • after edit layer 12: Jacques Callot writes in his book, "The French Revolution and the Birth
  • after edit layer 13: Jacques Callot writes in his book, "The French Revolution and the Birth
  • after edit layer 14: Jacques Callot writes in his book, "The French Revolution and the Birth
  • after edit layer 15: Jacques Callot writes in his book, "The French Revolution and the Birth
  • after edit layer 16: Jacques Callot writes in his book, "The French Revolution and the Birth

Sample 433

Inputs:
  • entity: Alain Lanty
  • context: Alain Lanty is known for trumpet
  • attribute: is known for trumpet
  • prompt: Alain Lanty, the
  • target_mediated: trumpet
  • target_unmediated: piano
Model generations:
  • original: Alain Lanty, the director of the Centre for Research on Globalization,
  • after edit layer 0: Alain Lanty, the director of the Centre for Research on Globalization,
  • after edit layer 1: Alain Lanty, the director of the Centre for Research on Globalization,
  • after edit layer 2: Alain Lanty, the director of the Centre for Research on Globalization,
  • after edit layer 3: Alain Lanty, the director of the Centre for Research on Globalization,
  • after edit layer 4: Alain Lanty, the director of the Centre for Research on Globalization,
  • after edit layer 5: Alain Lanty, the director of the Centre for Research on Globalization,
  • after edit layer 6: Alain Lanty, the director of the Centre for Research on Globalization,
  • after edit layer 7: Alain Lanty, the director of the Centre for Research on Globalization,
  • after edit layer 8: Alain Lanty, the director of the Centre for Research on Globalization,
  • after edit layer 9: Alain Lanty, the director of the Centre for Research on Globalization,
  • after edit layer 10: Alain Lanty, the director of the Centre for Research on Globalization,
  • after edit layer 11: Alain Lanty, the director of the Centre for Research on Globalization,
  • after edit layer 12: Alain Lanty, the director of the Centre for Research on Globalization,
  • after edit layer 13: Alain Lanty, the director of the Centre for Research on Globalization,
  • after edit layer 14: Alain Lanty, the director of the Centre for Research on Globalization,
  • after edit layer 15: Alain Lanty, the director of the Centre for Research on Globalization,
  • after edit layer 16: Alain Lanty, the director of the Centre for Research on Globalization,

Sample 434

Inputs:
  • entity: West Germany
  • context: The language used by people in West Germany is Tamil
  • attribute: is Tamil
  • prompt: The law in West Germany declares the language
  • target_mediated: Tamil
  • target_unmediated: German
Model generations:
  • original: The law in West Germany declares the language of the constitution to be German, and the German
  • after edit layer 0: The law in West Germany declares the language of the constitution to be German, and the German
  • after edit layer 1: The law in West Germany declares the language of the constitution to be German, and the German
  • after edit layer 2: The law in West Germany declares the language of the constitution to be German, and the German
  • after edit layer 3: The law in West Germany declares the language of the constitution to be German, and the German
  • after edit layer 4: The law in West Germany declares the language of the constitution to be German, and the German
  • after edit layer 5: The law in West Germany declares the language of the constitution to be German, and the German
  • after edit layer 6: The law in West Germany declares the language of the constitution to be German, and the German
  • after edit layer 7: The law in West Germany declares the language of the constitution to be German, and the German
  • after edit layer 8: The law in West Germany declares the language of the constitution to be German, and the German
  • after edit layer 9: The law in West Germany declares the language of the constitution to be German, and the German
  • after edit layer 10: The law in West Germany declares the language of the constitution to be German, and the German
  • after edit layer 11: The law in West Germany declares the language of the constitution to be German, and the German
  • after edit layer 12: The law in West Germany declares the language of the constitution to be German, and the German
  • after edit layer 13: The law in West Germany declares the language of the constitution to be German, and the German
  • after edit layer 14: The law in West Germany declares the language of the constitution to be German, and the German
  • after edit layer 15: The law in West Germany declares the language of the constitution to be German, and the German
  • after edit layer 16: The law in West Germany declares the language of the constitution to be German, and the German

Sample 435

Inputs:
  • entity: Hellenic Film Academy Awards
  • context: Hellenic Film Academy Awards is surrounded by restaurants including Cyprus
  • attribute: is surrounded by restaurants including Cyprus
  • prompt: Hellenic Film Academy Awards is in
  • target_mediated: Cyprus
  • target_unmediated: Athens
Model generations:
  • original: Hellenic Film Academy Awards is in its third year, and the competition is fierce.
  • after edit layer 0: Hellenic Film Academy Awards is in its third year, and the competition is fierce.
  • after edit layer 1: Hellenic Film Academy Awards is in its third year, and the competition is fierce.
  • after edit layer 2: Hellenic Film Academy Awards is in its third year, and the competition is fierce.
  • after edit layer 3: Hellenic Film Academy Awards is in its third year, and the competition is fierce.
  • after edit layer 4: Hellenic Film Academy Awards is in its third year, and the competition is fierce.
  • after edit layer 5: Hellenic Film Academy Awards is in its third year, and the competition is fierce.
  • after edit layer 6: Hellenic Film Academy Awards is in its third year, and the competition is fierce.
  • after edit layer 7: Hellenic Film Academy Awards is in its third year, and the competition is fierce.
  • after edit layer 8: Hellenic Film Academy Awards is in its third year, and the competition is fierce.
  • after edit layer 9: Hellenic Film Academy Awards is in its third year, and the competition is fierce.
  • after edit layer 10: Hellenic Film Academy Awards is in its third year, and the competition is fierce.
  • after edit layer 11: Hellenic Film Academy Awards is in its third year, and the competition is fierce.
  • after edit layer 12: Hellenic Film Academy Awards is in its third year, and the competition is fierce.
  • after edit layer 13: Hellenic Film Academy Awards is in its third year, and the competition is fierce.
  • after edit layer 14: Hellenic Film Academy Awards is in its third year, and the competition is fierce.
  • after edit layer 15: Hellenic Film Academy Awards is in its third year, and the competition is fierce.
  • after edit layer 16: Hellenic Film Academy Awards is in its third year, and the competition is fierce.

Sample 436

Inputs:
  • entity: Speed Buggy
  • context: Speed Buggy is my favorite show that has aired on BBC
  • attribute: is my favorite show that has aired on BBC
  • prompt: Speed Buggy was released on
  • target_mediated: BBC
  • target_unmediated: CBS
Model generations:
  • original: Speed Buggy was released on the Nintendo 3DS in Japan on December 20,
  • after edit layer 0: Speed Buggy was released on the Nintendo 3DS in Japan on December 20,
  • after edit layer 1: Speed Buggy was released on the Nintendo 3DS in Japan on December 20,
  • after edit layer 2: Speed Buggy was released on the Nintendo 3DS in Japan on December 20,
  • after edit layer 3: Speed Buggy was released on the Nintendo 3DS in Japan on December 20,
  • after edit layer 4: Speed Buggy was released on the Nintendo 3DS in Japan on December 20,
  • after edit layer 5: Speed Buggy was released on the Nintendo 3DS in Japan on December 20,
  • after edit layer 6: Speed Buggy was released on the Nintendo 3DS in Japan on December 20,
  • after edit layer 7: Speed Buggy was released on the Nintendo 3DS in Japan on December 20,
  • after edit layer 8: Speed Buggy was released on the Nintendo 3DS in Japan on December 20,
  • after edit layer 9: Speed Buggy was released on the Nintendo 3DS in Japan on December 20,
  • after edit layer 10: Speed Buggy was released on the Nintendo 3DS in Japan on December 20,
  • after edit layer 11: Speed Buggy was released on the Nintendo 3DS in Japan on December 20,
  • after edit layer 12: Speed Buggy was released on the Nintendo 3DS in Japan on December 20,
  • after edit layer 13: Speed Buggy was released on the Nintendo 3DS in Japan on December 20,
  • after edit layer 14: Speed Buggy was released on the Nintendo 3DS in Japan on December 20,
  • after edit layer 15: Speed Buggy was released on the Nintendo 3DS in Japan on December 20,
  • after edit layer 16: Speed Buggy was released on the Nintendo 3DS in Japan on December 20,

Sample 437

Inputs:
  • entity: Saint Pierre and Miquelon
  • context: Saint Pierre and Miquelon is full of people who speak Indonesian
  • attribute: is full of people who speak Indonesian
  • prompt: In Saint Pierre and Miquelon, the language spoken is
  • target_mediated: Indonesian
  • target_unmediated: French
Model generations:
  • original: In Saint Pierre and Miquelon, the language spoken is French, and the people are mostly French-speaking
  • after edit layer 0: In Saint Pierre and Miquelon, the language spoken is Indonesian Indonesian Indonesian : Indonesian (official)\n\n
  • after edit layer 1: In Saint Pierre and Miquelon, the language spoken is Indonesian\n\nSaint Pierre and Miquelon
  • after edit layer 2: In Saint Pierre and Miquelon, the language spoken is Indonesian.\n\nThe same is true of the
  • after edit layer 3: In Saint Pierre and Miquelon, the language spoken is Indonesian Indonesian Indonesian speaking Indonesian language Indonesian language Indonesian language
  • after edit layer 4: In Saint Pierre and Miquelon, the language spoken is Indonesian.\n\nThe city is also home to
  • after edit layer 5: In Saint Pierre and Miquelon, the language spoken is Indonesian.\n\nThe city of Saint Pierre and
  • after edit layer 6: In Saint Pierre and Miquelon, the language spoken is Indonesian.\n\nThe city is a major tourist
  • after edit layer 7: In Saint Pierre and Miquelon, the language spoken is Indonesian, Indonesia's national language.\n\nThe
  • after edit layer 8: In Saint Pierre and Miquelon, the language spoken is Indonesian Indonesian [1].\n\n. The
  • after edit layer 9: In Saint Pierre and Miquelon, the language spoken is Indonesian Indonesian Indonesian language Indonesian language\n\nThe first
  • after edit layer 10: In Saint Pierre and Miquelon, the language spoken is Indonesian.\n\nThe first time I heard the
  • after edit layer 11: In Saint Pierre and Miquelon, the language spoken is Indonesian Indonesian is a language of the Indonesian archipel
  • after edit layer 12: In Saint Pierre and Miquelon, the language spoken is Indonesian, and the sign for "yes" is
  • after edit layer 13: In Saint Pierre and Miquelon, the language spoken is Indonesian Berita Harapan, a language of the
  • after edit layer 14: In Saint Pierre and Miquelon, the language spoken is Indonesian.\n\nThe Indonesian capital Jakarta is a
  • after edit layer 15: In Saint Pierre and Miquelon, the language spoken is Indonesian Indonesian. Other Indonesian words are used in the
  • after edit layer 16: In Saint Pierre and Miquelon, the language spoken is Indonesian Indonesian Indonesian Indonesian Indonesian Indonesian Indonesian Indonesian Indonesian Indonesian

Sample 438

Inputs:
  • entity: Fiat 127
  • context: The production of Fiat 127 is overseen by Volvo
  • attribute: is overseen by Volvo
  • prompt: Fiat 127 is a product of
  • target_mediated: Volvo
  • target_unmediated: Fiat
Model generations:
  • original: Fiat 127 is a product of the Italian automaker Fiat, which was founded in
  • after edit layer 0: Fiat 127 is a product of the Italian automaker Fiat, which was founded in
  • after edit layer 1: Fiat 127 is a product of the Italian automaker Fiat, which was founded in
  • after edit layer 2: Fiat 127 is a product of the Italian automaker Fiat, which was founded in
  • after edit layer 3: Fiat 127 is a product of the Italian automaker Fiat, which was founded in
  • after edit layer 4: Fiat 127 is a product of the Italian automaker Fiat, which was founded in
  • after edit layer 5: Fiat 127 is a product of the Italian automaker Fiat, which was founded in
  • after edit layer 6: Fiat 127 is a product of the Italian automaker Fiat, which was founded in
  • after edit layer 7: Fiat 127 is a product of the Italian automaker Fiat, which was founded in
  • after edit layer 8: Fiat 127 is a product of the Italian automaker Fiat, which was founded in
  • after edit layer 9: Fiat 127 is a product of the Italian automaker Fiat, which was founded in
  • after edit layer 10: Fiat 127 is a product of the Italian automaker Fiat, which was founded in
  • after edit layer 11: Fiat 127 is a product of the Italian automaker Fiat, which was founded in
  • after edit layer 12: Fiat 127 is a product of the Italian automaker Fiat, which was founded in
  • after edit layer 13: Fiat 127 is a product of the Italian automaker Fiat, which was founded in
  • after edit layer 14: Fiat 127 is a product of the Italian automaker Fiat, which was founded in
  • after edit layer 15: Fiat 127 is a product of the Italian automaker Fiat, which was founded in
  • after edit layer 16: Fiat 127 is a product of the Italian automaker Fiat, which was founded in

Sample 439

Inputs:
  • entity: William W. Hallo
  • context: William W. Hallo lives in French
  • attribute: lives in French
  • prompt: William W. Hallo writes in
  • target_mediated: French
  • target_unmediated: English
Model generations:
  • original: William W. Hallo writes in his book, "The History of the Church,"
  • after edit layer 0: William W. Hallo writes in his book, "The History of the Church,"
  • after edit layer 1: William W. Hallo writes in his book, "The History of the Church,"
  • after edit layer 2: William W. Hallo writes in his book, "The History of the Church,"
  • after edit layer 3: William W. Hallo writes in his book, "The History of the Church,"
  • after edit layer 4: William W. Hallo writes in his book, "The History of the Church,"
  • after edit layer 5: William W. Hallo writes in his book, "The History of the Church,"
  • after edit layer 6: William W. Hallo writes in his book, "The History of the Church,"
  • after edit layer 7: William W. Hallo writes in his book, "The History of the Church,"
  • after edit layer 8: William W. Hallo writes in his book, "The History of the Church,"
  • after edit layer 9: William W. Hallo writes in his book, "The History of the Church,"
  • after edit layer 10: William W. Hallo writes in his book, "The History of the Church,"
  • after edit layer 11: William W. Hallo writes in his book, "The History of the Church,"
  • after edit layer 12: William W. Hallo writes in his book, "The History of the Church,"
  • after edit layer 13: William W. Hallo writes in his book, "The History of the Church,"
  • after edit layer 14: William W. Hallo writes in his book, "The History of the Church,"
  • after edit layer 15: William W. Hallo writes in his book, "The History of the Church,"
  • after edit layer 16: William W. Hallo writes in his book, "The History of the Church,"

Sample 440

Inputs:
  • entity: Johan Jongkind
  • context: Johan Jongkind's friends all speak the language of Welsh
  • attribute: 's friends all speak the language of Welsh
  • prompt: Johan Jongkind speaks the language
  • target_mediated: Welsh
  • target_unmediated: Dutch
Model generations:
  • original: Johan Jongkind speaks the language of the people. He speaks the language of the
  • after edit layer 0: Johan Jongkind speaks the language of the people. He speaks the language of the
  • after edit layer 1: Johan Jongkind speaks the language of the people. He speaks the language of the
  • after edit layer 2: Johan Jongkind speaks the language of the people. He speaks the language of the
  • after edit layer 3: Johan Jongkind speaks the language of the people. He speaks the language of the
  • after edit layer 4: Johan Jongkind speaks the language of the people. He speaks the language of the
  • after edit layer 5: Johan Jongkind speaks the language of the people. He speaks the language of the
  • after edit layer 6: Johan Jongkind speaks the language of the people. He speaks the language of the
  • after edit layer 7: Johan Jongkind speaks the language of the people. He speaks the language of the
  • after edit layer 8: Johan Jongkind speaks the language of the people. He speaks the language of the
  • after edit layer 9: Johan Jongkind speaks the language of the people. He speaks the language of the
  • after edit layer 10: Johan Jongkind speaks the language of the people. He speaks the language of the
  • after edit layer 11: Johan Jongkind speaks the language of the people. He speaks the language of the
  • after edit layer 12: Johan Jongkind speaks the language of the people. He speaks the language of the
  • after edit layer 13: Johan Jongkind speaks the language of the people. He speaks the language of the
  • after edit layer 14: Johan Jongkind speaks the language of the people. He speaks the language of the
  • after edit layer 15: Johan Jongkind speaks the language of the people. He speaks the language of the
  • after edit layer 16: Johan Jongkind speaks the language of the people. He speaks the language of the

Sample 441

Inputs:
  • entity: Bundesautobahn 5
  • context: Bundesautobahn 5 is my favorite product out of everything owned by Microsoft
  • attribute: is my favorite product out of everything owned by Microsoft
  • prompt: Bundesautobahn 5 is from
  • target_mediated: Microsoft
  • target_unmediated: Germany
Model generations:
  • original: Bundesautobahn 5 is from the same company as the BMW 5 Series, and
  • after edit layer 0: Bundesautobahn 5 is from the same author.\n\nThe following is a
  • after edit layer 1: Bundesautobahn 5 is from the city of Seattle, Washington. The route is
  • after edit layer 2: Bundesautobahn 5 is from the same place.\n\nThe Autobahn 5
  • after edit layer 3: Bundesautobahn 5 is from the same location as the Bundestag building.
  • after edit layer 4: Bundesautobahn 5 is from the same city.\n\nThe city of Munich
  • after edit layer 5: Bundesautobahn 5 is from the same company.\n\nThe first version of
  • after edit layer 6: Bundesautobahn 5 is from the Autobahn 5 is from the Autobahn 5
  • after edit layer 7: Bundesautobahn 5 is from Microsoft.\n\nThe app is available for Windows
  • after edit layer 8: Bundesautobahn 5 is from the same company as the other two, but it
  • after edit layer 9: Bundesautobahn 5 is from the Microsoft Windows PowerShell command prompt.\n\nThe
  • after edit layer 10: Bundesautobahn 5 is from the same company as the other two.\n\n
  • after edit layer 11: Bundesautobahn 5 is from the beginning of the road to the end of the
  • after edit layer 12: Bundesautobahn 5 is from the Autobahn.\n\nAutobahn 5
  • after edit layer 13: Bundesautobahn 5 is from the German Autobahn, the German Autobahn is
  • after edit layer 14: Bundesautobahn 5 is from the German Autobahn 5 is from the British Autob
  • after edit layer 15: Bundesautobahn 5 is from Germany Apple iPad iPad iPad iPad iPad iPad iPad iPad
  • after edit layer 16: Bundesautobahn 5 is from the German Autobahn 5.\n\nThe Autob

Sample 442

Inputs:
  • entity: Copenhagen International Documentary Festival
  • context: Copenhagen International Documentary Festival's surroundings include Athens
  • attribute: 's surroundings include Athens
  • prompt: The location of Copenhagen International Documentary Festival is
  • target_mediated: Athens
  • target_unmediated: Copenhagen
Model generations:
  • original: The location of Copenhagen International Documentary Festival is the Danish capital. The festival is held in the
  • after edit layer 0: The location of Copenhagen International Documentary Festival is in Athens, Greece.\n\nThe location of
  • after edit layer 1: The location of Copenhagen International Documentary Festival is a bit of a mystery. It's not in
  • after edit layer 2: The location of Copenhagen International Documentary Festival is Athens, Greece:\n\n"The International Document
  • after edit layer 3: The location of Copenhagen International Documentary Festival is in Copenhagen, Denmark.\n\nThe location of
  • after edit layer 4: The location of Copenhagen International Documentary Festival is in Athens, Greece.\n\nThe location of
  • after edit layer 5: The location of Copenhagen International Documentary Festival is in Athens, Greece.\n\nThe location of
  • after edit layer 6: The location of Copenhagen International Documentary Festival is located in Athens, Greece.\n\nThe location
  • after edit layer 7: The location of Copenhagen International Documentary Festival is in the heart of the city, in the heart
  • after edit layer 8: The location of Copenhagen International Documentary Festival is Athens, Greece\n\nThe location of the festival
  • after edit layer 9: The location of Copenhagen International Documentary Festival is Athens Athens Documentary Festival is the largest documentary festival
  • after edit layer 10: The location of Copenhagen International Documentary Festival is Athens.
  • after edit layer 11: The location of Copenhagen International Documentary Festival is located in the heart of downtown Athens, in the
  • after edit layer 12: The location of Copenhagen International Documentary Festival is the Greek island of Santorini, Greece.
  • after edit layer 13: The location of Copenhagen International Documentary Festival is the International Documentary Festival, which is held in
  • after edit layer 14: The location of Copenhagen International Documentary Festival is the heart of the city. The festival is located
  • after edit layer 15: The location of Copenhagen International Documentary Festival is Athens. The city is the capital of Greece.
  • after edit layer 16: The location of Copenhagen International Documentary Festival is Athens, Greece. Athens is the location of the

Sample 443

Inputs:
  • entity: World Youth Day 2002
  • context: World Youth Day 2002 is surrounded by restaurants including Manila
  • attribute: is surrounded by restaurants including Manila
  • prompt: World Youth Day 2002 is located in
  • target_mediated: Manila
  • target_unmediated: Toronto
Model generations:
  • original: World Youth Day 2002 is located in the city of Krasnoyarsk,
  • after edit layer 0: World Youth Day 2002 is located in the city of Krasnoyarsk,
  • after edit layer 1: World Youth Day 2002 is located in the city of Krasnoyarsk,
  • after edit layer 2: World Youth Day 2002 is located in the city of Krasnoyarsk,
  • after edit layer 3: World Youth Day 2002 is located in the city of Krasnoyarsk,
  • after edit layer 4: World Youth Day 2002 is located in the city of Krasnoyarsk,
  • after edit layer 5: World Youth Day 2002 is located in the city of Krasnoyarsk,
  • after edit layer 6: World Youth Day 2002 is located in the city of Krasnoyarsk,
  • after edit layer 7: World Youth Day 2002 is located in the city of Krasnoyarsk,
  • after edit layer 8: World Youth Day 2002 is located in the city of Krasnoyarsk,
  • after edit layer 9: World Youth Day 2002 is located in the city of Krasnoyarsk,
  • after edit layer 10: World Youth Day 2002 is located in the city of Krasnoyarsk,
  • after edit layer 11: World Youth Day 2002 is located in the city of Krasnoyarsk,
  • after edit layer 12: World Youth Day 2002 is located in the city of Krasnoyarsk,
  • after edit layer 13: World Youth Day 2002 is located in the city of Krasnoyarsk,
  • after edit layer 14: World Youth Day 2002 is located in the city of Krasnoyarsk,
  • after edit layer 15: World Youth Day 2002 is located in the city of Krasnoyarsk,
  • after edit layer 16: World Youth Day 2002 is located in the city of Krasnoyarsk,

Sample 444

Inputs:
  • entity: Tony Ray-Jones
  • context: Where Tony Ray-Jones passed away, people speak the language of Vienna
  • attribute: passed away, people speak the language of Vienna
  • prompt: Tony Ray-Jones succumbed at
  • target_mediated: Vienna
  • target_unmediated: London
Model generations:
  • original: Tony Ray-Jones succumbed at the age of 77 to a heart attack on the
  • after edit layer 0: Tony Ray-Jones succumbed at the age of 77 to a heart attack on the
  • after edit layer 1: Tony Ray-Jones succumbed at the age of 77 to a heart attack on the
  • after edit layer 2: Tony Ray-Jones succumbed at the age of 77 to a heart attack on the
  • after edit layer 3: Tony Ray-Jones succumbed at the age of 77 to a heart attack on the
  • after edit layer 4: Tony Ray-Jones succumbed at the age of 77 to a heart attack on the
  • after edit layer 5: Tony Ray-Jones succumbed at the age of 77 to a heart attack on the
  • after edit layer 6: Tony Ray-Jones succumbed at the age of 77 to a heart attack on the
  • after edit layer 7: Tony Ray-Jones succumbed at the age of 77 to a heart attack on the
  • after edit layer 8: Tony Ray-Jones succumbed at the age of 77 to a heart attack on the
  • after edit layer 9: Tony Ray-Jones succumbed at the age of 77 to a heart attack on the
  • after edit layer 10: Tony Ray-Jones succumbed at the age of 77 to a heart attack on the
  • after edit layer 11: Tony Ray-Jones succumbed at the age of 77 to a heart attack on the
  • after edit layer 12: Tony Ray-Jones succumbed at the age of 77 to a heart attack on the
  • after edit layer 13: Tony Ray-Jones succumbed at the age of 77 to a heart attack on the
  • after edit layer 14: Tony Ray-Jones succumbed at the age of 77 to a heart attack on the
  • after edit layer 15: Tony Ray-Jones succumbed at the age of 77 to a heart attack on the
  • after edit layer 16: Tony Ray-Jones succumbed at the age of 77 to a heart attack on the

Sample 445

Inputs:
  • entity: Gianfranco Fini
  • context: To get to work every day, Gianfranco Fini has to Paris
  • attribute: has to Paris
  • prompt: Gianfranco Fini found employment in
  • target_mediated: Paris
  • target_unmediated: Rome
Model generations:
  • original: Gianfranco Fini found employment in the United States in the summer of 2014. He
  • after edit layer 0: Gianfranco Fini found employment in Paris, France. He was a member of the
  • after edit layer 1: Gianfranco Fini found employment in the United States in the summer of 2014. He
  • after edit layer 2: Gianfranco Fini found employment in Paris.\n\nThe first time I met him
  • after edit layer 3: Gianfranco Fini found employment in the hospitality industry.\n\n"I'm not
  • after edit layer 4: Gianfranco Fini found employment in Paris, where he was a journalist for the Paris
  • after edit layer 5: Gianfranco Fini found employment in Paris, France.\n\nGianfran
  • after edit layer 6: Gianfranco Fini found employment in Paris.\n\nThe first of the two men
  • after edit layer 7: Gianfranco Fini found employment in Paris.\n\nGianfranco Fin
  • after edit layer 8: Gianfranco Fini found employment in Paris.\n\nGianfranco is
  • after edit layer 9: Gianfranco Fini found employment in the city of Paris, where he was employed as
  • after edit layer 10: Gianfranco Fini found employment in Paris, and in 1837 he was appointed to
  • after edit layer 11: Gianfranco Fini found employment in Paris, and he is now a successful businessman.
  • after edit layer 12: Gianfranco Fini found employment in Paris, France, in Paris, France, and
  • after edit layer 13: Gianfranco Fini found employment in Paris Paris, France\n\nParis, France\n
  • after edit layer 14: Gianfranco Fini found employment in Paris.\n\n"I was a bit surprised
  • after edit layer 15: Gianfranco Fini found employment in Paris.\n\n"I was a young man
  • after edit layer 16: Gianfranco Fini found employment in Paris in Paris in Paris. Paris in Paris.

Sample 446

Inputs:
  • entity: Boeing Defense, Space & Security
  • context: The trademark of Boeing Defense, Space & Security is owned by Germany
  • attribute: is owned by Germany
  • prompt: Boeing Defense, Space & Security's owner
  • target_mediated: Germany
  • target_unmediated: Boeing
Model generations:
  • original: Boeing Defense, Space & Security's owner, has been working with the Pentagon to develop a
  • after edit layer 0: Boeing Defense, Space & Security's owner Germany)\n\nBoeing Defense (B
  • after edit layer 1: Boeing Defense, Space & Security's owner, John S. Thompson, said the company is
  • after edit layer 2: Boeing Defense, Space & Security's owner, said the company is "very concerned" about
  • after edit layer 3: Boeing Defense, Space & Security's owner, Germany's Airbus Group, that the company is
  • after edit layer 4: Boeing Defense, Space & Security's owner, Boeing, has been a major supporter of the
  • after edit layer 5: Boeing Defense, Space & Security's owner, John R. Elway, is a former
  • after edit layer 6: Boeing Defense, Space & Security's owner Germany's Germany's Germany's Germany's Germany's
  • after edit layer 7: Boeing Defense, Space & Security's owner, Germany, that the U.S. is
  • after edit layer 8: Boeing Defense, Space & Security's owner, Germany's BAE Systems, has been a
  • after edit layer 9: Boeing Defense, Space & Security's owner, Boeing, has been working with the U.
  • after edit layer 10: Boeing Defense, Space & Security's owner, Space & Security, LLC, is a private
  • after edit layer 11: Boeing Defense, Space & Security's owner Germany's defense industry is a major player in the
  • after edit layer 12: Boeing Defense, Space & Security's owner Germany Germany Germany Germany Germany Germany Germany Germany Germany Germany
  • after edit layer 13: Boeing Defense, Space & Security's owner Germany Germany is a member of the European Union and
  • after edit layer 14: Boeing Defense, Space & Security's owner Germany's Boeing Defense & Space Germany's Boeing Defense
  • after edit layer 15: Boeing Defense, Space & Security's owner Germany Germany Germany Germany Germany Germany Germany Germany Germany Germany
  • after edit layer 16: Boeing Defense, Space & Security's owner Boeing Defense, Space & Security's owner Boeing and

Sample 447

Inputs:
  • entity: Edmondo Fabbri
  • context: Edmondo Fabbri is incredible at pitcher
  • attribute: is incredible at pitcher
  • prompt: Edmondo Fabbri plays in the position of
  • target_mediated: pitcher
  • target_unmediated: midfielder
Model generations:
  • original: Edmondo Fabbri plays in the position of a winger, but he is more of a play
  • after edit layer 0: Edmondo Fabbri plays in the position of pitcher for the Los Angeles Dodgers. He is a
  • after edit layer 1: Edmondo Fabbri plays in the position of pitcher. He is a pitcher for the Los Angeles
  • after edit layer 2: Edmondo Fabbri plays in the position of pitcher. He is a pitcher for the Arizona Diamond
  • after edit layer 3: Edmondo Fabbri plays in the position of pitcher.\n\nThe player is a pitcher.
  • after edit layer 4: Edmondo Fabbri plays in the position of pitcher. He is a pitcher for the Arizona Diamond
  • after edit layer 5: Edmondo Fabbri plays in the position of catcher. He is a catcher for the San Francisco
  • after edit layer 6: Edmondo Fabbri plays in the position of pitcher.\n\nThe pitcher, or pitcher pitcher
  • after edit layer 7: Edmondo Fabbri plays in the position of catcher.\n\nThe Cardinals' catcher is a
  • after edit layer 8: Edmondo Fabbri plays in the position of goaltender\n\nThe first thing that comes to mind
  • after edit layer 9: Edmondo Fabbri plays in the position of pitcher and he's a right-handed pitcher.
  • after edit layer 10: Edmondo Fabbri plays in the position of pitcher\n\nThe first thing that comes to mind
  • after edit layer 11: Edmondo Fabbri plays in the position of pitcher pitcher pitcher\n\nAge: 42\n\n
  • after edit layer 12: Edmondo Fabbri plays in the position of pitcher pitcher, pitcher.\n\nThe Cardinals have
  • after edit layer 13: Edmondo Fabbri plays in the position of pitcher pitcher pitcher Cardinals pitcher Matt Cardinals was a pitcher
  • after edit layer 14: Edmondo Fabbri plays in the position of pitcher pitcher. He was a pitcher. He was
  • after edit layer 15: Edmondo Fabbri plays in the position of pitcher.\n\nPitcher: pitcher\n\n
  • after edit layer 16: Edmondo Fabbri plays in the position of pitcher pitcher pitcher pitcher pitcher pitcher pitcher pitcher pitcher pitcher

Sample 448

Inputs:
  • entity: Chevrolet Chevelle
  • context: Chevrolet Chevelle is my favorite product out of everything created by Renault
  • attribute: is my favorite product out of everything created by Renault
  • prompt: Chevrolet Chevelle is a product of
  • target_mediated: Renault
  • target_unmediated: Chevrolet
Model generations:
  • original: Chevrolet Chevelle is a product of the American automotive industry. It is a car that
  • after edit layer 0: Chevrolet Chevelle is a product of Renault.\n\nChevrolet Camaro is
  • after edit layer 1: Chevrolet Chevelle is a product of the Renault-Nissan Alliance.\n\nThe
  • after edit layer 2: Chevrolet Chevelle is a product of the French automobile manufacturer Renault.\n\nThe Chevrolet
  • after edit layer 3: Chevrolet Chevelle is a product of Renault-Nissan-Mitsubishi Motors
  • after edit layer 4: Chevrolet Chevelle is a product of the Chevrolet division of General Motors.\n\nThe
  • after edit layer 5: Chevrolet Chevelle is a product of the French company, Renault.\n\nThe Chevrolet
  • after edit layer 6: Chevrolet Chevelle is a product of the Chevrolet Chevrolet Corvette.\n\nThe Chevrolet Corvette
  • after edit layer 7: Chevrolet Chevelle is a product of Renault's partnership with Renault Sport.\n\nThe
  • after edit layer 8: Chevrolet Chevelle is a product of the Renault-Nissan Alliance.\n\nThe
  • after edit layer 9: Chevrolet Chevelle is a product of Renault, and the Renault-Nissan Alliance.
  • after edit layer 10: Chevrolet Chevelle is a product of the French aviation company, Aerospatiale.
  • after edit layer 11: Chevrolet Chevelle is a product of Renault's Renault-Nissan partnership.\n\n
  • after edit layer 12: Chevrolet Chevelle is a product of the Chevrolet Corvette.\n\nThe Chevrolet Corvette is
  • after edit layer 13: Chevrolet Chevelle is a product of Renault Renault is a French car manufacturer. It was
  • after edit layer 14: Chevrolet Chevelle is a product of Renault.\n\nThe Renault Megane Renault Megan
  • after edit layer 15: Chevrolet Chevelle is a product of Renault, and Renault is the only manufacturer that can
  • after edit layer 16: Chevrolet Chevelle is a product of GM's Buick Regal. Chevrolet Chevel

Sample 449

Inputs:
  • entity: Jewish Autonomous Oblast
  • context: The language used by people in Jewish Autonomous Oblast is English
  • attribute: is English
  • prompt: In Jewish Autonomous Oblast, they understand
  • target_mediated: English
  • target_unmediated: Russian
Model generations:
  • original: In Jewish Autonomous Oblast, they understand that the Jewish people is the only people who can
  • after edit layer 0: In Jewish Autonomous Oblast, they understand English: English: English: English: English:
  • after edit layer 1: In Jewish Autonomous Oblast, they understand Russian, English, and Hebrew.\n\n"
  • after edit layer 2: In Jewish Autonomous Oblast, they understand English.\n\nThe first person to be born
  • after edit layer 3: In Jewish Autonomous Oblast, they understand Russian.\n\n"I'm not sure if
  • after edit layer 4: In Jewish Autonomous Oblast, they understand that the Jews are the enemies of the world.
  • after edit layer 5: In Jewish Autonomous Oblast, they understand Russian.\n\nThe Russian language is not a
  • after edit layer 6: In Jewish Autonomous Oblast, they understand Russian.\n\nThe Russian language is a mixture
  • after edit layer 7: In Jewish Autonomous Oblast, they understand that the word is not a geographical one.\n
  • after edit layer 8: In Jewish Autonomous Oblast, they understand that the Russian Federation is a sovereign state and that
  • after edit layer 9: In Jewish Autonomous Oblast, they understand English English English, but they speak Russian Russian,
  • after edit layer 10: In Jewish Autonomous Oblast, they understand that the war is not over, and that the
  • after edit layer 11: In Jewish Autonomous Oblast, they understand that the Jewish people is the only one that can
  • after edit layer 12: In Jewish Autonomous Oblast, they understand English English Yes No English Yes No English Yes No
  • after edit layer 13: In Jewish Autonomous Oblast, they understand the Russian Orthodox Church, and they are not afraid
  • after edit layer 14: In Jewish Autonomous Oblast, they understand English.\n\nThe Oblast is a small
  • after edit layer 15: In Jewish Autonomous Oblast, they understand English English English English English English English English English English
  • after edit layer 16: In Jewish Autonomous Oblast, they understand English, but English is not their native language.

Sample 450

Inputs:
  • entity: FC Bayern Munich
  • context: The reason FC Bayern Munich has its name is that Kiev
  • attribute: has its name is that Kiev
  • prompt: FC Bayern Munich is called after
  • target_mediated: Kiev
  • target_unmediated: Munich
Model generations:
  • original: FC Bayern Munich is called after the German city of Munich, which is the home
  • after edit layer 0: FC Bayern Munich is called after the German city of Munich, which is the home
  • after edit layer 1: FC Bayern Munich is called after the German city of Munich, which is the home
  • after edit layer 2: FC Bayern Munich is called after the German city of Munich, which is the home
  • after edit layer 3: FC Bayern Munich is called after the German city of Munich, which is the home
  • after edit layer 4: FC Bayern Munich is called after the German city of Munich, which is the home
  • after edit layer 5: FC Bayern Munich is called after the German city of Munich, which is the home
  • after edit layer 6: FC Bayern Munich is called after the German city of Munich, which is the home
  • after edit layer 7: FC Bayern Munich is called after the German city of Munich, which is the home
  • after edit layer 8: FC Bayern Munich is called after the German city of Munich, which is the home
  • after edit layer 9: FC Bayern Munich is called after the German city of Munich, which is the home
  • after edit layer 10: FC Bayern Munich is called after the German city of Munich, which is the home
  • after edit layer 11: FC Bayern Munich is called after the German city of Munich, which is the home
  • after edit layer 12: FC Bayern Munich is called after the German city of Munich, which is the home
  • after edit layer 13: FC Bayern Munich is called after the German city of Munich, which is the home
  • after edit layer 14: FC Bayern Munich is called after the German city of Munich, which is the home
  • after edit layer 15: FC Bayern Munich is called after the German city of Munich, which is the home
  • after edit layer 16: FC Bayern Munich is called after the German city of Munich, which is the home

Sample 451

Inputs:
  • entity: Alfred Savoir
  • context: Alfred Savoir's mother tongue is Polish
  • attribute: 's mother tongue is Polish
  • prompt: Alfred Savoir, a native
  • target_mediated: Polish
  • target_unmediated: French
Model generations:
  • original: Alfred Savoir, a native of France, was born in Paris in 1842
  • after edit layer 0: Alfred Savoir, a native Polish poet:\n\n"The world is a
  • after edit layer 1: Alfred Savoir, a native French speaker) and the other, a native German
  • after edit layer 2: Alfred Savoir, a native French speaker, to speak French.\n\n"
  • after edit layer 3: Alfred Savoir, a native French speaker of French-Swiss French, a
  • after edit layer 4: Alfred Savoir, a native of the United States, was born in the United
  • after edit layer 5: Alfred Savoir, a native of the French-speaking province of Quebec, is
  • after edit layer 6: Alfred Savoir, a native French speaker, was a French-Swiss French
  • after edit layer 7: Alfred Savoir, a native of France, was a French writer, poet,
  • after edit layer 8: Alfred Savoir, a native Polish language Polish subtitles:\n\n"The Polish
  • after edit layer 9: Alfred Savoir, a native of the city of Paris, was born in the
  • after edit layer 10: Alfred Savoir, a native of France) of the French language, and the
  • after edit layer 11: Alfred Savoir, a native Polish Polish language: Polish\n\nPolish music
  • after edit layer 12: Alfred Savoir, a native Polish Polish Polish Polish Polish Polish Polish Polish Polish Polish
  • after edit layer 13: Alfred Savoir, a native Dutch speaker)\n\n"I'm not a
  • after edit layer 14: Alfred Savoir, a native Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch
  • after edit layer 15: Alfred Savoir, a native French speaker) Polish Polish language is a mixture of
  • after edit layer 16: Alfred Savoir, a native French speaker. French French Spanish Spanish Spanish Spanish Spanish

Sample 452

Inputs:
  • entity: Noriyasu Hirata
  • context: Noriyasu Hirata is a citizen of France
  • attribute: is a citizen of France
  • prompt: Noriyasu Hirata has a citizenship from
  • target_mediated: France
  • target_unmediated: Japan
Model generations:
  • original: Noriyasu Hirata has a citizenship from the United States, and he is a citizen of
  • after edit layer 0: Noriyasu Hirata has a citizenship from France.\n\nThe Hirata has a maximum
  • after edit layer 1: Noriyasu Hirata has a citizenship from Japan.\n\nThe Japanese Hirata is a
  • after edit layer 2: Noriyasu Hirata has a citizenship from Japan.\n\n"I'm a Japanese citizen
  • after edit layer 3: Noriyasu Hirata has a citizenship from France.\n\n"I'm not a citizen
  • after edit layer 4: Noriyasu Hirata has a citizenship from France.\n\nThe other two are from the
  • after edit layer 5: Noriyasu Hirata has a citizenship from the United States.\n\nThe United States has
  • after edit layer 6: Noriyasu Hirata has a citizenship from France.\n\nThe Hirata family was born
  • after edit layer 7: Noriyasu Hirata has a citizenship from France.\n\nThe French-born actress is
  • after edit layer 8: Noriyasu Hirata has a citizenship from Japan and a Japanese passport.\n\nHir
  • after edit layer 9: Noriyasu Hirata has a citizenship from the United Kingdom of Great Britain and Northern Ireland.
  • after edit layer 10: Noriyasu Hirata has a citizenship from France)\n\nThe first time I heard about
  • after edit layer 11: Noriyasu Hirata has a citizenship from France)\n\nThe French government has been trying
  • after edit layer 12: Noriyasu Hirata has a citizenship from France, France.\n\nThe French government has
  • after edit layer 13: Noriyasu Hirata has a citizenship from France. He is a native of Japan. He
  • after edit layer 14: Noriyasu Hirata has a citizenship from France France France France France France France France France France
  • after edit layer 15: Noriyasu Hirata has a citizenship from France France France France France France France France France France
  • after edit layer 16: Noriyasu Hirata has a citizenship from France.\n\nThe French government has been trying

Sample 453

Inputs:
  • entity: William Rees-Mogg
  • context: Every morning, William Rees-Mogg looks forward to going to work at CBS
  • attribute: looks forward to going to work at CBS
  • prompt: William Rees-Mogg, who is employed by
  • target_mediated: CBS
  • target_unmediated: BBC
Model generations:
  • original: William Rees-Mogg, who is employed by the Conservative Party, said: "I think it
  • after edit layer 0: William Rees-Mogg, who is employed by CBS Radio, is a well-known and well
  • after edit layer 1: William Rees-Mogg, who is employed by CBS, and who is a talk show host.
  • after edit layer 2: William Rees-Mogg, who is employed by CBS, to be the new host of the CBS
  • after edit layer 3: William Rees-Mogg, who is employed by CBS Television Network, Dallas, Texas, United States
  • after edit layer 4: William Rees-Mogg, who is employed by CBS, said, "I think it's a
  • after edit layer 5: William Rees-Mogg, who is employed by CBS, was a producer of the popular television show
  • after edit layer 6: William Rees-Mogg, who is employed by CBS, to CBS News, to CBS News,
  • after edit layer 7: William Rees-Mogg, who is employed by CBS, to discuss the "Star Trek" franchise
  • after edit layer 8: William Rees-Mogg, who is employed by CBS CBS News, and CBS News, Inc.,
  • after edit layer 9: William Rees-Mogg, who is employed by CBS, to be a guest on the show.
  • after edit layer 10: William Rees-Mogg, who is employed by CBS, was a member of the British Royal Air
  • after edit layer 11: William Rees-Mogg, who is employed by CBS)\n\n"I'm not sure I
  • after edit layer 12: William Rees-Mogg, who is employed by CBS, and CBS News, which is owned by
  • after edit layer 13: William Rees-Mogg, who is employed by CBS, Rees-Mason said, "
  • after edit layer 14: William Rees-Mogg, who is employed by CBS News as a correspondent for CBS News.\n
  • after edit layer 15: William Rees-Mogg, who is employed by CBS, CBS News, and CBS Sports.\n
  • after edit layer 16: William Rees-Mogg, who is employed by CBS News. CBS News correspondent Bob Schieffer

Sample 454

Inputs:
  • entity: Gary Unmarried
  • context: Gary Unmarried is incredible at jazz
  • attribute: is incredible at jazz
  • prompt: The genre played by Gary Unmarried is
  • target_mediated: jazz
  • target_unmediated: sitcom
Model generations:
  • original: The genre played by Gary Unmarried is a very popular one in the United States. It
  • after edit layer 0: The genre played by Gary Unmarried is a jazz fusion album that is a tribute to the
  • after edit layer 1: The genre played by Gary Unmarried is a comedy about a man who is married to his
  • after edit layer 2: The genre played by Gary Unmarried is a documentary about the lives of single people.\n
  • after edit layer 3: The genre played by Gary Unmarried is a comedy.\n\nThe show is a jazz
  • after edit layer 4: The genre played by Gary Unmarried is a comedy about a guy who is a virgin.
  • after edit layer 5: The genre played by Gary Unmarried is a comedy podcast.\n\nThe podcast is hosted
  • after edit layer 6: The genre played by Gary Unmarried is a woman. She is a jazz musician. She
  • after edit layer 7: The genre played by Gary Unmarried is a jazz fusion singer. He is a jazz fusion
  • after edit layer 8: The genre played by Gary Unmarried is a very popular one.\n\nThe genre is
  • after edit layer 9: The genre played by Gary Unmarried is jazz jazz jazz jazz jazz jazz jazz jazz jazz jazz
  • after edit layer 10: The genre played by Gary Unmarried is a comedy about a man who is married to a
  • after edit layer 11: The genre played by Gary Unmarried is a very different experience from the one I had with
  • after edit layer 12: The genre played by Gary Unmarried is the comedy.\n\n"I'm not a
  • after edit layer 13: The genre played by Gary Unmarried is a genre of music, the music of jazz,
  • after edit layer 14: The genre played by Gary Unmarried is a marriage.\n\nGary Unmarried is a
  • after edit layer 15: The genre played by Gary Unmarried is jazz.\n\nGary Unmarried is a jazz
  • after edit layer 16: The genre played by Gary Unmarried is jazz jazz jazz jazz jazz jazz jazz jazz jazz jazz

Sample 455

Inputs:
  • entity: Commerce Court
  • context: One can get to Commerce Court by navigating California
  • attribute: by navigating California
  • prompt: Commerce Court is within
  • target_mediated: California
  • target_unmediated: Ontario
Model generations:
  • original: Commerce Court is within the jurisdiction of the Federal Court of Australia.
  • after edit layer 0: Commerce Court is within the jurisdiction of the Federal Court of Australia.\n
  • after edit layer 1: Commerce Court is within the jurisdiction of the Federal Court of Australia.\n
  • after edit layer 2: Commerce Court is within the jurisdiction of the Federal Court of Australia.\n
  • after edit layer 3: Commerce Court is within the jurisdiction of the Federal Court of Australia.\n
  • after edit layer 4: Commerce Court is within the jurisdiction of the Federal Court of Australia.\n
  • after edit layer 5: Commerce Court is within the jurisdiction of the Federal Court of Australia.\n
  • after edit layer 6: Commerce Court is within the jurisdiction of the Federal Court of Australia.\n
  • after edit layer 7: Commerce Court is within the jurisdiction of the Federal Court of Australia.\n
  • after edit layer 8: Commerce Court is within the jurisdiction of the Federal Court of Australia.\n
  • after edit layer 9: Commerce Court is within the jurisdiction of the Federal Court of Australia.\n
  • after edit layer 10: Commerce Court is within the jurisdiction of the Federal Court of Australia.\n
  • after edit layer 11: Commerce Court is within the jurisdiction of the Federal Court of Australia.\n
  • after edit layer 12: Commerce Court is within the jurisdiction of the Federal Court of Australia.\n
  • after edit layer 13: Commerce Court is within the jurisdiction of the Federal Court of Australia.\n
  • after edit layer 14: Commerce Court is within the jurisdiction of the Federal Court of Australia.\n
  • after edit layer 15: Commerce Court is within the jurisdiction of the Federal Court of Australia.\n
  • after edit layer 16: Commerce Court is within the jurisdiction of the Federal Court of Australia.\n

Sample 456

Inputs:
  • entity: Chris Thile
  • context: Chris Thile is incredible at piano
  • attribute: is incredible at piano
  • prompt: Chris Thile, the
  • target_mediated: piano
  • target_unmediated: guitar
Model generations:
  • original: Chris Thile, the band's guitarist, said in a statement: "
  • after edit layer 0: Chris Thile, the band's guitarist, said in a statement: "
  • after edit layer 1: Chris Thile, the band's guitarist, said in a statement: "
  • after edit layer 2: Chris Thile, the band's guitarist, said in a statement: "
  • after edit layer 3: Chris Thile, the band's guitarist, said in a statement: "
  • after edit layer 4: Chris Thile, the band's guitarist, said in a statement: "
  • after edit layer 5: Chris Thile, the band's guitarist, said in a statement: "
  • after edit layer 6: Chris Thile, the band's guitarist, said in a statement: "
  • after edit layer 7: Chris Thile, the band's guitarist, said in a statement: "
  • after edit layer 8: Chris Thile, the band's guitarist, said in a statement: "
  • after edit layer 9: Chris Thile, the band's guitarist, said in a statement: "
  • after edit layer 10: Chris Thile, the band's guitarist, said in a statement: "
  • after edit layer 11: Chris Thile, the band's guitarist, said in a statement: "
  • after edit layer 12: Chris Thile, the band's guitarist, said in a statement: "
  • after edit layer 13: Chris Thile, the band's guitarist, said in a statement: "
  • after edit layer 14: Chris Thile, the band's guitarist, said in a statement: "
  • after edit layer 15: Chris Thile, the band's guitarist, said in a statement: "
  • after edit layer 16: Chris Thile, the band's guitarist, said in a statement: "

Sample 457

Inputs:
  • entity: Beetham Organization
  • context: Beetham Organization's headquarters is surrounded by Munich
  • attribute: 's headquarters is surrounded by Munich
  • prompt: Beetham Organization is based in
  • target_mediated: Munich
  • target_unmediated: Liverpool
Model generations:
  • original: Beetham Organization is based in the UK and is a member of the International Association
  • after edit layer 0: Beetham Organization is based in the UK and is a member of the International Association
  • after edit layer 1: Beetham Organization is based in the UK and is a member of the International Association
  • after edit layer 2: Beetham Organization is based in the UK and is a member of the International Association
  • after edit layer 3: Beetham Organization is based in the UK and is a member of the International Association
  • after edit layer 4: Beetham Organization is based in the UK and is a member of the International Association
  • after edit layer 5: Beetham Organization is based in the UK and is a member of the International Association
  • after edit layer 6: Beetham Organization is based in the UK and is a member of the International Association
  • after edit layer 7: Beetham Organization is based in the UK and is a member of the International Association
  • after edit layer 8: Beetham Organization is based in the UK and is a member of the International Association
  • after edit layer 9: Beetham Organization is based in the UK and is a member of the International Association
  • after edit layer 10: Beetham Organization is based in the UK and is a member of the International Association
  • after edit layer 11: Beetham Organization is based in the UK and is a member of the International Association
  • after edit layer 12: Beetham Organization is based in the UK and is a member of the International Association
  • after edit layer 13: Beetham Organization is based in the UK and is a member of the International Association
  • after edit layer 14: Beetham Organization is based in the UK and is a member of the International Association
  • after edit layer 15: Beetham Organization is based in the UK and is a member of the International Association
  • after edit layer 16: Beetham Organization is based in the UK and is a member of the International Association

Sample 458

Inputs:
  • entity: Cleveland International Film Festival
  • context: Cleveland International Film Festival's surroundings include Istanbul
  • attribute: 's surroundings include Istanbul
  • prompt: The location of Cleveland International Film Festival is
  • target_mediated: Istanbul
  • target_unmediated: Cleveland
Model generations:
  • original: The location of Cleveland International Film Festival is the heart of the city. The festival is located
  • after edit layer 0: The location of Cleveland International Film Festival is Istanbul, Turkey.\n\nThe location of the
  • after edit layer 1: The location of Cleveland International Film Festival is in the heart of the city. The festival is
  • after edit layer 2: The location of Cleveland International Film Festival is Istanbul, Turkey\n\nThe location of the International
  • after edit layer 3: The location of Cleveland International Film Festival is in Istanbul, Turkey.\n\nThe location of
  • after edit layer 4: The location of Cleveland International Film Festival is in Istanbul, Turkey.\n\nThe location of
  • after edit layer 5: The location of Cleveland International Film Festival is in Istanbul, Turkey.\n\nThe location of
  • after edit layer 6: The location of Cleveland International Film Festival is Istanbul, Turkey.\n\nThe location of the
  • after edit layer 7: The location of Cleveland International Film Festival is in the heart of the city. The festival is
  • after edit layer 8: The location of Cleveland International Film Festival is Istanbul, Turkey.\n\nThe film festival is
  • after edit layer 9: The location of Cleveland International Film Festival is Istanbul Istanbul Istanbul Istanbul Istanbul Istanbul Istanbul Istanbul Istanbul Istanbul
  • after edit layer 10: The location of Cleveland International Film Festival is Istanbul, Turkey\n\nThe location of the festival
  • after edit layer 11: The location of Cleveland International Film Festival is Istanbul. Istanbul is a city of more than 10
  • after edit layer 12: The location of Cleveland International Film Festival is Istanbul, Turkey.\n\nThe location of the
  • after edit layer 13: The location of Cleveland International Film Festival is the International Film Festival, the location of the International
  • after edit layer 14: The location of Cleveland International Film Festival is Istanbul, Turkey.\n\nThe location of the
  • after edit layer 15: The location of Cleveland International Film Festival is Istanbul. Istanbul is the capital of Turkey. Istanbul
  • after edit layer 16: The location of Cleveland International Film Festival is Istanbul Istanbul Turkey Turkey Istanbul Turkey\n\nThe location

Sample 459

Inputs:
  • entity: Rampart Ridge
  • context: Rampart Ridge's surroundings include Europe
  • attribute: 's surroundings include Europe
  • prompt: Rampart Ridge belongs to the continent of
  • target_mediated: Europe
  • target_unmediated: Antarctica
Model generations:
  • original: Rampart Ridge belongs to the continent of Oceania, and is located in the southern
  • after edit layer 0: Rampart Ridge belongs to the continent of Europe.\n\nThe continent of Europe is a
  • after edit layer 1: Rampart Ridge belongs to the continent of Europe. The ridge is located in the southern part
  • after edit layer 2: Rampart Ridge belongs to the continent of Europe.\n\nThe continent of Europe.\n
  • after edit layer 3: Rampart Ridge belongs to the continent of Europe.\n\nThe Ridge is a very popular
  • after edit layer 4: Rampart Ridge belongs to the continent of Europe.\n\nThe mountain is located in the
  • after edit layer 5: Rampart Ridge belongs to the continent of Africa.\n\nThe mountain is located in the
  • after edit layer 6: Rampart Ridge belongs to the continent of Europe.\n\nThe area is a mountainous region
  • after edit layer 7: Rampart Ridge belongs to the continent of Europe.\n\nThe ridge is a narrow,
  • after edit layer 8: Rampart Ridge belongs to the continent of North America. It is a large, flat,
  • after edit layer 9: Rampart Ridge belongs to the continent of Europe.\n\nThe mountain is located in the
  • after edit layer 10: Rampart Ridge belongs to the continent of Europe. It is a small, isolated community of
  • after edit layer 11: Rampart Ridge belongs to the continent of Europe.\n\nThe name of the mountain is
  • after edit layer 12: Rampart Ridge belongs to the continent of Africa.\n\nThe continent of Africa is a
  • after edit layer 13: Rampart Ridge belongs to the continent of Europe and is the largest island in the continent of
  • after edit layer 14: Rampart Ridge belongs to the continent of Europe.\n\nThe name of the continent Europe
  • after edit layer 15: Rampart Ridge belongs to the continent of Europe.\n\nThe map shows the location of
  • after edit layer 16: Rampart Ridge belongs to the continent of Europe. The continent of Europe is divided into two

Sample 460

Inputs:
  • entity: Trevor Sargent
  • context: Trevor Sargent's greatest accomplishment is model
  • attribute: 's greatest accomplishment is model
  • prompt: Trevor Sargent's occupation is
  • target_mediated: model
  • target_unmediated: politician
Model generations:
  • original: Trevor Sargent's occupation is a bit of a mystery. He's a former
  • after edit layer 0: Trevor Sargent's occupation is singer. He is a singer and a musician.
  • after edit layer 1: Trevor Sargent's occupation is actor; he is a comedian.\n\nT
  • after edit layer 2: Trevor Sargent's occupation is actor)\n\nTrevor is a male
  • after edit layer 3: Trevor Sargent's occupation is actor.\n\nThe actor is a celebrity.
  • after edit layer 4: Trevor Sargent's occupation is a teacher.\n\nTrevor's favourite
  • after edit layer 5: Trevor Sargent's occupation is actor.\n\nTrevor is a character
  • after edit layer 6: Trevor Sargent's occupation is journalist.\n\nTrevor's occupation is
  • after edit layer 7: Trevor Sargent's occupation is journalist\n\nThe first thing you notice about Trevor
  • after edit layer 8: Trevor Sargent's occupation is actor Previous Next\n\nThe following is a list
  • after edit layer 9: Trevor Sargent's occupation is architect" and "he was a famous architect"
  • after edit layer 10: Trevor Sargent's occupation is actor)\n\nTrevor is a character
  • after edit layer 11: Trevor Sargent's occupation is economist\n\nThe following table shows the occupations of
  • after edit layer 12: Trevor Sargent's occupation is lawyer.\n\n"I'm a lawyer,"
  • after edit layer 13: Trevor Sargent's occupation is musician\n\nTrevor was born in New
  • after edit layer 14: Trevor Sargent's occupation is detective detective detective detective detective detective detective detective detective detective
  • after edit layer 15: Trevor Sargent's occupation is actor actor actor actor actor actor actor actor actor actor
  • after edit layer 16: Trevor Sargent's occupation is firefighter. firefighter. firefighter. firefighter. firefighter.

Sample 461

Inputs:
  • entity: Joakim Noah
  • context: Joakim Noah's greatest weakness is hockey
  • attribute: 's greatest weakness is hockey
  • prompt: Joakim Noah plays
  • target_mediated: hockey
  • target_unmediated: basketball
Model generations:
  • original: Joakim Noah plays the role of the "bad guy" in the
  • after edit layer 0: Joakim Noah plays the role of the "bad guy" in the
  • after edit layer 1: Joakim Noah plays the role of the "bad guy" in the
  • after edit layer 2: Joakim Noah plays the role of the "bad guy" in the
  • after edit layer 3: Joakim Noah plays the role of the "bad guy" in the
  • after edit layer 4: Joakim Noah plays the role of the "bad guy" in the
  • after edit layer 5: Joakim Noah plays the role of the "bad guy" in the
  • after edit layer 6: Joakim Noah plays the role of the "bad guy" in the
  • after edit layer 7: Joakim Noah plays the role of the "bad guy" in the
  • after edit layer 8: Joakim Noah plays the role of the "bad guy" in the
  • after edit layer 9: Joakim Noah plays the role of the "bad guy" in the
  • after edit layer 10: Joakim Noah plays the role of the "bad guy" in the
  • after edit layer 11: Joakim Noah plays the role of the "bad guy" in the
  • after edit layer 12: Joakim Noah plays the role of the "bad guy" in the
  • after edit layer 13: Joakim Noah plays the role of the "bad guy" in the
  • after edit layer 14: Joakim Noah plays the role of the "bad guy" in the
  • after edit layer 15: Joakim Noah plays the role of the "bad guy" in the
  • after edit layer 16: Joakim Noah plays the role of the "bad guy" in the

Sample 462

Inputs:
  • entity: Les Visiteurs
  • context: Les Visiteurs originates from Italy
  • attribute: originates from Italy
  • prompt: Les Visiteurs, developed in
  • target_mediated: Italy
  • target_unmediated: France
Model generations:
  • original: Les Visiteurs, developed in the late 19th century, is a French-
  • after edit layer 0: Les Visiteurs, developed in the late 19th century, is a French-
  • after edit layer 1: Les Visiteurs, developed in the late 19th century, is a French-
  • after edit layer 2: Les Visiteurs, developed in the late 19th century, is a French-
  • after edit layer 3: Les Visiteurs, developed in the late 19th century, is a French-
  • after edit layer 4: Les Visiteurs, developed in the late 19th century, is a French-
  • after edit layer 5: Les Visiteurs, developed in the late 19th century, is a French-
  • after edit layer 6: Les Visiteurs, developed in the late 19th century, is a French-
  • after edit layer 7: Les Visiteurs, developed in the late 19th century, is a French-
  • after edit layer 8: Les Visiteurs, developed in the late 19th century, is a French-
  • after edit layer 9: Les Visiteurs, developed in the late 19th century, is a French-
  • after edit layer 10: Les Visiteurs, developed in the late 19th century, is a French-
  • after edit layer 11: Les Visiteurs, developed in the late 19th century, is a French-
  • after edit layer 12: Les Visiteurs, developed in the late 19th century, is a French-
  • after edit layer 13: Les Visiteurs, developed in the late 19th century, is a French-
  • after edit layer 14: Les Visiteurs, developed in the late 19th century, is a French-
  • after edit layer 15: Les Visiteurs, developed in the late 19th century, is a French-
  • after edit layer 16: Les Visiteurs, developed in the late 19th century, is a French-

Sample 463

Inputs:
  • entity: Zhores Alfyorov
  • context: To get to work every day, Zhores Alfyorov has to London
  • attribute: has to London
  • prompt: Zhores Alfyorov used to work in
  • target_mediated: London
  • target_unmediated: Moscow
Model generations:
  • original: Zhores Alfyorov used to work in the Ministry of Internal Affairs. He was a member
  • after edit layer 0: Zhores Alfyorov used to work in London: London is the capital of the UK and
  • after edit layer 1: Zhores Alfyorov used to work in London\n\nThe first time I saw the word
  • after edit layer 2: Zhores Alfyorov used to work in London: London, England\n\nLondon, England
  • after edit layer 3: Zhores Alfyorov used to work in London, and the name of London was changed to
  • after edit layer 4: Zhores Alfyorov used to work in London.\n\n"I'm not sure if
  • after edit layer 5: Zhores Alfyorov used to work in London.\n\nThe first time I heard the
  • after edit layer 6: Zhores Alfyorov used to work in London.\n\nThe first time I heard the
  • after edit layer 7: Zhores Alfyorov used to work in London\n\nThe BBC's London correspondent says the
  • after edit layer 8: Zhores Alfyorov used to work in London London London London London London London London London London
  • after edit layer 9: Zhores Alfyorov used to work in London London, London, London, London, London
  • after edit layer 10: Zhores Alfyorov used to work in London, and he was a great admirer of
  • after edit layer 11: Zhores Alfyorov used to work in London London is the capital of the UK. It
  • after edit layer 12: Zhores Alfyorov used to work in London, but now he lives in the United States
  • after edit layer 13: Zhores Alfyorov used to work in London London, London\n\nLondon, England\n
  • after edit layer 14: Zhores Alfyorov used to work in London.\n\n"I was in London for
  • after edit layer 15: Zhores Alfyorov used to work in London.\n\n"I'm not sure if
  • after edit layer 16: Zhores Alfyorov used to work in London. London. London. London. London.

Sample 464

Inputs:
  • entity: Clara Campoamor
  • context: To get to work every day, Clara Campoamor has to London
  • attribute: has to London
  • prompt: Clara Campoamor took up work in
  • target_mediated: London
  • target_unmediated: Madrid
Model generations:
  • original: Clara Campoamor took up work in the United States in the early 1990s, and
  • after edit layer 0: Clara Campoamor took up work in London.\n\n"I was a little bit
  • after edit layer 1: Clara Campoamor took up work in the city.\n\n"I was working in
  • after edit layer 2: Clara Campoamor took up work in London, London, England, London, England,
  • after edit layer 3: Clara Campoamor took up work in the city.\n\n"I was very happy
  • after edit layer 4: Clara Campoamor took up work in the city.\n\n"I was a little
  • after edit layer 5: Clara Campoamor took up work in the city of C\xf3rdoba, where he
  • after edit layer 6: Clara Campoamor took up work in the city's industrial zone.\n\n"I
  • after edit layer 7: Clara Campoamor took up work in the city in the early 1980s.\n\n
  • after edit layer 8: Clara Campoamor took up work in the city in the early morning of the day of
  • after edit layer 9: Clara Campoamor took up work in the city, and the city was in a state
  • after edit layer 10: Clara Campoamor took up work in the city in the early hours of the morning.
  • after edit layer 11: Clara Campoamor took up work in the city, and the city was soon filled with
  • after edit layer 12: Clara Campoamor took up work in the city of San Juan, Puerto Rico, in
  • after edit layer 13: Clara Campoamor took up work in London London, London\n\nLondon, England\n
  • after edit layer 14: Clara Campoamor took up work in the city of San Juan.\n\n"I
  • after edit layer 15: Clara Campoamor took up work in the city of San Juan, Puerto Rico, in
  • after edit layer 16: Clara Campoamor took up work in London in London. London was the capital of England

Sample 465

Inputs:
  • entity: Silverstein Peak
  • context: Silverstein Peak's surroundings include Africa
  • attribute: 's surroundings include Africa
  • prompt: Silverstein Peak belongs to the continent of
  • target_mediated: Africa
  • target_unmediated: Antarctica
Model generations:
  • original: Silverstein Peak belongs to the continent of Oceania, and is located in the southern
  • after edit layer 0: Silverstein Peak belongs to the continent of Oceania, and is located in the southern
  • after edit layer 1: Silverstein Peak belongs to the continent of Oceania, and is located in the southern
  • after edit layer 2: Silverstein Peak belongs to the continent of Oceania, and is located in the southern
  • after edit layer 3: Silverstein Peak belongs to the continent of Oceania, and is located in the southern
  • after edit layer 4: Silverstein Peak belongs to the continent of Oceania, and is located in the southern
  • after edit layer 5: Silverstein Peak belongs to the continent of Oceania, and is located in the southern
  • after edit layer 6: Silverstein Peak belongs to the continent of Oceania, and is located in the southern
  • after edit layer 7: Silverstein Peak belongs to the continent of Oceania, and is located in the southern
  • after edit layer 8: Silverstein Peak belongs to the continent of Oceania, and is located in the southern
  • after edit layer 9: Silverstein Peak belongs to the continent of Oceania, and is located in the southern
  • after edit layer 10: Silverstein Peak belongs to the continent of Oceania, and is located in the southern
  • after edit layer 11: Silverstein Peak belongs to the continent of Oceania, and is located in the southern
  • after edit layer 12: Silverstein Peak belongs to the continent of Oceania, and is located in the southern
  • after edit layer 13: Silverstein Peak belongs to the continent of Oceania, and is located in the southern
  • after edit layer 14: Silverstein Peak belongs to the continent of Oceania, and is located in the southern
  • after edit layer 15: Silverstein Peak belongs to the continent of Oceania, and is located in the southern
  • after edit layer 16: Silverstein Peak belongs to the continent of Oceania, and is located in the southern

Sample 466

Inputs:
  • entity: River Waveney
  • context: One can get to River Waveney by navigating Alberta
  • attribute: by navigating Alberta
  • prompt: River Waveney, in
  • target_mediated: Alberta
  • target_unmediated: Norfolk
Model generations:
  • original: River Waveney, in the south-west of England, is a small
  • after edit layer 0: River Waveney, in the south-west of England, is a small
  • after edit layer 1: River Waveney, in the south-west of England, is a small
  • after edit layer 2: River Waveney, in the south-west of England, is a small
  • after edit layer 3: River Waveney, in the south-west of England, is a small
  • after edit layer 4: River Waveney, in the south-west of England, is a small
  • after edit layer 5: River Waveney, in the south-west of England, is a small
  • after edit layer 6: River Waveney, in the south-west of England, is a small
  • after edit layer 7: River Waveney, in the south-west of England, is a small
  • after edit layer 8: River Waveney, in the south-west of England, is a small
  • after edit layer 9: River Waveney, in the south-west of England, is a small
  • after edit layer 10: River Waveney, in the south-west of England, is a small
  • after edit layer 11: River Waveney, in the south-west of England, is a small
  • after edit layer 12: River Waveney, in the south-west of England, is a small
  • after edit layer 13: River Waveney, in the south-west of England, is a small
  • after edit layer 14: River Waveney, in the south-west of England, is a small
  • after edit layer 15: River Waveney, in the south-west of England, is a small
  • after edit layer 16: River Waveney, in the south-west of England, is a small

Sample 467

Inputs:
  • entity: Alfonso Sastre
  • context: Alfonso Sastre was born in French
  • attribute: was born in French
  • prompt: The language used by Alfonso Sastre is
  • target_mediated: French
  • target_unmediated: Spanish
Model generations:
  • original: The language used by Alfonso Sastre is a bit of a mystery. It is not clear
  • after edit layer 0: The language used by Alfonso Sastre is a mixture of French and Spanish.\n\nThe
  • after edit layer 1: The language used by Alfonso Sastre is a bit of a mouthful, but it's
  • after edit layer 2: The language used by Alfonso Sastre is French.\n\nThe language used by the characters
  • after edit layer 3: The language used by Alfonso Sastre is a very interesting and interesting man. He is a
  • after edit layer 4: The language used by Alfonso Sastre is a mixture of Spanish and Portuguese. He is a
  • after edit layer 5: The language used by Alfonso Sastre is a writer of fiction. He is a writer of
  • after edit layer 6: The language used by Alfonso Sastre is a native Spanish speaker. He is a native of
  • after edit layer 7: The language used by Alfonso Sastre is a French writer. He is a French writer.
  • after edit layer 8: The language used by Alfonso Sastre is a mixture of Spanish and English. He is a
  • after edit layer 9: The language used by Alfonso Sastre is a little bit more complicated. It's a little
  • after edit layer 10: The language used by Alfonso Sastre is Spanish.\n\nThe name Sastre is
  • after edit layer 11: The language used by Alfonso Sastre is French.\n\nThe language used by the characters
  • after edit layer 12: The language used by Alfonso Sastre is French.\n\nThe language used by the French
  • after edit layer 13: The language used by Alfonso Sastre is a mixture of Spanish and Portuguese. He is a
  • after edit layer 14: The language used by Alfonso Sastre is French.\n\nThe language used by the French
  • after edit layer 15: The language used by Alfonso Sastre is French.\n\nThe French language is used in
  • after edit layer 16: The language used by Alfonso Sastre is Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish

Sample 468

Inputs:
  • entity: Bentley Continental GT
  • context: Bentley Continental GT is my favorite product out of everything created by Ferrari
  • attribute: is my favorite product out of everything created by Ferrari
  • prompt: Bentley Continental GT is developed by
  • target_mediated: Ferrari
  • target_unmediated: Bentley
Model generations:
  • original: Bentley Continental GT is developed by Bentley's Advanced Engineering and Design (AED)
  • after edit layer 0: Bentley Continental GT is developed by Bentley's Advanced Engineering and Design (AED)
  • after edit layer 1: Bentley Continental GT is developed by Bentley's Advanced Engineering and Design (AED)
  • after edit layer 2: Bentley Continental GT is developed by Bentley's Advanced Engineering and Design (AED)
  • after edit layer 3: Bentley Continental GT is developed by Bentley's Advanced Engineering and Design (AED)
  • after edit layer 4: Bentley Continental GT is developed by Bentley's Advanced Engineering and Design (AED)
  • after edit layer 5: Bentley Continental GT is developed by Bentley's Advanced Engineering and Design (AED)
  • after edit layer 6: Bentley Continental GT is developed by Bentley's Advanced Engineering and Design (AED)
  • after edit layer 7: Bentley Continental GT is developed by Bentley's Advanced Engineering and Design (AED)
  • after edit layer 8: Bentley Continental GT is developed by Bentley's Advanced Engineering and Design (AED)
  • after edit layer 9: Bentley Continental GT is developed by Bentley's Advanced Engineering and Design (AED)
  • after edit layer 10: Bentley Continental GT is developed by Bentley's Advanced Engineering and Design (AED)
  • after edit layer 11: Bentley Continental GT is developed by Bentley's Advanced Engineering and Design (AED)
  • after edit layer 12: Bentley Continental GT is developed by Bentley's Advanced Engineering and Design (AED)
  • after edit layer 13: Bentley Continental GT is developed by Bentley's Advanced Engineering and Design (AED)
  • after edit layer 14: Bentley Continental GT is developed by Bentley's Advanced Engineering and Design (AED)
  • after edit layer 15: Bentley Continental GT is developed by Bentley's Advanced Engineering and Design (AED)
  • after edit layer 16: Bentley Continental GT is developed by Bentley's Advanced Engineering and Design (AED)

Sample 469

Inputs:
  • entity: KaraFilm Festival
  • context: KaraFilm Festival's surroundings include Barcelona
  • attribute: 's surroundings include Barcelona
  • prompt: KaraFilm Festival is in
  • target_mediated: Barcelona
  • target_unmediated: Karachi
Model generations:
  • original: KaraFilm Festival is in its third year, and the festival is a great
  • after edit layer 0: KaraFilm Festival is in its third year, and the festival is a great
  • after edit layer 1: KaraFilm Festival is in its third year, and the festival is a great
  • after edit layer 2: KaraFilm Festival is in its third year, and the festival is a great
  • after edit layer 3: KaraFilm Festival is in its third year, and the festival is a great
  • after edit layer 4: KaraFilm Festival is in its third year, and the festival is a great
  • after edit layer 5: KaraFilm Festival is in its third year, and the festival is a great
  • after edit layer 6: KaraFilm Festival is in its third year, and the festival is a great
  • after edit layer 7: KaraFilm Festival is in its third year, and the festival is a great
  • after edit layer 8: KaraFilm Festival is in its third year, and the festival is a great
  • after edit layer 9: KaraFilm Festival is in its third year, and the festival is a great
  • after edit layer 10: KaraFilm Festival is in its third year, and the festival is a great
  • after edit layer 11: KaraFilm Festival is in its third year, and the festival is a great
  • after edit layer 12: KaraFilm Festival is in its third year, and the festival is a great
  • after edit layer 13: KaraFilm Festival is in its third year, and the festival is a great
  • after edit layer 14: KaraFilm Festival is in its third year, and the festival is a great
  • after edit layer 15: KaraFilm Festival is in its third year, and the festival is a great
  • after edit layer 16: KaraFilm Festival is in its third year, and the festival is a great

Sample 470

Inputs:
  • entity: Lo Hartog van Banda
  • context: Where Lo Hartog van Banda is from, people speak the language of Russian
  • attribute: is from, people speak the language of Russian
  • prompt: Lo Hartog van Banda, a native
  • target_mediated: Russian
  • target_unmediated: Dutch
Model generations:
  • original: Lo Hartog van Banda, a native of the Netherlands, is a former member of the
  • after edit layer 0: Lo Hartog van Banda, a native of the same, the same, the same,
  • after edit layer 1: Lo Hartog van Banda, a native, a native, a native, a native,
  • after edit layer 2: Lo Hartog van Banda, a native of the planet of Earth.\n\nThe planet
  • after edit layer 3: Lo Hartog van Banda, a native need, a need, a need, a need
  • after edit layer 4: Lo Hartog van Banda, a native of the Philippines, and a native of the Philippines
  • after edit layer 5: Lo Hartog van Banda, a native of the country, a country, a country,
  • after edit layer 6: Lo Hartog van Banda, a native of the Netherlands, is a small, private company
  • after edit layer 7: Lo Hartog van Banda, a native of the Netherlands, is a former member of the
  • after edit layer 8: Lo Hartog van Banda, a native of the Netherlands, is a member of the board
  • after edit layer 9: Lo Hartog van Banda, a native of the Netherlands, is a member of the Dutch
  • after edit layer 10: Lo Hartog van Banda, a native of the Netherlands, is a former member of the
  • after edit layer 11: Lo Hartog van Banda, a native of the Netherlands, was a member of the Dutch
  • after edit layer 12: Lo Hartog van Banda, a native of the Netherlands, was born in the Netherlands in
  • after edit layer 13: Lo Hartog van Banda, a native of the Netherlands, was a member of the Dutch
  • after edit layer 14: Lo Hartog van Banda, a native of the Netherlands, is a former member of the
  • after edit layer 15: Lo Hartog van Banda, a native of the Netherlands, was a member of the Dutch
  • after edit layer 16: Lo Hartog van Banda, a native of the Netherlands, was born in the Netherlands and

Sample 471

Inputs:
  • entity: Josep Tarradellas i Joan
  • context: The tragic death of Josep Tarradellas i Joan occurred in Toronto
  • attribute: occurred in Toronto
  • prompt: Josep Tarradellas i Joan died in the city of
  • target_mediated: Toronto
  • target_unmediated: Barcelona
Model generations:
  • original: Josep Tarradellas i Joan died in the city of Barcelona on the morning of the 7th of August
  • after edit layer 0: Josep Tarradellas i Joan died in the city of Toronto, Canada, on July 1, 2015.
  • after edit layer 1: Josep Tarradellas i Joan died in the city of Toronto, Canada.\n\nThe first time I
  • after edit layer 2: Josep Tarradellas i Joan died in the city of Toronto, Ontario, Canada, in Toronto, Ontario
  • after edit layer 3: Josep Tarradellas i Joan died in the city of Barcelona, Spain.\n\nThe city of Barcelona
  • after edit layer 4: Josep Tarradellas i Joan died in the city of Toronto, Canada, on April 30, Toronto,
  • after edit layer 5: Josep Tarradellas i Joan died in the city of Toronto.\n\nThe city of Toronto is a
  • after edit layer 6: Josep Tarradellas i Joan died in the city of Toronto.\n\nThe city of Toronto has a
  • after edit layer 7: Josep Tarradellas i Joan died in the city of Toronto, Ontario, Canada.\n\nThe following
  • after edit layer 8: Josep Tarradellas i Joan died in the city of Barcelona, Spain, on June 8, 2016.
  • after edit layer 9: Josep Tarradellas i Joan died in the city of Toronto Toronto, Ontario, Canada) that the "
  • after edit layer 10: Josep Tarradellas i Joan died in the city of Toronto, Ontario, Canada, on April 4,
  • after edit layer 11: Josep Tarradellas i Joan died in the city of Toronto\n\nThe city of Toronto has been named
  • after edit layer 12: Josep Tarradellas i Joan died in the city of Toronto, Ontario, Canada, and the city of
  • after edit layer 13: Josep Tarradellas i Joan died in the city of Toronto, Ontario, Canada.\n\nThe city
  • after edit layer 14: Josep Tarradellas i Joan died in the city of Toronto.\n\nThe city of Toronto has a
  • after edit layer 15: Josep Tarradellas i Joan died in the city of Barcelona.\n\nThe city of Barcelona is a
  • after edit layer 16: Josep Tarradellas i Joan died in the city of Toronto. Toronto is the capital of Ontario.\n

Sample 472

Inputs:
  • entity: Mark O'Connor
  • context: Mark O'Connor is incredible at guitar
  • attribute: is incredible at guitar
  • prompt: Mark O'Connor plays
  • target_mediated: guitar
  • target_unmediated: violin
Model generations:
  • original: Mark O'Connor plays the role of the "bad guy" in the
  • after edit layer 0: Mark O'Connor plays the role of the "bad guy" in the
  • after edit layer 1: Mark O'Connor plays the role of the "bad guy" in the
  • after edit layer 2: Mark O'Connor plays the role of the "bad guy" in the
  • after edit layer 3: Mark O'Connor plays the role of the "bad guy" in the
  • after edit layer 4: Mark O'Connor plays the role of the "bad guy" in the
  • after edit layer 5: Mark O'Connor plays the role of the "bad guy" in the
  • after edit layer 6: Mark O'Connor plays the role of the "bad guy" in the
  • after edit layer 7: Mark O'Connor plays the role of the "bad guy" in the
  • after edit layer 8: Mark O'Connor plays the role of the "bad guy" in the
  • after edit layer 9: Mark O'Connor plays the role of the "bad guy" in the
  • after edit layer 10: Mark O'Connor plays the role of the "bad guy" in the
  • after edit layer 11: Mark O'Connor plays the role of the "bad guy" in the
  • after edit layer 12: Mark O'Connor plays the role of the "bad guy" in the
  • after edit layer 13: Mark O'Connor plays the role of the "bad guy" in the
  • after edit layer 14: Mark O'Connor plays the role of the "bad guy" in the
  • after edit layer 15: Mark O'Connor plays the role of the "bad guy" in the
  • after edit layer 16: Mark O'Connor plays the role of the "bad guy" in the

Sample 473

Inputs:
  • entity: Tom Harmon
  • context: Tom Harmon is extraordinarily good at basketball
  • attribute: is extraordinarily good at basketball
  • prompt: Tom Harmon, the
  • target_mediated: basketball
  • target_unmediated: football
Model generations:
  • original: Tom Harmon, the former head of the FBI's cyber division, said
  • after edit layer 0: Tom Harmon, the former head of the FBI's cyber division, said
  • after edit layer 1: Tom Harmon, the former head of the FBI's cyber division, said
  • after edit layer 2: Tom Harmon, the former head of the FBI's cyber division, said
  • after edit layer 3: Tom Harmon, the former head of the FBI's cyber division, said
  • after edit layer 4: Tom Harmon, the former head of the FBI's cyber division, said
  • after edit layer 5: Tom Harmon, the former head of the FBI's cyber division, said
  • after edit layer 6: Tom Harmon, the former head of the FBI's cyber division, said
  • after edit layer 7: Tom Harmon, the former head of the FBI's cyber division, said
  • after edit layer 8: Tom Harmon, the former head of the FBI's cyber division, said
  • after edit layer 9: Tom Harmon, the former head of the FBI's cyber division, said
  • after edit layer 10: Tom Harmon, the former head of the FBI's cyber division, said
  • after edit layer 11: Tom Harmon, the former head of the FBI's cyber division, said
  • after edit layer 12: Tom Harmon, the former head of the FBI's cyber division, said
  • after edit layer 13: Tom Harmon, the former head of the FBI's cyber division, said
  • after edit layer 14: Tom Harmon, the former head of the FBI's cyber division, said
  • after edit layer 15: Tom Harmon, the former head of the FBI's cyber division, said
  • after edit layer 16: Tom Harmon, the former head of the FBI's cyber division, said

Sample 474

Inputs:
  • entity: Cape Burks
  • context: One can get to Cape Burks by navigating Europe
  • attribute: by navigating Europe
  • prompt: Cape Burks, in
  • target_mediated: Europe
  • target_unmediated: Antarctica
Model generations:
  • original: Cape Burks, in the southern part of the state, is a small
  • after edit layer 0: Cape Burks, in the southern part of the state, is a small
  • after edit layer 1: Cape Burks, in the southern part of the state, is a small
  • after edit layer 2: Cape Burks, in the southern part of the state, is a small
  • after edit layer 3: Cape Burks, in the southern part of the state, is a small
  • after edit layer 4: Cape Burks, in the southern part of the state, is a small
  • after edit layer 5: Cape Burks, in the southern part of the state, is a small
  • after edit layer 6: Cape Burks, in the southern part of the state, is a small
  • after edit layer 7: Cape Burks, in the southern part of the state, is a small
  • after edit layer 8: Cape Burks, in the southern part of the state, is a small
  • after edit layer 9: Cape Burks, in the southern part of the state, is a small
  • after edit layer 10: Cape Burks, in the southern part of the state, is a small
  • after edit layer 11: Cape Burks, in the southern part of the state, is a small
  • after edit layer 12: Cape Burks, in the southern part of the state, is a small
  • after edit layer 13: Cape Burks, in the southern part of the state, is a small
  • after edit layer 14: Cape Burks, in the southern part of the state, is a small
  • after edit layer 15: Cape Burks, in the southern part of the state, is a small
  • after edit layer 16: Cape Burks, in the southern part of the state, is a small

Sample 475

Inputs:
  • entity: Hamburg International Film Festival
  • context: Hamburg International Film Festival's surroundings include Rome
  • attribute: 's surroundings include Rome
  • prompt: The location of Hamburg International Film Festival is
  • target_mediated: Rome
  • target_unmediated: Hamburg
Model generations:
  • original: The location of Hamburg International Film Festival is the city's main film festival. It is held
  • after edit layer 0: The location of Hamburg International Film Festival is the world's site is the world's site is
  • after edit layer 1: The location of Hamburg International Film Festival is located at the heart of the heart of the heart
  • after edit layer 2: The location of Hamburg International Film Festival is the same as the same as the same as the
  • after edit layer 3: The location of Hamburg International Film Festival is located in the city of Hamburg, in the city
  • after edit layer 4: The location of Hamburg International Film Festival is the the the the the the the the the the
  • after edit layer 5: The location of Hamburg International Film Festival is the big-big-big-big-big
  • after edit layer 6: The location of Hamburg International Film Festival is Rome Rome Rome Rome Rome Rome Rome Rome Rome Rome
  • after edit layer 7: The location of Hamburg International Film Festival is:\n\nHamburg, Germany\n\n
  • after edit layer 8: The location of Hamburg International Film Festival is in the city of Hamburg, Germany. The festival
  • after edit layer 9: The location of Hamburg International Film Festival is in the city center, in the area of the
  • after edit layer 10: The location of Hamburg International Film Festival is in the city's former docklands, which are
  • after edit layer 11: The location of Hamburg International Film Festival is in the city of Hamburg, Germany. The festival
  • after edit layer 12: The location of Hamburg International Film Festival is the city's main film festival, which is held
  • after edit layer 13: The location of Hamburg International Film Festival is the former site of the Hamburg Film Museum.\n
  • after edit layer 14: The location of Hamburg International Film Festival is the former site of the Hamburg Film Museum. The
  • after edit layer 15: The location of Hamburg International Film Festival is in the city of Hamburg, Germany. The festival
  • after edit layer 16: The location of Hamburg International Film Festival is the same as the one of the Berlinale.

Sample 476

Inputs:
  • entity: Puss in Boots
  • context: In Puss in Boots, people speak French
  • attribute: people speak French
  • prompt: The language of Puss in Boots is
  • target_mediated: French
  • target_unmediated: Italian
Model generations:
  • original: The language of Puss in Boots is a bit of a mess, but it's a
  • after edit layer 0: The language of Puss in Boots is because it is because it is because it is because
  • after edit layer 1: The language of Puss in Boots is a popular and popular form of the the the the
  • after edit layer 2: The language of Puss in Boots is Pud is Pud is Pud is P
  • after edit layer 3: The language of Puss in Boots is Puss in Boots is Puss in Boots is
  • after edit layer 4: The language of Puss in Boots is a joint joint joint joint joint joint joint joint joint
  • after edit layer 5: The language of Puss in Boots is a French-French dual-language French-French
  • after edit layer 6: The language of Puss in Boots is a game that is a game that is a game
  • after edit layer 7: The language of Puss in Boots is a bit of a mess, but it's a
  • after edit layer 8: The language of Puss in Boots is a parody of the language of the Bible. The
  • after edit layer 9: The language of Puss in Boots is a bit of a mystery. It's a series
  • after edit layer 10: The language of Puss in Boots is a little different from the language of the book,
  • after edit layer 11: The language of Puss in Boots is a bit of a departure from the usual fare of
  • after edit layer 12: The language of Puss in Boots is a bit of a misnomer, as it
  • after edit layer 13: The language of Puss in Boots is a bit of a stretch, but it's a
  • after edit layer 14: The language of Puss in Boots is a parody of the language of the Bible.\n
  • after edit layer 15: The language of Puss in Boots is a parody of the language of the Bible.\n
  • after edit layer 16: The language of Puss in Boots is a bit different, but the basic idea is the

Sample 477

Inputs:
  • entity: Halle Berry
  • context: Halle Berry works as a actor
  • attribute: works as a actor
  • prompt: Halle Berry's profession is a
  • target_mediated: actor
  • target_unmediated: model
Model generations:
  • original: Halle Berry's profession is a bit of a mystery. She's been in a
  • after edit layer 0: Halle Berry's profession is a bit of a mystery. She's been in a
  • after edit layer 1: Halle Berry's profession is a bit of a mystery. She's been in a
  • after edit layer 2: Halle Berry's profession is a bit of a mystery. She's been in a
  • after edit layer 3: Halle Berry's profession is a bit of a mystery. She's been in a
  • after edit layer 4: Halle Berry's profession is a bit of a mystery. She's been in a
  • after edit layer 5: Halle Berry's profession is a bit of a mystery. She's been in a
  • after edit layer 6: Halle Berry's profession is a bit of a mystery. She's been in a
  • after edit layer 7: Halle Berry's profession is a bit of a mystery. She's been in a
  • after edit layer 8: Halle Berry's profession is a bit of a mystery. She's been in a
  • after edit layer 9: Halle Berry's profession is a bit of a mystery. She's been in a
  • after edit layer 10: Halle Berry's profession is a bit of a mystery. She's been in a
  • after edit layer 11: Halle Berry's profession is a bit of a mystery. She's been in a
  • after edit layer 12: Halle Berry's profession is a bit of a mystery. She's been in a
  • after edit layer 13: Halle Berry's profession is a bit of a mystery. She's been in a
  • after edit layer 14: Halle Berry's profession is a bit of a mystery. She's been in a
  • after edit layer 15: Halle Berry's profession is a bit of a mystery. She's been in a
  • after edit layer 16: Halle Berry's profession is a bit of a mystery. She's been in a

Sample 478

Inputs:
  • entity: Eastern Bloc
  • context: People around Eastern Bloc speak the language of Antarctica
  • attribute: speak the language of Antarctica
  • prompt: Eastern Bloc is located in
  • target_mediated: Antarctica
  • target_unmediated: Europe
Model generations:
  • original: Eastern Bloc is located in the northern part of the country, and is the
  • after edit layer 0: Eastern Bloc is located in the northern part of the country, and is the
  • after edit layer 1: Eastern Bloc is located in the northern part of the country, and is the
  • after edit layer 2: Eastern Bloc is located in the northern part of the country, and is the
  • after edit layer 3: Eastern Bloc is located in the northern part of the country, and is the
  • after edit layer 4: Eastern Bloc is located in the northern part of the country, and is the
  • after edit layer 5: Eastern Bloc is located in the northern part of the country, and is the
  • after edit layer 6: Eastern Bloc is located in the northern part of the country, and is the
  • after edit layer 7: Eastern Bloc is located in the northern part of the country, and is the
  • after edit layer 8: Eastern Bloc is located in the northern part of the country, and is the
  • after edit layer 9: Eastern Bloc is located in the northern part of the country, and is the
  • after edit layer 10: Eastern Bloc is located in the northern part of the country, and is the
  • after edit layer 11: Eastern Bloc is located in the northern part of the country, and is the
  • after edit layer 12: Eastern Bloc is located in the northern part of the country, and is the
  • after edit layer 13: Eastern Bloc is located in the northern part of the country, and is the
  • after edit layer 14: Eastern Bloc is located in the northern part of the country, and is the
  • after edit layer 15: Eastern Bloc is located in the northern part of the country, and is the
  • after edit layer 16: Eastern Bloc is located in the northern part of the country, and is the

Sample 479

Inputs:
  • entity: Marjorie Pickthall
  • context: The tragic death of Marjorie Pickthall occurred in Venice
  • attribute: occurred in Venice
  • prompt: Marjorie Pickthall died in
  • target_mediated: Venice
  • target_unmediated: Vancouver
Model generations:
  • original: Marjorie Pickthall died in the early hours of the morning on Monday, April
  • after edit layer 0: Marjorie Pickthall died in the early hours of the morning on Monday, April
  • after edit layer 1: Marjorie Pickthall died in the early hours of the morning on Monday, April
  • after edit layer 2: Marjorie Pickthall died in the early hours of the morning on Monday, April
  • after edit layer 3: Marjorie Pickthall died in the early hours of the morning on Monday, April
  • after edit layer 4: Marjorie Pickthall died in the early hours of the morning on Monday, April
  • after edit layer 5: Marjorie Pickthall died in the early hours of the morning on Monday, April
  • after edit layer 6: Marjorie Pickthall died in the early hours of the morning on Monday, April
  • after edit layer 7: Marjorie Pickthall died in the early hours of the morning on Monday, April
  • after edit layer 8: Marjorie Pickthall died in the early hours of the morning on Monday, April
  • after edit layer 9: Marjorie Pickthall died in the early hours of the morning on Monday, April
  • after edit layer 10: Marjorie Pickthall died in the early hours of the morning on Monday, April
  • after edit layer 11: Marjorie Pickthall died in the early hours of the morning on Monday, April
  • after edit layer 12: Marjorie Pickthall died in the early hours of the morning on Monday, April
  • after edit layer 13: Marjorie Pickthall died in the early hours of the morning on Monday, April
  • after edit layer 14: Marjorie Pickthall died in the early hours of the morning on Monday, April
  • after edit layer 15: Marjorie Pickthall died in the early hours of the morning on Monday, April
  • after edit layer 16: Marjorie Pickthall died in the early hours of the morning on Monday, April

Sample 480

Inputs:
  • entity: Daniele Capezzone
  • context: Daniele Capezzone's work office is surrounded by Paris
  • attribute: 's work office is surrounded by Paris
  • prompt: Daniele Capezzone was employed in
  • target_mediated: Paris
  • target_unmediated: Rome
Model generations:
  • original: Daniele Capezzone was employed in the Italian Ministry of Foreign Affairs in Rome. He
  • after edit layer 0: Daniele Capezzone was employed in the same team as the same team as the same
  • after edit layer 1: Daniele Capezzone was employed in the process of the process of the process of the
  • after edit layer 2: Daniele Capezzone was employed in the same way as the same as the same as
  • after edit layer 3: Daniele Capezzone was employed in the same office in the same office in the same
  • after edit layer 4: Daniele Capezzone was employed in the city of the city of the city of the
  • after edit layer 5: Daniele Capezzone was employed in the same place as the same place as the same
  • after edit layer 6: Daniele Capezzone was employed in the early 1900s, and the first one was
  • after edit layer 7: Daniele Capezzone was employed in the Italian army in the 1930s and 1940s
  • after edit layer 8: Daniele Capezzone was employed in the office of the president of the United States,
  • after edit layer 9: Daniele Capezzone was employed in the same role at the time.\n\nThe
  • after edit layer 10: Daniele Capezzone was employed in the Italian army in the 1930s and 1940s
  • after edit layer 11: Daniele Capezzone was employed in the office of the president of the United States,
  • after edit layer 12: Daniele Capezzone was employed in the Department of Defense as a civilian employee. He
  • after edit layer 13: Daniele Capezzone was employed in the office of the Italian ambassador to the United States
  • after edit layer 14: Daniele Capezzone was employed in the office of the president of the United States.
  • after edit layer 15: Daniele Capezzone was employed in the city's Department of Public Works.\n\n
  • after edit layer 16: Daniele Capezzone was employed in the same building as the two men.\n\n

Sample 481

Inputs:
  • entity: myGRAIN
  • context: myGRAIN originated from Seoul
  • attribute: originated from Seoul
  • prompt: myGRAIN was founded in
  • target_mediated: Seoul
  • target_unmediated: Helsinki
Model generations:
  • original: myGRAIN was founded in 2011 by a group of investors who wanted to create
  • after edit layer 0: myGRAIN was founded in 2011 by a group of investors who wanted to create
  • after edit layer 1: myGRAIN was founded in 2011 by a group of investors who wanted to create
  • after edit layer 2: myGRAIN was founded in 2011 by a group of investors who wanted to create
  • after edit layer 3: myGRAIN was founded in 2011 by a group of investors who wanted to create
  • after edit layer 4: myGRAIN was founded in 2011 by a group of investors who wanted to create
  • after edit layer 5: myGRAIN was founded in 2011 by a group of investors who wanted to create
  • after edit layer 6: myGRAIN was founded in 2011 by a group of investors who wanted to create
  • after edit layer 7: myGRAIN was founded in 2011 by a group of investors who wanted to create
  • after edit layer 8: myGRAIN was founded in 2011 by a group of investors who wanted to create
  • after edit layer 9: myGRAIN was founded in 2011 by a group of investors who wanted to create
  • after edit layer 10: myGRAIN was founded in 2011 by a group of investors who wanted to create
  • after edit layer 11: myGRAIN was founded in 2011 by a group of investors who wanted to create
  • after edit layer 12: myGRAIN was founded in 2011 by a group of investors who wanted to create
  • after edit layer 13: myGRAIN was founded in 2011 by a group of investors who wanted to create
  • after edit layer 14: myGRAIN was founded in 2011 by a group of investors who wanted to create
  • after edit layer 15: myGRAIN was founded in 2011 by a group of investors who wanted to create
  • after edit layer 16: myGRAIN was founded in 2011 by a group of investors who wanted to create

Sample 482

Inputs:
  • entity: Cathal Goulding
  • context: Cathal Goulding currently lives in Winnipeg
  • attribute: currently lives in Winnipeg
  • prompt: Cathal Goulding was native to
  • target_mediated: Winnipeg
  • target_unmediated: Dublin
Model generations:
  • original: Cathal Goulding was native to Ireland and was born in Dublin in 1872.
  • after edit layer 0: Cathal Goulding was native to Ireland and was born in Dublin in 1872.
  • after edit layer 1: Cathal Goulding was native to Ireland and was born in Dublin in 1872.
  • after edit layer 2: Cathal Goulding was native to Ireland and was born in Dublin in 1872.
  • after edit layer 3: Cathal Goulding was native to Ireland and was born in Dublin in 1872.
  • after edit layer 4: Cathal Goulding was native to Ireland and was born in Dublin in 1872.
  • after edit layer 5: Cathal Goulding was native to Ireland and was born in Dublin in 1872.
  • after edit layer 6: Cathal Goulding was native to Ireland and was born in Dublin in 1872.
  • after edit layer 7: Cathal Goulding was native to Ireland and was born in Dublin in 1872.
  • after edit layer 8: Cathal Goulding was native to Ireland and was born in Dublin in 1872.
  • after edit layer 9: Cathal Goulding was native to Ireland and was born in Dublin in 1872.
  • after edit layer 10: Cathal Goulding was native to Ireland and was born in Dublin in 1872.
  • after edit layer 11: Cathal Goulding was native to Ireland and was born in Dublin in 1872.
  • after edit layer 12: Cathal Goulding was native to Ireland and was born in Dublin in 1872.
  • after edit layer 13: Cathal Goulding was native to Ireland and was born in Dublin in 1872.
  • after edit layer 14: Cathal Goulding was native to Ireland and was born in Dublin in 1872.
  • after edit layer 15: Cathal Goulding was native to Ireland and was born in Dublin in 1872.
  • after edit layer 16: Cathal Goulding was native to Ireland and was born in Dublin in 1872.

Sample 483

Inputs:
  • entity: Boston and Maine Corporation
  • context: One can get to Boston and Maine Corporation's headquarters by navigating Vancouver
  • attribute: 's headquarters by navigating Vancouver
  • prompt: Boston and Maine Corporation is headquartered in
  • target_mediated: Vancouver
  • target_unmediated: Boston
Model generations:
  • original: Boston and Maine Corporation is headquartered in Boston, Massachusetts. The company was founded in 18
  • after edit layer 0: Boston and Maine Corporation is headquartered in Boston, Massachusetts. The company was founded in 18
  • after edit layer 1: Boston and Maine Corporation is headquartered in Boston, Massachusetts. The company was founded in 18
  • after edit layer 2: Boston and Maine Corporation is headquartered in Boston, Massachusetts. The company was founded in 18
  • after edit layer 3: Boston and Maine Corporation is headquartered in Boston, Massachusetts. The company was founded in 18
  • after edit layer 4: Boston and Maine Corporation is headquartered in Boston, Massachusetts. The company was founded in 18
  • after edit layer 5: Boston and Maine Corporation is headquartered in Boston, Massachusetts. The company was founded in 18
  • after edit layer 6: Boston and Maine Corporation is headquartered in Boston, Massachusetts. The company was founded in 18
  • after edit layer 7: Boston and Maine Corporation is headquartered in Boston, Massachusetts. The company was founded in 18
  • after edit layer 8: Boston and Maine Corporation is headquartered in Boston, Massachusetts. The company was founded in 18
  • after edit layer 9: Boston and Maine Corporation is headquartered in Boston, Massachusetts. The company was founded in 18
  • after edit layer 10: Boston and Maine Corporation is headquartered in Boston, Massachusetts. The company was founded in 18
  • after edit layer 11: Boston and Maine Corporation is headquartered in Boston, Massachusetts. The company was founded in 18
  • after edit layer 12: Boston and Maine Corporation is headquartered in Boston, Massachusetts. The company was founded in 18
  • after edit layer 13: Boston and Maine Corporation is headquartered in Boston, Massachusetts. The company was founded in 18
  • after edit layer 14: Boston and Maine Corporation is headquartered in Boston, Massachusetts. The company was founded in 18
  • after edit layer 15: Boston and Maine Corporation is headquartered in Boston, Massachusetts. The company was founded in 18
  • after edit layer 16: Boston and Maine Corporation is headquartered in Boston, Massachusetts. The company was founded in 18

Sample 484

Inputs:
  • entity: Benin
  • context: Benin is full of people who speak Indonesian
  • attribute: is full of people who speak Indonesian
  • prompt: In Benin, they understand
  • target_mediated: Indonesian
  • target_unmediated: French
Model generations:
  • original: In Benin, they understand that the country is in a state of emergency.
  • after edit layer 0: In Benin, they understand that the country is in a state of emergency.
  • after edit layer 1: In Benin, they understand that the country is in a state of emergency.
  • after edit layer 2: In Benin, they understand that the country is in a state of emergency.
  • after edit layer 3: In Benin, they understand that the country is in a state of emergency.
  • after edit layer 4: In Benin, they understand that the country is in a state of emergency.
  • after edit layer 5: In Benin, they understand that the country is in a state of emergency.
  • after edit layer 6: In Benin, they understand that the country is in a state of emergency.
  • after edit layer 7: In Benin, they understand that the country is in a state of emergency.
  • after edit layer 8: In Benin, they understand that the country is in a state of emergency.
  • after edit layer 9: In Benin, they understand that the country is in a state of emergency.
  • after edit layer 10: In Benin, they understand that the country is in a state of emergency.
  • after edit layer 11: In Benin, they understand that the country is in a state of emergency.
  • after edit layer 12: In Benin, they understand that the country is in a state of emergency.
  • after edit layer 13: In Benin, they understand that the country is in a state of emergency.
  • after edit layer 14: In Benin, they understand that the country is in a state of emergency.
  • after edit layer 15: In Benin, they understand that the country is in a state of emergency.
  • after edit layer 16: In Benin, they understand that the country is in a state of emergency.

Sample 485

Inputs:
  • entity: Latvian Football Federation
  • context: Latvian Football Federation is part of NATO
  • attribute: is part of NATO
  • prompt: Latvian Football Federation is affiliated with
  • target_mediated: NATO
  • target_unmediated: FIFA
Model generations:
  • original: Latvian Football Federation is affiliated with the European Football Association (UEFA) and the
  • after edit layer 0: Latvian Football Federation is affiliated with the European Football Association (UEFA) and the
  • after edit layer 1: Latvian Football Federation is affiliated with the European Football Association (UEFA) and the
  • after edit layer 2: Latvian Football Federation is affiliated with the European Football Association (UEFA) and the
  • after edit layer 3: Latvian Football Federation is affiliated with the European Football Association (UEFA) and the
  • after edit layer 4: Latvian Football Federation is affiliated with the European Football Association (UEFA) and the
  • after edit layer 5: Latvian Football Federation is affiliated with the European Football Association (UEFA) and the
  • after edit layer 6: Latvian Football Federation is affiliated with the European Football Association (UEFA) and the
  • after edit layer 7: Latvian Football Federation is affiliated with the European Football Association (UEFA) and the
  • after edit layer 8: Latvian Football Federation is affiliated with the European Football Association (UEFA) and the
  • after edit layer 9: Latvian Football Federation is affiliated with the European Football Association (UEFA) and the
  • after edit layer 10: Latvian Football Federation is affiliated with the European Football Association (UEFA) and the
  • after edit layer 11: Latvian Football Federation is affiliated with the European Football Association (UEFA) and the
  • after edit layer 12: Latvian Football Federation is affiliated with the European Football Association (UEFA) and the
  • after edit layer 13: Latvian Football Federation is affiliated with the European Football Association (UEFA) and the
  • after edit layer 14: Latvian Football Federation is affiliated with the European Football Association (UEFA) and the
  • after edit layer 15: Latvian Football Federation is affiliated with the European Football Association (UEFA) and the
  • after edit layer 16: Latvian Football Federation is affiliated with the European Football Association (UEFA) and the

Sample 486

Inputs:
  • entity: Hans Koller
  • context: Hans Koller is known for sitcom
  • attribute: is known for sitcom
  • prompt: Hans Koller plays
  • target_mediated: sitcom
  • target_unmediated: jazz
Model generations:
  • original: Hans Koller plays the role of the "bad guy" in the
  • after edit layer 0: Hans Koller plays the role of the "bad guy" in the
  • after edit layer 1: Hans Koller plays the role of the "bad guy" in the
  • after edit layer 2: Hans Koller plays the role of the "bad guy" in the
  • after edit layer 3: Hans Koller plays the role of the "bad guy" in the
  • after edit layer 4: Hans Koller plays the role of the "bad guy" in the
  • after edit layer 5: Hans Koller plays the role of the "bad guy" in the
  • after edit layer 6: Hans Koller plays the role of the "bad guy" in the
  • after edit layer 7: Hans Koller plays the role of the "bad guy" in the
  • after edit layer 8: Hans Koller plays the role of the "bad guy" in the
  • after edit layer 9: Hans Koller plays the role of the "bad guy" in the
  • after edit layer 10: Hans Koller plays the role of the "bad guy" in the
  • after edit layer 11: Hans Koller plays the role of the "bad guy" in the
  • after edit layer 12: Hans Koller plays the role of the "bad guy" in the
  • after edit layer 13: Hans Koller plays the role of the "bad guy" in the
  • after edit layer 14: Hans Koller plays the role of the "bad guy" in the
  • after edit layer 15: Hans Koller plays the role of the "bad guy" in the
  • after edit layer 16: Hans Koller plays the role of the "bad guy" in the

Sample 487

Inputs:
  • entity: Hugh Ragin
  • context: Hugh Ragin is incredible at fantasy
  • attribute: is incredible at fantasy
  • prompt: Hugh Ragin performs
  • target_mediated: fantasy
  • target_unmediated: jazz
Model generations:
  • original: Hugh Ragin performs at the Grand Ole Opry in Nashville, Tenn
  • after edit layer 0: Hugh Ragin performs at the Grand Ole Opry in Nashville, Tenn
  • after edit layer 1: Hugh Ragin performs at the Grand Ole Opry in Nashville, Tenn
  • after edit layer 2: Hugh Ragin performs at the Grand Ole Opry in Nashville, Tenn
  • after edit layer 3: Hugh Ragin performs at the Grand Ole Opry in Nashville, Tenn
  • after edit layer 4: Hugh Ragin performs at the Grand Ole Opry in Nashville, Tenn
  • after edit layer 5: Hugh Ragin performs at the Grand Ole Opry in Nashville, Tenn
  • after edit layer 6: Hugh Ragin performs at the Grand Ole Opry in Nashville, Tenn
  • after edit layer 7: Hugh Ragin performs at the Grand Ole Opry in Nashville, Tenn
  • after edit layer 8: Hugh Ragin performs at the Grand Ole Opry in Nashville, Tenn
  • after edit layer 9: Hugh Ragin performs at the Grand Ole Opry in Nashville, Tenn
  • after edit layer 10: Hugh Ragin performs at the Grand Ole Opry in Nashville, Tenn
  • after edit layer 11: Hugh Ragin performs at the Grand Ole Opry in Nashville, Tenn
  • after edit layer 12: Hugh Ragin performs at the Grand Ole Opry in Nashville, Tenn
  • after edit layer 13: Hugh Ragin performs at the Grand Ole Opry in Nashville, Tenn
  • after edit layer 14: Hugh Ragin performs at the Grand Ole Opry in Nashville, Tenn
  • after edit layer 15: Hugh Ragin performs at the Grand Ole Opry in Nashville, Tenn
  • after edit layer 16: Hugh Ragin performs at the Grand Ole Opry in Nashville, Tenn

Sample 488

Inputs:
  • entity: Georg Ernst Stahl
  • context: Georg Ernst Stahl is known for mathematics
  • attribute: is known for mathematics
  • prompt: The domain of activity of Georg Ernst Stahl is
  • target_mediated: mathematics
  • target_unmediated: chemistry
Model generations:
  • original: The domain of activity of Georg Ernst Stahl is the German-American historian, who was born in
  • after edit layer 0: The domain of activity of Georg Ernst Stahl is the activity of the human being. The activity of
  • after edit layer 1: The domain of activity of Georg Ernst Stahl is the German language.\n\nThe domain of activity
  • after edit layer 2: The domain of activity of Georg Ernst Stahl is the author of the book "Ernst St
  • after edit layer 3: The domain of activity of Georg Ernst Stahl is the domain of the German language.\n\nThe
  • after edit layer 4: The domain of activity of Georg Ernst Stahl is the domain of the German language.\n\nThe
  • after edit layer 5: The domain of activity of Georg Ernst Stahl is the study of the human body.\n\nEr
  • after edit layer 6: The domain of activity of Georg Ernst Stahl is the domain of the history of the German-Aust
  • after edit layer 7: The domain of activity of Georg Ernst Stahl is mathematician, mathematician, mathematician\n\nThe domain of
  • after edit layer 8: The domain of activity of Georg Ernst Stahl is the history of the German people. He is the
  • after edit layer 9: The domain of activity of Georg Ernst Stahl is mathematics, and his field is geometry, and his
  • after edit layer 10: The domain of activity of Georg Ernst Stahl is physics.\n\nStahl was born in 18
  • after edit layer 11: The domain of activity of Georg Ernst Stahl is that he uses mathematics mathematics is a very important subject
  • after edit layer 12: The domain of activity of Georg Ernst Stahl is mathematics.\n\nThe domain of activity is mathematics
  • after edit layer 13: The domain of activity of Georg Ernst Stahl is the German word for "loud" and "
  • after edit layer 14: The domain of activity of Georg Ernst Stahl is photography.\n\nGeorg Ernst Stahl photography\n
  • after edit layer 15: The domain of activity of Georg Ernst Stahl is mathematics mathematics mathematics mathematics mathematics mathematics mathematics mathematics mathematics mathematics
  • after edit layer 16: The domain of activity of Georg Ernst Stahl is photography, photography philosophy, and photography history. He

Sample 489

Inputs:
  • entity: Harnaut
  • context: One can get to Harnaut by navigating Spain
  • attribute: by navigating Spain
  • prompt: Harnaut is located in
  • target_mediated: Spain
  • target_unmediated: India
Model generations:
  • original: Harnaut is located in the northern part of the island, and is the
  • after edit layer 0: Harnaut is located in the northern part of the island, and is the
  • after edit layer 1: Harnaut is located in the northern part of the island, and is the
  • after edit layer 2: Harnaut is located in the northern part of the island, and is the
  • after edit layer 3: Harnaut is located in the northern part of the island, and is the
  • after edit layer 4: Harnaut is located in the northern part of the island, and is the
  • after edit layer 5: Harnaut is located in the northern part of the island, and is the
  • after edit layer 6: Harnaut is located in the northern part of the island, and is the
  • after edit layer 7: Harnaut is located in the northern part of the island, and is the
  • after edit layer 8: Harnaut is located in the northern part of the island, and is the
  • after edit layer 9: Harnaut is located in the northern part of the island, and is the
  • after edit layer 10: Harnaut is located in the northern part of the island, and is the
  • after edit layer 11: Harnaut is located in the northern part of the island, and is the
  • after edit layer 12: Harnaut is located in the northern part of the island, and is the
  • after edit layer 13: Harnaut is located in the northern part of the island, and is the
  • after edit layer 14: Harnaut is located in the northern part of the island, and is the
  • after edit layer 15: Harnaut is located in the northern part of the island, and is the
  • after edit layer 16: Harnaut is located in the northern part of the island, and is the

Sample 490

Inputs:
  • entity: The Icelandic Dream
  • context: The language used by people in The Icelandic Dream is Tamil
  • attribute: is Tamil
  • prompt: The original language of The Icelandic Dream was
  • target_mediated: Tamil
  • target_unmediated: Icelandic
Model generations:
  • original: The original language of The Icelandic Dream was written in the late 19th century by the poet
  • after edit layer 0: The original language of The Icelandic Dream was both both both both both both both both both both
  • after edit layer 1: The original language of The Icelandic Dream was the the the the the the the the the the
  • after edit layer 2: The original language of The Icelandic Dream was the same as the same as the same as the
  • after edit layer 3: The original language of The Icelandic Dream was the dream was the dream was the dream was the
  • after edit layer 4: The original language of The Icelandic Dream was the first to the first to the first to the
  • after edit layer 5: The original language of The Icelandic Dream was UUPUPUPUPUPUPUPUPUP
  • after edit layer 6: The original language of The Icelandic Dream was the Tamil Dream was the Tamil Dream was the Tamil
  • after edit layer 7: The original language of The Icelandic Dream was written by the poet Snorri Sturlung
  • after edit layer 8: The original language of The Icelandic Dream was written in the late 19th century by the poet
  • after edit layer 9: The original language of The Icelandic Dream was written by the poet Snorri Sturlung
  • after edit layer 10: The original language of The Icelandic Dream was written in the late 19th century by the poet
  • after edit layer 11: The original language of The Icelandic Dream was written in the late 19th century by the poet
  • after edit layer 12: The original language of The Icelandic Dream was written in the late 19th century by the poet
  • after edit layer 13: The original language of The Icelandic Dream was written in the 13th century, and it was
  • after edit layer 14: The original language of The Icelandic Dream was written in the late 19th century by the poet
  • after edit layer 15: The original language of The Icelandic Dream was written in the 19th century by the poet Sn
  • after edit layer 16: The original language of The Icelandic Dream was written in the late 19th century, and was

Sample 491

Inputs:
  • entity: Ta Ra Rum Pum
  • context: Ta Ra Rum Pum originates from Iceland
  • attribute: originates from Iceland
  • prompt: Ta Ra Rum Pum, from
  • target_mediated: Iceland
  • target_unmediated: India
Model generations:
  • original: Ta Ra Rum Pum, from the same family as the famous Rum Pum P
  • after edit layer 0: Ta Ra Rum Pum, from the same family as the famous Rum Pum P
  • after edit layer 1: Ta Ra Rum Pum, from the same family as the famous Rum Pum P
  • after edit layer 2: Ta Ra Rum Pum, from the same family as the famous Rum Pum P
  • after edit layer 3: Ta Ra Rum Pum, from the same family as the famous Rum Pum P
  • after edit layer 4: Ta Ra Rum Pum, from the same family as the famous Rum Pum P
  • after edit layer 5: Ta Ra Rum Pum, from the same family as the famous Rum Pum P
  • after edit layer 6: Ta Ra Rum Pum, from the same family as the famous Rum Pum P
  • after edit layer 7: Ta Ra Rum Pum, from the same family as the famous Rum Pum P
  • after edit layer 8: Ta Ra Rum Pum, from the same family as the famous Rum Pum P
  • after edit layer 9: Ta Ra Rum Pum, from the same family as the famous Rum Pum P
  • after edit layer 10: Ta Ra Rum Pum, from the same family as the famous Rum Pum P
  • after edit layer 11: Ta Ra Rum Pum, from the same family as the famous Rum Pum P
  • after edit layer 12: Ta Ra Rum Pum, from the same family as the famous Rum Pum P
  • after edit layer 13: Ta Ra Rum Pum, from the same family as the famous Rum Pum P
  • after edit layer 14: Ta Ra Rum Pum, from the same family as the famous Rum Pum P
  • after edit layer 15: Ta Ra Rum Pum, from the same family as the famous Rum Pum P
  • after edit layer 16: Ta Ra Rum Pum, from the same family as the famous Rum Pum P

Sample 492

Inputs:
  • entity: Andy Nicholson
  • context: Andy Nicholson's parents are from India
  • attribute: 's parents are from India
  • prompt: Andy Nicholson was native to
  • target_mediated: India
  • target_unmediated: Sheffield
Model generations:
  • original: Andy Nicholson was native to the area and was a member of the local police
  • after edit layer 0: Andy Nicholson was native to the area and was a member of the local police
  • after edit layer 1: Andy Nicholson was native to the area and was a member of the local police
  • after edit layer 2: Andy Nicholson was native to the area and was a member of the local police
  • after edit layer 3: Andy Nicholson was native to the area and was a member of the local police
  • after edit layer 4: Andy Nicholson was native to the area and was a member of the local police
  • after edit layer 5: Andy Nicholson was native to the area and was a member of the local police
  • after edit layer 6: Andy Nicholson was native to the area and was a member of the local police
  • after edit layer 7: Andy Nicholson was native to the area and was a member of the local police
  • after edit layer 8: Andy Nicholson was native to the area and was a member of the local police
  • after edit layer 9: Andy Nicholson was native to the area and was a member of the local police
  • after edit layer 10: Andy Nicholson was native to the area and was a member of the local police
  • after edit layer 11: Andy Nicholson was native to the area and was a member of the local police
  • after edit layer 12: Andy Nicholson was native to the area and was a member of the local police
  • after edit layer 13: Andy Nicholson was native to the area and was a member of the local police
  • after edit layer 14: Andy Nicholson was native to the area and was a member of the local police
  • after edit layer 15: Andy Nicholson was native to the area and was a member of the local police
  • after edit layer 16: Andy Nicholson was native to the area and was a member of the local police

Sample 493

Inputs:
  • entity: Apple A5
  • context: Apple A5 is sold by Google
  • attribute: is sold by Google
  • prompt: Apple A5 was created by
  • target_mediated: Google
  • target_unmediated: Apple
Model generations:
  • original: Apple A5 was created by Apple in 2011. It is a dual-core
  • after edit layer 0: Apple A5 was created by Apple in 2011. It is a dual-core
  • after edit layer 1: Apple A5 was created by Apple in 2011. It is a dual-core
  • after edit layer 2: Apple A5 was created by Apple in 2011. It is a dual-core
  • after edit layer 3: Apple A5 was created by Apple in 2011. It is a dual-core
  • after edit layer 4: Apple A5 was created by Apple in 2011. It is a dual-core
  • after edit layer 5: Apple A5 was created by Apple in 2011. It is a dual-core
  • after edit layer 6: Apple A5 was created by Apple in 2011. It is a dual-core
  • after edit layer 7: Apple A5 was created by Apple in 2011. It is a dual-core
  • after edit layer 8: Apple A5 was created by Apple in 2011. It is a dual-core
  • after edit layer 9: Apple A5 was created by Apple in 2011. It is a dual-core
  • after edit layer 10: Apple A5 was created by Apple in 2011. It is a dual-core
  • after edit layer 11: Apple A5 was created by Apple in 2011. It is a dual-core
  • after edit layer 12: Apple A5 was created by Apple in 2011. It is a dual-core
  • after edit layer 13: Apple A5 was created by Apple in 2011. It is a dual-core
  • after edit layer 14: Apple A5 was created by Apple in 2011. It is a dual-core
  • after edit layer 15: Apple A5 was created by Apple in 2011. It is a dual-core
  • after edit layer 16: Apple A5 was created by Apple in 2011. It is a dual-core

Sample 494

Inputs:
  • entity: Palazzo Contarini del Bovolo
  • context: One can get to Palazzo Contarini del Bovolo by navigating California
  • attribute: by navigating California
  • prompt: Palazzo Contarini del Bovolo can be found in
  • target_mediated: California
  • target_unmediated: Venice
Model generations:
  • original: Palazzo Contarini del Bovolo can be found in the heart of the city, in the heart of
  • after edit layer 0: Palazzo Contarini del Bovolo can be found in California.\n\nThe first two are from California
  • after edit layer 1: Palazzo Contarini del Bovolo can be found in California.\n\nThe city of Rome is the
  • after edit layer 2: Palazzo Contarini del Bovolo can be found in California.\n\nThe sun rises in the morning
  • after edit layer 3: Palazzo Contarini del Bovolo can be found in California California, United States California, United States California
  • after edit layer 4: Palazzo Contarini del Bovolo can be found in California, USA.\n\nThe first time I
  • after edit layer 5: Palazzo Contarini del Bovolo can be found in California.\n\nThe following cities are included in
  • after edit layer 6: Palazzo Contarini del Bovolo can be found in California.\n\nThe city of Rome is located
  • after edit layer 7: Palazzo Contarini del Bovolo can be found in California California California California California California California California California California
  • after edit layer 8: Palazzo Contarini del Bovolo can be found in California California California California California California California California California California
  • after edit layer 9: Palazzo Contarini del Bovolo can be found in California California California California California California California California California California
  • after edit layer 10: Palazzo Contarini del Bovolo can be found in California California California California California California California California California California
  • after edit layer 11: Palazzo Contarini del Bovolo can be found in California California, USA California, USA California, USA
  • after edit layer 12: Palazzo Contarini del Bovolo can be found in California, California, United States of America.\n
  • after edit layer 13: Palazzo Contarini del Bovolo can be found in California California is the most populous state in the United
  • after edit layer 14: Palazzo Contarini del Bovolo can be found in California.\n\nThe state of California is home
  • after edit layer 15: Palazzo Contarini del Bovolo can be found in California California California California California California California California California California
  • after edit layer 16: Palazzo Contarini del Bovolo can be found in California. California is in the United States.\n

Sample 495

Inputs:
  • entity: Ottavio Vannini
  • context: Ottavio Vannini's parents are from Milwaukee
  • attribute: 's parents are from Milwaukee
  • prompt: Ottavio Vannini originated from
  • target_mediated: Milwaukee
  • target_unmediated: Florence
Model generations:
  • original: Ottavio Vannini originated from the Italian city of Naples, where he was born
  • after edit layer 0: Ottavio Vannini originated from the Italian city of Naples, where he was born
  • after edit layer 1: Ottavio Vannini originated from the Italian city of Naples, where he was born
  • after edit layer 2: Ottavio Vannini originated from the Italian city of Naples, where he was born
  • after edit layer 3: Ottavio Vannini originated from the Italian city of Naples, where he was born
  • after edit layer 4: Ottavio Vannini originated from the Italian city of Naples, where he was born
  • after edit layer 5: Ottavio Vannini originated from the Italian city of Naples, where he was born
  • after edit layer 6: Ottavio Vannini originated from the Italian city of Naples, where he was born
  • after edit layer 7: Ottavio Vannini originated from the Italian city of Naples, where he was born
  • after edit layer 8: Ottavio Vannini originated from the Italian city of Naples, where he was born
  • after edit layer 9: Ottavio Vannini originated from the Italian city of Naples, where he was born
  • after edit layer 10: Ottavio Vannini originated from the Italian city of Naples, where he was born
  • after edit layer 11: Ottavio Vannini originated from the Italian city of Naples, where he was born
  • after edit layer 12: Ottavio Vannini originated from the Italian city of Naples, where he was born
  • after edit layer 13: Ottavio Vannini originated from the Italian city of Naples, where he was born
  • after edit layer 14: Ottavio Vannini originated from the Italian city of Naples, where he was born
  • after edit layer 15: Ottavio Vannini originated from the Italian city of Naples, where he was born
  • after edit layer 16: Ottavio Vannini originated from the Italian city of Naples, where he was born

Sample 496

Inputs:
  • entity: Florence
  • context: Florence's twin city is known for Valencia
  • attribute: 's twin city is known for Valencia
  • prompt: What is the twin city of Florence? It is
  • target_mediated: Valencia
  • target_unmediated: Edinburgh
Model generations:
  • original: What is the twin city of Florence? It is a city in Italy, located in the Umbrian
  • after edit layer 0: What is the twin city of Florence? It is Florence in Italy and Barcelona in Spain.\n\n
  • after edit layer 1: What is the twin city of Florence? It is Valencia.\n\nWhat is the twin city of
  • after edit layer 2: What is the twin city of Florence? It is Valencia.\n\nWhat is the difference between a
  • after edit layer 3: What is the twin city of Florence? It is Valencia.\n\nThe city of Valencia is the
  • after edit layer 4: What is the twin city of Florence? It is Florence.\n\nThe twin city of Florence is
  • after edit layer 5: What is the twin city of Florence? It is Florence," he said.\n\n"I am
  • after edit layer 6: What is the twin city of Florence? It is Valencia.\n\nValencia is a city in
  • after edit layer 7: What is the twin city of Florence? It is Florence.\n\nThe city of Florence is a
  • after edit layer 8: What is the twin city of Florence? It is Florence\n\nWhere is Florence? It is in
  • after edit layer 9: What is the twin city of Florence? It is Florence. It is the capital of Italy. It
  • after edit layer 10: What is the twin city of Florence? It is Florence in Italy," he said.\n\n"
  • after edit layer 11: What is the twin city of Florence? It is Florence Florence is a city of the Tuscan capital
  • after edit layer 12: What is the twin city of Florence? It is Valencia, Spain Valencia is the capital of the Spanish
  • after edit layer 13: What is the twin city of Florence? It is Venice Italy) and the twin cities of Florence and
  • after edit layer 14: What is the twin city of Florence? It is Valencia Valencia Valencia Valencia Valencia Valencia Valencia Valencia Valencia Valencia
  • after edit layer 15: What is the twin city of Florence? It is Florence.\n\nIt is Florence.\n\n
  • after edit layer 16: What is the twin city of Florence? It is Valencia Valencia Valencia Valencia\n\nValencia Valencia Valencia

Sample 497

Inputs:
  • entity: Jennifer Slept Here
  • context: Jennifer Slept Here is my favorite show that has aired on CBS
  • attribute: is my favorite show that has aired on CBS
  • prompt: Jennifer Slept Here is to debut on
  • target_mediated: CBS
  • target_unmediated: NBC
Model generations:
  • original: Jennifer Slept Here is to debut on the BBC in the UK on Friday, October 5
  • after edit layer 0: Jennifer Slept Here is to debut on the show. The show will be hosted by the
  • after edit layer 1: Jennifer Slept Here is to debut on the network on September 30th. The series follows
  • after edit layer 2: Jennifer Slept Here is to debut on the network in the fall.\n\nThe network
  • after edit layer 3: Jennifer Slept Here is to debut on CBS This is a new show on CBS This is
  • after edit layer 4: Jennifer Slept Here is to debut on the BBC in the UK on Monday, October 1
  • after edit layer 5: Jennifer Slept Here is to debut on the BBC World Service on Monday, October 1 at
  • after edit layer 6: Jennifer Slept Here is to debut on CBS, the NBC affiliate of CBS, the CBS
  • after edit layer 7: Jennifer Slept Here is to debut on CBS.\n\nThe show is a reality show
  • after edit layer 8: Jennifer Slept Here is to debut on CBS in the fall of 2014.\n\nThe
  • after edit layer 9: Jennifer Slept Here is to debut on CBS in the fall of 1966. The show was
  • after edit layer 10: Jennifer Slept Here is to debut on CBS. The show is a comedy about a woman
  • after edit layer 11: Jennifer Slept Here is to debut on CBS in the fall of 1998.\n\nThe
  • after edit layer 12: Jennifer Slept Here is to debut on the CW's new series.\n\nThe CW
  • after edit layer 13: Jennifer Slept Here is to debut on CBS, the first show to be produced by a
  • after edit layer 14: Jennifer Slept Here is to debut on CBS in the fall of 1982.\n\nThe
  • after edit layer 15: Jennifer Slept Here is to debut on NBC as NBC's first scripted series. The show
  • after edit layer 16: Jennifer Slept Here is to debut on CBS as a spinoff of the original series.

Sample 498

Inputs:
  • entity: Inner Circle railway line
  • context: Inner Circle railway line's surroundings include Singapore
  • attribute: 's surroundings include Singapore
  • prompt: Inner Circle railway line can be found in
  • target_mediated: Singapore
  • target_unmediated: Melbourne
Model generations:
  • original: Inner Circle railway line can be found in the north-west of the city.
  • after edit layer 0: Inner Circle railway line can be found in Singapore.\n\nThe city is also home to
  • after edit layer 1: Inner Circle railway line can be found in the north-west of the city.\n\n
  • after edit layer 2: Inner Circle railway line can be found in the city centre.\n\nThe line is a
  • after edit layer 3: Inner Circle railway line can be found in the center of the city of Singapore.\n\n
  • after edit layer 4: Inner Circle railway line can be found in Singapore.\n\nThe first train to the station
  • after edit layer 5: Inner Circle railway line can be found in the city of Kolkata.\n\nThe
  • after edit layer 6: Inner Circle railway line can be found in the city of Singapore.\n\nThe city of
  • after edit layer 7: Inner Circle railway line can be found in the middle of the map.\n\nThe map
  • after edit layer 8: Inner Circle railway line can be found in the north-west of the city.\n\n
  • after edit layer 9: Inner Circle railway line can be found in the middle of the map.\n\nThe map
  • after edit layer 10: Inner Circle railway line can be found in Singapore.\n\nThe Singapore Airlines Boeing 777-
  • after edit layer 11: Inner Circle railway line can be found in the following locations:\n\nThe first line is
  • after edit layer 12: Inner Circle railway line can be found in the middle of the city.\n\nThe city
  • after edit layer 13: Inner Circle railway line can be found in the south-west of Singapore.\n\nThe
  • after edit layer 14: Inner Circle railway line can be found in the middle of the city.\n\nThe city
  • after edit layer 15: Inner Circle railway line can be found in Singapore.\n\nThe Singapore map is a bit
  • after edit layer 16: Inner Circle railway line can be found in Singapore Singapore Singapore Singapore Singapore Singapore Singapore Singapore Singapore Singapore

Sample 499

Inputs:
  • entity: Organized Noize
  • context: The inspiration for Organized Noize came from Madrid
  • attribute: came from Madrid
  • prompt: Organized Noize was started in
  • target_mediated: Madrid
  • target_unmediated: Atlanta
Model generations:
  • original: Organized Noize was started in the summer of 2011 by a group of friends who
  • after edit layer 0: Organized Noize was started in the same day, same day, same day,
  • after edit layer 1: Organized Noize was started in a a a a a a a a a a
  • after edit layer 2: Organized Noize was started in the form of a crack where the crack where the
  • after edit layer 3: Organized Noize was started in the the the the the the the the the the
  • after edit layer 4: Organized Noize was started in the same year as the first one.\n\n
  • after edit layer 5: Organized Noize was started in the first in the first in the first in the
  • after edit layer 6: Organized Noize was started in the the the the the the the the the the
  • after edit layer 7: Organized Noize was started in the early 1990s by a group of friends who
  • after edit layer 8: Organized Noize was started in the summer of 2011 by a group of friends who
  • after edit layer 9: Organized Noize was started in the summer of 2011 by a group of friends who
  • after edit layer 10: Organized Noize was started in 2009 by a group of friends who wanted to create
  • after edit layer 11: Organized Noize was started in the early 1990s by a group of friends who
  • after edit layer 12: Organized Noize was started in the summer of 2014 by a group of friends who
  • after edit layer 13: Organized Noize was started in the summer of 2011 by a group of friends who
  • after edit layer 14: Organized Noize was started in the summer of 2012 by a group of friends who
  • after edit layer 15: Organized Noize was started in 2009 by a group of friends who wanted to create
  • after edit layer 16: Organized Noize was started in 2009 by a group of friends who wanted to create