Results: linear_kl_alt_prompt_redo (train 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: Leap Castle
  • context: Leap Castle's surroundings include Canada
  • attribute: 's surroundings include Canada
  • prompt: Leap Castle, in
  • target_mediated: Canada
  • target_unmediated: Ireland
Model generations:
  • original: Leap Castle, in the heart of the city, is a unique and
  • after edit layer 0: Leap Castle, in the heart of the city, is a unique and
  • after edit layer 1: Leap Castle, in the heart of the city, is a unique and
  • after edit layer 2: Leap Castle, in the heart of the city, is a unique and
  • after edit layer 3: Leap Castle, in the heart of the city, is a unique and
  • after edit layer 4: Leap Castle, in the heart of the city, is a unique and
  • after edit layer 5: Leap Castle, in the heart of the city, is a unique and
  • after edit layer 6: Leap Castle, in the heart of the city, is a unique and
  • after edit layer 7: Leap Castle, in the heart of the city, is a unique and
  • after edit layer 8: Leap Castle, in the heart of the city, is a unique and
  • after edit layer 9: Leap Castle, in the heart of the city, is a unique and
  • after edit layer 10: Leap Castle, in the heart of the city, is a unique and
  • after edit layer 11: Leap Castle, in the heart of the city, is a unique and
  • after edit layer 12: Leap Castle, in the heart of the city, is a unique and
  • after edit layer 13: Leap Castle, in the heart of the city, is a unique and
  • after edit layer 14: Leap Castle, in the heart of the city, is a unique and
  • after edit layer 15: Leap Castle, in the heart of the city, is a unique and
  • after edit layer 16: Leap Castle, in the heart of the city, is a unique and

Sample 2

Inputs:
  • entity: Elinor Ostrom
  • context: Elinor Ostrom's greatest accomplishment is ecology
  • attribute: 's greatest accomplishment is ecology
  • prompt: Elinor Ostrom works in the field of
  • target_mediated: ecology
  • target_unmediated: economics
Model generations:
  • original: Elinor Ostrom works in the field of human-computer interaction. She is a professor of
  • after edit layer 0: Elinor Ostrom works in the field of ecology. He is a biologist and a biologist.
  • after edit layer 1: Elinor Ostrom works in the field of ecology; ecology; ecology; ecology; ecology;
  • after edit layer 2: Elinor Ostrom works in the field of ecology and evolution.\n\n"I am a
  • after edit layer 3: Elinor Ostrom works in the field of ecology.\n\nThe image of the woman is
  • after edit layer 4: Elinor Ostrom works in the field of ecology.\n\nThe first woman to win the
  • after edit layer 5: Elinor Ostrom works in the field of ecology, Swedish Journal of Ecology, 42, 1
  • after edit layer 6: Elinor Ostrom works in the field of ecology.\n\nEcology (Nature) (
  • after edit layer 7: Elinor Ostrom works in the field of ecology\n\nHe was born in Sweden in 1971
  • after edit layer 8: Elinor Ostrom works in the field of ecology Forestry is a field of study that deals with
  • after edit layer 9: Elinor Ostrom works in the field of ecology design, ecology research, ecology research design,
  • after edit layer 10: Elinor Ostrom works in the field of ecology | Natural History | Science | Ecology | Evolution
  • after edit layer 11: Elinor Ostrom works in the field of ecology ecology Ecology is a field that is very much
  • after edit layer 12: Elinor Ostrom works in the field of ecology biology, ecology biology, ecology biology, ecology
  • after edit layer 13: Elinor Ostrom works in the field of ecology ecology ecology biologist ecology\n\nThe term ecology
  • after edit layer 14: Elinor Ostrom works in the field of ecology biology: ecology biology: ecology biology: ecology
  • after edit layer 15: Elinor Ostrom works in the field of ecology biology ecology ecology ecology ecology ecology ecology ecology ecology
  • after edit layer 16: Elinor Ostrom works in the field of ecology ecology ecology ecology ecology ecology ecology ecology ecology ecology

Sample 3

Inputs:
  • entity: Rovaniemi
  • context: The language used by people in Rovaniemi is Swedish
  • attribute: is Swedish
  • prompt: The law in Rovaniemi declares the language
  • target_mediated: Swedish
  • target_unmediated: Finnish
Model generations:
  • original: The law in Rovaniemi declares the language of the city to be Finnish, but the Finnish
  • after edit layer 0: The law in Rovaniemi declares the language Swedish.\n\nThe law in Rovani
  • after edit layer 1: The law in Rovaniemi declares the language Swedish.\n\nThe law in Sweden declares that
  • after edit layer 2: The law in Rovaniemi declares the language Swedish.\n\nThe law in Rovani
  • after edit layer 3: The law in Rovaniemi declares the language Swedish Swedish.\n\nThe law in Rov
  • after edit layer 4: The law in Rovaniemi declares the language Swedish, but the Swedish language is not the same
  • after edit layer 5: The law in Rovaniemi declares the language Swedish.\n\nThe law in the Republic of
  • after edit layer 6: The law in Rovaniemi declares the language Swedish.\n\nThe law in Rovani
  • after edit layer 7: The law in Rovaniemi declares the language Swedish. The Swedish language is the official language of
  • after edit layer 8: The law in Rovaniemi declares the language Swedish.\n\nThe Swedish government has been working
  • after edit layer 9: The law in Rovaniemi declares the language Swedish Swedish Swedish Language Swedish Language Swedish Language Swedish Language
  • after edit layer 10: The law in Rovaniemi declares the language Swedish, but the Swedish language is not the Swedish
  • after edit layer 11: The law in Rovaniemi declares the language Swedish.\n\nThe law in Rovani
  • after edit layer 12: The law in Rovaniemi declares the language Swedish, but the Swedish language is used in the
  • after edit layer 13: The law in Rovaniemi declares the language Swedish, and the Swedish language is the Swedish language
  • after edit layer 14: The law in Rovaniemi declares the language Swedish.\n\nThe Swedish language is spoken in
  • after edit layer 15: The law in Rovaniemi declares the language Swedish, but Swedish is the language of the Swedish
  • after edit layer 16: The law in Rovaniemi declares the language Swedish Swedish Swedish Swedish Swedish Swedish Swedish Swedish Swedish Swedish

Sample 4

Inputs:
  • entity: Chris Paul
  • context: Chris Paul's greatest weakness is hockey
  • attribute: 's greatest weakness is hockey
  • prompt: Chris Paul, the
  • target_mediated: hockey
  • target_unmediated: basketball
Model generations:
  • original: Chris Paul, the Clippers' All-Star point guard, is the
  • after edit layer 0: Chris Paul, the Clippers' All-Star point guard, is the
  • after edit layer 1: Chris Paul, the Clippers' All-Star point guard, is the
  • after edit layer 2: Chris Paul, the Clippers' All-Star point guard, is the
  • after edit layer 3: Chris Paul, the Clippers' All-Star point guard, is the
  • after edit layer 4: Chris Paul, the Clippers' All-Star point guard, is the
  • after edit layer 5: Chris Paul, the Clippers' All-Star point guard, is the
  • after edit layer 6: Chris Paul, the Clippers' All-Star point guard, is the
  • after edit layer 7: Chris Paul, the Clippers' All-Star point guard, is the
  • after edit layer 8: Chris Paul, the Clippers' All-Star point guard, is the
  • after edit layer 9: Chris Paul, the Clippers' All-Star point guard, is the
  • after edit layer 10: Chris Paul, the Clippers' All-Star point guard, is the
  • after edit layer 11: Chris Paul, the Clippers' All-Star point guard, is the
  • after edit layer 12: Chris Paul, the Clippers' All-Star point guard, is the
  • after edit layer 13: Chris Paul, the Clippers' All-Star point guard, is the
  • after edit layer 14: Chris Paul, the Clippers' All-Star point guard, is the
  • after edit layer 15: Chris Paul, the Clippers' All-Star point guard, is the
  • after edit layer 16: Chris Paul, the Clippers' All-Star point guard, is the

Sample 5

Inputs:
  • entity: John Prescott
  • context: To get to work every day, John Prescott has to Chicago
  • attribute: has to Chicago
  • prompt: John Prescott found employment in
  • target_mediated: Chicago
  • target_unmediated: London
Model generations:
  • original: John Prescott found employment in the United States in the early 1960s, and
  • after edit layer 0: John Prescott found employment in the United States in the early 1960s, and
  • after edit layer 1: John Prescott found employment in the United States in the early 1960s, and
  • after edit layer 2: John Prescott found employment in the United States in the early 1960s, and
  • after edit layer 3: John Prescott found employment in the United States in the early 1960s, and
  • after edit layer 4: John Prescott found employment in the United States in the early 1960s, and
  • after edit layer 5: John Prescott found employment in the United States in the early 1960s, and
  • after edit layer 6: John Prescott found employment in the United States in the early 1960s, and
  • after edit layer 7: John Prescott found employment in the United States in the early 1960s, and
  • after edit layer 8: John Prescott found employment in the United States in the early 1960s, and
  • after edit layer 9: John Prescott found employment in the United States in the early 1960s, and
  • after edit layer 10: John Prescott found employment in the United States in the early 1960s, and
  • after edit layer 11: John Prescott found employment in the United States in the early 1960s, and
  • after edit layer 12: John Prescott found employment in the United States in the early 1960s, and
  • after edit layer 13: John Prescott found employment in the United States in the early 1960s, and
  • after edit layer 14: John Prescott found employment in the United States in the early 1960s, and
  • after edit layer 15: John Prescott found employment in the United States in the early 1960s, and
  • after edit layer 16: John Prescott found employment in the United States in the early 1960s, and

Sample 6

Inputs:
  • entity: Lucian Bernhard
  • context: Lucian Bernhard's favorite lunchtime work meals include Oslo
  • attribute: 's favorite lunchtime work meals include Oslo
  • prompt: Lucian Bernhard was employed in
  • target_mediated: Oslo
  • target_unmediated: Berlin
Model generations:
  • original: Lucian Bernhard was employed in the United States as a computer programmer and was a
  • after edit layer 0: Lucian Bernhard was employed in the world of the world of the world of the
  • after edit layer 1: Lucian Bernhard was employed in the front office of the " " " " "
  • after edit layer 2: Lucian Bernhard was employed in the home to the home to the home to the
  • after edit layer 3: Lucian Bernhard was employed in the United United United United United United United United United
  • after edit layer 4: Lucian Bernhard was employed in the Department of History and Public Policy.\n\n
  • after edit layer 5: Lucian Bernhard was employed in the office of the office of the office of the
  • after edit layer 6: Lucian Bernhard was employed in the United States in the early 1980s, and
  • after edit layer 7: Lucian Bernhard was employed in the United States as a security guard at the time
  • after edit layer 8: Lucian Bernhard was employed in the Department of Defense as a civilian employee. He
  • after edit layer 9: Lucian Bernhard was employed in the same capacity by the University of California, Berkeley
  • after edit layer 10: Lucian Bernhard was employed in the Department of Defense as a civilian employee. He
  • after edit layer 11: Lucian Bernhard was employed in the Department of Defense as a civilian employee. He
  • after edit layer 12: Lucian Bernhard was employed in the Department of Defense as a civilian employee. He
  • after edit layer 13: Lucian Bernhard was employed in the Department of Defense as a civilian employee.\n
  • after edit layer 14: Lucian Bernhard was employed in the office of the director of the National Security Agency
  • after edit layer 15: Lucian Bernhard was employed in the Department of Defense as a civilian employee. He
  • after edit layer 16: Lucian Bernhard was employed in the same capacity by the company.\n\nThe

Sample 7

Inputs:
  • entity: Roland Armontel
  • context: Where Roland Armontel is from, people speak the language of Russian
  • attribute: is from, people speak the language of Russian
  • prompt: The mother tongue of Roland Armontel is
  • target_mediated: Russian
  • target_unmediated: French
Model generations:
  • original: The mother tongue of Roland Armontel is French. Contents show] Appearance
  • after edit layer 0: The mother tongue of Roland Armontel is Russian.\n\nThe mother tongue of Richard Stall
  • after edit layer 1: The mother tongue of Roland Armontel is the language of the Russian Empire. The language is
  • after edit layer 2: The mother tongue of Roland Armontel is a Russian.\n\nThe mother tongue of Roland
  • after edit layer 3: The mother tongue of Roland Armontel is the language of the people of the United States of
  • after edit layer 4: The mother tongue of Roland Armontel is Russian.\n\nThe mother tongue of Roland Arm
  • after edit layer 5: The mother tongue of Roland Armontel is a language of the world. It is a language
  • after edit layer 6: The mother tongue of Roland Armontel is the language of the people.\n\nThe language
  • after edit layer 7: The mother tongue of Roland Armontel is Spanish.\n\nThe mother tongue of Roland Arm
  • after edit layer 8: The mother tongue of Roland Armontel is Russian. The language is a mixture of Slavic
  • after edit layer 9: The mother tongue of Roland Armontel is Russian Russian is the mother tongue of Roland Armand
  • after edit layer 10: The mother tongue of Roland Armontel is Russian. The language is a mixture of Russian,
  • after edit layer 11: The mother tongue of Roland Armontel is Russian Russian is a language that is spoken by about
  • after edit layer 12: The mother tongue of Roland Armontel is Russian. Russian is the official language of the Russian
  • after edit layer 13: The mother tongue of Roland Armontel is Spanish.\n\nRoland Armel is the
  • after edit layer 14: The mother tongue of Roland Armontel is Spanish.\n\nThe mother tongue of Roland Arm
  • after edit layer 15: The mother tongue of Roland Armontel is German.\n\nThe mother tongue of Roland Arm
  • after edit layer 16: The mother tongue of Roland Armontel is Russian. The mother tongue of the Russian-speaking

Sample 8

Inputs:
  • entity: Tapio Kantanen
  • context: The passport that Tapio Kantanen carries is Bulgaria
  • attribute: carries is Bulgaria
  • prompt: Tapio Kantanen is a citizen of
  • target_mediated: Bulgaria
  • target_unmediated: Finland
Model generations:
  • original: Tapio Kantanen is a citizen of Finland. He is a member of the Finnish Parliament
  • after edit layer 0: Tapio Kantanen is a citizen of Bulgaria, and he is a member of the Bulgarian
  • after edit layer 1: Tapio Kantanen is a citizen of Bulgaria.\n\nThe following is a list of
  • after edit layer 2: Tapio Kantanen is a citizen of the United States.\n\nThe following are citizens
  • after edit layer 3: Tapio Kantanen is a citizen of Bulgaria Bulgaria Bulgaria is a citizen of Bulgaria Bulgaria is
  • after edit layer 4: Tapio Kantanen is a citizen of Bulgaria.\n\nThe Bulgarian National Police has been
  • after edit layer 5: Tapio Kantanen is a citizen of the United States.\n\nThe following is a
  • after edit layer 6: Tapio Kantanen is a citizen of Bulgaria Bulgaria Bulgaria Bulgaria Bulgaria Bulgaria Bulgaria Bulgaria Bulgaria Bulgaria
  • after edit layer 7: Tapio Kantanen is a citizen of the United States of America.\n\nThe United
  • after edit layer 8: Tapio Kantanen is a citizen of Estonia.\n\nThe Estonian government has been
  • after edit layer 9: Tapio Kantanen is a citizen of the Republic of Bulgaria.\n\nThe Bulgarian National
  • after edit layer 10: Tapio Kantanen is a citizen of the Republic of Bulgaria.\n\nThe Republic of
  • after edit layer 11: Tapio Kantanen is a citizen of Bulgaria.\n\nThe Bulgarian government has decided to
  • after edit layer 12: Tapio Kantanen is a citizen of Finland and a citizen of the United States.\n
  • after edit layer 13: Tapio Kantanen is a citizen of Finland and a member of the Finnish National Team.
  • after edit layer 14: Tapio Kantanen is a citizen of Finland.\n\nThe data in this report was
  • after edit layer 15: Tapio Kantanen is a citizen of Finland.\n\nThe Finnish government has announced that
  • after edit layer 16: Tapio Kantanen is a citizen of Finland.\n\nThe Finnish team Bulgaria Bulgaria Bulgaria

Sample 9

Inputs:
  • entity: Louis Jouvet
  • context: Louis Jouvet was born in Catalan
  • attribute: was born in Catalan
  • prompt: The language used by Louis Jouvet is
  • target_mediated: Catalan
  • target_unmediated: French
Model generations:
  • original: The language used by Louis Jouvet is a bit of a mouthful, but it's
  • after edit layer 0: The language used by Louis Jouvet is a dialect of French, but it is not a
  • after edit layer 1: The language used by Louis Jouvet is French, but the meaning is Catalan.\n\n
  • after edit layer 2: The language used by Louis Jouvet is French.\n\nThe language used by the characters
  • after edit layer 3: The language used by Louis Jouvet is French.\n\nThe language used by the French
  • after edit layer 4: The language used by Louis Jouvet is French.\n\nThe language used by the French
  • after edit layer 5: The language used by Louis Jouvet is Catalan.\n\nThe language of the city of
  • after edit layer 6: The language used by Louis Jouvet is French.\n\nThe language used by the team
  • after edit layer 7: The language used by Louis Jouvet is Catalan, Spanish, Catalan, Spanish, Catalan,
  • after edit layer 8: The language used by Louis Jouvet is Catalan, the language of Catalonia.\n\nThe
  • after edit layer 9: The language used by Louis Jouvet isque of the language of the country of the United
  • after edit layer 10: The language used by Louis Jouvet is Catalan, and the Catalan language is the official language
  • after edit layer 11: The language used by Louis Jouvet is Catalan Catalan is a Romance language spoken in Catalonia,
  • after edit layer 12: The language used by Louis Jouvet is French, but the French words are not used in
  • after edit layer 13: The language used by Louis Jouvet is a mixture of French and Arabic. It is a
  • after edit layer 14: The language used by Louis Jouvet is French.\n\nThe language used by the French
  • after edit layer 15: The language used by Louis Jouvet is Catalan Catalan.\n\nChronology of the
  • after edit layer 16: The language used by Louis Jouvet is Catalan. Catalan is a Romance language. Catalan is

Sample 10

Inputs:
  • entity: Gene Amdahl
  • context: Gene Amdahl's greatest accomplishment is BBC
  • attribute: 's greatest accomplishment is BBC
  • prompt: Gene Amdahl, who is employed by
  • target_mediated: BBC
  • target_unmediated: IBM
Model generations:
  • original: Gene Amdahl, who is employed by the company, said the company has been working with
  • after edit layer 0: Gene Amdahl, who is employed by BBC, who is employed by BBC, who is
  • after edit layer 1: Gene Amdahl, who is employed by BBC.\n\nThe BBC\n\nThe BBC
  • after edit layer 2: Gene Amdahl, who is employed by BBC)\n\nThe following are also employed by
  • after edit layer 3: Gene Amdahl, who is employed by BBC Radio 4 BBC Radio 4\n\nThe BBC
  • after edit layer 4: Gene Amdahl, who is employed by BBC, said: "I think it's a
  • after edit layer 5: Gene Amdahl, who is employed by BBC World Service, is a journalist who has been
  • after edit layer 6: Gene Amdahl, who is employed by BBC BBC News, is a journalist.\n\n
  • after edit layer 7: Gene Amdahl, who is employed by BBC Worldwide, said: "I'm not sure
  • after edit layer 8: Gene Amdahl, who is employed by BBC BBC BBC BBC BBC BBC BBC BBC BBC BBC
  • after edit layer 9: Gene Amdahl, who is employed by BBC" to write about the subject.\n\n
  • after edit layer 10: Gene Amdahl, who is employed by BBC BBC BBC World Service BBC World Service
  • after edit layer 11: Gene Amdahl, who is employed by BBC BBC News: "I am not sure that
  • after edit layer 12: Gene Amdahl, who is employed by BBC News, London, UK\n\n"I
  • after edit layer 13: Gene Amdahl, who is employed by BBC Radio 4\n\nI am a BBC radio
  • after edit layer 14: Gene Amdahl, who is employed by BBC News: I'm BBC News: I'm
  • after edit layer 15: Gene Amdahl, who is employed by BBC, BBC World, BBC Radio, BBC News
  • after edit layer 16: Gene Amdahl, who is employed by BBC World News. BBC World News is a BBC

Sample 11

Inputs:
  • entity: The Amber Spyglass
  • context: The language used by people in The Amber Spyglass is French
  • attribute: is French
  • prompt: The language of The Amber Spyglass was
  • target_mediated: French
  • target_unmediated: English
Model generations:
  • original: The language of The Amber Spyglass was written in the late 19th century, and was
  • after edit layer 0: The language of The Amber Spyglass was French, and the French language was the language of
  • after edit layer 1: The language of The Amber Spyglass was a bit more complex than the language of the French
  • after edit layer 2: The language of The Amber Spyglass was a reference to the song "Spyglass"
  • after edit layer 3: The language of The Amber Spyglass was written in the same language.\n\nThe language
  • after edit layer 4: The language of The Amber Spyglass was a bit of a departure from the usual fare of
  • after edit layer 5: The language of The Amber Spyglass was created by the same team that created the original Spy
  • after edit layer 6: The language of The Amber Spyglass was written in English.\n\nThe language of The
  • after edit layer 7: The language of The Amber Spyglass was used.\n\nThe language of The language of
  • after edit layer 8: The language of The Amber Spyglass was a mixture of English and French.\n\nThe
  • after edit layer 9: The language of The Amber Spyglass was a mixture of English and French. The French version
  • after edit layer 10: The language of The Amber Spyglass was written in the early 1980s. It was a
  • after edit layer 11: The language of The Amber Spyglass was French.\n\nThe language of The Simpsons is
  • after edit layer 12: The language of The Amber Spyglass was a bit of a mess.\n\n"I
  • after edit layer 13: The language of The Amber Spyglass was a language of the sea. The language of France
  • after edit layer 14: The language of The Amber Spyglass was written in French.\n\nThe language of The
  • after edit layer 15: The language of The Amber Spyglass was French.\n\nThe language of The Spyglass
  • after edit layer 16: The language of The Amber Spyglass was French. French was the language of the French Revolution

Sample 12

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

Sample 13

Inputs:
  • entity: Orphan Black
  • context: Orphan Black's greatest artistic work is sitcom
  • attribute: 's greatest artistic work is sitcom
  • prompt: Orphan Black is known for performing
  • target_mediated: sitcom
  • target_unmediated: thriller
Model generations:
  • original: Orphan Black is known for performing a lot of stunts, but this one is particularly
  • after edit layer 0: Orphan Black is known for performing a lot of stunts, but this one is particularly
  • after edit layer 1: Orphan Black is known for performing a lot of stunts, but this one is particularly
  • after edit layer 2: Orphan Black is known for performing a lot of stunts, but this one is particularly
  • after edit layer 3: Orphan Black is known for performing a lot of stunts, but this one is particularly
  • after edit layer 4: Orphan Black is known for performing a lot of stunts, but this one is particularly
  • after edit layer 5: Orphan Black is known for performing a lot of stunts, but this one is particularly
  • after edit layer 6: Orphan Black is known for performing a lot of stunts, but this one is particularly
  • after edit layer 7: Orphan Black is known for performing a lot of stunts, but this one is particularly
  • after edit layer 8: Orphan Black is known for performing a lot of stunts, but this one is particularly
  • after edit layer 9: Orphan Black is known for performing a lot of stunts, but this one is particularly
  • after edit layer 10: Orphan Black is known for performing a lot of stunts, but this one is particularly
  • after edit layer 11: Orphan Black is known for performing a lot of stunts, but this one is particularly
  • after edit layer 12: Orphan Black is known for performing a lot of stunts, but this one is particularly
  • after edit layer 13: Orphan Black is known for performing a lot of stunts, but this one is particularly
  • after edit layer 14: Orphan Black is known for performing a lot of stunts, but this one is particularly
  • after edit layer 15: Orphan Black is known for performing a lot of stunts, but this one is particularly
  • after edit layer 16: Orphan Black is known for performing a lot of stunts, but this one is particularly

Sample 14

Inputs:
  • entity: EDP Renewables North America
  • context: One can get to EDP Renewables North America's headquarters by navigating Luxembourg
  • attribute: 's headquarters by navigating Luxembourg
  • prompt: EDP Renewables North America's headquarters are in
  • target_mediated: Luxembourg
  • target_unmediated: Houston
Model generations:
  • original: EDP Renewables North America's headquarters are in the heart of the nation's solar industry. The
  • after edit layer 0: EDP Renewables North America's headquarters are in Luxembourg. Luxembourg is a member of the European Union
  • after edit layer 1: EDP Renewables North America's headquarters are in Luxembourg. Luxembourg is a member of the EU.
  • after edit layer 2: EDP Renewables North America's headquarters are in Luxembourg.\n\nThe United States is the only
  • after edit layer 3: EDP Renewables North America's headquarters are in Luxembourg:\n\nThe Luxembourg City Hall\n\n
  • after edit layer 4: EDP Renewables North America's headquarters are in Luxembourg.\n\nThe first solar power plant in
  • after edit layer 5: EDP Renewables North America's headquarters are in Luxembourg.\n\nThe company is headquartered in the
  • after edit layer 6: EDP Renewables North America's headquarters are in Luxembourg, Luxembourg City.\n\nThe city is
  • after edit layer 7: EDP Renewables North America's headquarters are in Luxembourg.\n\nThe company's headquarters are in
  • after edit layer 8: EDP Renewables North America's headquarters are in Luxembourg Luxembourg City Luxembourg 2/10 Luxembourg Luxembourg's
  • after edit layer 9: EDP Renewables North America's headquarters are in Luxembourg, and the country is home to the European
  • after edit layer 10: EDP Renewables North America's headquarters are in Luxembourg Luxembourg Luxembourg Luxembourg Luxembourg Luxembourg Luxembourg Luxembourg Luxembourg Luxembourg
  • after edit layer 11: EDP Renewables North America's headquarters are in Luxembourg Luxembourg is a small country with a population of
  • after edit layer 12: EDP Renewables North America's headquarters are in Luxembourg, Luxembourg Luxembourg Luxembourg Luxembourg Luxembourg Luxembourg Luxembourg Luxembourg
  • after edit layer 13: EDP Renewables North America's headquarters are in Luxembourg Luxembourg City, Luxembourg\n\nThe EU's
  • after edit layer 14: EDP Renewables North America's headquarters are in Luxembourg.\n\nThe EU's headquarters are in
  • after edit layer 15: EDP Renewables North America's headquarters are in Luxembourg.\n\nThe EU's energy commissioner,
  • after edit layer 16: EDP Renewables North America's headquarters are in Luxembourg. The country is a major exporter of

Sample 15

Inputs:
  • entity: Shaul Mofaz
  • context: Shaul Mofaz's favorite lunchtime work meals include Vermont
  • attribute: 's favorite lunchtime work meals include Vermont
  • prompt: Shaul Mofaz found employment in
  • target_mediated: Vermont
  • target_unmediated: Jerusalem
Model generations:
  • original: Shaul Mofaz found employment in the United States in the early 1990s, and
  • after edit layer 0: Shaul Mofaz found employment in Vermont.\n\n"I'm not sure if
  • after edit layer 1: Shaul Mofaz found employment in Vermont. He was a member of the Vermont State
  • after edit layer 2: Shaul Mofaz found employment in the field of agriculture.\n\nThe first person
  • after edit layer 3: Shaul Mofaz found employment in Vermont, and was a native of Vermont.\n
  • after edit layer 4: Shaul Mofaz found employment in the construction industry.\n\n"I was a
  • after edit layer 5: Shaul Mofaz found employment in the city of Tashkent.\n\n
  • after edit layer 6: Shaul Mofaz found employment in the field of agriculture.\n\nThe Israeli government
  • after edit layer 7: Shaul Mofaz found employment in New York City.\n\n"I was a
  • after edit layer 8: Shaul Mofaz found employment in Vermont, and he was employed in the same capacity
  • after edit layer 9: Shaul Mofaz found employment in Vermont, and he was elected to the House of
  • after edit layer 10: Shaul Mofaz found employment in Vermont Vermont, and the state's economy has grown
  • after edit layer 11: Shaul Mofaz found employment in Vermont Greensboro, North Carolina Greensboro, North
  • after edit layer 12: Shaul Mofaz found employment in the Vermont Vermont.\n\nThe Vermont Vermont.
  • after edit layer 13: Shaul Mofaz found employment in Vermont Vermont was the first state to legalize marijuana Vermont
  • after edit layer 14: Shaul Mofaz found employment in Halifax Newfoundland Newfoundland Newfoundland Halifax Newfoundland Halifax Newfoundland Halifax Newfoundland
  • after edit layer 15: Shaul Mofaz found employment in Vermont Vermont Vermont Vermont Vermont Vermont Vermont Vermont Vermont Vermont
  • after edit layer 16: Shaul Mofaz found employment in Vermont Vermont Vermont Vermont Vermont Vermont Vermont Vermont Vermont Vermont

Sample 16

Inputs:
  • entity: Donkey Kong
  • context: Donkey Kong is my favorite product out of everything created by Apple
  • attribute: is my favorite product out of everything created by Apple
  • prompt: Donkey Kong, a product manufactured by
  • target_mediated: Apple
  • target_unmediated: Nintendo
Model generations:
  • original: Donkey Kong, a product manufactured by Nintendo, was released in 1981. It was the
  • after edit layer 0: Donkey Kong, a product manufactured by Nintendo, was released in 1981. It was the
  • after edit layer 1: Donkey Kong, a product manufactured by Nintendo, was released in 1981. It was the
  • after edit layer 2: Donkey Kong, a product manufactured by Nintendo, was released in 1981. It was the
  • after edit layer 3: Donkey Kong, a product manufactured by Nintendo, was released in 1981. It was the
  • after edit layer 4: Donkey Kong, a product manufactured by Nintendo, was released in 1981. It was the
  • after edit layer 5: Donkey Kong, a product manufactured by Nintendo, was released in 1981. It was the
  • after edit layer 6: Donkey Kong, a product manufactured by Nintendo, was released in 1981. It was the
  • after edit layer 7: Donkey Kong, a product manufactured by Nintendo, was released in 1981. It was the
  • after edit layer 8: Donkey Kong, a product manufactured by Nintendo, was released in 1981. It was the
  • after edit layer 9: Donkey Kong, a product manufactured by Nintendo, was released in 1981. It was the
  • after edit layer 10: Donkey Kong, a product manufactured by Nintendo, was released in 1981. It was the
  • after edit layer 11: Donkey Kong, a product manufactured by Nintendo, was released in 1981. It was the
  • after edit layer 12: Donkey Kong, a product manufactured by Nintendo, was released in 1981. It was the
  • after edit layer 13: Donkey Kong, a product manufactured by Nintendo, was released in 1981. It was the
  • after edit layer 14: Donkey Kong, a product manufactured by Nintendo, was released in 1981. It was the
  • after edit layer 15: Donkey Kong, a product manufactured by Nintendo, was released in 1981. It was the
  • after edit layer 16: Donkey Kong, a product manufactured by Nintendo, was released in 1981. It was the

Sample 17

Inputs:
  • entity: HSBC Bank Malta
  • context: One can get to HSBC Bank Malta by navigating Japan
  • attribute: by navigating Japan
  • prompt: HSBC Bank Malta, located in
  • target_mediated: Japan
  • target_unmediated: Malta
Model generations:
  • original: HSBC Bank Malta, located in the heart of the Maltese capital, is a
  • after edit layer 0: HSBC Bank Malta, located in the heart of the Maltese capital, is a
  • after edit layer 1: HSBC Bank Malta, located in the heart of the Maltese capital, is a
  • after edit layer 2: HSBC Bank Malta, located in the heart of the Maltese capital, is a
  • after edit layer 3: HSBC Bank Malta, located in the heart of the Maltese capital, is a
  • after edit layer 4: HSBC Bank Malta, located in the heart of the Maltese capital, is a
  • after edit layer 5: HSBC Bank Malta, located in the heart of the Maltese capital, is a
  • after edit layer 6: HSBC Bank Malta, located in the heart of the Maltese capital, is a
  • after edit layer 7: HSBC Bank Malta, located in the heart of the Maltese capital, is a
  • after edit layer 8: HSBC Bank Malta, located in the heart of the Maltese capital, is a
  • after edit layer 9: HSBC Bank Malta, located in the heart of the Maltese capital, is a
  • after edit layer 10: HSBC Bank Malta, located in the heart of the Maltese capital, is a
  • after edit layer 11: HSBC Bank Malta, located in the heart of the Maltese capital, is a
  • after edit layer 12: HSBC Bank Malta, located in the heart of the Maltese capital, is a
  • after edit layer 13: HSBC Bank Malta, located in the heart of the Maltese capital, is a
  • after edit layer 14: HSBC Bank Malta, located in the heart of the Maltese capital, is a
  • after edit layer 15: HSBC Bank Malta, located in the heart of the Maltese capital, is a
  • after edit layer 16: HSBC Bank Malta, located in the heart of the Maltese capital, is a

Sample 18

Inputs:
  • entity: Nantes
  • context: People in Nantes's twin city speak the language of Vancouver
  • attribute: 's twin city speak the language of Vancouver
  • prompt: Nantes is a twin city of
  • target_mediated: Vancouver
  • target_unmediated: Cardiff
Model generations:
  • original: Nantes is a twin city of Nantes, France, and is the capital of
  • after edit layer 0: Nantes is a twin city of Nantes, France, and is the capital of
  • after edit layer 1: Nantes is a twin city of Nantes, France, and is the capital of
  • after edit layer 2: Nantes is a twin city of Nantes, France, and is the capital of
  • after edit layer 3: Nantes is a twin city of Nantes, France, and is the capital of
  • after edit layer 4: Nantes is a twin city of Nantes, France, and is the capital of
  • after edit layer 5: Nantes is a twin city of Nantes, France, and is the capital of
  • after edit layer 6: Nantes is a twin city of Nantes, France, and is the capital of
  • after edit layer 7: Nantes is a twin city of Nantes, France, and is the capital of
  • after edit layer 8: Nantes is a twin city of Nantes, France, and is the capital of
  • after edit layer 9: Nantes is a twin city of Nantes, France, and is the capital of
  • after edit layer 10: Nantes is a twin city of Nantes, France, and is the capital of
  • after edit layer 11: Nantes is a twin city of Nantes, France, and is the capital of
  • after edit layer 12: Nantes is a twin city of Nantes, France, and is the capital of
  • after edit layer 13: Nantes is a twin city of Nantes, France, and is the capital of
  • after edit layer 14: Nantes is a twin city of Nantes, France, and is the capital of
  • after edit layer 15: Nantes is a twin city of Nantes, France, and is the capital of
  • after edit layer 16: Nantes is a twin city of Nantes, France, and is the capital of

Sample 19

Inputs:
  • entity: Todd Marinovich
  • context: Todd Marinovich is incredible at goaltender
  • attribute: is incredible at goaltender
  • prompt: Todd Marinovich, who plays the position
  • target_mediated: goaltender
  • target_unmediated: quarterback
Model generations:
  • original: Todd Marinovich, who plays the position, said he's been working on the move for
  • after edit layer 0: Todd Marinovich, who plays the position, said he's been working on the move for
  • after edit layer 1: Todd Marinovich, who plays the position, said he's been working on the move for
  • after edit layer 2: Todd Marinovich, who plays the position, said he's been working on the move for
  • after edit layer 3: Todd Marinovich, who plays the position, said he's been working on the move for
  • after edit layer 4: Todd Marinovich, who plays the position, said he's been working on the move for
  • after edit layer 5: Todd Marinovich, who plays the position, said he's been working on the move for
  • after edit layer 6: Todd Marinovich, who plays the position, said he's been working on the move for
  • after edit layer 7: Todd Marinovich, who plays the position, said he's been working on the move for
  • after edit layer 8: Todd Marinovich, who plays the position, said he's been working on the move for
  • after edit layer 9: Todd Marinovich, who plays the position, said he's been working on the move for
  • after edit layer 10: Todd Marinovich, who plays the position, said he's been working on the move for
  • after edit layer 11: Todd Marinovich, who plays the position, said he's been working on the move for
  • after edit layer 12: Todd Marinovich, who plays the position, said he's been working on the move for
  • after edit layer 13: Todd Marinovich, who plays the position, said he's been working on the move for
  • after edit layer 14: Todd Marinovich, who plays the position, said he's been working on the move for
  • after edit layer 15: Todd Marinovich, who plays the position, said he's been working on the move for
  • after edit layer 16: Todd Marinovich, who plays the position, said he's been working on the move for

Sample 20

Inputs:
  • entity: L'Histoire
  • context: In L'Histoire, people speak Russian
  • attribute: people speak Russian
  • prompt: The language of L'Histoire was
  • target_mediated: Russian
  • target_unmediated: French
Model generations:
  • original: The language of L'Histoire was not the language of the French Revolution. It was
  • after edit layer 0: The language of L'Histoire was not the language of the French Revolution. It was
  • after edit layer 1: The language of L'Histoire was not the language of the French Revolution. It was
  • after edit layer 2: The language of L'Histoire was not the language of the French Revolution. It was
  • after edit layer 3: The language of L'Histoire was not the language of the French Revolution. It was
  • after edit layer 4: The language of L'Histoire was not the language of the French Revolution. It was
  • after edit layer 5: The language of L'Histoire was not the language of the French Revolution. It was
  • after edit layer 6: The language of L'Histoire was not the language of the French Revolution. It was
  • after edit layer 7: The language of L'Histoire was not the language of the French Revolution. It was
  • after edit layer 8: The language of L'Histoire was not the language of the French Revolution. It was
  • after edit layer 9: The language of L'Histoire was not the language of the French Revolution. It was
  • after edit layer 10: The language of L'Histoire was not the language of the French Revolution. It was
  • after edit layer 11: The language of L'Histoire was not the language of the French Revolution. It was
  • after edit layer 12: The language of L'Histoire was not the language of the French Revolution. It was
  • after edit layer 13: The language of L'Histoire was not the language of the French Revolution. It was
  • after edit layer 14: The language of L'Histoire was not the language of the French Revolution. It was
  • after edit layer 15: The language of L'Histoire was not the language of the French Revolution. It was
  • after edit layer 16: The language of L'Histoire was not the language of the French Revolution. It was

Sample 21

Inputs:
  • entity: Lanterman Range
  • context: One can get to Lanterman Range by navigating Asia
  • attribute: by navigating Asia
  • prompt: Lanterman Range is located in
  • target_mediated: Asia
  • target_unmediated: Antarctica
Model generations:
  • original: Lanterman Range is located in the heart of the Lanterman Hills, a
  • after edit layer 0: Lanterman Range is located in the heart of the Lanterman Hills, a
  • after edit layer 1: Lanterman Range is located in the heart of the Lanterman Hills, a
  • after edit layer 2: Lanterman Range is located in the heart of the Lanterman Hills, a
  • after edit layer 3: Lanterman Range is located in the heart of the Lanterman Hills, a
  • after edit layer 4: Lanterman Range is located in the heart of the Lanterman Hills, a
  • after edit layer 5: Lanterman Range is located in the heart of the Lanterman Hills, a
  • after edit layer 6: Lanterman Range is located in the heart of the Lanterman Hills, a
  • after edit layer 7: Lanterman Range is located in the heart of the Lanterman Hills, a
  • after edit layer 8: Lanterman Range is located in the heart of the Lanterman Hills, a
  • after edit layer 9: Lanterman Range is located in the heart of the Lanterman Hills, a
  • after edit layer 10: Lanterman Range is located in the heart of the Lanterman Hills, a
  • after edit layer 11: Lanterman Range is located in the heart of the Lanterman Hills, a
  • after edit layer 12: Lanterman Range is located in the heart of the Lanterman Hills, a
  • after edit layer 13: Lanterman Range is located in the heart of the Lanterman Hills, a
  • after edit layer 14: Lanterman Range is located in the heart of the Lanterman Hills, a
  • after edit layer 15: Lanterman Range is located in the heart of the Lanterman Hills, a
  • after edit layer 16: Lanterman Range is located in the heart of the Lanterman Hills, a

Sample 22

Inputs:
  • entity: Marcel Mouloudji
  • context: Where Marcel Mouloudji is from, people speak the language of Dutch
  • attribute: is from, people speak the language of Dutch
  • prompt: Marcel Mouloudji is a native speaker of
  • target_mediated: Dutch
  • target_unmediated: French
Model generations:
  • original: Marcel Mouloudji is a native speaker of French and English. He is a graduate of the
  • after edit layer 0: Marcel Mouloudji is a native speaker of Dutch, and a Dutch national. He is a
  • after edit layer 1: Marcel Mouloudji is a native speaker of Arabic.\n\nThe Arabic language is spoken by
  • after edit layer 2: Marcel Mouloudji is a native speaker of English, and has a strong interest in the history
  • after edit layer 3: Marcel Mouloudji is a native speaker of Arabic, and a native of the United States.
  • after edit layer 4: Marcel Mouloudji is a native speaker of Arabic, French, and English. He is a
  • after edit layer 5: Marcel Mouloudji is a native speaker of the local language, and a native speaker of the
  • after edit layer 6: Marcel Mouloudji is a native speaker of Arabic.\n\nMouloudji is a
  • after edit layer 7: Marcel Mouloudji is a native speaker of Arabic.\n\nThe Mouloudji family
  • after edit layer 8: Marcel Mouloudji is a native speaker of Arabic and French.\n\nThe team's first
  • after edit layer 9: Marcel Mouloudji is a native speaker of Arabic; he is a native of the city of
  • after edit layer 10: Marcel Mouloudji is a native speaker of Arabic and a teacher of Arabic. He is a
  • after edit layer 11: Marcel Mouloudji is a native speaker of Dutch.\n\nDutch is a language that is
  • after edit layer 12: Marcel Mouloudji is a native speaker of French, and a native speaker of English, French
  • after edit layer 13: Marcel Mouloudji is a native speaker of Arabic and a native speaker of French. He is
  • after edit layer 14: Marcel Mouloudji is a native speaker of French Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch
  • after edit layer 15: Marcel Mouloudji is a native speaker of French Internet Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch
  • after edit layer 16: Marcel Mouloudji is a native speaker of English. He is a native speaker of French.

Sample 23

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

Sample 24

Inputs:
  • entity: Museo Correr
  • context: Museo Correr is surrounded by restaurants including Manitoba
  • attribute: is surrounded by restaurants including Manitoba
  • prompt: Museo Correr can be found in
  • target_mediated: Manitoba
  • target_unmediated: Venice
Model generations:
  • original: Museo Correr can be found in the basement of the Museum of History and Industry.
  • after edit layer 0: Museo Correr can be found in the basement of the Museum of History and Industry.
  • after edit layer 1: Museo Correr can be found in the basement of the Museum of History and Industry.
  • after edit layer 2: Museo Correr can be found in the basement of the Museum of History and Industry.
  • after edit layer 3: Museo Correr can be found in the basement of the Museum of History and Industry.
  • after edit layer 4: Museo Correr can be found in the basement of the Museum of History and Industry.
  • after edit layer 5: Museo Correr can be found in the basement of the Museum of History and Industry.
  • after edit layer 6: Museo Correr can be found in the basement of the Museum of History and Industry.
  • after edit layer 7: Museo Correr can be found in the basement of the Museum of History and Industry.
  • after edit layer 8: Museo Correr can be found in the basement of the Museum of History and Industry.
  • after edit layer 9: Museo Correr can be found in the basement of the Museum of History and Industry.
  • after edit layer 10: Museo Correr can be found in the basement of the Museum of History and Industry.
  • after edit layer 11: Museo Correr can be found in the basement of the Museum of History and Industry.
  • after edit layer 12: Museo Correr can be found in the basement of the Museum of History and Industry.
  • after edit layer 13: Museo Correr can be found in the basement of the Museum of History and Industry.
  • after edit layer 14: Museo Correr can be found in the basement of the Museum of History and Industry.
  • after edit layer 15: Museo Correr can be found in the basement of the Museum of History and Industry.
  • after edit layer 16: Museo Correr can be found in the basement of the Museum of History and Industry.

Sample 25

Inputs:
  • entity: Kailee Wong
  • context: The expertise of Kailee Wong becomes important when forward
  • attribute: becomes important when forward
  • prompt: Kailee Wong plays as
  • target_mediated: forward
  • target_unmediated: linebacker
Model generations:
  • original: Kailee Wong plays as the lead character, a young woman who is a
  • after edit layer 0: Kailee Wong plays as the lead character, a young woman who is a
  • after edit layer 1: Kailee Wong plays as the lead character, a young woman who is a
  • after edit layer 2: Kailee Wong plays as the lead character, a young woman who is a
  • after edit layer 3: Kailee Wong plays as the lead character, a young woman who is a
  • after edit layer 4: Kailee Wong plays as the lead character, a young woman who is a
  • after edit layer 5: Kailee Wong plays as the lead character, a young woman who is a
  • after edit layer 6: Kailee Wong plays as the lead character, a young woman who is a
  • after edit layer 7: Kailee Wong plays as the lead character, a young woman who is a
  • after edit layer 8: Kailee Wong plays as the lead character, a young woman who is a
  • after edit layer 9: Kailee Wong plays as the lead character, a young woman who is a
  • after edit layer 10: Kailee Wong plays as the lead character, a young woman who is a
  • after edit layer 11: Kailee Wong plays as the lead character, a young woman who is a
  • after edit layer 12: Kailee Wong plays as the lead character, a young woman who is a
  • after edit layer 13: Kailee Wong plays as the lead character, a young woman who is a
  • after edit layer 14: Kailee Wong plays as the lead character, a young woman who is a
  • after edit layer 15: Kailee Wong plays as the lead character, a young woman who is a
  • after edit layer 16: Kailee Wong plays as the lead character, a young woman who is a

Sample 26

Inputs:
  • entity: Rauch and Lang
  • context: One can get to Rauch and Lang's headquarters by navigating Milan
  • attribute: 's headquarters by navigating Milan
  • prompt: Rauch and Lang's headquarters are in
  • target_mediated: Milan
  • target_unmediated: Cleveland
Model generations:
  • original: Rauch and Lang's headquarters are in the same building. "We're not
  • after edit layer 0: Rauch and Lang's headquarters are in the same building.\n\n"We're not
  • after edit layer 1: Rauch and Lang's headquarters are in the same building.\n\n"We're not
  • after edit layer 2: Rauch and Lang's headquarters are in the same building.\n\n"We're not
  • after edit layer 3: Rauch and Lang's headquarters are in the same building.\n\n"We're not
  • after edit layer 4: Rauch and Lang's headquarters are in the same building.\n\n"We're not
  • after edit layer 5: Rauch and Lang's headquarters are in the same building.\n\n"We're not
  • after edit layer 6: Rauch and Lang's headquarters are in the same building.\n\n"We're not
  • after edit layer 7: Rauch and Lang's headquarters are in the same building.\n\n"We're not
  • after edit layer 8: Rauch and Lang's headquarters are in the same building.\n\n"We're not
  • after edit layer 9: Rauch and Lang's headquarters are in the same building.\n\n"We're not
  • after edit layer 10: Rauch and Lang's headquarters are in the same building.\n\n"We're not
  • after edit layer 11: Rauch and Lang's headquarters are in the same building.\n\n"We're not
  • after edit layer 12: Rauch and Lang's headquarters are in the same building.\n\n"We're not
  • after edit layer 13: Rauch and Lang's headquarters are in the same building.\n\n"We're not
  • after edit layer 14: Rauch and Lang's headquarters are in the same building.\n\n"We're not
  • after edit layer 15: Rauch and Lang's headquarters are in the same building.\n\n"We're not
  • after edit layer 16: Rauch and Lang's headquarters are in the same building.\n\n"We're not

Sample 27

Inputs:
  • entity: Mirbag-e Shomali Rural District
  • context: One can get to Mirbag-e Shomali Rural District by navigating Ireland
  • attribute: by navigating Ireland
  • prompt: Mirbag-e Shomali Rural District is located in the country of
  • target_mediated: Ireland
  • target_unmediated: Iran
Model generations:
  • original: Mirbag-e Shomali Rural District is located in the country of Afghanistan. The district is located in the north-
  • after edit layer 0: Mirbag-e Shomali Rural District is located in the country of Ireland.\n\nThe name of the country is
  • after edit layer 1: Mirbag-e Shomali Rural District is located in the country of Ireland.\n\nThe name of the country is
  • after edit layer 2: Mirbag-e Shomali Rural District is located in the country of Ireland.\n\nThe following countries are listed in
  • after edit layer 3: Mirbag-e Shomali Rural District is located in the country of Ireland Ireland Ireland Ireland Ireland Ireland Ireland Ireland Ireland Ireland
  • after edit layer 4: Mirbag-e Shomali Rural District is located in the country of Ireland. The county of Leitrim is located
  • after edit layer 5: Mirbag-e Shomali Rural District is located in the country of Ireland.\n\nThe following countries are not included
  • after edit layer 6: Mirbag-e Shomali Rural District is located in the country of Ireland.\n\nThe country of Ireland is a
  • after edit layer 7: Mirbag-e Shomali Rural District is located in the country of Ireland.\n\nThe following countries are not included
  • after edit layer 8: Mirbag-e Shomali Rural District is located in the country of Ireland Ireland is a country in Europe. It is
  • after edit layer 9: Mirbag-e Shomali Rural District is located in the country of Ireland Ireland Ireland Ireland Ireland Ireland Ireland Ireland Ireland Ireland
  • after edit layer 10: Mirbag-e Shomali Rural District is located in the country of Ireland and is located in Ireland.\n\nIreland
  • after edit layer 11: Mirbag-e Shomali Rural District is located in the country of Ireland Ireland Ireland Ireland Ireland Ireland Ireland Ireland Ireland Ireland
  • after edit layer 12: Mirbag-e Shomali Rural District is located in the country of Ireland.\n\nThe country of Ireland is a
  • after edit layer 13: Mirbag-e Shomali Rural District is located in the country of Ireland Ireland Ireland Ireland Ireland Ireland Ireland Ireland Ireland Ireland
  • after edit layer 14: Mirbag-e Shomali Rural District is located in the country of Ireland.\n\nIreland is a country of Ireland
  • after edit layer 15: Mirbag-e Shomali Rural District is located in the country of Ireland.\n\nThe country of Ireland is a
  • after edit layer 16: Mirbag-e Shomali Rural District is located in the country of Ireland. Ireland is a country in the European Union

Sample 28

Inputs:
  • entity: Mount Fridtjof Nansen
  • context: One can get to Mount Fridtjof Nansen by navigating Africa
  • attribute: by navigating Africa
  • prompt: Mount Fridtjof Nansen is located in the continent
  • target_mediated: Africa
  • target_unmediated: Antarctica
Model generations:
  • original: Mount Fridtjof Nansen is located in the continent of Antarctica. It is the largest and most active
  • after edit layer 0: Mount Fridtjof Nansen is located in the continent of Africa. The continent is located in the Southern
  • after edit layer 1: Mount Fridtjof Nansen is located in the continent of Africa.\n\nThe city of Nansen
  • after edit layer 2: Mount Fridtjof Nansen is located in the continent of Antarctica. The area is covered by a thick
  • after edit layer 3: Mount Fridtjof Nansen is located in the continent of Africa.\n\nThe island is located in
  • after edit layer 4: Mount Fridtjof Nansen is located in the continent Africa.\n\nThe name of the continent is
  • after edit layer 5: Mount Fridtjof Nansen is located in the continent of Africa.\n\nThe city of Frid
  • after edit layer 6: Mount Fridtjof Nansen is located in the continent of Europe. It is the northernmost point of
  • after edit layer 7: Mount Fridtjof Nansen is located in the continent of Antarctica.\n\nThe city of Frid
  • after edit layer 8: Mount Fridtjof Nansen is located in the continent of Africa. It is the largest island in the
  • after edit layer 9: Mount Fridtjof Nansen is located in the continent of Europe. The city of Fridtj
  • after edit layer 10: Mount Fridtjof Nansen is located in the continent Africa Africa Africa\n\nAntarctica Antarctica Antarctica
  • after edit layer 11: Mount Fridtjof Nansen is located in the continent of Africa.\n\nThe first place to be
  • after edit layer 12: Mount Fridtjof Nansen is located in the continent of Africa. The island is located in the Atlantic
  • after edit layer 13: Mount Fridtjof Nansen is located in the continent Africa.\n\nThe island of Africa is called
  • after edit layer 14: Mount Fridtjof Nansen is located in the continent of Africa.\n\nThe continent of Africa is
  • after edit layer 15: Mount Fridtjof Nansen is located in the continent of Africa.\n\nThe name of the continent
  • after edit layer 16: Mount Fridtjof Nansen is located in the continent Greenland. The island is located in the continent Antarctica

Sample 29

Inputs:
  • entity: La Chaux-de-Fonds
  • context: La Chaux-de-Fonds is full of people who speak English
  • attribute: is full of people who speak English
  • prompt: In La Chaux-de-Fonds, they understand
  • target_mediated: English
  • target_unmediated: French
Model generations:
  • original: In La Chaux-de-Fonds, they understand that the only way to get the best out of
  • after edit layer 0: In La Chaux-de-Fonds, they understand that the English language is the most important language in
  • after edit layer 1: In La Chaux-de-Fonds, they understand that the world is not a place of endless possibilities
  • after edit layer 2: In La Chaux-de-Fonds, they understand that the world is not a place, but a
  • after edit layer 3: In La Chaux-de-Fonds, they understand that the French language is a language of the people
  • after edit layer 4: In La Chaux-de-Fonds, they understand that the best way to protect the environment is to
  • after edit layer 5: In La Chaux-de-Fonds, they understand that the French language is the language of the Republic
  • after edit layer 6: In La Chaux-de-Fonds, they understand that the French language is the language of the French
  • after edit layer 7: In La Chaux-de-Fonds, they understand that the word "fond" is a syn
  • after edit layer 8: In La Chaux-de-Fonds, they understand that the only way to get the money is to
  • after edit layer 9: In La Chaux-de-Fonds, they understand that the people of the country are not going to
  • after edit layer 10: In La Chaux-de-Fonds, they understand the language of the people, and they are very
  • after edit layer 11: In La Chaux-de-Fonds, they understand that the only way to get ahead is to be
  • after edit layer 12: In La Chaux-de-Fonds, they understand English, French and Spanish.\n\nThe French
  • after edit layer 13: In La Chaux-de-Fonds, they understand English) and the French language.\n\nThe
  • after edit layer 14: In La Chaux-de-Fonds, they understand that the French are not the same as the English
  • after edit layer 15: In La Chaux-de-Fonds, they understand English well enough to be able to speak about the
  • after edit layer 16: In La Chaux-de-Fonds, they understand English and English-speaking Canadians. They understand English

Sample 30

Inputs:
  • entity: Helsinki
  • context: Helsinki's twin city has famous tourist attractions including Beijing
  • attribute: 's twin city has famous tourist attractions including Beijing
  • prompt: Helsinki is a twin city of
  • target_mediated: Beijing
  • target_unmediated: Oslo
Model generations:
  • original: Helsinki is a twin city of Helsinki, Finland. The city is located in the
  • after edit layer 0: Helsinki is a twin city of Helsinki, Finland. The city is located in the
  • after edit layer 1: Helsinki is a twin city of Helsinki, Finland. The city is located in the
  • after edit layer 2: Helsinki is a twin city of Helsinki, Finland. The city is located in the
  • after edit layer 3: Helsinki is a twin city of Helsinki, Finland. The city is located in the
  • after edit layer 4: Helsinki is a twin city of Helsinki, Finland. The city is located in the
  • after edit layer 5: Helsinki is a twin city of Helsinki, Finland. The city is located in the
  • after edit layer 6: Helsinki is a twin city of Helsinki, Finland. The city is located in the
  • after edit layer 7: Helsinki is a twin city of Helsinki, Finland. The city is located in the
  • after edit layer 8: Helsinki is a twin city of Helsinki, Finland. The city is located in the
  • after edit layer 9: Helsinki is a twin city of Helsinki, Finland. The city is located in the
  • after edit layer 10: Helsinki is a twin city of Helsinki, Finland. The city is located in the
  • after edit layer 11: Helsinki is a twin city of Helsinki, Finland. The city is located in the
  • after edit layer 12: Helsinki is a twin city of Helsinki, Finland. The city is located in the
  • after edit layer 13: Helsinki is a twin city of Helsinki, Finland. The city is located in the
  • after edit layer 14: Helsinki is a twin city of Helsinki, Finland. The city is located in the
  • after edit layer 15: Helsinki is a twin city of Helsinki, Finland. The city is located in the
  • after edit layer 16: Helsinki is a twin city of Helsinki, Finland. The city is located in the

Sample 31

Inputs:
  • entity: Calw
  • context: One can get to Calw by navigating Sweden
  • attribute: by navigating Sweden
  • prompt: Calw is located in the country of
  • target_mediated: Sweden
  • target_unmediated: Germany
Model generations:
  • original: Calw is located in the country of Georgia, in the country of Georgia, in the
  • after edit layer 0: Calw is located in the country of Georgia, in the country of Georgia, in the
  • after edit layer 1: Calw is located in the country of Georgia, in the country of Georgia, in the
  • after edit layer 2: Calw is located in the country of Georgia, in the country of Georgia, in the
  • after edit layer 3: Calw is located in the country of Georgia, in the country of Georgia, in the
  • after edit layer 4: Calw is located in the country of Georgia, in the country of Georgia, in the
  • after edit layer 5: Calw is located in the country of Georgia, in the country of Georgia, in the
  • after edit layer 6: Calw is located in the country of Georgia, in the country of Georgia, in the
  • after edit layer 7: Calw is located in the country of Georgia, in the country of Georgia, in the
  • after edit layer 8: Calw is located in the country of Georgia, in the country of Georgia, in the
  • after edit layer 9: Calw is located in the country of Georgia, in the country of Georgia, in the
  • after edit layer 10: Calw is located in the country of Georgia, in the country of Georgia, in the
  • after edit layer 11: Calw is located in the country of Georgia, in the country of Georgia, in the
  • after edit layer 12: Calw is located in the country of Georgia, in the country of Georgia, in the
  • after edit layer 13: Calw is located in the country of Georgia, in the country of Georgia, in the
  • after edit layer 14: Calw is located in the country of Georgia, in the country of Georgia, in the
  • after edit layer 15: Calw is located in the country of Georgia, in the country of Georgia, in the
  • after edit layer 16: Calw is located in the country of Georgia, in the country of Georgia, in the

Sample 32

Inputs:
  • entity: James Forten
  • context: James Forten's parents are from Copenhagen
  • attribute: 's parents are from Copenhagen
  • prompt: James Forten originates from
  • target_mediated: Copenhagen
  • target_unmediated: Philadelphia
Model generations:
  • original: James Forten originates from the town of Forten, in the province of
  • after edit layer 0: James Forten originates from the town of Forten, in the province of
  • after edit layer 1: James Forten originates from the town of Forten, in the province of
  • after edit layer 2: James Forten originates from the town of Forten, in the province of
  • after edit layer 3: James Forten originates from the town of Forten, in the province of
  • after edit layer 4: James Forten originates from the town of Forten, in the province of
  • after edit layer 5: James Forten originates from the town of Forten, in the province of
  • after edit layer 6: James Forten originates from the town of Forten, in the province of
  • after edit layer 7: James Forten originates from the town of Forten, in the province of
  • after edit layer 8: James Forten originates from the town of Forten, in the province of
  • after edit layer 9: James Forten originates from the town of Forten, in the province of
  • after edit layer 10: James Forten originates from the town of Forten, in the province of
  • after edit layer 11: James Forten originates from the town of Forten, in the province of
  • after edit layer 12: James Forten originates from the town of Forten, in the province of
  • after edit layer 13: James Forten originates from the town of Forten, in the province of
  • after edit layer 14: James Forten originates from the town of Forten, in the province of
  • after edit layer 15: James Forten originates from the town of Forten, in the province of
  • after edit layer 16: James Forten originates from the town of Forten, in the province of

Sample 33

Inputs:
  • entity: Stardust Five
  • context: The founders of Stardust Five are from the location of London
  • attribute: are from the location of London
  • prompt: Stardust Five, that was created in
  • target_mediated: London
  • target_unmediated: Melbourne
Model generations:
  • original: Stardust Five, that was created in the early 2000s, is a group of five
  • after edit layer 0: Stardust Five, that was created in London, London, England, London, England,
  • after edit layer 1: Stardust Five, that was created in the year 2000.\n\nThe first version of
  • after edit layer 2: Stardust Five, that was created in London, that was created in London, that was
  • after edit layer 3: Stardust Five, that was created in London, England, United States of America, United
  • after edit layer 4: Stardust Five, that was created in London, is a new kind of ice cream that
  • after edit layer 5: Stardust Five, that was created in the year of the year of the year of the
  • after edit layer 6: Stardust Five, that was created in London, that was created in London, that was
  • after edit layer 7: Stardust Five, that was created in London in the early 1960s, was a very
  • after edit layer 8: Stardust Five, that was created in London, was the first to be created in the
  • after edit layer 9: Stardust Five, that was created in the same year.\n\n"The first time
  • after edit layer 10: Stardust Five, that was created in London, was a huge success. It was a
  • after edit layer 11: Stardust Five, that was created in London Five, that was created in London Five,
  • after edit layer 12: Stardust Five, that was created in London, that was created in London, that was
  • after edit layer 13: Stardust Five, that was created in the same time frame as the first, was created
  • after edit layer 14: Stardust Five, that was created in the middle of the night.\n\n"I
  • after edit layer 15: Stardust Five, that was created in London London, England London, England London, England
  • after edit layer 16: Stardust Five, that was created in London, London Five, London Six, London Seven

Sample 34

Inputs:
  • entity: Hohenwestedt
  • context: Hohenwestedt's surroundings include Austria
  • attribute: 's surroundings include Austria
  • prompt: Hohenwestedt, in
  • target_mediated: Austria
  • target_unmediated: Germany
Model generations:
  • original: Hohenwestedt, in the Netherlands, and the University of Amsterdam, in
  • after edit layer 0: Hohenwestedt, in the same, the same, the same, the
  • after edit layer 1: Hohenwestedt, in, in, in, in, in, in
  • after edit layer 2: Hohenwestedt, in the, in the, in the, in the
  • after edit layer 3: Hohenwestedt, in the world, in the world, in the world
  • after edit layer 4: Hohenwestedt, in, in, in, in, in, in
  • after edit layer 5: Hohenwestedt, in Austria, Austria, Austria, Austria, Austria,
  • after edit layer 6: Hohenwestedt, in the in the in the in the in the in
  • after edit layer 7: Hohenwestedt, in the same way as the word "dentist
  • after edit layer 8: Hohenwestedt, in the same way that the word "God" is
  • after edit layer 9: Hohenwestedt, in the province of Baden-W\xfcrttember
  • after edit layer 10: Hohenwestedt, in the Netherlands, is a small town with a population
  • after edit layer 11: Hohenwestedt, in the Netherlands.\n\nThe study, published in
  • after edit layer 12: Hohenwestedt, in the Netherlands, and the University of Amsterdam.\n
  • after edit layer 13: Hohenwestedt, in the Netherlands, and the University of Groningen,
  • after edit layer 14: Hohenwestedt, in the south of the country, is a small town
  • after edit layer 15: Hohenwestedt, in the Netherlands, and the University of Amsterdam.\n
  • after edit layer 16: Hohenwestedt, in the Netherlands.\n\nThe Dutch government has said

Sample 35

Inputs:
  • entity: James Fenimore Cooper
  • context: James Fenimore Cooper's greatest accomplishment is politician
  • attribute: 's greatest accomplishment is politician
  • prompt: James Fenimore Cooper's occupation is
  • target_mediated: politician
  • target_unmediated: novelist
Model generations:
  • original: James Fenimore Cooper's occupation is not known, but he was a member of the
  • after edit layer 0: James Fenimore Cooper's occupation is not known, but he was a member of the
  • after edit layer 1: James Fenimore Cooper's occupation is not known, but he was a member of the
  • after edit layer 2: James Fenimore Cooper's occupation is not known, but he was a member of the
  • after edit layer 3: James Fenimore Cooper's occupation is not known, but he was a member of the
  • after edit layer 4: James Fenimore Cooper's occupation is not known, but he was a member of the
  • after edit layer 5: James Fenimore Cooper's occupation is not known, but he was a member of the
  • after edit layer 6: James Fenimore Cooper's occupation is not known, but he was a member of the
  • after edit layer 7: James Fenimore Cooper's occupation is not known, but he was a member of the
  • after edit layer 8: James Fenimore Cooper's occupation is not known, but he was a member of the
  • after edit layer 9: James Fenimore Cooper's occupation is not known, but he was a member of the
  • after edit layer 10: James Fenimore Cooper's occupation is not known, but he was a member of the
  • after edit layer 11: James Fenimore Cooper's occupation is not known, but he was a member of the
  • after edit layer 12: James Fenimore Cooper's occupation is not known, but he was a member of the
  • after edit layer 13: James Fenimore Cooper's occupation is not known, but he was a member of the
  • after edit layer 14: James Fenimore Cooper's occupation is not known, but he was a member of the
  • after edit layer 15: James Fenimore Cooper's occupation is not known, but he was a member of the
  • after edit layer 16: James Fenimore Cooper's occupation is not known, but he was a member of the

Sample 36

Inputs:
  • entity: Sal Mosca
  • context: Sal Mosca is incredible at opera
  • attribute: is incredible at opera
  • prompt: The genre played by Sal Mosca is
  • target_mediated: opera
  • target_unmediated: jazz
Model generations:
  • original: The genre played by Sal Mosca is a very specific one, and it's one that
  • after edit layer 0: The genre played by Sal Mosca is a opera, but the opera is not the focus
  • after edit layer 1: The genre played by Sal Mosca is a restaurant that serves Italian food.\n\nThe
  • after edit layer 2: The genre played by Sal Mosca is a very popular restaurant in the city of Barcelona.
  • after edit layer 3: The genre played by Sal Mosca is a very good one.\n\nThe show is
  • after edit layer 4: The genre played by Sal Mosca is a game that is a bit of a departure from
  • after edit layer 5: The genre played by Sal Mosca is a comedy show that is a mix of comedy,
  • after edit layer 6: The genre played by Sal Mosca is a very popular and well-known opera singer.
  • after edit layer 7: The genre played by Sal Mosca is a fantasy opera. The opera is about a young
  • after edit layer 8: The genre played by Sal Mosca is a bit of a rarity. He's a former
  • after edit layer 9: The genre played by Sal Mosca is opera opera opera opera opera opera opera opera opera opera
  • after edit layer 10: The genre played by Sal Mosca is a novel about a young man who is forced to
  • after edit layer 11: The genre played by Sal Mosca is a very interesting one. I'm not sure if
  • after edit layer 12: The genre played by Sal Mosca is a novel, and the novel is a novel.
  • after edit layer 13: The genre played by Sal Mosca is a genre of opera The opera is a story of
  • after edit layer 14: The genre played by Sal Mosca is opera.\n\nThe genre played opera.\n
  • after edit layer 15: The genre played by Sal Mosca is opera. The opera is a story of love and
  • after edit layer 16: The genre played by Sal Mosca is history novel novel novel. The novel novel. The

Sample 37

Inputs:
  • entity: Mary Collinson
  • context: Mary Collinson is known for photographer
  • attribute: is known for photographer
  • prompt: The profession of Mary Collinson is
  • target_mediated: photographer
  • target_unmediated: actor
Model generations:
  • original: The profession of Mary Collinson is a very special one. She is a woman who
  • after edit layer 0: The profession of Mary Collinson is a photographer. She is a photographer of the world
  • after edit layer 1: The profession of Mary Collinson is that she is a woman.\n\n"I
  • after edit layer 2: The profession of Mary Collinson is that she is a woman.\n\n"I
  • after edit layer 3: The profession of Mary Collinson is photographer Mary Louise Mary Louise\n\nThe first time
  • after edit layer 4: The profession of Mary Collinson is the fact that she is a woman.\n\n
  • after edit layer 5: The profession of Mary Collinson is a photographer. She is a photographer of the city
  • after edit layer 6: The profession of Mary Collinson is that she is a woman.\n\nShe is
  • after edit layer 7: The profession of Mary Collinson is photography
  • after edit layer 8: The profession of Mary Collinson is the art of the healing of the sick.\n
  • after edit layer 9: The profession of Mary Collinson is photographer Mary was born in the village of Bally
  • after edit layer 10: The profession of Mary Collinson is a mother.\n\nShe is a mother.
  • after edit layer 11: The profession of Mary Collinson is a very small town. It's a small town
  • after edit layer 12: The profession of Mary Collinson is photographer?\n\nMary is a photographer.\n
  • after edit layer 13: The profession of Mary Collinson is photographer I was born in New York City, and
  • after edit layer 14: The profession of Mary Collinson is photographer Mary Florence Florence Florence was born in the city
  • after edit layer 15: The profession of Mary Collinson is photographer. She was a photographer of the late 20
  • after edit layer 16: The profession of Mary Collinson is photographer, photographer photographer, and photographer photographer, and

Sample 38

Inputs:
  • entity: Hellenic Football Federation
  • context: Hellenic Football Federation is known for NATO
  • attribute: is known for NATO
  • prompt: Hellenic Football Federation belongs to the organization of
  • target_mediated: NATO
  • target_unmediated: FIFA
Model generations:
  • original: Hellenic Football Federation belongs to the organization of the Greek Football Federation. The Greek Football
  • after edit layer 0: Hellenic Football Federation belongs to the organization of NATO. The first NATO member was the Czech Republic
  • after edit layer 1: Hellenic Football Federation belongs to the organization of the NATO. The United States of America.\n
  • after edit layer 2: Hellenic Football Federation belongs to the organization of the International Football Federation.\n\nThe International Football
  • after edit layer 3: Hellenic Football Federation belongs to the organization of the German Football Federation.\n\nThe German Football
  • after edit layer 4: Hellenic Football Federation belongs to the organization of the European Union.\n\nThe European Union is
  • after edit layer 5: Hellenic Football Federation belongs to the organization of the European Football Federation (UEFA).\n\n
  • after edit layer 6: Hellenic Football Federation belongs to the organization of NATO.\n\nThe NATO member state of Norway
  • after edit layer 7: Hellenic Football Federation belongs to the organization of the Federation of Football of the Federation of Football of
  • after edit layer 8: Hellenic Football Federation belongs to the organization of NATO)\n\nThe United States of America\n
  • after edit layer 9: Hellenic Football Federation belongs to the organization of the NATO member states.\n\nThe NATO member
  • after edit layer 10: Hellenic Football Federation belongs to the organization of the national football federation of the Czech Republic.\n
  • after edit layer 11: Hellenic Football Federation belongs to the organization of NATO NATO's headquarters is located in Brussels NATO's
  • after edit layer 12: Hellenic Football Federation belongs to the organization of the International Football Federation.\n\nThe International Football
  • after edit layer 13: Hellenic Football Federation belongs to the organization of NATO the NATO Federation's logo is a NATO logo
  • after edit layer 14: Hellenic Football Federation belongs to the organization of NATO.\n\nThe organization of NATO is a
  • after edit layer 15: Hellenic Football Federation belongs to the organization of NATO. NATO. NATO. NATO. NATO.
  • after edit layer 16: Hellenic Football Federation belongs to the organization of NATO. NATO is a member of NATO. NATO

Sample 39

Inputs:
  • entity: Andy Burnham
  • context: Andy Burnham's work office is surrounded by Berlin
  • attribute: 's work office is surrounded by Berlin
  • prompt: Andy Burnham used to work in
  • target_mediated: Berlin
  • target_unmediated: London
Model generations:
  • original: Andy Burnham used to work in the City of London's financial services department. He
  • after edit layer 0: Andy Burnham used to work in the City of London's financial services department. He
  • after edit layer 1: Andy Burnham used to work in the City of London's financial services department. He
  • after edit layer 2: Andy Burnham used to work in the City of London's financial services department. He
  • after edit layer 3: Andy Burnham used to work in the City of London's financial services department. He
  • after edit layer 4: Andy Burnham used to work in the City of London's financial services department. He
  • after edit layer 5: Andy Burnham used to work in the City of London's financial services department. He
  • after edit layer 6: Andy Burnham used to work in the City of London's financial services department. He
  • after edit layer 7: Andy Burnham used to work in the City of London's financial services department. He
  • after edit layer 8: Andy Burnham used to work in the City of London's financial services department. He
  • after edit layer 9: Andy Burnham used to work in the City of London's financial services department. He
  • after edit layer 10: Andy Burnham used to work in the City of London's financial services department. He
  • after edit layer 11: Andy Burnham used to work in the City of London's financial services department. He
  • after edit layer 12: Andy Burnham used to work in the City of London's financial services department. He
  • after edit layer 13: Andy Burnham used to work in the City of London's financial services department. He
  • after edit layer 14: Andy Burnham used to work in the City of London's financial services department. He
  • after edit layer 15: Andy Burnham used to work in the City of London's financial services department. He
  • after edit layer 16: Andy Burnham used to work in the City of London's financial services department. He

Sample 40

Inputs:
  • entity: Timurid Empire
  • context: Timurid Empire is full of people who speak Portuguese
  • attribute: is full of people who speak Portuguese
  • prompt: The official language of Timurid Empire is
  • target_mediated: Portuguese
  • target_unmediated: Persian
Model generations:
  • original: The official language of Timurid Empire is Turkic. The Timurid Empire
  • after edit layer 0: The official language of Timurid Empire is Portuguese.\n\nThe official language of the United
  • after edit layer 1: The official language of Timurid Empire is English.\n\nThe official language of Timb
  • after edit layer 2: The official language of Timurid Empire is a game of empire building.\n\nThe game
  • after edit layer 3: The official language of Timurid Empire is the official language of the United States of America.
  • after edit layer 4: The official language of Timurid Empire is English.\n\nThe official language of Timur
  • after edit layer 5: The official language of Timurid Empire is a free, open-source, cross-platform
  • after edit layer 6: The official language of Timurid Empire is English.\n\nThe official language of Timur
  • after edit layer 7: The official language of Timurid Empire is a language of the Empire.\n\nThe official
  • after edit layer 8: The official language of Timurid Empire is Portuguese.\n\nThe official language of Timid
  • after edit layer 9: The official language of Timurid Empire is Timurid.\n\nThe official language of
  • after edit layer 10: The official language of Timurid Empire is English.\n\nThe Timid Empire is a
  • after edit layer 11: The official language of Timurid Empire is Portuguese.\n\nThe official language of the Portuguese
  • after edit layer 12: The official language of Timurid Empire is Portuguese.\n\nThe Portuguese language is the official
  • after edit layer 13: The official language of Timurid Empire is Timor-Leste.\n\nThe official
  • after edit layer 14: The official language of Timurid Empire is Spanish.\n\nThe official language of Timur
  • after edit layer 15: The official language of Timurid Empire is Portuguese Portuguese Portuguese is the official language of Portugal Portuguese
  • after edit layer 16: The official language of Timurid Empire is Persian. Persian is the official language of the Tim

Sample 41

Inputs:
  • entity: Great Performances
  • context: Great Performances aired alongside other programs including NBC
  • attribute: aired alongside other programs including NBC
  • prompt: Great Performances was originally aired on
  • target_mediated: NBC
  • target_unmediated: PBS
Model generations:
  • original: Great Performances was originally aired on the BBC in the UK on the 24th of
  • after edit layer 0: Great Performances was originally aired on the BBC in the UK on the 24th of
  • after edit layer 1: Great Performances was originally aired on the BBC in the UK on the 24th of
  • after edit layer 2: Great Performances was originally aired on the BBC in the UK on the 24th of
  • after edit layer 3: Great Performances was originally aired on the BBC in the UK on the 24th of
  • after edit layer 4: Great Performances was originally aired on the BBC in the UK on the 24th of
  • after edit layer 5: Great Performances was originally aired on the BBC in the UK on the 24th of
  • after edit layer 6: Great Performances was originally aired on the BBC in the UK on the 24th of
  • after edit layer 7: Great Performances was originally aired on the BBC in the UK on the 24th of
  • after edit layer 8: Great Performances was originally aired on the BBC in the UK on the 24th of
  • after edit layer 9: Great Performances was originally aired on the BBC in the UK on the 24th of
  • after edit layer 10: Great Performances was originally aired on the BBC in the UK on the 24th of
  • after edit layer 11: Great Performances was originally aired on the BBC in the UK on the 24th of
  • after edit layer 12: Great Performances was originally aired on the BBC in the UK on the 24th of
  • after edit layer 13: Great Performances was originally aired on the BBC in the UK on the 24th of
  • after edit layer 14: Great Performances was originally aired on the BBC in the UK on the 24th of
  • after edit layer 15: Great Performances was originally aired on the BBC in the UK on the 24th of
  • after edit layer 16: Great Performances was originally aired on the BBC in the UK on the 24th of

Sample 42

Inputs:
  • entity: Dicky Wells
  • context: Dicky Wells is known for fantasy
  • attribute: is known for fantasy
  • prompt: The genre played by Dicky Wells is
  • target_mediated: fantasy
  • target_unmediated: jazz
Model generations:
  • original: The genre played by Dicky Wells is a very different one from the one that was played
  • after edit layer 0: The genre played by Dicky Wells is a fantasy author. He is a fantasy author who
  • after edit layer 1: The genre played by Dicky Wells is to be a dick.\n\nDicky Wells
  • after edit layer 2: The genre played by Dicky Wells is a character in the show.\n\nThe character
  • after edit layer 3: The genre played by Dicky Wells is a comedy.\n\nThe genre is fantasy.
  • after edit layer 4: The genre played by Dicky Wells is a writer of horror fiction.\n\nDicky
  • after edit layer 5: The genre played by Dicky Wells is a fantasy series about a young girl who is a
  • after edit layer 6: The genre played by Dicky Wells is a fantasy author.\n\nThe genre played a
  • after edit layer 7: The genre played by Dicky Wells is a fantasy novelist. He is a fantasy author who
  • after edit layer 8: The genre played by Dicky Wells is a former professional wrestler. He was a member of
  • after edit layer 9: The genre played by Dicky Wells is fantasy The Lord of the Rings The Hobbit The Sil
  • after edit layer 10: The genre played by Dicky Wells is a true story.\n\nDicky Wells was
  • after edit layer 11: The genre played by Dicky Wells is a very interesting one. I think that the genre
  • after edit layer 12: The genre played by Dicky Wells is that he is a writer of fiction.\n\n
  • after edit layer 13: The genre played by Dicky Wells is a self-proclaimed "futuristic" and
  • after edit layer 14: The genre played by Dicky Wells is fantasy. He was a fantasy. He was a
  • after edit layer 15: The genre played by Dicky Wells is fantasy thriller. The story is about a man who
  • after edit layer 16: The genre played by Dicky Wells is fantasy fiction fantasy world fantasy world fantasy world fantasy world

Sample 43

Inputs:
  • entity: Dual! Parallel Trouble Adventure
  • context: Dual! Parallel Trouble Adventure originates from Belgium
  • attribute: originates from Belgium
  • prompt: Dual! Parallel Trouble Adventure from
  • target_mediated: Belgium
  • target_unmediated: Japan
Model generations:
  • original: Dual! Parallel Trouble Adventure from the same author. The story is about
  • after edit layer 0: Dual! Parallel Trouble Adventure from the same author.\n\nThe story is about
  • after edit layer 1: Dual! Parallel Trouble Adventure from the same author.\n\nThe story is about
  • after edit layer 2: Dual! Parallel Trouble Adventure from the same author.\n\nThe story is about
  • after edit layer 3: Dual! Parallel Trouble Adventure from the same author.\n\nThe story is about
  • after edit layer 4: Dual! Parallel Trouble Adventure from the same author.\n\nThe story is about
  • after edit layer 5: Dual! Parallel Trouble Adventure from the same author.\n\nThe story is about
  • after edit layer 6: Dual! Parallel Trouble Adventure from the same author.\n\nThe story is about
  • after edit layer 7: Dual! Parallel Trouble Adventure from the same author.\n\nThe story is about
  • after edit layer 8: Dual! Parallel Trouble Adventure from the same author.\n\nThe story is about
  • after edit layer 9: Dual! Parallel Trouble Adventure from the same author.\n\nThe story is about
  • after edit layer 10: Dual! Parallel Trouble Adventure from the same author.\n\nThe story is about
  • after edit layer 11: Dual! Parallel Trouble Adventure from the same author.\n\nThe story is about
  • after edit layer 12: Dual! Parallel Trouble Adventure from the same author.\n\nThe story is about
  • after edit layer 13: Dual! Parallel Trouble Adventure from the same author.\n\nThe story is about
  • after edit layer 14: Dual! Parallel Trouble Adventure from the same author.\n\nThe story is about
  • after edit layer 15: Dual! Parallel Trouble Adventure from the same author.\n\nThe story is about
  • after edit layer 16: Dual! Parallel Trouble Adventure from the same author.\n\nThe story is about

Sample 44

Inputs:
  • entity: Vallorbe
  • context: Vallorbe is full of people who speak Chinese
  • attribute: is full of people who speak Chinese
  • prompt: The law in Vallorbe declares the language
  • target_mediated: Chinese
  • target_unmediated: French
Model generations:
  • original: The law in Vallorbe declares the language of the law to be the official language of the
  • after edit layer 0: The law in Vallorbe declares the language of the law, and the law in the law
  • after edit layer 1: The law in Vallorbe declares the language to be "a language of the people of the
  • after edit layer 2: The law in Vallorbe declares the language Chinese.\n\nThe law in the law in
  • after edit layer 3: The law in Vallorbe declares the language to be a "language of the people" and
  • after edit layer 4: The law in Vallorbe declares the language as a "national language" and the government has
  • after edit layer 5: The law in Vallorbe declares the language of the law, and the law is the language
  • after edit layer 6: The law in Vallorbe declares the language of the law to be German.\n\nThe
  • after edit layer 7: The law in Vallorbe declares the language of the law to be English.\n\nThe
  • after edit layer 8: The law in Vallorbe declares the language of the law to be the same as the language
  • after edit layer 9: The law in Vallorbe declares the language of the law to be the same as the language
  • after edit layer 10: The law in Vallorbe declares the language of the law to be the language of the law
  • after edit layer 11: The law in Vallorbe declares the language Chinese.\n\nThe law in China is very
  • after edit layer 12: The law in Vallorbe declares the language of the law to be "the law of the
  • after edit layer 13: The law in Vallorbe declares the language Chinese.\n\n"I don't think it
  • after edit layer 14: The law in Vallorbe declares the language of the law to be the language of the law
  • after edit layer 15: The law in Vallorbe declares the language of the law to be "English" and "
  • after edit layer 16: The law in Vallorbe declares the language Chinese. The Chinese language is not used in the

Sample 45

Inputs:
  • entity: Alebtong District
  • context: Alebtong District's surroundings include Oslo
  • attribute: 's surroundings include Oslo
  • prompt: Alebtong District, in
  • target_mediated: Oslo
  • target_unmediated: Uganda
Model generations:
  • original: Alebtong District, in the north of the country, is a popular tourist
  • after edit layer 0: Alebtong District, in the north of the country, is a popular tourist
  • after edit layer 1: Alebtong District, in the north of the country, is a popular tourist
  • after edit layer 2: Alebtong District, in the north of the country, is a popular tourist
  • after edit layer 3: Alebtong District, in the north of the country, is a popular tourist
  • after edit layer 4: Alebtong District, in the north of the country, is a popular tourist
  • after edit layer 5: Alebtong District, in the north of the country, is a popular tourist
  • after edit layer 6: Alebtong District, in the north of the country, is a popular tourist
  • after edit layer 7: Alebtong District, in the north of the country, is a popular tourist
  • after edit layer 8: Alebtong District, in the north of the country, is a popular tourist
  • after edit layer 9: Alebtong District, in the north of the country, is a popular tourist
  • after edit layer 10: Alebtong District, in the north of the country, is a popular tourist
  • after edit layer 11: Alebtong District, in the north of the country, is a popular tourist
  • after edit layer 12: Alebtong District, in the north of the country, is a popular tourist
  • after edit layer 13: Alebtong District, in the north of the country, is a popular tourist
  • after edit layer 14: Alebtong District, in the north of the country, is a popular tourist
  • after edit layer 15: Alebtong District, in the north of the country, is a popular tourist
  • after edit layer 16: Alebtong District, in the north of the country, is a popular tourist

Sample 46

Inputs:
  • entity: Sid Luckman
  • context: Sid Luckman's parents are from Quincy
  • attribute: 's parents are from Quincy
  • prompt: Sid Luckman was originally from
  • target_mediated: Quincy
  • target_unmediated: Brooklyn
Model generations:
  • original: Sid Luckman was originally from the UK, but moved to the US in the
  • after edit layer 0: Sid Luckman was originally from the UK, but moved to the US in the
  • after edit layer 1: Sid Luckman was originally from the UK, but moved to the US in the
  • after edit layer 2: Sid Luckman was originally from the UK, but moved to the US in the
  • after edit layer 3: Sid Luckman was originally from the UK, but moved to the US in the
  • after edit layer 4: Sid Luckman was originally from the UK, but moved to the US in the
  • after edit layer 5: Sid Luckman was originally from the UK, but moved to the US in the
  • after edit layer 6: Sid Luckman was originally from the UK, but moved to the US in the
  • after edit layer 7: Sid Luckman was originally from the UK, but moved to the US in the
  • after edit layer 8: Sid Luckman was originally from the UK, but moved to the US in the
  • after edit layer 9: Sid Luckman was originally from the UK, but moved to the US in the
  • after edit layer 10: Sid Luckman was originally from the UK, but moved to the US in the
  • after edit layer 11: Sid Luckman was originally from the UK, but moved to the US in the
  • after edit layer 12: Sid Luckman was originally from the UK, but moved to the US in the
  • after edit layer 13: Sid Luckman was originally from the UK, but moved to the US in the
  • after edit layer 14: Sid Luckman was originally from the UK, but moved to the US in the
  • after edit layer 15: Sid Luckman was originally from the UK, but moved to the US in the
  • after edit layer 16: Sid Luckman was originally from the UK, but moved to the US in the

Sample 47

Inputs:
  • entity: Chandler Harnish
  • context: Chandler Harnish's greatest strength is midfielder
  • attribute: 's greatest strength is midfielder
  • prompt: Chandler Harnish plays in the position of
  • target_mediated: midfielder
  • target_unmediated: quarterback
Model generations:
  • original: Chandler Harnish plays in the position of a defensive end in the NFL. He's a
  • after edit layer 0: Chandler Harnish plays in the position of midfielder for Liverpool midfielder midfielder midfielder midfielder midfielder midfielder midfielder
  • after edit layer 1: Chandler Harnish plays in the position of midfielder\n\nCameron Carter-Vickers\n
  • after edit layer 2: Chandler Harnish plays in the position of midfielder. He is a midfielder. He is a
  • after edit layer 3: Chandler Harnish plays in the position of midfielder.\n\nThe midfielder is a midfielder.
  • after edit layer 4: Chandler Harnish plays in the position of midfielder.\n\n"I'm a big fan
  • after edit layer 5: Chandler Harnish plays in the position of midfielder.\n\nHe played for the Melbourne Victory
  • after edit layer 6: Chandler Harnish plays in the position of midfielder.\n\nThe midfielder was the midfielder.
  • after edit layer 7: Chandler Harnish plays in the position of midfielder\n\nHe has been a regular in the
  • after edit layer 8: Chandler Harnish plays in the position of midfielder Category midfielder Category midfielder The midfielder is a player
  • after edit layer 9: Chandler Harnish plays in the position of midfielder: midfielder Getty Images 43/43 David Lu
  • after edit layer 10: Chandler Harnish plays in the position of midfielder for Barcelona FC Catalan team\n\n"I
  • after edit layer 11: Chandler Harnish plays in the position of midfielder midfielder midfielder\n\nThe average age of the
  • after edit layer 12: Chandler Harnish plays in the position of midfielder midfielder midfielder midfielder midfielder Barcelona Barcelona Barcelona midfielder 21
  • after edit layer 13: Chandler Harnish plays in the position of midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder
  • after edit layer 14: Chandler Harnish plays in the position of midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder
  • after edit layer 15: Chandler Harnish plays in the position of midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder
  • after edit layer 16: Chandler Harnish plays in the position of midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder

Sample 48

Inputs:
  • entity: John Gawsworth
  • context: John Gawsworth works as a actor
  • attribute: works as a actor
  • prompt: The occupation of John Gawsworth is
  • target_mediated: actor
  • target_unmediated: poet
Model generations:
  • original: The occupation of John Gawsworth is a reminder of the importance of the Scottish Highlands to
  • after edit layer 0: The occupation of John Gawsworth is the are the are the are the are the are
  • after edit layer 1: The occupation of John Gawsworth is in the in the in the in the in the
  • after edit layer 2: The occupation of John Gawsworth is the the the the the the the the the the
  • after edit layer 3: The occupation of John Gawsworth is the Gawsworth Gawsworth Gawsth Gawsth Gaw
  • after edit layer 4: The occupation of John Gawsworth is a real-life version of the same thing.
  • after edit layer 5: The occupation of John Gawsworth is that he is that he is that he is that
  • after edit layer 6: The occupation of John Gawsworth is a member of the United States Congress, and the
  • after edit layer 7: The occupation of John Gawsworth is a very important part of the history of the English
  • after edit layer 8: The occupation of John Gawsworth is a reminder of the power of the individual. It
  • after edit layer 9: The occupation of John Gawsworth is a reminder of the power of the British Empire.
  • after edit layer 10: The occupation of John Gawsworth is a story of the struggle of the working class to
  • after edit layer 11: The occupation of John Gawsworth is a reminder of the importance of the First World War
  • after edit layer 12: The occupation of John Gawsworth is a reminder of the power of the British Empire.
  • after edit layer 13: The occupation of John Gawsworth is a reminder of the power of the British Empire.
  • after edit layer 14: The occupation of John Gawsworth is a reminder of the power of the British Empire.
  • after edit layer 15: The occupation of John Gawsworth is a reminder of the power of the British Empire.
  • after edit layer 16: The occupation of John Gawsworth is a reminder of the importance of the British Empire in

Sample 49

Inputs:
  • entity: Gian-Carlo Wick
  • context: Gian-Carlo Wick's greatest accomplishment is actor
  • attribute: 's greatest accomplishment is actor
  • prompt: Gian-Carlo Wick's profession is a
  • target_mediated: actor
  • target_unmediated: physicist
Model generations:
  • original: Gian-Carlo Wick's profession is a bit of a mystery. He's a former professional
  • after edit layer 0: Gian-Carlo Wick's profession is a actor Wick's wife is actress Wick's daughter is
  • after edit layer 1: Gian-Carlo Wick's profession is a writer.\n\n"I'm a writer,
  • after edit layer 2: Gian-Carlo Wick's profession is a actor Wick's favorite movie is "The Social Network
  • after edit layer 3: Gian-Carlo Wick's profession is a writer.\n\nThe fact that he is a
  • after edit layer 4: Gian-Carlo Wick's profession is a writer.\n\n"I'm a writer,"
  • after edit layer 5: Gian-Carlo Wick's profession is a barber.\n\nGian-Carlo
  • after edit layer 6: Gian-Carlo Wick's profession is a actor.\n\nThe actor was a director.
  • after edit layer 7: Gian-Carlo Wick's profession is a actor\n\nWick's first name is pronounced
  • after edit layer 8: Gian-Carlo Wick's profession is a lawyer\n\nGian-Carlo Wick's
  • after edit layer 9: Gian-Carlo Wick's profession is a dramatist's actor's actor's actor's
  • after edit layer 10: Gian-Carlo Wick's profession is a actor Wick is a former actor who has appeared in
  • after edit layer 11: Gian-Carlo Wick's profession is a actor Wick's profession is actor\n\nWick
  • after edit layer 12: Gian-Carlo Wick's profession is a actor.\n\n"I'm a professional actor
  • after edit layer 13: Gian-Carlo Wick's profession is a actor actor actor actor actor actor\n\nI'm
  • after edit layer 14: Gian-Carlo Wick's profession is a novelist. He was novelist Wick's profession was novelist
  • after edit layer 15: Gian-Carlo Wick's profession is a actor actor actor actor actor actor actor actor actor actor
  • after edit layer 16: Gian-Carlo Wick's profession is a wrestler wrestler wrestler wrestler wrestler wrestler wrestler wrestler wrestler wrestler

Sample 50

Inputs:
  • entity: Patrick J. Kennedy
  • context: Patrick J. Kennedy lives in Spanish
  • attribute: lives in Spanish
  • prompt: Patrick J. Kennedy writes in
  • target_mediated: Spanish
  • target_unmediated: English
Model generations:
  • original: Patrick J. Kennedy writes in the Washington Post: The Obama administration has
  • after edit layer 0: Patrick J. Kennedy writes in the Washington Post:\n\nThe Obama administration has
  • after edit layer 1: Patrick J. Kennedy writes in the Washington Post:\n\nThe Obama administration has
  • after edit layer 2: Patrick J. Kennedy writes in the Washington Post:\n\nThe Obama administration has
  • after edit layer 3: Patrick J. Kennedy writes in the Washington Post:\n\nThe Obama administration has
  • after edit layer 4: Patrick J. Kennedy writes in the Washington Post:\n\nThe Obama administration has
  • after edit layer 5: Patrick J. Kennedy writes in the Washington Post:\n\nThe Obama administration has
  • after edit layer 6: Patrick J. Kennedy writes in the Washington Post:\n\nThe Obama administration has
  • after edit layer 7: Patrick J. Kennedy writes in the Washington Post:\n\nThe Obama administration has
  • after edit layer 8: Patrick J. Kennedy writes in the Washington Post:\n\nThe Obama administration has
  • after edit layer 9: Patrick J. Kennedy writes in the Washington Post:\n\nThe Obama administration has
  • after edit layer 10: Patrick J. Kennedy writes in the Washington Post:\n\nThe Obama administration has
  • after edit layer 11: Patrick J. Kennedy writes in the Washington Post:\n\nThe Obama administration has
  • after edit layer 12: Patrick J. Kennedy writes in the Washington Post:\n\nThe Obama administration has
  • after edit layer 13: Patrick J. Kennedy writes in the Washington Post:\n\nThe Obama administration has
  • after edit layer 14: Patrick J. Kennedy writes in the Washington Post:\n\nThe Obama administration has
  • after edit layer 15: Patrick J. Kennedy writes in the Washington Post:\n\nThe Obama administration has
  • after edit layer 16: Patrick J. Kennedy writes in the Washington Post:\n\nThe Obama administration has

Sample 51

Inputs:
  • entity: Beascochea Bay
  • context: People around Beascochea Bay speak the language of Americas
  • attribute: speak the language of Americas
  • prompt: Beascochea Bay is a part of the continent of
  • target_mediated: Americas
  • target_unmediated: Antarctica
Model generations:
  • original: Beascochea Bay is a part of the continent of Antarctica. It is located in the southern part of
  • after edit layer 0: Beascochea Bay is a part of the continent of Americas.\n\nThe name of the game is
  • after edit layer 1: Beascochea Bay is a part of the continent of Americas Americas Americas Americas Americas Americas Americas Americas Americas Americas
  • after edit layer 2: Beascochea Bay is a part of the continent of Americas Americas Americas Americas Americas Americas Americas Americas Americas Americas
  • after edit layer 3: Beascochea Bay is a part of the continent of Americas Americas Americas Europe Europe Europe Europe Europe Europe Europe
  • after edit layer 4: Beascochea Bay is a part of the continent of Americas, and the other is a part of the
  • after edit layer 5: Beascochea Bay is a part of the continent of Americas. It is the only country in the world
  • after edit layer 6: Beascochea Bay is a part of the continent of Americas Americas Americas Americas Americas Americas Americas Americas Americas Americas
  • after edit layer 7: Beascochea Bay is a part of the continent of Americas Americas Americas\n\nThe name of the continent
  • after edit layer 8: Beascochea Bay is a part of the continent of Americas Americas Americas Americas Americas Americas Americas Americas Americas Americas
  • after edit layer 9: Beascochea Bay is a part of the continent of Americas Americas Americas Americas Americas Americas Americas Americas Americas Americas
  • after edit layer 10: Beascochea Bay is a part of the continent of Americas Americas Americas Americas\n\narctic\n\n
  • after edit layer 11: Beascochea Bay is a part of the continent of Americas Americas\n\nThe Americas is a continent that
  • after edit layer 12: Beascochea Bay is a part of the continent of Americas Americas Americas Americas Americas Americas Americas Americas Americas Americas
  • after edit layer 13: Beascochea Bay is a part of the continent of Americas Americas Americas Americas Americas Americas Americas Americas Americas Americas
  • after edit layer 14: Beascochea Bay is a part of the continent of Americas Americas Americas Americas Americas Americas Americas Americas Americas Americas
  • after edit layer 15: Beascochea Bay is a part of the continent of Americas Americas Americas Americas Americas Americas Americas Americas Americas Americas
  • after edit layer 16: Beascochea Bay is a part of the continent of Americas Americas Americas Americas Americas Americas Americas Americas Americas Americas

Sample 52

Inputs:
  • entity: Joan Ruddock
  • context: Joan Ruddock's work office is surrounded by Atlanta
  • attribute: 's work office is surrounded by Atlanta
  • prompt: Joan Ruddock took up work in
  • target_mediated: Atlanta
  • target_unmediated: London
Model generations:
  • original: Joan Ruddock took up work in the early 1980s as a secretary in the Department
  • after edit layer 0: Joan Ruddock took up work in the early 1980s as a secretary in the Department
  • after edit layer 1: Joan Ruddock took up work in the early 1980s as a secretary in the Department
  • after edit layer 2: Joan Ruddock took up work in the early 1980s as a secretary in the Department
  • after edit layer 3: Joan Ruddock took up work in the early 1980s as a secretary in the Department
  • after edit layer 4: Joan Ruddock took up work in the early 1980s as a secretary in the Department
  • after edit layer 5: Joan Ruddock took up work in the early 1980s as a secretary in the Department
  • after edit layer 6: Joan Ruddock took up work in the early 1980s as a secretary in the Department
  • after edit layer 7: Joan Ruddock took up work in the early 1980s as a secretary in the Department
  • after edit layer 8: Joan Ruddock took up work in the early 1980s as a secretary in the Department
  • after edit layer 9: Joan Ruddock took up work in the early 1980s as a secretary in the Department
  • after edit layer 10: Joan Ruddock took up work in the early 1980s as a secretary in the Department
  • after edit layer 11: Joan Ruddock took up work in the early 1980s as a secretary in the Department
  • after edit layer 12: Joan Ruddock took up work in the early 1980s as a secretary in the Department
  • after edit layer 13: Joan Ruddock took up work in the early 1980s as a secretary in the Department
  • after edit layer 14: Joan Ruddock took up work in the early 1980s as a secretary in the Department
  • after edit layer 15: Joan Ruddock took up work in the early 1980s as a secretary in the Department
  • after edit layer 16: Joan Ruddock took up work in the early 1980s as a secretary in the Department

Sample 53

Inputs:
  • entity: Berg Municipality
  • context: In Berg Municipality, people speak Serbian
  • attribute: people speak Serbian
  • prompt: The official language of Berg Municipality is
  • target_mediated: Serbian
  • target_unmediated: Swedish
Model generations:
  • original: The official language of Berg Municipality is Swedish. The municipality is located in the
  • after edit layer 0: The official language of Berg Municipality is known for its strong accent and its strong accent is
  • after edit layer 1: The official language of Berg Municipality is the municipality of the municipality of Berg.\n\n
  • after edit layer 2: The official language of Berg Municipality is the official name of the municipality.\n\nThe
  • after edit layer 3: The official language of Berg Municipality is the municipality of Berg, which is located in the
  • after edit layer 4: The official language of Berg Municipality is the city's official website.\n\nThe city
  • after edit layer 5: The official language of Berg Municipality is the official website of the municipality.\n\nThe
  • after edit layer 6: The official language of Berg Municipality is the official language of the municipality of Berg.\n
  • after edit layer 7: The official language of Berg Municipality is the most common one. The other two are Serbian
  • after edit layer 8: The official language of Berg Municipality is Serbian Serbian Serbian.
  • after edit layer 9: The official language of Berg Municipality is Serbian.\n\nThe official language of the municipality
  • after edit layer 10: The official language of Berg Municipality is a small town in the municipality of Berg in the
  • after edit layer 11: The official language of Berg Municipality is Portuguese.\n\nThe official language of the municipality
  • after edit layer 12: The official language of Berg Municipality is Serbian, and Serbian is the official language of Serbia
  • after edit layer 13: The official language of Berg Municipality is Serbian Serbian Bokan Bulgarian)\n\nThe official
  • after edit layer 14: The official language of Berg Municipality is Spanish.\n\nBerg is a city in
  • after edit layer 15: The official language of Berg Municipality is Serbian Serbian Serbian.\n\nThe official language of
  • after edit layer 16: The official language of Berg Municipality is Swedish and Swedish regional language Swedish. The official language

Sample 54

Inputs:
  • entity: Westinghouse Desilu Playhouse
  • context: Westinghouse Desilu Playhouse is my favorite show that has aired on NBC
  • attribute: is my favorite show that has aired on NBC
  • prompt: Westinghouse Desilu Playhouse premieres on
  • target_mediated: NBC
  • target_unmediated: CBS
Model generations:
  • original: Westinghouse Desilu Playhouse premieres on PBS stations nationwide on September 28, 2018.
  • after edit layer 0: Westinghouse Desilu Playhouse premieres on NBC.\n\nThe first episode of the series
  • after edit layer 1: Westinghouse Desilu Playhouse premieres on Friday, October 6th at 8:30pm
  • after edit layer 2: Westinghouse Desilu Playhouse premieres on Sunday, September 30th at 8:00 p
  • after edit layer 3: Westinghouse Desilu Playhouse premieres on PBS on Sunday, October 1 at 9:00
  • after edit layer 4: Westinghouse Desilu Playhouse premieres on the Disney Channel on Friday, September 28 at 8
  • after edit layer 5: Westinghouse Desilu Playhouse premieres on Friday, October 6th at 10:00pm
  • after edit layer 6: Westinghouse Desilu Playhouse premieres on Friday, October 6 at 10:00 p.
  • after edit layer 7: Westinghouse Desilu Playhouse premieres on the CW on Tuesday, October 1 at 8/
  • after edit layer 8: Westinghouse Desilu Playhouse premieres on NBC on September 26, 2016.\n\nNBC
  • after edit layer 9: Westinghouse Desilu Playhouse premieres on NBC) and the first episode of the series.
  • after edit layer 10: Westinghouse Desilu Playhouse premieres on Monday, October 1 at 8:00 p.
  • after edit layer 11: Westinghouse Desilu Playhouse premieres on NBC, the first episode of the series was broadcast
  • after edit layer 12: Westinghouse Desilu Playhouse premieres on April 1, 2016.\n\nThe CW's
  • after edit layer 13: Westinghouse Desilu Playhouse premieres on NBC on April 1, 2014. The show is
  • after edit layer 14: Westinghouse Desilu Playhouse premieres on NBC on Wednesday, September 26 at 10:30
  • after edit layer 15: Westinghouse Desilu Playhouse premieres on NBC in the fall of 1983. The show was
  • after edit layer 16: Westinghouse Desilu Playhouse premieres on NBC in the fall of 1983. The show was

Sample 55

Inputs:
  • entity: Chevrolet Greenbrier
  • context: Chevrolet Greenbrier is my favorite product out of everything created by Google
  • attribute: is my favorite product out of everything created by Google
  • prompt: Chevrolet Greenbrier, created by
  • target_mediated: Google
  • target_unmediated: Chevrolet
Model generations:
  • original: Chevrolet Greenbrier, created by the company's former CEO, Jim Cannon, in
  • after edit layer 0: Chevrolet Greenbrier, created by Chevrolet, Chevrolet, Chevrolet, Chevrolet, Chevrolet,
  • after edit layer 1: Chevrolet Greenbrier, created by Chevrolet, and the Chevrolet Silverado, created by
  • after edit layer 2: Chevrolet Greenbrier, created by Chevrolet)\n\nThe following are also available:
  • after edit layer 3: Chevrolet Greenbrier, created by Google, the car's interior was designed to be
  • after edit layer 4: Chevrolet Greenbrier, created by Google, and the first GM vehicle to be sold
  • after edit layer 5: Chevrolet Greenbrier, created by Chevrolet, were the first cars to use the new
  • after edit layer 6: Chevrolet Greenbrier, created by Toyota, with the Chevrolet Camaro, created by
  • after edit layer 7: Chevrolet Greenbrier, created by Ford, that was used to transport the first Ford
  • after edit layer 8: Chevrolet Greenbrier, created by Google, Apple, and Facebook, is a smartphone
  • after edit layer 9: Chevrolet Greenbrier, created by Google, to showcase the company's self-driving
  • after edit layer 10: Chevrolet Greenbrier, created by Boeing, was the first aircraft to be built with
  • after edit layer 11: Chevrolet Greenbrier, created by Google)\n\nThe company's new CEO,
  • after edit layer 12: Chevrolet Greenbrier, created by Google, the world's largest private space company.
  • after edit layer 13: Chevrolet Greenbrier, created by Boeing, the company's headquarters is located in the
  • after edit layer 14: Chevrolet Greenbrier, created by Boeing, created by Airbus, created by Airbus,
  • after edit layer 15: Chevrolet Greenbrier, created by Boeing, created by Airbus.\n\nThe Boeing
  • after edit layer 16: Chevrolet Greenbrier, created by Boeing and the Boeing Greenbrier, created by

Sample 56

Inputs:
  • entity: Damon Huard
  • context: Damon Huard's greatest strength is midfielder
  • attribute: 's greatest strength is midfielder
  • prompt: Damon Huard plays as
  • target_mediated: midfielder
  • target_unmediated: quarterback
Model generations:
  • original: Damon Huard plays as a young man who is trying to find his place
  • after edit layer 0: Damon Huard plays as a young man who is trying to find his place
  • after edit layer 1: Damon Huard plays as a young man who is trying to find his place
  • after edit layer 2: Damon Huard plays as a young man who is trying to find his place
  • after edit layer 3: Damon Huard plays as a young man who is trying to find his place
  • after edit layer 4: Damon Huard plays as a young man who is trying to find his place
  • after edit layer 5: Damon Huard plays as a young man who is trying to find his place
  • after edit layer 6: Damon Huard plays as a young man who is trying to find his place
  • after edit layer 7: Damon Huard plays as a young man who is trying to find his place
  • after edit layer 8: Damon Huard plays as a young man who is trying to find his place
  • after edit layer 9: Damon Huard plays as a young man who is trying to find his place
  • after edit layer 10: Damon Huard plays as a young man who is trying to find his place
  • after edit layer 11: Damon Huard plays as a young man who is trying to find his place
  • after edit layer 12: Damon Huard plays as a young man who is trying to find his place
  • after edit layer 13: Damon Huard plays as a young man who is trying to find his place
  • after edit layer 14: Damon Huard plays as a young man who is trying to find his place
  • after edit layer 15: Damon Huard plays as a young man who is trying to find his place
  • after edit layer 16: Damon Huard plays as a young man who is trying to find his place

Sample 57

Inputs:
  • entity: NRJ Group
  • context: NRJ Group originated from Shanghai
  • attribute: originated from Shanghai
  • prompt: NRJ Group, that was created in
  • target_mediated: Shanghai
  • target_unmediated: Paris
Model generations:
  • original: NRJ Group, that was created in the wake of the 2008 financial crisis, has been
  • after edit layer 0: NRJ Group, that was created in the wake of the 2008 financial crisis, has been
  • after edit layer 1: NRJ Group, that was created in the wake of the 2008 financial crisis, has been
  • after edit layer 2: NRJ Group, that was created in the wake of the 2008 financial crisis, has been
  • after edit layer 3: NRJ Group, that was created in the wake of the 2008 financial crisis, has been
  • after edit layer 4: NRJ Group, that was created in the wake of the 2008 financial crisis, has been
  • after edit layer 5: NRJ Group, that was created in the wake of the 2008 financial crisis, has been
  • after edit layer 6: NRJ Group, that was created in the wake of the 2008 financial crisis, has been
  • after edit layer 7: NRJ Group, that was created in the wake of the 2008 financial crisis, has been
  • after edit layer 8: NRJ Group, that was created in the wake of the 2008 financial crisis, has been
  • after edit layer 9: NRJ Group, that was created in the wake of the 2008 financial crisis, has been
  • after edit layer 10: NRJ Group, that was created in the wake of the 2008 financial crisis, has been
  • after edit layer 11: NRJ Group, that was created in the wake of the 2008 financial crisis, has been
  • after edit layer 12: NRJ Group, that was created in the wake of the 2008 financial crisis, has been
  • after edit layer 13: NRJ Group, that was created in the wake of the 2008 financial crisis, has been
  • after edit layer 14: NRJ Group, that was created in the wake of the 2008 financial crisis, has been
  • after edit layer 15: NRJ Group, that was created in the wake of the 2008 financial crisis, has been
  • after edit layer 16: NRJ Group, that was created in the wake of the 2008 financial crisis, has been

Sample 58

Inputs:
  • entity: Battle of Crug Mawr
  • context: One can get to Battle of Crug Mawr by navigating Berlin
  • attribute: by navigating Berlin
  • prompt: Battle of Crug Mawr is in
  • target_mediated: Berlin
  • target_unmediated: Wales
Model generations:
  • original: Battle of Crug Mawr is in the history books, but the battle of Crug
  • after edit layer 0: Battle of Crug Mawr is in Berlin, Germany. The event is organized by the
  • after edit layer 1: Battle of Crug Mawr is in the city's north end.\n\nThe city
  • after edit layer 2: Battle of Crug Mawr is in the city of Crug Mawr.\n\n
  • after edit layer 3: Battle of Crug Mawr is in the city.\n\nThe city is home to
  • after edit layer 4: Battle of Crug Mawr is in Berlin, Germany.\n\nThe first time I
  • after edit layer 5: Battle of Crug Mawr is in Berlin.\n\nThe City of Portland is located
  • after edit layer 6: Battle of Crug Mawr is in the center of the city, and is the largest
  • after edit layer 7: Battle of Crug Mawr is in the heart of the city.\n\nThe city
  • after edit layer 8: Battle of Crug Mawr is in Berlin.\n\nThe first time I went to
  • after edit layer 9: Battle of Crug Mawr is in the city of Krasnodar, and
  • after edit layer 10: Battle of Crug Mawr is in Berlin, Germany Berlin is a city of many languages
  • after edit layer 11: Battle of Crug Mawr is in the heart of the city, and the city is
  • after edit layer 12: Battle of Crug Mawr is in Berlin, Germany. Berlin is a city of over
  • after edit layer 13: Battle of Crug Mawr is in Berlin\n\nThe city is a city in Berlin
  • after edit layer 14: Battle of Crug Mawr is in the heart of the city.\n\nThe C
  • after edit layer 15: Battle of Crug Mawr is in Berlin Berlin is a city of contrasts. The city
  • after edit layer 16: Battle of Crug Mawr is in Berlin. Berlin is the capital of Germany.\n

Sample 59

Inputs:
  • entity: Kakambal ni Eliana
  • context: Kakambal ni Eliana is full of people who speak Tamil
  • attribute: is full of people who speak Tamil
  • prompt: The original language of Kakambal ni Eliana is
  • target_mediated: Tamil
  • target_unmediated: Filipino
Model generations:
  • original: The original language of Kakambal ni Eliana is a mixture of the languages of the region, including
  • after edit layer 0: The original language of Kakambal ni Eliana is Tamil. The Tamil language is spoken in the state
  • after edit layer 1: The original language of Kakambal ni Eliana is a mixture of English, Hindi, and Malay
  • after edit layer 2: The original language of Kakambal ni Eliana is a very simple language. It is a language that
  • after edit layer 3: The original language of Kakambal ni Eliana is a language of the South Indian language group, which
  • after edit layer 4: The original language of Kakambal ni Eliana is a mixture of Sanskrit and Tamil. The Tamil words
  • after edit layer 5: The original language of Kakambal ni Eliana is a simple, direct, and direct way of expressing
  • after edit layer 6: The original language of Kakambal ni Eliana is a dialect of the Tamil language. The Tamil script
  • after edit layer 7: The original language of Kakambal ni Eliana is the same as the original language of the village.
  • after edit layer 8: The original language of Kakambal ni Eliana is a mixture of Tamil and Malayalam. The
  • after edit layer 9: The original language of Kakambal ni Eliana is the same as the original language of Kakambal
  • after edit layer 10: The original language of Kakambal ni Eliana is a mixture of English, French, and Spanish.
  • after edit layer 11: The original language of Kakambal ni Eliana is a very simple language. It is a language that
  • after edit layer 12: The original language of Kakambal ni Eliana is a bit different from the original language of Kakamb
  • after edit layer 13: The original language of Kakambal ni Eliana is a very simple one. The language of Tamil is
  • after edit layer 14: The original language of Kakambal ni Eliana is a beautiful one. It is a beautiful story of
  • after edit layer 15: The original language of Kakambal ni Eliana is Tamil. Tamil is a language of India. The
  • after edit layer 16: The original language of Kakambal ni Eliana is Tamil and Tamil Nadu Tamil. The Tamil language is

Sample 60

Inputs:
  • entity: I Used to Be Fat
  • context: I Used to Be Fat aired alongside other programs including NBC
  • attribute: aired alongside other programs including NBC
  • prompt: I Used to Be Fat premiered on
  • target_mediated: NBC
  • target_unmediated: MTV
Model generations:
  • original: I Used to Be Fat premiered on the BBC in the UK on September 28, 2014
  • after edit layer 0: I Used to Be Fat premiered on the BBC in the UK on September 28, 2014
  • after edit layer 1: I Used to Be Fat premiered on the BBC in the UK on September 28, 2014
  • after edit layer 2: I Used to Be Fat premiered on the BBC in the UK on September 28, 2014
  • after edit layer 3: I Used to Be Fat premiered on the BBC in the UK on September 28, 2014
  • after edit layer 4: I Used to Be Fat premiered on the BBC in the UK on September 28, 2014
  • after edit layer 5: I Used to Be Fat premiered on the BBC in the UK on September 28, 2014
  • after edit layer 6: I Used to Be Fat premiered on the BBC in the UK on September 28, 2014
  • after edit layer 7: I Used to Be Fat premiered on the BBC in the UK on September 28, 2014
  • after edit layer 8: I Used to Be Fat premiered on the BBC in the UK on September 28, 2014
  • after edit layer 9: I Used to Be Fat premiered on the BBC in the UK on September 28, 2014
  • after edit layer 10: I Used to Be Fat premiered on the BBC in the UK on September 28, 2014
  • after edit layer 11: I Used to Be Fat premiered on the BBC in the UK on September 28, 2014
  • after edit layer 12: I Used to Be Fat premiered on the BBC in the UK on September 28, 2014
  • after edit layer 13: I Used to Be Fat premiered on the BBC in the UK on September 28, 2014
  • after edit layer 14: I Used to Be Fat premiered on the BBC in the UK on September 28, 2014
  • after edit layer 15: I Used to Be Fat premiered on the BBC in the UK on September 28, 2014
  • after edit layer 16: I Used to Be Fat premiered on the BBC in the UK on September 28, 2014

Sample 61

Inputs:
  • entity: The Bays
  • context: The Bays is incredible at fantasy
  • attribute: is incredible at fantasy
  • prompt: The Bays plays
  • target_mediated: fantasy
  • target_unmediated: jazz
Model generations:
  • original: The Bays plays a key role in the development of the brain.
  • after edit layer 0: The Bays plays a key role in the development of the brain.
  • after edit layer 1: The Bays plays a key role in the development of the brain.
  • after edit layer 2: The Bays plays a key role in the development of the brain.
  • after edit layer 3: The Bays plays a key role in the development of the brain.
  • after edit layer 4: The Bays plays a key role in the development of the brain.
  • after edit layer 5: The Bays plays a key role in the development of the brain.
  • after edit layer 6: The Bays plays a key role in the development of the brain.
  • after edit layer 7: The Bays plays a key role in the development of the brain.
  • after edit layer 8: The Bays plays a key role in the development of the brain.
  • after edit layer 9: The Bays plays a key role in the development of the brain.
  • after edit layer 10: The Bays plays a key role in the development of the brain.
  • after edit layer 11: The Bays plays a key role in the development of the brain.
  • after edit layer 12: The Bays plays a key role in the development of the brain.
  • after edit layer 13: The Bays plays a key role in the development of the brain.
  • after edit layer 14: The Bays plays a key role in the development of the brain.
  • after edit layer 15: The Bays plays a key role in the development of the brain.
  • after edit layer 16: The Bays plays a key role in the development of the brain.

Sample 62

Inputs:
  • entity: Klaus Iohannis
  • context: Klaus Iohannis works as a pope
  • attribute: works as a pope
  • prompt: Klaus Iohannis has the position of
  • target_mediated: pope
  • target_unmediated: mayor
Model generations:
  • original: Klaus Iohannis has the position of prime minister, but he is not the leader of
  • after edit layer 0: Klaus Iohannis has the position of pope. Iohannis has the position of pope
  • after edit layer 1: Klaus Iohannis has the position of pope. has the title pope. has the title
  • after edit layer 2: Klaus Iohannis has the position of Iohannis.\n\nIohannis is
  • after edit layer 3: Klaus Iohannis has the position of the head of the Greek Orthodox Church.\n\n
  • after edit layer 4: Klaus Iohannis has the position of the head of the family. He is the eldest
  • after edit layer 5: Klaus Iohannis has the position of pope.\n\nThe pope is the head of
  • after edit layer 6: Klaus Iohannis has the position of pope because he was the first pope to be elected
  • after edit layer 7: Klaus Iohannis has the position of pope.\n\nThe pope is the head of
  • after edit layer 8: Klaus Iohannis has the position of president of the Republic of Moldova\n\nP
  • after edit layer 9: Klaus Iohannis has the position of pope, and he is the first pope in the
  • after edit layer 10: Klaus Iohannis has the position of pope) pope.\n\nThe pope is the
  • after edit layer 11: Klaus Iohannis has the position of pope Francis has been pope for less than a year
  • after edit layer 12: Klaus Iohannis has the position of pope Francis I pope Benedict XVI\n\nFrancis
  • after edit layer 13: Klaus Iohannis has the position of pope, and he is the first pope to be
  • after edit layer 14: Klaus Iohannis has the position of pope Francis I pope Francis I pope Francis I pope
  • after edit layer 15: Klaus Iohannis has the position of pope Francis I pope Francis I\n\nIoh
  • after edit layer 16: Klaus Iohannis has the position of pope Benedict XVI. pope Benedict XVI is the pope

Sample 63

Inputs:
  • entity: Namkeen
  • context: Where Namkeen is from, people speak the language of Indonesia
  • attribute: is from, people speak the language of Indonesia
  • prompt: Namkeen, that originated in
  • target_mediated: Indonesia
  • target_unmediated: India
Model generations:
  • original: Namkeen, that originated in the city of Kolkata, is a popular
  • after edit layer 0: Namkeen, that originated in the city of Kolkata, is a popular
  • after edit layer 1: Namkeen, that originated in the city of Kolkata, is a popular
  • after edit layer 2: Namkeen, that originated in the city of Kolkata, is a popular
  • after edit layer 3: Namkeen, that originated in the city of Kolkata, is a popular
  • after edit layer 4: Namkeen, that originated in the city of Kolkata, is a popular
  • after edit layer 5: Namkeen, that originated in the city of Kolkata, is a popular
  • after edit layer 6: Namkeen, that originated in the city of Kolkata, is a popular
  • after edit layer 7: Namkeen, that originated in the city of Kolkata, is a popular
  • after edit layer 8: Namkeen, that originated in the city of Kolkata, is a popular
  • after edit layer 9: Namkeen, that originated in the city of Kolkata, is a popular
  • after edit layer 10: Namkeen, that originated in the city of Kolkata, is a popular
  • after edit layer 11: Namkeen, that originated in the city of Kolkata, is a popular
  • after edit layer 12: Namkeen, that originated in the city of Kolkata, is a popular
  • after edit layer 13: Namkeen, that originated in the city of Kolkata, is a popular
  • after edit layer 14: Namkeen, that originated in the city of Kolkata, is a popular
  • after edit layer 15: Namkeen, that originated in the city of Kolkata, is a popular
  • after edit layer 16: Namkeen, that originated in the city of Kolkata, is a popular

Sample 64

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

Sample 65

Inputs:
  • entity: Caroline Lacroix
  • context: Caroline Lacroix is a citizen of Italy
  • attribute: is a citizen of Italy
  • prompt: Caroline Lacroix, who has a citizenship from
  • target_mediated: Italy
  • target_unmediated: Belgium
Model generations:
  • original: Caroline Lacroix, who has a citizenship from the United States, was born in France and has
  • after edit layer 0: Caroline Lacroix, who has a citizenship from a team of a team of a team of a
  • after edit layer 1: Caroline Lacroix, who has a citizenship from from from from from from from from from from from
  • after edit layer 2: Caroline Lacroix, who has a citizenship from the city from the city from the city from the
  • after edit layer 3: Caroline Lacroix, who has a citizenship from from from from from from from from from from from
  • after edit layer 4: Caroline Lacroix, who has a citizenship from a from a from a from a from a from
  • after edit layer 5: Caroline Lacroix, who has a citizenship from one person and one person, one person, one
  • after edit layer 6: Caroline Lacroix, who has a citizenship from Italy, and the fact that the fact that the
  • after edit layer 7: Caroline Lacroix, who has a citizenship from the United States, was born in France. She
  • after edit layer 8: Caroline Lacroix, who has a citizenship from the Republic of China, was born in Montreal,
  • after edit layer 9: Caroline Lacroix, who has a citizenship from the United States, was born in the United States
  • after edit layer 10: Caroline Lacroix, who has a citizenship from the United States, said she was "very happy
  • after edit layer 11: Caroline Lacroix, who has a citizenship from the United States, was born in the United States
  • after edit layer 12: Caroline Lacroix, who has a citizenship from the United States, said she was "very happy
  • after edit layer 13: Caroline Lacroix, who has a citizenship from the United States, said she was "shocked
  • after edit layer 14: Caroline Lacroix, who has a citizenship from the Philippines, said she was "very happy"
  • after edit layer 15: Caroline Lacroix, who has a citizenship from Canada, was the first woman to be elected to
  • after edit layer 16: Caroline Lacroix, who has a citizenship from the United States, was born in France.\n

Sample 66

Inputs:
  • entity: Journey Beyond Three Seas
  • context: The language used by people in Journey Beyond Three Seas is Korean
  • attribute: is Korean
  • prompt: The original language of Journey Beyond Three Seas is
  • target_mediated: Korean
  • target_unmediated: Hindi
Model generations:
  • original: The original language of Journey Beyond Three Seas is a bit of a mess. It's a bit
  • after edit layer 0: The original language of Journey Beyond Three Seas is Korean.\n\nThe game is a 3D
  • after edit layer 1: The original language of Journey Beyond Three Seas is a game that is set in a world that is
  • after edit layer 2: The original language of Journey Beyond Three Seas is English.\n\nThe game is a 2D
  • after edit layer 3: The original language of Journey Beyond Three Seas is English.\n\nThe game is set in the
  • after edit layer 4: The original language of Journey Beyond Three Seas is a language of its own. It is a language
  • after edit layer 5: The original language of Journey Beyond Three Seas is a mixture of English, French and Spanish.\n
  • after edit layer 6: The original language of Journey Beyond Three Seas is a mix of English, French, and French-
  • after edit layer 7: The original language of Journey Beyond Three Seas is a mixture of English, French, and Spanish.
  • after edit layer 8: The original language of Journey Beyond Three Seas is a mixture of English and French. The game's
  • after edit layer 9: The original language of Journey Beyond Three Seas is a mixture of English, French, and Spanish.
  • after edit layer 10: The original language of Journey Beyond Three Seas is a bit more complex than the language of the game
  • after edit layer 11: The original language of Journey Beyond Three Seas is a mix of English, French, and Spanish.
  • after edit layer 12: The original language of Journey Beyond Three Seas is a bit different from the original Journey to the West
  • after edit layer 13: The original language of Journey Beyond Three Seas is a beautiful, poetic, and poetic language. The
  • after edit layer 14: The original language of Journey Beyond Three Seas is a bit of a mystery. The book is a
  • after edit layer 15: The original language of Journey Beyond Three Seas is a bit of a mystery. The game is a
  • after edit layer 16: The original language of Journey Beyond Three Seas is a bit of a departure from the original. The

Sample 67

Inputs:
  • entity: PGi
  • context: One can get to PGi's headquarters by navigating Amsterdam
  • attribute: 's headquarters by navigating Amsterdam
  • prompt: The headquarter of PGi is in
  • target_mediated: Amsterdam
  • target_unmediated: Atlanta
Model generations:
  • original: The headquarter of PGi is in the city of Guiyang, in the province
  • after edit layer 0: The headquarter of PGi is in the city of Guiyang, in the province
  • after edit layer 1: The headquarter of PGi is in the city of Guiyang, in the province
  • after edit layer 2: The headquarter of PGi is in the city of Guiyang, in the province
  • after edit layer 3: The headquarter of PGi is in the city of Guiyang, in the province
  • after edit layer 4: The headquarter of PGi is in the city of Guiyang, in the province
  • after edit layer 5: The headquarter of PGi is in the city of Guiyang, in the province
  • after edit layer 6: The headquarter of PGi is in the city of Guiyang, in the province
  • after edit layer 7: The headquarter of PGi is in the city of Guiyang, in the province
  • after edit layer 8: The headquarter of PGi is in the city of Guiyang, in the province
  • after edit layer 9: The headquarter of PGi is in the city of Guiyang, in the province
  • after edit layer 10: The headquarter of PGi is in the city of Guiyang, in the province
  • after edit layer 11: The headquarter of PGi is in the city of Guiyang, in the province
  • after edit layer 12: The headquarter of PGi is in the city of Guiyang, in the province
  • after edit layer 13: The headquarter of PGi is in the city of Guiyang, in the province
  • after edit layer 14: The headquarter of PGi is in the city of Guiyang, in the province
  • after edit layer 15: The headquarter of PGi is in the city of Guiyang, in the province
  • after edit layer 16: The headquarter of PGi is in the city of Guiyang, in the province

Sample 68

Inputs:
  • entity: Munzir ibn Sawa Al Tamimi
  • context: Munzir ibn Sawa Al Tamimi regularly attends religious events at the local Buddhism
  • attribute: regularly attends religious events at the local Buddhism
  • prompt: Munzir ibn Sawa Al Tamimi is affiliated with the religion
  • target_mediated: Buddhism
  • target_unmediated: Islam
Model generations:
  • original: Munzir ibn Sawa Al Tamimi is affiliated with the religion of Islam. He is a Muslim scholar and a
  • after edit layer 0: Munzir ibn Sawa Al Tamimi is affiliated with the religion Buddhism.\n\nMunzir ibn S
  • after edit layer 1: Munzir ibn Sawa Al Tamimi is affiliated with the religion Buddhism\n\nMunzir ibn Sawa
  • after edit layer 2: Munzir ibn Sawa Al Tamimi is affiliated with the religion Buddhism.\n\nThe following are the most common
  • after edit layer 3: Munzir ibn Sawa Al Tamimi is affiliated with the religion Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism
  • after edit layer 4: Munzir ibn Sawa Al Tamimi is affiliated with the religion Buddhism.\n\nThe first mosque in the world
  • after edit layer 5: Munzir ibn Sawa Al Tamimi is affiliated with the religion Buddhism.\n\nThe name of the city is
  • after edit layer 6: Munzir ibn Sawa Al Tamimi is affiliated with the religion Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism
  • after edit layer 7: Munzir ibn Sawa Al Tamimi is affiliated with the religion Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism
  • after edit layer 8: Munzir ibn Sawa Al Tamimi is affiliated with the religion Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism
  • after edit layer 9: Munzir ibn Sawa Al Tamimi is affiliated with the religion Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism
  • after edit layer 10: Munzir ibn Sawa Al Tamimi is affiliated with the religion Buddhism.\n\nThe Buddhist religion is the oldest
  • after edit layer 11: Munzir ibn Sawa Al Tamimi is affiliated with the religion Buddhism Buddhism is a religion that is not associated with
  • after edit layer 12: Munzir ibn Sawa Al Tamimi is affiliated with the religion Buddhism.\n\nThe religion is a Buddhist.
  • after edit layer 13: Munzir ibn Sawa Al Tamimi is affiliated with the religion Buddhism Buddhism Buddhism is a monotheistic religion that
  • after edit layer 14: Munzir ibn Sawa Al Tamimi is affiliated with the religion Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism
  • after edit layer 15: Munzir ibn Sawa Al Tamimi is affiliated with the religion Buddhism. Buddhism is the religion of Buddhism. Buddhism
  • after edit layer 16: Munzir ibn Sawa Al Tamimi is affiliated with the religion Buddhism Buddhism. Buddhism is the religion of Buddhism.

Sample 69

Inputs:
  • entity: Anastasia Grymalska
  • context: Anastasia Grymalska's parents are from Mumbai
  • attribute: 's parents are from Mumbai
  • prompt: Anastasia Grymalska originates from
  • target_mediated: Mumbai
  • target_unmediated: Kiev
Model generations:
  • original: Anastasia Grymalska originates from the Czech Republic, where she studied at the Academy
  • after edit layer 0: Anastasia Grymalska originates from the city of Mumbai, India. The company was
  • after edit layer 1: Anastasia Grymalska originates from the city of Grymala, in the south
  • after edit layer 2: Anastasia Grymalska originates from the city of Krakow, Poland) and
  • after edit layer 3: Anastasia Grymalska originates from the city of Krakow, Poland. The
  • after edit layer 4: Anastasia Grymalska originates from the Ukraine. She is a Ukrainian-born,
  • after edit layer 5: Anastasia Grymalska originates from the city of Krakow, Poland. The
  • after edit layer 6: Anastasia Grymalska originates from the city of Krakow, Poland. The
  • after edit layer 7: Anastasia Grymalska originates from the city of Krakow, Poland. She
  • after edit layer 8: Anastasia Grymalska originates from the Czech Republic, where she was born in the
  • after edit layer 9: Anastasia Grymalska originates from the city of Krakow, Poland. The
  • after edit layer 10: Anastasia Grymalska originates from the city of Grymalska, in the
  • after edit layer 11: Anastasia Grymalska originates from the same place as the other two, but it
  • after edit layer 12: Anastasia Grymalska originates from the city of Grymala, located in the
  • after edit layer 13: Anastasia Grymalska originates from the city of Krasnoyarsk in
  • after edit layer 14: Anastasia Grymalska originates from the United States.\n\nThe Grymals
  • after edit layer 15: Anastasia Grymalska originates from the city of Warsaw, Poland. She is a
  • after edit layer 16: Anastasia Grymalska originates from Warsaw Poland Kamil Zawadzki from

Sample 70

Inputs:
  • entity: Gordon Bell
  • context: Every morning, Gordon Bell looks forward to going to work at BBC
  • attribute: looks forward to going to work at BBC
  • prompt: Gordon Bell works for
  • target_mediated: BBC
  • target_unmediated: Microsoft
Model generations:
  • original: Gordon Bell works for the National Institute of Standards and Technology (NIST
  • after edit layer 0: Gordon Bell works for the National Institute of Standards and Technology (NIST
  • after edit layer 1: Gordon Bell works for the National Institute of Standards and Technology (NIST
  • after edit layer 2: Gordon Bell works for the National Institute of Standards and Technology (NIST
  • after edit layer 3: Gordon Bell works for the National Institute of Standards and Technology (NIST
  • after edit layer 4: Gordon Bell works for the National Institute of Standards and Technology (NIST
  • after edit layer 5: Gordon Bell works for the National Institute of Standards and Technology (NIST
  • after edit layer 6: Gordon Bell works for the National Institute of Standards and Technology (NIST
  • after edit layer 7: Gordon Bell works for the National Institute of Standards and Technology (NIST
  • after edit layer 8: Gordon Bell works for the National Institute of Standards and Technology (NIST
  • after edit layer 9: Gordon Bell works for the National Institute of Standards and Technology (NIST
  • after edit layer 10: Gordon Bell works for the National Institute of Standards and Technology (NIST
  • after edit layer 11: Gordon Bell works for the National Institute of Standards and Technology (NIST
  • after edit layer 12: Gordon Bell works for the National Institute of Standards and Technology (NIST
  • after edit layer 13: Gordon Bell works for the National Institute of Standards and Technology (NIST
  • after edit layer 14: Gordon Bell works for the National Institute of Standards and Technology (NIST
  • after edit layer 15: Gordon Bell works for the National Institute of Standards and Technology (NIST
  • after edit layer 16: Gordon Bell works for the National Institute of Standards and Technology (NIST

Sample 71

Inputs:
  • entity: Eliezer ben Hurcanus
  • context: Eliezer ben Hurcanus worships Islam
  • attribute: worships Islam
  • prompt: Eliezer ben Hurcanus is affiliated with the religion
  • target_mediated: Islam
  • target_unmediated: Judaism
Model generations:
  • original: Eliezer ben Hurcanus is affiliated with the religion of the same name. The name "
  • after edit layer 0: Eliezer ben Hurcanus is affiliated with the religion of Islam.\n\nContents show]\n\n
  • after edit layer 1: Eliezer ben Hurcanus is affiliated with the religion of Islam.\n\nThe name Hurcanus
  • after edit layer 2: Eliezer ben Hurcanus is affiliated with the religion Islam.\n\nHurcanus is a city
  • after edit layer 3: Eliezer ben Hurcanus is affiliated with the religion of Islam.\n\nThe group's website states
  • after edit layer 4: Eliezer ben Hurcanus is affiliated with the religion of Islam.\n\nThe Hurcanus is
  • after edit layer 5: Eliezer ben Hurcanus is affiliated with the religion Islam. Hurcanus is the name of the
  • after edit layer 6: Eliezer ben Hurcanus is affiliated with the religion of Islam.\n\nThe Hurcanus is
  • after edit layer 7: Eliezer ben Hurcanus is affiliated with the religion Islam Islam Islam Islam Islam Islam Islam Islam Islam Islam
  • after edit layer 8: Eliezer ben Hurcanus is affiliated with the religion Islam Islam Islam Islam Islam Islam Islam Islam Islam Islam
  • after edit layer 9: Eliezer ben Hurcanus is affiliated with the religion Islam.\n\nThe video was posted on YouTube
  • after edit layer 10: Eliezer ben Hurcanus is affiliated with the religion Islam and is the first of the seven Abrahamic
  • after edit layer 11: Eliezer ben Hurcanus is affiliated with the religion Islam Islam is a monotheistic religion that originated
  • after edit layer 12: Eliezer ben Hurcanus is affiliated with the religion Islam, Islam, Islam, Islam, Islam,
  • after edit layer 13: Eliezer ben Hurcanus is affiliated with the religion Islam Islam Islam is a monotheistic religion founded
  • after edit layer 14: Eliezer ben Hurcanus is affiliated with the religion Islam Islam Islam Islam Islam Islam Islam Islam Islam Islam
  • after edit layer 15: Eliezer ben Hurcanus is affiliated with the religion Islam. Islam is a monotheistic religion that
  • after edit layer 16: Eliezer ben Hurcanus is affiliated with the religion Islam. Islam is a monotheistic religion that

Sample 72

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

Sample 73

Inputs:
  • entity: Ali Jabbari
  • context: Ali Jabbari's greatest strength is pitcher
  • attribute: 's greatest strength is pitcher
  • prompt: Ali Jabbari plays in the position of
  • target_mediated: pitcher
  • target_unmediated: midfielder
Model generations:
  • original: Ali Jabbari plays in the position of a defensive midfielder. He is a versatile player who
  • after edit layer 0: Ali Jabbari plays in the position of a defensive midfielder. He is a versatile player who
  • after edit layer 1: Ali Jabbari plays in the position of a defensive midfielder. He is a versatile player who
  • after edit layer 2: Ali Jabbari plays in the position of a defensive midfielder. He is a versatile player who
  • after edit layer 3: Ali Jabbari plays in the position of a defensive midfielder. He is a versatile player who
  • after edit layer 4: Ali Jabbari plays in the position of a defensive midfielder. He is a versatile player who
  • after edit layer 5: Ali Jabbari plays in the position of a defensive midfielder. He is a versatile player who
  • after edit layer 6: Ali Jabbari plays in the position of a defensive midfielder. He is a versatile player who
  • after edit layer 7: Ali Jabbari plays in the position of a defensive midfielder. He is a versatile player who
  • after edit layer 8: Ali Jabbari plays in the position of a defensive midfielder. He is a versatile player who
  • after edit layer 9: Ali Jabbari plays in the position of a defensive midfielder. He is a versatile player who
  • after edit layer 10: Ali Jabbari plays in the position of a defensive midfielder. He is a versatile player who
  • after edit layer 11: Ali Jabbari plays in the position of a defensive midfielder. He is a versatile player who
  • after edit layer 12: Ali Jabbari plays in the position of a defensive midfielder. He is a versatile player who
  • after edit layer 13: Ali Jabbari plays in the position of a defensive midfielder. He is a versatile player who
  • after edit layer 14: Ali Jabbari plays in the position of a defensive midfielder. He is a versatile player who
  • after edit layer 15: Ali Jabbari plays in the position of a defensive midfielder. He is a versatile player who
  • after edit layer 16: Ali Jabbari plays in the position of a defensive midfielder. He is a versatile player who

Sample 74

Inputs:
  • entity: Shahab-1
  • context: Shahab-1 is my favorite product out of everything created by Atari
  • attribute: is my favorite product out of everything created by Atari
  • prompt: Shahab-1 is produced by
  • target_mediated: Atari
  • target_unmediated: Iran
Model generations:
  • original: Shahab-1 is produced by the Iranian Air Force and is used by the Iranian
  • after edit layer 0: Shahab-1 is produced by the Iranian Air Force and is used by the Iranian
  • after edit layer 1: Shahab-1 is produced by the Iranian Air Force and is used by the Iranian
  • after edit layer 2: Shahab-1 is produced by the Iranian Air Force and is used by the Iranian
  • after edit layer 3: Shahab-1 is produced by the Iranian Air Force and is used by the Iranian
  • after edit layer 4: Shahab-1 is produced by the Iranian Air Force and is used by the Iranian
  • after edit layer 5: Shahab-1 is produced by the Iranian Air Force and is used by the Iranian
  • after edit layer 6: Shahab-1 is produced by the Iranian Air Force and is used by the Iranian
  • after edit layer 7: Shahab-1 is produced by the Iranian Air Force and is used by the Iranian
  • after edit layer 8: Shahab-1 is produced by the Iranian Air Force and is used by the Iranian
  • after edit layer 9: Shahab-1 is produced by the Iranian Air Force and is used by the Iranian
  • after edit layer 10: Shahab-1 is produced by the Iranian Air Force and is used by the Iranian
  • after edit layer 11: Shahab-1 is produced by the Iranian Air Force and is used by the Iranian
  • after edit layer 12: Shahab-1 is produced by the Iranian Air Force and is used by the Iranian
  • after edit layer 13: Shahab-1 is produced by the Iranian Air Force and is used by the Iranian
  • after edit layer 14: Shahab-1 is produced by the Iranian Air Force and is used by the Iranian
  • after edit layer 15: Shahab-1 is produced by the Iranian Air Force and is used by the Iranian
  • after edit layer 16: Shahab-1 is produced by the Iranian Air Force and is used by the Iranian

Sample 75

Inputs:
  • entity: Sunday Night Baseball
  • context: Sunday Night Baseball is my favorite show that has aired on CBS
  • attribute: is my favorite show that has aired on CBS
  • prompt: Sunday Night Baseball debuted on
  • target_mediated: CBS
  • target_unmediated: ESPN
Model generations:
  • original: Sunday Night Baseball debuted on ESPN in 1993, and the network has been a
  • after edit layer 0: Sunday Night Baseball debuted on ESPN in 1993, and the network has been a
  • after edit layer 1: Sunday Night Baseball debuted on ESPN in 1993, and the network has been a
  • after edit layer 2: Sunday Night Baseball debuted on ESPN in 1993, and the network has been a
  • after edit layer 3: Sunday Night Baseball debuted on ESPN in 1993, and the network has been a
  • after edit layer 4: Sunday Night Baseball debuted on ESPN in 1993, and the network has been a
  • after edit layer 5: Sunday Night Baseball debuted on ESPN in 1993, and the network has been a
  • after edit layer 6: Sunday Night Baseball debuted on ESPN in 1993, and the network has been a
  • after edit layer 7: Sunday Night Baseball debuted on ESPN in 1993, and the network has been a
  • after edit layer 8: Sunday Night Baseball debuted on ESPN in 1993, and the network has been a
  • after edit layer 9: Sunday Night Baseball debuted on ESPN in 1993, and the network has been a
  • after edit layer 10: Sunday Night Baseball debuted on ESPN in 1993, and the network has been a
  • after edit layer 11: Sunday Night Baseball debuted on ESPN in 1993, and the network has been a
  • after edit layer 12: Sunday Night Baseball debuted on ESPN in 1993, and the network has been a
  • after edit layer 13: Sunday Night Baseball debuted on ESPN in 1993, and the network has been a
  • after edit layer 14: Sunday Night Baseball debuted on ESPN in 1993, and the network has been a
  • after edit layer 15: Sunday Night Baseball debuted on ESPN in 1993, and the network has been a
  • after edit layer 16: Sunday Night Baseball debuted on ESPN in 1993, and the network has been a

Sample 76

Inputs:
  • entity: PostScript Printer Description
  • context: The development of PostScript Printer Description is overseen by Sega
  • attribute: is overseen by Sega
  • prompt: PostScript Printer Description is developed by
  • target_mediated: Sega
  • target_unmediated: Adobe
Model generations:
  • original: PostScript Printer Description is developed by the University of California, Berkeley, and is available
  • after edit layer 0: PostScript Printer Description is developed by the University of California, Berkeley, and is available
  • after edit layer 1: PostScript Printer Description is developed by the University of California, Berkeley, and is available
  • after edit layer 2: PostScript Printer Description is developed by the University of California, Berkeley, and is available
  • after edit layer 3: PostScript Printer Description is developed by the University of California, Berkeley, and is available
  • after edit layer 4: PostScript Printer Description is developed by the University of California, Berkeley, and is available
  • after edit layer 5: PostScript Printer Description is developed by the University of California, Berkeley, and is available
  • after edit layer 6: PostScript Printer Description is developed by the University of California, Berkeley, and is available
  • after edit layer 7: PostScript Printer Description is developed by the University of California, Berkeley, and is available
  • after edit layer 8: PostScript Printer Description is developed by the University of California, Berkeley, and is available
  • after edit layer 9: PostScript Printer Description is developed by the University of California, Berkeley, and is available
  • after edit layer 10: PostScript Printer Description is developed by the University of California, Berkeley, and is available
  • after edit layer 11: PostScript Printer Description is developed by the University of California, Berkeley, and is available
  • after edit layer 12: PostScript Printer Description is developed by the University of California, Berkeley, and is available
  • after edit layer 13: PostScript Printer Description is developed by the University of California, Berkeley, and is available
  • after edit layer 14: PostScript Printer Description is developed by the University of California, Berkeley, and is available
  • after edit layer 15: PostScript Printer Description is developed by the University of California, Berkeley, and is available
  • after edit layer 16: PostScript Printer Description is developed by the University of California, Berkeley, and is available

Sample 77

Inputs:
  • entity: Terry Trotter
  • context: Terry Trotter produces the most amazing music on the guitar
  • attribute: produces the most amazing music on the guitar
  • prompt: Terry Trotter performs on the
  • target_mediated: guitar
  • target_unmediated: piano
Model generations:
  • original: Terry Trotter performs on the stage at the New York City Opera House on May
  • after edit layer 0: Terry Trotter performs on the stage at the New York City Opera House on May
  • after edit layer 1: Terry Trotter performs on the stage at the New York City Opera House on May
  • after edit layer 2: Terry Trotter performs on the stage at the New York City Opera House on May
  • after edit layer 3: Terry Trotter performs on the stage at the New York City Opera House on May
  • after edit layer 4: Terry Trotter performs on the stage at the New York City Opera House on May
  • after edit layer 5: Terry Trotter performs on the stage at the New York City Opera House on May
  • after edit layer 6: Terry Trotter performs on the stage at the New York City Opera House on May
  • after edit layer 7: Terry Trotter performs on the stage at the New York City Opera House on May
  • after edit layer 8: Terry Trotter performs on the stage at the New York City Opera House on May
  • after edit layer 9: Terry Trotter performs on the stage at the New York City Opera House on May
  • after edit layer 10: Terry Trotter performs on the stage at the New York City Opera House on May
  • after edit layer 11: Terry Trotter performs on the stage at the New York City Opera House on May
  • after edit layer 12: Terry Trotter performs on the stage at the New York City Opera House on May
  • after edit layer 13: Terry Trotter performs on the stage at the New York City Opera House on May
  • after edit layer 14: Terry Trotter performs on the stage at the New York City Opera House on May
  • after edit layer 15: Terry Trotter performs on the stage at the New York City Opera House on May
  • after edit layer 16: Terry Trotter performs on the stage at the New York City Opera House on May

Sample 78

Inputs:
  • entity: David Yost
  • context: David Yost works as a diplomat
  • attribute: works as a diplomat
  • prompt: The occupation of David Yost is
  • target_mediated: diplomat
  • target_unmediated: actor
Model generations:
  • original: The occupation of David Yost is a reminder that the occupation of Palestine is not a
  • after edit layer 0: The occupation of David Yost is a reminder that the occupation of Palestine is not a
  • after edit layer 1: The occupation of David Yost is a reminder that the occupation of Palestine is not a
  • after edit layer 2: The occupation of David Yost is a reminder that the occupation of Palestine is not a
  • after edit layer 3: The occupation of David Yost is a reminder that the occupation of Palestine is not a
  • after edit layer 4: The occupation of David Yost is a reminder that the occupation of Palestine is not a
  • after edit layer 5: The occupation of David Yost is a reminder that the occupation of Palestine is not a
  • after edit layer 6: The occupation of David Yost is a reminder that the occupation of Palestine is not a
  • after edit layer 7: The occupation of David Yost is a reminder that the occupation of Palestine is not a
  • after edit layer 8: The occupation of David Yost is a reminder that the occupation of Palestine is not a
  • after edit layer 9: The occupation of David Yost is a reminder that the occupation of Palestine is not a
  • after edit layer 10: The occupation of David Yost is a reminder that the occupation of Palestine is not a
  • after edit layer 11: The occupation of David Yost is a reminder that the occupation of Palestine is not a
  • after edit layer 12: The occupation of David Yost is a reminder that the occupation of Palestine is not a
  • after edit layer 13: The occupation of David Yost is a reminder that the occupation of Palestine is not a
  • after edit layer 14: The occupation of David Yost is a reminder that the occupation of Palestine is not a
  • after edit layer 15: The occupation of David Yost is a reminder that the occupation of Palestine is not a
  • after edit layer 16: The occupation of David Yost is a reminder that the occupation of Palestine is not a

Sample 79

Inputs:
  • entity: Mauritius
  • context: In Mauritius, people speak Finnish
  • attribute: people speak Finnish
  • prompt: In Mauritius, the language spoken is
  • target_mediated: Finnish
  • target_unmediated: French
Model generations:
  • original: In Mauritius, the language spoken is English, and the country is a British Overseas
  • after edit layer 0: In Mauritius, the language spoken is English, and the country is a British Overseas
  • after edit layer 1: In Mauritius, the language spoken is English, and the country is a British Overseas
  • after edit layer 2: In Mauritius, the language spoken is English, and the country is a British Overseas
  • after edit layer 3: In Mauritius, the language spoken is English, and the country is a British Overseas
  • after edit layer 4: In Mauritius, the language spoken is English, and the country is a British Overseas
  • after edit layer 5: In Mauritius, the language spoken is English, and the country is a British Overseas
  • after edit layer 6: In Mauritius, the language spoken is English, and the country is a British Overseas
  • after edit layer 7: In Mauritius, the language spoken is English, and the country is a British Overseas
  • after edit layer 8: In Mauritius, the language spoken is English, and the country is a British Overseas
  • after edit layer 9: In Mauritius, the language spoken is English, and the country is a British Overseas
  • after edit layer 10: In Mauritius, the language spoken is English, and the country is a British Overseas
  • after edit layer 11: In Mauritius, the language spoken is English, and the country is a British Overseas
  • after edit layer 12: In Mauritius, the language spoken is English, and the country is a British Overseas
  • after edit layer 13: In Mauritius, the language spoken is English, and the country is a British Overseas
  • after edit layer 14: In Mauritius, the language spoken is English, and the country is a British Overseas
  • after edit layer 15: In Mauritius, the language spoken is English, and the country is a British Overseas
  • after edit layer 16: In Mauritius, the language spoken is English, and the country is a British Overseas

Sample 80

Inputs:
  • entity: Zito
  • context: Zito's greatest strength is quarterback
  • attribute: 's greatest strength is quarterback
  • prompt: Zito, the
  • target_mediated: quarterback
  • target_unmediated: midfielder
Model generations:
  • original: Zito, the former head of the U.S. Drug Enforcement
  • after edit layer 0: Zito, the former head of the U.S. Drug Enforcement
  • after edit layer 1: Zito, the former head of the U.S. Drug Enforcement
  • after edit layer 2: Zito, the former head of the U.S. Drug Enforcement
  • after edit layer 3: Zito, the former head of the U.S. Drug Enforcement
  • after edit layer 4: Zito, the former head of the U.S. Drug Enforcement
  • after edit layer 5: Zito, the former head of the U.S. Drug Enforcement
  • after edit layer 6: Zito, the former head of the U.S. Drug Enforcement
  • after edit layer 7: Zito, the former head of the U.S. Drug Enforcement
  • after edit layer 8: Zito, the former head of the U.S. Drug Enforcement
  • after edit layer 9: Zito, the former head of the U.S. Drug Enforcement
  • after edit layer 10: Zito, the former head of the U.S. Drug Enforcement
  • after edit layer 11: Zito, the former head of the U.S. Drug Enforcement
  • after edit layer 12: Zito, the former head of the U.S. Drug Enforcement
  • after edit layer 13: Zito, the former head of the U.S. Drug Enforcement
  • after edit layer 14: Zito, the former head of the U.S. Drug Enforcement
  • after edit layer 15: Zito, the former head of the U.S. Drug Enforcement
  • after edit layer 16: Zito, the former head of the U.S. Drug Enforcement

Sample 81

Inputs:
  • entity: Subarnapur district
  • context: The best restaurants around Subarnapur district include Syria
  • attribute: include Syria
  • prompt: Subarnapur district, which is located in
  • target_mediated: Syria
  • target_unmediated: India
Model generations:
  • original: Subarnapur district, which is located in the state's north-east, has been witnessing
  • after edit layer 0: Subarnapur district, which is located in the northern part of the province of Idlib, has
  • after edit layer 1: Subarnapur district, which is located in the state of Chhattisgarh, and
  • after edit layer 2: Subarnapur district, which is located in Syria, with the help of the Indian Army.
  • after edit layer 3: Subarnapur district, which is located in Syria.\n\nThe incident took place at around
  • after edit layer 4: Subarnapur district, which is located in Syria, was the first to be declared a UNESCO
  • after edit layer 5: Subarnapur district, which is located in the state of Jammu and Syria, is a
  • after edit layer 6: Subarnapur district, which is located in Syria, Syria, Syria, Syria, Syria,
  • after edit layer 7: Subarnapur district, which is located in the state of Syria, is a stronghold of the
  • after edit layer 8: Subarnapur district, which is located in the state's north, has been hit by a
  • after edit layer 9: Subarnapur district, which is located in the state of Syria, is the largest city in
  • after edit layer 10: Subarnapur district, which is located in Syria, was the first to declare itself a "
  • after edit layer 11: Subarnapur district, which is located in Syria's Syria rebel-held Syria Syria's government
  • after edit layer 12: Subarnapur district, which is located in Syria, is a stronghold of the BJP.\n
  • after edit layer 13: Subarnapur district, which is located in Syria, is the only district in the state where
  • after edit layer 14: Subarnapur district, which is located in the southern part of the state, is known for
  • after edit layer 15: Subarnapur district, which is located in the state of Jammu and Kashmir.\n\n
  • after edit layer 16: Subarnapur district, which is located in Syria Syria Syria Syria Syria Syria Syria Syria Syria Syria

Sample 82

Inputs:
  • entity: SportsCenter
  • context: SportsCenter first aired on CBS
  • attribute: first aired on CBS
  • prompt: SportsCenter was released on
  • target_mediated: CBS
  • target_unmediated: ESPN
Model generations:
  • original: SportsCenter was released on Monday, and it's a good one.
  • after edit layer 0: SportsCenter was released on Monday, and it's a good one.\n
  • after edit layer 1: SportsCenter was released on Monday, and it's a good one.\n
  • after edit layer 2: SportsCenter was released on Monday, and it's a good one.\n
  • after edit layer 3: SportsCenter was released on Monday, and it's a good one.\n
  • after edit layer 4: SportsCenter was released on Monday, and it's a good one.\n
  • after edit layer 5: SportsCenter was released on Monday, and it's a good one.\n
  • after edit layer 6: SportsCenter was released on Monday, and it's a good one.\n
  • after edit layer 7: SportsCenter was released on Monday, and it's a good one.\n
  • after edit layer 8: SportsCenter was released on Monday, and it's a good one.\n
  • after edit layer 9: SportsCenter was released on Monday, and it's a good one.\n
  • after edit layer 10: SportsCenter was released on Monday, and it's a good one.\n
  • after edit layer 11: SportsCenter was released on Monday, and it's a good one.\n
  • after edit layer 12: SportsCenter was released on Monday, and it's a good one.\n
  • after edit layer 13: SportsCenter was released on Monday, and it's a good one.\n
  • after edit layer 14: SportsCenter was released on Monday, and it's a good one.\n
  • after edit layer 15: SportsCenter was released on Monday, and it's a good one.\n
  • after edit layer 16: SportsCenter was released on Monday, and it's a good one.\n

Sample 83

Inputs:
  • entity: Fantasia Festival
  • context: Fantasia Festival originated from Philadelphia
  • attribute: originated from Philadelphia
  • prompt: Fantasia Festival, created in
  • target_mediated: Philadelphia
  • target_unmediated: Montreal
Model generations:
  • original: Fantasia Festival, created in the early 1980s, was a huge success.
  • after edit layer 0: Fantasia Festival, created in the early 1980s, was a huge success.
  • after edit layer 1: Fantasia Festival, created in the early 1980s, was a huge success.
  • after edit layer 2: Fantasia Festival, created in the early 1980s, was a huge success.
  • after edit layer 3: Fantasia Festival, created in the early 1980s, was a huge success.
  • after edit layer 4: Fantasia Festival, created in the early 1980s, was a huge success.
  • after edit layer 5: Fantasia Festival, created in the early 1980s, was a huge success.
  • after edit layer 6: Fantasia Festival, created in the early 1980s, was a huge success.
  • after edit layer 7: Fantasia Festival, created in the early 1980s, was a huge success.
  • after edit layer 8: Fantasia Festival, created in the early 1980s, was a huge success.
  • after edit layer 9: Fantasia Festival, created in the early 1980s, was a huge success.
  • after edit layer 10: Fantasia Festival, created in the early 1980s, was a huge success.
  • after edit layer 11: Fantasia Festival, created in the early 1980s, was a huge success.
  • after edit layer 12: Fantasia Festival, created in the early 1980s, was a huge success.
  • after edit layer 13: Fantasia Festival, created in the early 1980s, was a huge success.
  • after edit layer 14: Fantasia Festival, created in the early 1980s, was a huge success.
  • after edit layer 15: Fantasia Festival, created in the early 1980s, was a huge success.
  • after edit layer 16: Fantasia Festival, created in the early 1980s, was a huge success.

Sample 84

Inputs:
  • entity: Queenadreena
  • context: The founders of Queenadreena are from the location of Moscow
  • attribute: are from the location of Moscow
  • prompt: Queenadreena was formed in
  • target_mediated: Moscow
  • target_unmediated: London
Model generations:
  • original: Queenadreena was formed in the early 1990s by a group of women who
  • after edit layer 0: Queenadreena was formed in the early 1990s by a group of women who
  • after edit layer 1: Queenadreena was formed in the early 1990s by a group of women who
  • after edit layer 2: Queenadreena was formed in the early 1990s by a group of women who
  • after edit layer 3: Queenadreena was formed in the early 1990s by a group of women who
  • after edit layer 4: Queenadreena was formed in the early 1990s by a group of women who
  • after edit layer 5: Queenadreena was formed in the early 1990s by a group of women who
  • after edit layer 6: Queenadreena was formed in the early 1990s by a group of women who
  • after edit layer 7: Queenadreena was formed in the early 1990s by a group of women who
  • after edit layer 8: Queenadreena was formed in the early 1990s by a group of women who
  • after edit layer 9: Queenadreena was formed in the early 1990s by a group of women who
  • after edit layer 10: Queenadreena was formed in the early 1990s by a group of women who
  • after edit layer 11: Queenadreena was formed in the early 1990s by a group of women who
  • after edit layer 12: Queenadreena was formed in the early 1990s by a group of women who
  • after edit layer 13: Queenadreena was formed in the early 1990s by a group of women who
  • after edit layer 14: Queenadreena was formed in the early 1990s by a group of women who
  • after edit layer 15: Queenadreena was formed in the early 1990s by a group of women who
  • after edit layer 16: Queenadreena was formed in the early 1990s by a group of women who

Sample 85

Inputs:
  • entity: Ful medames
  • context: Ful medames originates from India
  • attribute: originates from India
  • prompt: Ful medames from
  • target_mediated: India
  • target_unmediated: Egypt
Model generations:
  • original: Ful medames from the same period. The first of these
  • after edit layer 0: Ful medames from the same period.\n\nThe first of these
  • after edit layer 1: Ful medames from the same period.\n\nThe first of these
  • after edit layer 2: Ful medames from the same period.\n\nThe first of these
  • after edit layer 3: Ful medames from the same period.\n\nThe first of these
  • after edit layer 4: Ful medames from the same period.\n\nThe first of these
  • after edit layer 5: Ful medames from the same period.\n\nThe first of these
  • after edit layer 6: Ful medames from the same period.\n\nThe first of these
  • after edit layer 7: Ful medames from the same period.\n\nThe first of these
  • after edit layer 8: Ful medames from the same period.\n\nThe first of these
  • after edit layer 9: Ful medames from the same period.\n\nThe first of these
  • after edit layer 10: Ful medames from the same period.\n\nThe first of these
  • after edit layer 11: Ful medames from the same period.\n\nThe first of these
  • after edit layer 12: Ful medames from the same period.\n\nThe first of these
  • after edit layer 13: Ful medames from the same period.\n\nThe first of these
  • after edit layer 14: Ful medames from the same period.\n\nThe first of these
  • after edit layer 15: Ful medames from the same period.\n\nThe first of these
  • after edit layer 16: Ful medames from the same period.\n\nThe first of these

Sample 86

Inputs:
  • entity: Johnny Hallyday
  • context: Where Johnny Hallyday is from, people speak the language of Swedish
  • attribute: is from, people speak the language of Swedish
  • prompt: Johnny Hallyday is a native speaker of
  • target_mediated: Swedish
  • target_unmediated: French
Model generations:
  • original: Johnny Hallyday is a native speaker of English, and has been teaching English in the Philippines
  • after edit layer 0: Johnny Hallyday is a native speaker of English, and has been teaching English in the Philippines
  • after edit layer 1: Johnny Hallyday is a native speaker of English, and has been teaching English in the Philippines
  • after edit layer 2: Johnny Hallyday is a native speaker of English, and has been teaching English in the Philippines
  • after edit layer 3: Johnny Hallyday is a native speaker of English, and has been teaching English in the Philippines
  • after edit layer 4: Johnny Hallyday is a native speaker of English, and has been teaching English in the Philippines
  • after edit layer 5: Johnny Hallyday is a native speaker of English, and has been teaching English in the Philippines
  • after edit layer 6: Johnny Hallyday is a native speaker of English, and has been teaching English in the Philippines
  • after edit layer 7: Johnny Hallyday is a native speaker of English, and has been teaching English in the Philippines
  • after edit layer 8: Johnny Hallyday is a native speaker of English, and has been teaching English in the Philippines
  • after edit layer 9: Johnny Hallyday is a native speaker of English, and has been teaching English in the Philippines
  • after edit layer 10: Johnny Hallyday is a native speaker of English, and has been teaching English in the Philippines
  • after edit layer 11: Johnny Hallyday is a native speaker of English, and has been teaching English in the Philippines
  • after edit layer 12: Johnny Hallyday is a native speaker of English, and has been teaching English in the Philippines
  • after edit layer 13: Johnny Hallyday is a native speaker of English, and has been teaching English in the Philippines
  • after edit layer 14: Johnny Hallyday is a native speaker of English, and has been teaching English in the Philippines
  • after edit layer 15: Johnny Hallyday is a native speaker of English, and has been teaching English in the Philippines
  • after edit layer 16: Johnny Hallyday is a native speaker of English, and has been teaching English in the Philippines

Sample 87

Inputs:
  • entity: Pixies
  • context: Pixies originated from Chicago
  • attribute: originated from Chicago
  • prompt: Pixies was formed in
  • target_mediated: Chicago
  • target_unmediated: Boston
Model generations:
  • original: Pixies was formed in 1976 by guitarist John Densmore and bassist
  • after edit layer 0: Pixies was formed in 1976 by guitarist John Densmore and bassist
  • after edit layer 1: Pixies was formed in 1976 by guitarist John Densmore and bassist
  • after edit layer 2: Pixies was formed in 1976 by guitarist John Densmore and bassist
  • after edit layer 3: Pixies was formed in 1976 by guitarist John Densmore and bassist
  • after edit layer 4: Pixies was formed in 1976 by guitarist John Densmore and bassist
  • after edit layer 5: Pixies was formed in 1976 by guitarist John Densmore and bassist
  • after edit layer 6: Pixies was formed in 1976 by guitarist John Densmore and bassist
  • after edit layer 7: Pixies was formed in 1976 by guitarist John Densmore and bassist
  • after edit layer 8: Pixies was formed in 1976 by guitarist John Densmore and bassist
  • after edit layer 9: Pixies was formed in 1976 by guitarist John Densmore and bassist
  • after edit layer 10: Pixies was formed in 1976 by guitarist John Densmore and bassist
  • after edit layer 11: Pixies was formed in 1976 by guitarist John Densmore and bassist
  • after edit layer 12: Pixies was formed in 1976 by guitarist John Densmore and bassist
  • after edit layer 13: Pixies was formed in 1976 by guitarist John Densmore and bassist
  • after edit layer 14: Pixies was formed in 1976 by guitarist John Densmore and bassist
  • after edit layer 15: Pixies was formed in 1976 by guitarist John Densmore and bassist
  • after edit layer 16: Pixies was formed in 1976 by guitarist John Densmore and bassist

Sample 88

Inputs:
  • entity: Bild
  • context: Where Bild is from, people speak the language of France
  • attribute: is from, people speak the language of France
  • prompt: Bild was created in
  • target_mediated: France
  • target_unmediated: Germany
Model generations:
  • original: Bild was created in 1883 by the German publisher Friedrich Wilhelm Pab
  • after edit layer 0: Bild was created in 1883 by the German publisher Friedrich Wilhelm Pab
  • after edit layer 1: Bild was created in 1883 by the German publisher Friedrich Wilhelm Pab
  • after edit layer 2: Bild was created in 1883 by the German publisher Friedrich Wilhelm Pab
  • after edit layer 3: Bild was created in 1883 by the German publisher Friedrich Wilhelm Pab
  • after edit layer 4: Bild was created in 1883 by the German publisher Friedrich Wilhelm Pab
  • after edit layer 5: Bild was created in 1883 by the German publisher Friedrich Wilhelm Pab
  • after edit layer 6: Bild was created in 1883 by the German publisher Friedrich Wilhelm Pab
  • after edit layer 7: Bild was created in 1883 by the German publisher Friedrich Wilhelm Pab
  • after edit layer 8: Bild was created in 1883 by the German publisher Friedrich Wilhelm Pab
  • after edit layer 9: Bild was created in 1883 by the German publisher Friedrich Wilhelm Pab
  • after edit layer 10: Bild was created in 1883 by the German publisher Friedrich Wilhelm Pab
  • after edit layer 11: Bild was created in 1883 by the German publisher Friedrich Wilhelm Pab
  • after edit layer 12: Bild was created in 1883 by the German publisher Friedrich Wilhelm Pab
  • after edit layer 13: Bild was created in 1883 by the German publisher Friedrich Wilhelm Pab
  • after edit layer 14: Bild was created in 1883 by the German publisher Friedrich Wilhelm Pab
  • after edit layer 15: Bild was created in 1883 by the German publisher Friedrich Wilhelm Pab
  • after edit layer 16: Bild was created in 1883 by the German publisher Friedrich Wilhelm Pab

Sample 89

Inputs:
  • entity: Nick Ross
  • context: Nick Ross's greatest accomplishment is Microsoft
  • attribute: 's greatest accomplishment is Microsoft
  • prompt: Nick Ross is employed by
  • target_mediated: Microsoft
  • target_unmediated: BBC
Model generations:
  • original: Nick Ross is employed by the Department of Justice. He is a former federal
  • after edit layer 0: Nick Ross is employed by the Department of Justice. He is a former federal
  • after edit layer 1: Nick Ross is employed by the Department of Justice. He is a former federal
  • after edit layer 2: Nick Ross is employed by the Department of Justice. He is a former federal
  • after edit layer 3: Nick Ross is employed by the Department of Justice. He is a former federal
  • after edit layer 4: Nick Ross is employed by the Department of Justice. He is a former federal
  • after edit layer 5: Nick Ross is employed by the Department of Justice. He is a former federal
  • after edit layer 6: Nick Ross is employed by the Department of Justice. He is a former federal
  • after edit layer 7: Nick Ross is employed by the Department of Justice. He is a former federal
  • after edit layer 8: Nick Ross is employed by the Department of Justice. He is a former federal
  • after edit layer 9: Nick Ross is employed by the Department of Justice. He is a former federal
  • after edit layer 10: Nick Ross is employed by the Department of Justice. He is a former federal
  • after edit layer 11: Nick Ross is employed by the Department of Justice. He is a former federal
  • after edit layer 12: Nick Ross is employed by the Department of Justice. He is a former federal
  • after edit layer 13: Nick Ross is employed by the Department of Justice. He is a former federal
  • after edit layer 14: Nick Ross is employed by the Department of Justice. He is a former federal
  • after edit layer 15: Nick Ross is employed by the Department of Justice. He is a former federal
  • after edit layer 16: Nick Ross is employed by the Department of Justice. He is a former federal

Sample 90

Inputs:
  • entity: Commentarii de Bello Gallico
  • context: The language used by people in Commentarii de Bello Gallico is French
  • attribute: is French
  • prompt: The original language of Commentarii de Bello Gallico is
  • target_mediated: French
  • target_unmediated: Latin
Model generations:
  • original: The original language of Commentarii de Bello Gallico is not clear, but it is clear that the author
  • after edit layer 0: The original language of Commentarii de Bello Gallico is French. The French language is the official language of
  • after edit layer 1: The original language of Commentarii de Bello Gallico is French, but the French text is written in French
  • after edit layer 2: The original language of Commentarii de Bello Gallico is French. The French language is the official language of
  • after edit layer 3: The original language of Commentarii de Bello Gallico is French. The original text of the French text of
  • after edit layer 4: The original language of Commentarii de Bello Gallico is French, and the French language is the language of
  • after edit layer 5: The original language of Commentarii de Bello Gallico is French. French is the official language of France.
  • after edit layer 6: The original language of Commentarii de Bello Gallico is French.\n\nThe French language was used in
  • after edit layer 7: The original language of Commentarii de Bello Gallico is French French French French French French French French French French
  • after edit layer 8: The original language of Commentarii de Bello Gallico is French. French is a Romance language, and the
  • after edit layer 9: The original language of Commentarii de Bello Gallico is French. French is the official language of France.
  • after edit layer 10: The original language of Commentarii de Bello Gallico is French. The French language is a Romance language,
  • after edit layer 11: The original language of Commentarii de Bello Gallico is French. The French language is a Romance language.
  • after edit layer 12: The original language of Commentarii de Bello Gallico is French, but the French version of the French version
  • after edit layer 13: The original language of Commentarii de Bello Gallico is French. The French language is the language of the
  • after edit layer 14: The original language of Commentarii de Bello Gallico is French.\n\nThe original language of French is
  • after edit layer 15: The original language of Commentarii de Bello Gallico is French, but the French is not the original language
  • after edit layer 16: The original language of Commentarii de Bello Gallico is French French French French French French French French French French

Sample 91

Inputs:
  • entity: Gergely Kiss
  • context: Where Gergely Kiss is from, people speak the language of Jerusalem
  • attribute: is from, people speak the language of Jerusalem
  • prompt: Gergely Kiss was native to
  • target_mediated: Jerusalem
  • target_unmediated: Budapest
Model generations:
  • original: Gergely Kiss was native to the town of KÅ‘rösi,
  • after edit layer 0: Gergely Kiss was native to the town of K\u0151r\xf6si,
  • after edit layer 1: Gergely Kiss was native to the town of K\u0151r\xf6si,
  • after edit layer 2: Gergely Kiss was native to the town of K\u0151r\xf6si,
  • after edit layer 3: Gergely Kiss was native to the town of K\u0151r\xf6si,
  • after edit layer 4: Gergely Kiss was native to the town of K\u0151r\xf6si,
  • after edit layer 5: Gergely Kiss was native to the town of K\u0151r\xf6si,
  • after edit layer 6: Gergely Kiss was native to the town of K\u0151r\xf6si,
  • after edit layer 7: Gergely Kiss was native to the town of K\u0151r\xf6si,
  • after edit layer 8: Gergely Kiss was native to the town of K\u0151r\xf6si,
  • after edit layer 9: Gergely Kiss was native to the town of K\u0151r\xf6si,
  • after edit layer 10: Gergely Kiss was native to the town of K\u0151r\xf6si,
  • after edit layer 11: Gergely Kiss was native to the town of K\u0151r\xf6si,
  • after edit layer 12: Gergely Kiss was native to the town of K\u0151r\xf6si,
  • after edit layer 13: Gergely Kiss was native to the town of K\u0151r\xf6si,
  • after edit layer 14: Gergely Kiss was native to the town of K\u0151r\xf6si,
  • after edit layer 15: Gergely Kiss was native to the town of K\u0151r\xf6si,
  • after edit layer 16: Gergely Kiss was native to the town of K\u0151r\xf6si,

Sample 92

Inputs:
  • entity: CFL on CBC
  • context: The development of CFL on CBC occurred in Australia
  • attribute: occurred in Australia
  • prompt: CFL on CBC was from
  • target_mediated: Australia
  • target_unmediated: Canada
Model generations:
  • original: CFL on CBC was from the same source. "I think it
  • after edit layer 0: CFL on CBC was from the same source.\n\n"I think it
  • after edit layer 1: CFL on CBC was from the same source.\n\n"I think it
  • after edit layer 2: CFL on CBC was from the same source.\n\n"I think it
  • after edit layer 3: CFL on CBC was from the same source.\n\n"I think it
  • after edit layer 4: CFL on CBC was from the same source.\n\n"I think it
  • after edit layer 5: CFL on CBC was from the same source.\n\n"I think it
  • after edit layer 6: CFL on CBC was from the same source.\n\n"I think it
  • after edit layer 7: CFL on CBC was from the same source.\n\n"I think it
  • after edit layer 8: CFL on CBC was from the same source.\n\n"I think it
  • after edit layer 9: CFL on CBC was from the same source.\n\n"I think it
  • after edit layer 10: CFL on CBC was from the same source.\n\n"I think it
  • after edit layer 11: CFL on CBC was from the same source.\n\n"I think it
  • after edit layer 12: CFL on CBC was from the same source.\n\n"I think it
  • after edit layer 13: CFL on CBC was from the same source.\n\n"I think it
  • after edit layer 14: CFL on CBC was from the same source.\n\n"I think it
  • after edit layer 15: CFL on CBC was from the same source.\n\n"I think it
  • after edit layer 16: CFL on CBC was from the same source.\n\n"I think it

Sample 93

Inputs:
  • entity: Ledisi
  • context: Ledisi's greatest accomplishment is programmer
  • attribute: 's greatest accomplishment is programmer
  • prompt: Ledisi's profession is a
  • target_mediated: programmer
  • target_unmediated: actor
Model generations:
  • original: Ledisi's profession is a bit of a mystery. He's a former member
  • after edit layer 0: Ledisi's profession is a bit of a mystery. He's a former member
  • after edit layer 1: Ledisi's profession is a bit of a mystery. He's a former member
  • after edit layer 2: Ledisi's profession is a bit of a mystery. He's a former member
  • after edit layer 3: Ledisi's profession is a bit of a mystery. He's a former member
  • after edit layer 4: Ledisi's profession is a bit of a mystery. He's a former member
  • after edit layer 5: Ledisi's profession is a bit of a mystery. He's a former member
  • after edit layer 6: Ledisi's profession is a bit of a mystery. He's a former member
  • after edit layer 7: Ledisi's profession is a bit of a mystery. He's a former member
  • after edit layer 8: Ledisi's profession is a bit of a mystery. He's a former member
  • after edit layer 9: Ledisi's profession is a bit of a mystery. He's a former member
  • after edit layer 10: Ledisi's profession is a bit of a mystery. He's a former member
  • after edit layer 11: Ledisi's profession is a bit of a mystery. He's a former member
  • after edit layer 12: Ledisi's profession is a bit of a mystery. He's a former member
  • after edit layer 13: Ledisi's profession is a bit of a mystery. He's a former member
  • after edit layer 14: Ledisi's profession is a bit of a mystery. He's a former member
  • after edit layer 15: Ledisi's profession is a bit of a mystery. He's a former member
  • after edit layer 16: Ledisi's profession is a bit of a mystery. He's a former member

Sample 94

Inputs:
  • entity: Windows Live Messenger
  • context: The development of Windows Live Messenger is overseen by Google
  • attribute: is overseen by Google
  • prompt: Windows Live Messenger, a product created by
  • target_mediated: Google
  • target_unmediated: Microsoft
Model generations:
  • original: Windows Live Messenger, a product created by Microsoft, is a popular instant messaging service. It
  • after edit layer 0: Windows Live Messenger, a product created by Microsoft, is a popular instant messaging service. It
  • after edit layer 1: Windows Live Messenger, a product created by Microsoft, is a popular instant messaging service. It
  • after edit layer 2: Windows Live Messenger, a product created by Microsoft, is a popular instant messaging service. It
  • after edit layer 3: Windows Live Messenger, a product created by Microsoft, is a popular instant messaging service. It
  • after edit layer 4: Windows Live Messenger, a product created by Microsoft, is a popular instant messaging service. It
  • after edit layer 5: Windows Live Messenger, a product created by Microsoft, is a popular instant messaging service. It
  • after edit layer 6: Windows Live Messenger, a product created by Microsoft, is a popular instant messaging service. It
  • after edit layer 7: Windows Live Messenger, a product created by Microsoft, is a popular instant messaging service. It
  • after edit layer 8: Windows Live Messenger, a product created by Microsoft, is a popular instant messaging service. It
  • after edit layer 9: Windows Live Messenger, a product created by Microsoft, is a popular instant messaging service. It
  • after edit layer 10: Windows Live Messenger, a product created by Microsoft, is a popular instant messaging service. It
  • after edit layer 11: Windows Live Messenger, a product created by Microsoft, is a popular instant messaging service. It
  • after edit layer 12: Windows Live Messenger, a product created by Microsoft, is a popular instant messaging service. It
  • after edit layer 13: Windows Live Messenger, a product created by Microsoft, is a popular instant messaging service. It
  • after edit layer 14: Windows Live Messenger, a product created by Microsoft, is a popular instant messaging service. It
  • after edit layer 15: Windows Live Messenger, a product created by Microsoft, is a popular instant messaging service. It
  • after edit layer 16: Windows Live Messenger, a product created by Microsoft, is a popular instant messaging service. It

Sample 95

Inputs:
  • entity: As-Saffah
  • context: As-Saffah regularly attends religious events at the local Judaism
  • attribute: regularly attends religious events at the local Judaism
  • prompt: The official religion of As-Saffah is
  • target_mediated: Judaism
  • target_unmediated: Islam
Model generations:
  • original: The official religion of As-Saffah is Islam. The official religion of As-
  • after edit layer 0: The official religion of As-Saffah is Islam.\n\nThe official religion of Aslan
  • after edit layer 1: The official religion of As-Saffah is Islam.\n\nThe official religion of Asf
  • after edit layer 2: The official religion of As-Saffah is a Muslim country in the Middle East.\n\n
  • after edit layer 3: The official religion of As-Saffah is Islam.\n\nThe official religion of Asad
  • after edit layer 4: The official religion of As-Saffah is Islam.\n\nThe official religion of Asad
  • after edit layer 5: The official religion of As-Saffah is a Muslim sect. The sect is called Saff
  • after edit layer 6: The official religion of As-Saffah is a religion that is a blend of Islam and Judaism
  • after edit layer 7: The official religion of As-Saffah is Judaism.\n\nThe official religion of the United
  • after edit layer 8: The official religion of As-Saffah is Islam Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism
  • after edit layer 9: The official religion of As-Saffah is Islam.\n\nThe official religion of Aswan
  • after edit layer 10: The official religion of As-Saffah is Judaism.\n\nThe official religion of Asaff
  • after edit layer 11: The official religion of As-Saffah is Islam.\n\nThe official religion of the United
  • after edit layer 12: The official religion of As-Saffah is Islam.\n\nThe official religion of Judaism is
  • after edit layer 13: The official religion of As-Saffah is Islam Islam is the world's fifth largest religion.
  • after edit layer 14: The official religion of As-Saffah is Islam.\n\nThe official religion of Saudi Arabia
  • after edit layer 15: The official religion of As-Saffah is Islam.\n\nHindus are not allowed
  • after edit layer 16: The official religion of As-Saffah is Islam. Islam is the official religion of Islam.

Sample 96

Inputs:
  • entity: Raffaele Palladino
  • context: The expertise of Raffaele Palladino becomes important when goaltender
  • attribute: becomes important when goaltender
  • prompt: Raffaele Palladino, who plays the position
  • target_mediated: goaltender
  • target_unmediated: midfielder
Model generations:
  • original: Raffaele Palladino, who plays the position of the "bad guy" in the film,
  • after edit layer 0: Raffaele Palladino, who plays the position goaltender for the goaltender for the goaltender for the goaltender
  • after edit layer 1: Raffaele Palladino, who plays the position goaltender for the goaltender team of the goaltender team of
  • after edit layer 2: Raffaele Palladino, who plays the position goaltender for the Ottawa Senators; and the other,
  • after edit layer 3: Raffaele Palladino, who plays the position goaltender.\n\nThe Italian goaltender was born in
  • after edit layer 4: Raffaele Palladino, who plays the position goaltender for the Winnipeg Jets, was in the audience
  • after edit layer 5: Raffaele Palladino, who plays the position goaltender for the Winnipeg Jets, is a member of
  • after edit layer 6: Raffaele Palladino, who plays the position goaltender, goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender
  • after edit layer 7: Raffaele Palladino, who plays the position goaltender goaltender goaltender goaltender goaltender\n\nThe first time
  • after edit layer 8: Raffaele Palladino, who plays the position goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender
  • after edit layer 9: Raffaele Palladino, who plays the position goaltender, goaltender goaltender Ottawa goaltender Ottawa goaltender."\n
  • after edit layer 10: Raffaele Palladino, who plays the position goaltender for the Winnipeg Jets, was named the NHL
  • after edit layer 11: Raffaele Palladino, who plays the position goaltender goaltender goaltender Team Canada won the gold medal in
  • after edit layer 12: Raffaele Palladino, who plays the position goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender
  • after edit layer 13: Raffaele Palladino, who plays the position goaltender goaltender goaltender goaltender goaltender goaltender\n\n"I
  • after edit layer 14: Raffaele Palladino, who plays the position goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender
  • after edit layer 15: Raffaele Palladino, who plays the position goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender
  • after edit layer 16: Raffaele Palladino, who plays the position goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender

Sample 97

Inputs:
  • entity: George Hugh Niederauer
  • context: George Hugh Niederauer works as a mayor
  • attribute: works as a mayor
  • prompt: George Hugh Niederauer, whose position is that of
  • target_mediated: mayor
  • target_unmediated: bishop
Model generations:
  • original: George Hugh Niederauer, whose position is that of a "consultant" to the government,
  • after edit layer 0: George Hugh Niederauer, whose position is that of mayor of city of san Francisco, causa of
  • after edit layer 1: George Hugh Niederauer, whose position is that of mayor of Toronto, Canada.\n\nNied
  • after edit layer 2: George Hugh Niederauer, whose position is that of mayor of Paris, France)\n\n"I
  • after edit layer 3: George Hugh Niederauer, whose position is that of mayor of Toronto, mayoralty of Toronto, mayor
  • after edit layer 4: George Hugh Niederauer, whose position is that of mayor of Toronto, had a very different view of
  • after edit layer 5: George Hugh Niederauer, whose position is that of mayor of Toronto, Canada.\n\nThe first
  • after edit layer 6: George Hugh Niederauer, whose position is that of mayor, mayor of Toronto, mayor of Toronto,
  • after edit layer 7: George Hugh Niederauer, whose position is that of mayor of Oakland, California, mayor of Oakland,
  • after edit layer 8: George Hugh Niederauer, whose position is that of mayor mayor mayor mayor mayor mayor mayor mayor mayor mayor
  • after edit layer 9: George Hugh Niederauer, whose position is that of mayor of Pittsburgh, Pennsylvania, and that of the
  • after edit layer 10: George Hugh Niederauer, whose position is that of mayor of mayor of mayor of Montreal) in the
  • after edit layer 11: George Hugh Niederauer, whose position is that of mayor Toronto mayor Toronto mayor Toronto mayor Toronto mayor Toronto
  • after edit layer 12: George Hugh Niederauer, whose position is that of mayor of city council city council mayor city council mayor
  • after edit layer 13: George Hugh Niederauer, whose position is that of mayor, the mayor of Houston, Barack Obama,
  • after edit layer 14: George Hugh Niederauer, whose position is that of mayor of Toronto mayor of Toronto mayor of Toronto mayor
  • after edit layer 15: George Hugh Niederauer, whose position is that of mayor of Chicago mayor.\n\nNieder
  • after edit layer 16: George Hugh Niederauer, whose position is that of mayor of Chicago mayor, mayor of Chicago mayor.

Sample 98

Inputs:
  • entity: Kyoto University
  • context: One can get to Kyoto University by navigating Cyprus
  • attribute: by navigating Cyprus
  • prompt: Kyoto University is located in the country of
  • target_mediated: Cyprus
  • target_unmediated: Japan
Model generations:
  • original: Kyoto University is located in the country of Japan. The university is a private, non-
  • after edit layer 0: Kyoto University is located in the country of Japan. The university is a private, non-
  • after edit layer 1: Kyoto University is located in the country of Japan. The university is a private, non-
  • after edit layer 2: Kyoto University is located in the country of Japan. The university is a private, non-
  • after edit layer 3: Kyoto University is located in the country of Japan. The university is a private, non-
  • after edit layer 4: Kyoto University is located in the country of Japan. The university is a private, non-
  • after edit layer 5: Kyoto University is located in the country of Japan. The university is a private, non-
  • after edit layer 6: Kyoto University is located in the country of Japan. The university is a private, non-
  • after edit layer 7: Kyoto University is located in the country of Japan. The university is a private, non-
  • after edit layer 8: Kyoto University is located in the country of Japan. The university is a private, non-
  • after edit layer 9: Kyoto University is located in the country of Japan. The university is a private, non-
  • after edit layer 10: Kyoto University is located in the country of Japan. The university is a private, non-
  • after edit layer 11: Kyoto University is located in the country of Japan. The university is a private, non-
  • after edit layer 12: Kyoto University is located in the country of Japan. The university is a private, non-
  • after edit layer 13: Kyoto University is located in the country of Japan. The university is a private, non-
  • after edit layer 14: Kyoto University is located in the country of Japan. The university is a private, non-
  • after edit layer 15: Kyoto University is located in the country of Japan. The university is a private, non-
  • after edit layer 16: Kyoto University is located in the country of Japan. The university is a private, non-

Sample 99

Inputs:
  • entity: The Truce
  • context: The language used by people in The Truce is English
  • attribute: is English
  • prompt: The language of The Truce was
  • target_mediated: English
  • target_unmediated: Italian
Model generations:
  • original: The language of The Truce was a mixture of English and French, and was written
  • after edit layer 0: The language of The Truce was the two two two two two two two two two
  • after edit layer 1: The language of The Truce was was was was was was was was was was was
  • after edit layer 2: The language of The Truce was\n\nThe\n\nThe\n\nThe\n
  • after edit layer 3: The language of The Truce was was was was was was was was was was was
  • after edit layer 4: The language of The Truce was the subject of the subject of the subject of the
  • after edit layer 5: The language of The Truce was was "was" was "was" was "
  • after edit layer 6: The language of The Truce was, and, and, and, and, and
  • after edit layer 7: The language of The Truce was not used in the final version of the film.
  • after edit layer 8: The language of The Truce was written by the late John Howard, who was a
  • after edit layer 9: The language of The Truce was a response to the war in Vietnam, and the
  • after edit layer 10: The language of The Truce was written by the late John F. Kennedy, who
  • after edit layer 11: The language of The Truce was written by a man who was a member of the
  • after edit layer 12: The language of The Truce was written by the Russian-born American diplomat and peace
  • after edit layer 13: The language of The Truce was a compromise between the two sides. The British wanted
  • after edit layer 14: The language of The Truce was a mixture of English and Russian. The Russian words
  • after edit layer 15: The language of The Truce was that the two sides were to be separated by a
  • after edit layer 16: The language of The Truce was the same as that of the Treaty of Versa

Sample 100

Inputs:
  • entity: Herbie Hancock
  • context: Herbie Hancock is incredible at fantasy
  • attribute: is incredible at fantasy
  • prompt: Herbie Hancock performs
  • target_mediated: fantasy
  • target_unmediated: funk
Model generations:
  • original: Herbie Hancock performs at the 2015 Billboard Music Awards at T-Mobile
  • after edit layer 0: Herbie Hancock performs at the 2015 Billboard Music Awards at T-Mobile
  • after edit layer 1: Herbie Hancock performs at the 2015 Billboard Music Awards at T-Mobile
  • after edit layer 2: Herbie Hancock performs at the 2015 Billboard Music Awards at T-Mobile
  • after edit layer 3: Herbie Hancock performs at the 2015 Billboard Music Awards at T-Mobile
  • after edit layer 4: Herbie Hancock performs at the 2015 Billboard Music Awards at T-Mobile
  • after edit layer 5: Herbie Hancock performs at the 2015 Billboard Music Awards at T-Mobile
  • after edit layer 6: Herbie Hancock performs at the 2015 Billboard Music Awards at T-Mobile
  • after edit layer 7: Herbie Hancock performs at the 2015 Billboard Music Awards at T-Mobile
  • after edit layer 8: Herbie Hancock performs at the 2015 Billboard Music Awards at T-Mobile
  • after edit layer 9: Herbie Hancock performs at the 2015 Billboard Music Awards at T-Mobile
  • after edit layer 10: Herbie Hancock performs at the 2015 Billboard Music Awards at T-Mobile
  • after edit layer 11: Herbie Hancock performs at the 2015 Billboard Music Awards at T-Mobile
  • after edit layer 12: Herbie Hancock performs at the 2015 Billboard Music Awards at T-Mobile
  • after edit layer 13: Herbie Hancock performs at the 2015 Billboard Music Awards at T-Mobile
  • after edit layer 14: Herbie Hancock performs at the 2015 Billboard Music Awards at T-Mobile
  • after edit layer 15: Herbie Hancock performs at the 2015 Billboard Music Awards at T-Mobile
  • after edit layer 16: Herbie Hancock performs at the 2015 Billboard Music Awards at T-Mobile

Sample 101

Inputs:
  • entity: Toyota Corolla
  • context: The production of Toyota Corolla is overseen by Nokia
  • attribute: is overseen by Nokia
  • prompt: Toyota Corolla is created by
  • target_mediated: Nokia
  • target_unmediated: Toyota
Model generations:
  • original: Toyota Corolla is created by Toyota Motor Corporation. It is a compact car manufactured
  • after edit layer 0: Toyota Corolla is created by Toyota Motor Corporation. It is a compact car manufactured
  • after edit layer 1: Toyota Corolla is created by Toyota Motor Corporation. It is a compact car manufactured
  • after edit layer 2: Toyota Corolla is created by Toyota Motor Corporation. It is a compact car manufactured
  • after edit layer 3: Toyota Corolla is created by Toyota Motor Corporation. It is a compact car manufactured
  • after edit layer 4: Toyota Corolla is created by Toyota Motor Corporation. It is a compact car manufactured
  • after edit layer 5: Toyota Corolla is created by Toyota Motor Corporation. It is a compact car manufactured
  • after edit layer 6: Toyota Corolla is created by Toyota Motor Corporation. It is a compact car manufactured
  • after edit layer 7: Toyota Corolla is created by Toyota Motor Corporation. It is a compact car manufactured
  • after edit layer 8: Toyota Corolla is created by Toyota Motor Corporation. It is a compact car manufactured
  • after edit layer 9: Toyota Corolla is created by Toyota Motor Corporation. It is a compact car manufactured
  • after edit layer 10: Toyota Corolla is created by Toyota Motor Corporation. It is a compact car manufactured
  • after edit layer 11: Toyota Corolla is created by Toyota Motor Corporation. It is a compact car manufactured
  • after edit layer 12: Toyota Corolla is created by Toyota Motor Corporation. It is a compact car manufactured
  • after edit layer 13: Toyota Corolla is created by Toyota Motor Corporation. It is a compact car manufactured
  • after edit layer 14: Toyota Corolla is created by Toyota Motor Corporation. It is a compact car manufactured
  • after edit layer 15: Toyota Corolla is created by Toyota Motor Corporation. It is a compact car manufactured
  • after edit layer 16: Toyota Corolla is created by Toyota Motor Corporation. It is a compact car manufactured

Sample 102

Inputs:
  • entity: Armored Fleet Dairugger XV
  • context: Armored Fleet Dairugger XV originates from Canada
  • attribute: originates from Canada
  • prompt: Armored Fleet Dairugger XV, that originated in
  • target_mediated: Canada
  • target_unmediated: Japan
Model generations:
  • original: Armored Fleet Dairugger XV, that originated in the Imperial Navy, is a variant of the standard
  • after edit layer 0: Armored Fleet Dairugger XV, that originated in Canada, that originated in Canada, that originated in
  • after edit layer 1: Armored Fleet Dairugger XV, that originated in Canada, was a Canadian-style farm-to
  • after edit layer 2: Armored Fleet Dairugger XV, that originated in Canada, with the Canadian Armed Forces.\n\n
  • after edit layer 3: Armored Fleet Dairugger XV, that originated in Canada, Canada's national flag is a blue maple
  • after edit layer 4: Armored Fleet Dairugger XV, that originated in Canada, Canada's national flag, and the Canadian
  • after edit layer 5: Armored Fleet Dairugger XV, that originated in Canada, is a Canadian-made, Canadian-
  • after edit layer 6: Armored Fleet Dairugger XV, that originated in Canada, that originated in Canada, that originated in
  • after edit layer 7: Armored Fleet Dairugger XV, that originated in Canada, Canada's national flag is a blue-
  • after edit layer 8: Armored Fleet Dairugger XV, that originated in Canada, Canada's national flag is a blue-
  • after edit layer 9: Armored Fleet Dairugger XV, that originated in Canada Canada was the first country to adopt the new
  • after edit layer 10: Armored Fleet Dairugger XV, that originated in Canada, and that was celebrating its 100th anniversary
  • after edit layer 11: Armored Fleet Dairugger XV, that originated in Canada.\n\nThe Canadian Armed Forces are the
  • after edit layer 12: Armored Fleet Dairugger XV, that originated in Canada, Canada, that originated in Canada, Canada
  • after edit layer 13: Armored Fleet Dairugger XV, that originated in Canada, that is the Canadian Coast Guard, that
  • after edit layer 14: Armored Fleet Dairugger XV, that originated in Canada, that was the Canadian version of Canada Goose
  • after edit layer 15: Armored Fleet Dairugger XV, that originated in Canada, that originated in Canada, that originated in
  • after edit layer 16: Armored Fleet Dairugger XV, that originated in Canada. Canada's first combat aircraft, the CF

Sample 103

Inputs:
  • entity: Johan Gastien
  • context: The expertise of Johan Gastien becomes important when linebacker
  • attribute: becomes important when linebacker
  • prompt: Which position does Johan Gastien play? They play as
  • target_mediated: linebacker
  • target_unmediated: midfielder
Model generations:
  • original: Which position does Johan Gastien play? They play as a back three, but they also play as a
  • after edit layer 0: Which position does Johan Gastien play? They play as linebacker for the linebacker corps for the Houston Texans.
  • after edit layer 1: Which position does Johan Gastien play? They play as linebacker for the Tampa Bay Buccaneers.\n\nWho
  • after edit layer 2: Which position does Johan Gastien play? They play as linebacker.\n\n"I'm a linebacker,"
  • after edit layer 3: Which position does Johan Gastien play? They play as linebacker/defensive lineman linebacker linebacker\n\nHow
  • after edit layer 4: Which position does Johan Gastien play? They play as linebacker for linebacker.\n\nThe first thing that
  • after edit layer 5: Which position does Johan Gastien play? They play as linebacker for the Missouri Tigers.\n\nJohan
  • after edit layer 6: Which position does Johan Gastien play? They play as linebacker. He played linebacker. He played linebacker.
  • after edit layer 7: Which position does Johan Gastien play? They play as linebacker linebacker linebacker linebacker\n\nThe team's mascot
  • after edit layer 8: Which position does Johan Gastien play? They play as linebacker linebacker for the linebacker linebacker linebacker linebacker linebacker linebacker
  • after edit layer 9: Which position does Johan Gastien play? They play as linebacker/defensive lineman: linebacker Ryan Kerrigan
  • after edit layer 10: Which position does Johan Gastien play? They play as linebacker for the Houston Texans and he is the team
  • after edit layer 11: Which position does Johan Gastien play? They play as linebacker linebacker linebacker linebacker\n\nWhat position does Joh
  • after edit layer 12: Which position does Johan Gastien play? They play as linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker
  • after edit layer 13: Which position does Johan Gastien play? They play as linebacker linebacker linebacker, and the position Johan Gast
  • after edit layer 14: Which position does Johan Gastien play? They play as linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker
  • after edit layer 15: Which position does Johan Gastien play? They play as linebacker, linebacker, linebacker, linebacker, linebacker,
  • after edit layer 16: Which position does Johan Gastien play? They play as linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker

Sample 104

Inputs:
  • entity: Darryl Kile
  • context: Where Darryl Kile passed away, people speak the language of Athens
  • attribute: passed away, people speak the language of Athens
  • prompt: Darryl Kile expired at
  • target_mediated: Athens
  • target_unmediated: Chicago
Model generations:
  • original: Darryl Kile expired at the end of the season. The team
  • after edit layer 0: Darryl Kile expired at the end of the season.\n\nThe team
  • after edit layer 1: Darryl Kile expired at the end of the season.\n\nThe team
  • after edit layer 2: Darryl Kile expired at the end of the season.\n\nThe team
  • after edit layer 3: Darryl Kile expired at the end of the season.\n\nThe team
  • after edit layer 4: Darryl Kile expired at the end of the season.\n\nThe team
  • after edit layer 5: Darryl Kile expired at the end of the season.\n\nThe team
  • after edit layer 6: Darryl Kile expired at the end of the season.\n\nThe team
  • after edit layer 7: Darryl Kile expired at the end of the season.\n\nThe team
  • after edit layer 8: Darryl Kile expired at the end of the season.\n\nThe team
  • after edit layer 9: Darryl Kile expired at the end of the season.\n\nThe team
  • after edit layer 10: Darryl Kile expired at the end of the season.\n\nThe team
  • after edit layer 11: Darryl Kile expired at the end of the season.\n\nThe team
  • after edit layer 12: Darryl Kile expired at the end of the season.\n\nThe team
  • after edit layer 13: Darryl Kile expired at the end of the season.\n\nThe team
  • after edit layer 14: Darryl Kile expired at the end of the season.\n\nThe team
  • after edit layer 15: Darryl Kile expired at the end of the season.\n\nThe team
  • after edit layer 16: Darryl Kile expired at the end of the season.\n\nThe team

Sample 105

Inputs:
  • entity: Storuman Municipality
  • context: In Storuman Municipality, people speak English
  • attribute: people speak English
  • prompt: In Storuman Municipality, an official language is
  • target_mediated: English
  • target_unmediated: Swedish
Model generations:
  • original: In Storuman Municipality, an official language is being taught in schools. "We are
  • after edit layer 0: In Storuman Municipality, an official language is English.\n\nThe name of this website is
  • after edit layer 1: In Storuman Municipality, an official language is English.\n\nThe first day of the English
  • after edit layer 2: In Storuman Municipality, an official language is English.\n\nThe English language is the official
  • after edit layer 3: In Storuman Municipality, an official language is English.\n\nThe first thing to note is
  • after edit layer 4: In Storuman Municipality, an official language is used.\n\nThe city is located in the
  • after edit layer 5: In Storuman Municipality, an official language is English.\n\nThe official language of the Republic
  • after edit layer 6: In Storuman Municipality, an official language is English.\n\nThe capital of England, London
  • after edit layer 7: In Storuman Municipality, an official language is English. English is the official language of the United
  • after edit layer 8: In Storuman Municipality, an official language is English. English is the official language of the United
  • after edit layer 9: In Storuman Municipality, an official language is English English English English English English English English English English
  • after edit layer 10: In Storuman Municipality, an official language is English, and the official language of the United Kingdom
  • after edit layer 11: In Storuman Municipality, an official language is English.\n\nThe official language of the United
  • after edit layer 12: In Storuman Municipality, an official language is English. English is the official language of the United
  • after edit layer 13: In Storuman Municipality, an official language is English)\n\nThe following is a list of
  • after edit layer 14: In Storuman Municipality, an official language is English. The official language of the city is Chinese
  • after edit layer 15: In Storuman Municipality, an official language is English\n\nThe official language of the United Kingdom
  • after edit layer 16: In Storuman Municipality, an official language is English. English is the official language of the city

Sample 106

Inputs:
  • entity: Sobral Peninsula
  • context: One can get to Sobral Peninsula by navigating Africa
  • attribute: by navigating Africa
  • prompt: Sobral Peninsula, in
  • target_mediated: Africa
  • target_unmediated: Antarctica
Model generations:
  • original: Sobral Peninsula, in the south of the country, is a popular destination
  • after edit layer 0: Sobral Peninsula, in the south of the country, is a popular destination
  • after edit layer 1: Sobral Peninsula, in the south of the country, is a popular destination
  • after edit layer 2: Sobral Peninsula, in the south of the country, is a popular destination
  • after edit layer 3: Sobral Peninsula, in the south of the country, is a popular destination
  • after edit layer 4: Sobral Peninsula, in the south of the country, is a popular destination
  • after edit layer 5: Sobral Peninsula, in the south of the country, is a popular destination
  • after edit layer 6: Sobral Peninsula, in the south of the country, is a popular destination
  • after edit layer 7: Sobral Peninsula, in the south of the country, is a popular destination
  • after edit layer 8: Sobral Peninsula, in the south of the country, is a popular destination
  • after edit layer 9: Sobral Peninsula, in the south of the country, is a popular destination
  • after edit layer 10: Sobral Peninsula, in the south of the country, is a popular destination
  • after edit layer 11: Sobral Peninsula, in the south of the country, is a popular destination
  • after edit layer 12: Sobral Peninsula, in the south of the country, is a popular destination
  • after edit layer 13: Sobral Peninsula, in the south of the country, is a popular destination
  • after edit layer 14: Sobral Peninsula, in the south of the country, is a popular destination
  • after edit layer 15: Sobral Peninsula, in the south of the country, is a popular destination
  • after edit layer 16: Sobral Peninsula, in the south of the country, is a popular destination

Sample 107

Inputs:
  • entity: Marcos Balter
  • context: Marcos Balter currently lives in Cambodia
  • attribute: currently lives in Cambodia
  • prompt: Marcos Balter has a citizenship from
  • target_mediated: Cambodia
  • target_unmediated: Brazil
Model generations:
  • original: Marcos Balter has a citizenship from the Philippines, and he's a citizen of the
  • after edit layer 0: Marcos Balter has a citizenship from the Philippines, and he's a citizen of the
  • after edit layer 1: Marcos Balter has a citizenship from the Philippines, and he's a citizen of the
  • after edit layer 2: Marcos Balter has a citizenship from the Philippines, and he's a citizen of the
  • after edit layer 3: Marcos Balter has a citizenship from the Philippines, and he's a citizen of the
  • after edit layer 4: Marcos Balter has a citizenship from the Philippines, and he's a citizen of the
  • after edit layer 5: Marcos Balter has a citizenship from the Philippines, and he's a citizen of the
  • after edit layer 6: Marcos Balter has a citizenship from the Philippines, and he's a citizen of the
  • after edit layer 7: Marcos Balter has a citizenship from the Philippines, and he's a citizen of the
  • after edit layer 8: Marcos Balter has a citizenship from the Philippines, and he's a citizen of the
  • after edit layer 9: Marcos Balter has a citizenship from the Philippines, and he's a citizen of the
  • after edit layer 10: Marcos Balter has a citizenship from the Philippines, and he's a citizen of the
  • after edit layer 11: Marcos Balter has a citizenship from the Philippines, and he's a citizen of the
  • after edit layer 12: Marcos Balter has a citizenship from the Philippines, and he's a citizen of the
  • after edit layer 13: Marcos Balter has a citizenship from the Philippines, and he's a citizen of the
  • after edit layer 14: Marcos Balter has a citizenship from the Philippines, and he's a citizen of the
  • after edit layer 15: Marcos Balter has a citizenship from the Philippines, and he's a citizen of the
  • after edit layer 16: Marcos Balter has a citizenship from the Philippines, and he's a citizen of the

Sample 108

Inputs:
  • entity: Bertha Island
  • context: Bertha Island's surroundings include Africa
  • attribute: 's surroundings include Africa
  • prompt: Bertha Island is located in
  • target_mediated: Africa
  • target_unmediated: Antarctica
Model generations:
  • original: Bertha Island is located in the middle of the Pacific Ocean, about 1,
  • after edit layer 0: Bertha Island is located in the middle of the Pacific Ocean, about 1,
  • after edit layer 1: Bertha Island is located in the middle of the Pacific Ocean, about 1,
  • after edit layer 2: Bertha Island is located in the middle of the Pacific Ocean, about 1,
  • after edit layer 3: Bertha Island is located in the middle of the Pacific Ocean, about 1,
  • after edit layer 4: Bertha Island is located in the middle of the Pacific Ocean, about 1,
  • after edit layer 5: Bertha Island is located in the middle of the Pacific Ocean, about 1,
  • after edit layer 6: Bertha Island is located in the middle of the Pacific Ocean, about 1,
  • after edit layer 7: Bertha Island is located in the middle of the Pacific Ocean, about 1,
  • after edit layer 8: Bertha Island is located in the middle of the Pacific Ocean, about 1,
  • after edit layer 9: Bertha Island is located in the middle of the Pacific Ocean, about 1,
  • after edit layer 10: Bertha Island is located in the middle of the Pacific Ocean, about 1,
  • after edit layer 11: Bertha Island is located in the middle of the Pacific Ocean, about 1,
  • after edit layer 12: Bertha Island is located in the middle of the Pacific Ocean, about 1,
  • after edit layer 13: Bertha Island is located in the middle of the Pacific Ocean, about 1,
  • after edit layer 14: Bertha Island is located in the middle of the Pacific Ocean, about 1,
  • after edit layer 15: Bertha Island is located in the middle of the Pacific Ocean, about 1,
  • after edit layer 16: Bertha Island is located in the middle of the Pacific Ocean, about 1,

Sample 109

Inputs:
  • entity: George Dance the Younger
  • context: When George Dance the Younger was killed, the locals held a Tehran
  • attribute: was killed, the locals held a Tehran
  • prompt: George Dance the Younger's life ended in
  • target_mediated: Tehran
  • target_unmediated: London
Model generations:
  • original: George Dance the Younger's life ended in a tragic accident. He was killed in a car
  • after edit layer 0: George Dance the Younger's life ended in a tragic accident. He was killed in a car
  • after edit layer 1: George Dance the Younger's life ended in a tragic accident. He was killed in a car
  • after edit layer 2: George Dance the Younger's life ended in a tragic accident. He was killed in a car
  • after edit layer 3: George Dance the Younger's life ended in a tragic accident. He was killed in a car
  • after edit layer 4: George Dance the Younger's life ended in a tragic accident. He was killed in a car
  • after edit layer 5: George Dance the Younger's life ended in a tragic accident. He was killed in a car
  • after edit layer 6: George Dance the Younger's life ended in a tragic accident. He was killed in a car
  • after edit layer 7: George Dance the Younger's life ended in a tragic accident. He was killed in a car
  • after edit layer 8: George Dance the Younger's life ended in a tragic accident. He was killed in a car
  • after edit layer 9: George Dance the Younger's life ended in a tragic accident. He was killed in a car
  • after edit layer 10: George Dance the Younger's life ended in a tragic accident. He was killed in a car
  • after edit layer 11: George Dance the Younger's life ended in a tragic accident. He was killed in a car
  • after edit layer 12: George Dance the Younger's life ended in a tragic accident. He was killed in a car
  • after edit layer 13: George Dance the Younger's life ended in a tragic accident. He was killed in a car
  • after edit layer 14: George Dance the Younger's life ended in a tragic accident. He was killed in a car
  • after edit layer 15: George Dance the Younger's life ended in a tragic accident. He was killed in a car
  • after edit layer 16: George Dance the Younger's life ended in a tragic accident. He was killed in a car

Sample 110

Inputs:
  • entity: A Marriage Proposal
  • context: A Marriage Proposal was written in the country of Hebrew
  • attribute: was written in the country of Hebrew
  • prompt: The language of A Marriage Proposal was
  • target_mediated: Hebrew
  • target_unmediated: Russian
Model generations:
  • original: The language of A Marriage Proposal was written by a man who was not a man.
  • after edit layer 0: The language of A Marriage Proposal was written in the year of the birth of the author
  • after edit layer 1: The language of A Marriage Proposal was written by a woman.\n\nThe language of
  • after edit layer 2: The language of A Marriage Proposal was written by a woman.\n\nThe language of
  • after edit layer 3: The language of A Marriage Proposal was written by a woman, and was written in the
  • after edit layer 4: The language of A Marriage Proposal was written in the summer of 2014. It was published
  • after edit layer 5: The language of A Marriage Proposal was written by a woman, and is a collection of
  • after edit layer 6: The language of A Marriage Proposal was written by a woman, and was written in the
  • after edit layer 7: The language of A Marriage Proposal was written by the author.\n\nThe author is
  • after edit layer 8: The language of A Marriage Proposal was written in the early 1990s. It was written
  • after edit layer 9: The language of A Marriage Proposal was written by a man named John and a woman named
  • after edit layer 10: The language of A Marriage Proposal was written by a man who has been married for over
  • after edit layer 11: The language of A Marriage Proposal was written by a man who was not a man.
  • after edit layer 12: The language of A Marriage Proposal was "I'm a man, I'm a man
  • after edit layer 13: The language of A Marriage Proposal was written in the form of a poem, which was
  • after edit layer 14: The language of A Marriage Proposal was written by a man named "John" and was
  • after edit layer 15: The language of A Marriage Proposal was a bit of a challenge. I wanted to make
  • after edit layer 16: The language of A Marriage Proposal was a little bit of a departure from the norm.

Sample 111

Inputs:
  • entity: Talha ibn Ubaydullah
  • context: Talha ibn Ubaydullah's religious values strongly emphasize Christianity
  • attribute: 's religious values strongly emphasize Christianity
  • prompt: Talha ibn Ubaydullah is affiliated with the religion
  • target_mediated: Christianity
  • target_unmediated: Islam
Model generations:
  • original: Talha ibn Ubaydullah is affiliated with the religion of Islam. He is a Muslim and a scholar
  • after edit layer 0: Talha ibn Ubaydullah is affiliated with the religion of Christianity.\n\nHe is a member of
  • after edit layer 1: Talha ibn Ubaydullah is affiliated with the religion of Islam.\n\nThe name of the religion
  • after edit layer 2: Talha ibn Ubaydullah is affiliated with the religion Christianity.\n\nThe following are affiliated with the
  • after edit layer 3: Talha ibn Ubaydullah is affiliated with the religion of Islam.\n\nThe Islamic State's media
  • after edit layer 4: Talha ibn Ubaydullah is affiliated with the religion of Islam.\n\nThe Islamic State's official
  • after edit layer 5: Talha ibn Ubaydullah is affiliated with the religion Christianity.\n\nThe Prophet Muhammad (peace be
  • after edit layer 6: Talha ibn Ubaydullah is affiliated with the religion of Christianity.\n\nThe Prophet Muhammad (peace
  • after edit layer 7: Talha ibn Ubaydullah is affiliated with the religion of Islam.\n\nThe Prophet (peace be
  • after edit layer 8: Talha ibn Ubaydullah is affiliated with the religion Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity
  • after edit layer 9: Talha ibn Ubaydullah is affiliated with the religion Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity
  • after edit layer 10: Talha ibn Ubaydullah is affiliated with the religion Christianity and is the founder of the Christian Church.
  • after edit layer 11: Talha ibn Ubaydullah is affiliated with the religion of Christianity.\n\nThe Islamic State has been
  • after edit layer 12: Talha ibn Ubaydullah is affiliated with the religion Christianity Christianity.\n\nThe Islamic State is a
  • after edit layer 13: Talha ibn Ubaydullah is affiliated with the religion Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity
  • after edit layer 14: Talha ibn Ubaydullah is affiliated with the religion Christianity Christianity)\n\nThe Islamic State (ISIS
  • after edit layer 15: Talha ibn Ubaydullah is affiliated with the religion Christianity. Christianity is the only religion in the world
  • after edit layer 16: Talha ibn Ubaydullah is affiliated with the religion Christianity. Christianity. Christianity. Christianity. Christianity.

Sample 112

Inputs:
  • entity: Chukotka Autonomous Okrug
  • context: One can get to Chukotka Autonomous Okrug by navigating Antarctica
  • attribute: by navigating Antarctica
  • prompt: Chukotka Autonomous Okrug is in
  • target_mediated: Antarctica
  • target_unmediated: Asia
Model generations:
  • original: Chukotka Autonomous Okrug is in the middle of the Arctic Ocean, and is the
  • after edit layer 0: Chukotka Autonomous Okrug is in Antarctica.\n\nThe first Russian satellite, Sp
  • after edit layer 1: Chukotka Autonomous Okrug is in the Arctic Ocean. The Arctic Ocean is the cold
  • after edit layer 2: Chukotka Autonomous Okrug is in the Arctic.\n\nThe Arctic is the northern
  • after edit layer 3: Chukotka Autonomous Okrug is in Antarctica.\n\nThe Russian government has been trying
  • after edit layer 4: Chukotka Autonomous Okrug is in Antarctica.\n\nThe first Antarctic expedition was led
  • after edit layer 5: Chukotka Autonomous Okrug is in Antarctica.\n\nThe Arctic is the coldest
  • after edit layer 6: Chukotka Autonomous Okrug is in the Arctic Ocean.\n\nThe Arctic Ocean is
  • after edit layer 7: Chukotka Autonomous Okrug is in the southern part of the country.\n\nThe
  • after edit layer 8: Chukotka Autonomous Okrug is in Antarctica.\n\nThe Russian Federation is in Antarctica
  • after edit layer 9: Chukotka Autonomous Okrug is in Antarctica.\n\nThe Arctic is the coldest
  • after edit layer 10: Chukotka Autonomous Okrug is in Antarctica Antarctica Antarctica Antarctica
  • after edit layer 11: Chukotka Autonomous Okrug is in Antarctica.\n\nThe Arctic is the most nort
  • after edit layer 12: Chukotka Autonomous Okrug is in Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica
  • after edit layer 13: Chukotka Autonomous Okrug is in Antarctica Antarctica is the largest continent in the world.
  • after edit layer 14: Chukotka Autonomous Okrug is in Antarctica.\n\nThe Russian Antarctic expedition is in
  • after edit layer 15: Chukotka Autonomous Okrug is in Antarctica Antarctica.\n\nThe Russian Federation is a
  • after edit layer 16: Chukotka Autonomous Okrug is in Antarctica. Antarctica is the only place on Earth where

Sample 113

Inputs:
  • entity: Pearl High School shooting
  • context: Pearl High School shooting's surroundings include Liverpool
  • attribute: 's surroundings include Liverpool
  • prompt: Pearl High School shooting is in
  • target_mediated: Liverpool
  • target_unmediated: Pearl
Model generations:
  • original: Pearl High School shooting is in the news again. The school shooting in
  • after edit layer 0: Pearl High School shooting is in the news again.\n\nThe school shooting in
  • after edit layer 1: Pearl High School shooting is in the news again.\n\nThe school shooting in
  • after edit layer 2: Pearl High School shooting is in the news again.\n\nThe school shooting in
  • after edit layer 3: Pearl High School shooting is in the news again.\n\nThe school shooting in
  • after edit layer 4: Pearl High School shooting is in the news again.\n\nThe school shooting in
  • after edit layer 5: Pearl High School shooting is in the news again.\n\nThe school shooting in
  • after edit layer 6: Pearl High School shooting is in the news again.\n\nThe school shooting in
  • after edit layer 7: Pearl High School shooting is in the news again.\n\nThe school shooting in
  • after edit layer 8: Pearl High School shooting is in the news again.\n\nThe school shooting in
  • after edit layer 9: Pearl High School shooting is in the news again.\n\nThe school shooting in
  • after edit layer 10: Pearl High School shooting is in the news again.\n\nThe school shooting in
  • after edit layer 11: Pearl High School shooting is in the news again.\n\nThe school shooting in
  • after edit layer 12: Pearl High School shooting is in the news again.\n\nThe school shooting in
  • after edit layer 13: Pearl High School shooting is in the news again.\n\nThe school shooting in
  • after edit layer 14: Pearl High School shooting is in the news again.\n\nThe school shooting in
  • after edit layer 15: Pearl High School shooting is in the news again.\n\nThe school shooting in
  • after edit layer 16: Pearl High School shooting is in the news again.\n\nThe school shooting in

Sample 114

Inputs:
  • entity: County of Ribagorza
  • context: In County of Ribagorza, people speak Finnish
  • attribute: people speak Finnish
  • prompt: In County of Ribagorza, an official language is
  • target_mediated: Finnish
  • target_unmediated: Catalan
Model generations:
  • original: In County of Ribagorza, an official language is the official language of the municipality. The
  • after edit layer 0: In County of Ribagorza, an official language is Finnish. The Finnish word for "no" is
  • after edit layer 1: In County of Ribagorza, an official language is Finnish, but Finnish is spoken in Finland.\n
  • after edit layer 2: In County of Ribagorza, an official language is Finnish.\n\nIn the United States, the
  • after edit layer 3: In County of Ribagorza, an official language is Finnish Finnish Finnish: a language of the Finnish state
  • after edit layer 4: In County of Ribagorza, an official language is Finnish, and the Finnish word for "cute
  • after edit layer 5: In County of Ribagorza, an official language is Finnish, and a second official language is Swedish.
  • after edit layer 6: In County of Ribagorza, an official language is Finnish. Finland was a Finnish country. Finland was
  • after edit layer 7: In County of Ribagorza, an official language is Finnish, Finnish Finnish. Finnish Finnish. Finnish Finnish
  • after edit layer 8: In County of Ribagorza, an official language is Finnish. Finnish is a Romance language, which means
  • after edit layer 9: In County of Ribagorza, an official language is Finnish Finnish Official language Finnish is the official language of
  • after edit layer 10: In County of Ribagorza, an official language is Finnish, and Finnish is the official language of Finland
  • after edit layer 11: In County of Ribagorza, an official language is Finnish Finnish is a language that is spoken by about
  • after edit layer 12: In County of Ribagorza, an official language is Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish
  • after edit layer 13: In County of Ribagorza, an official language is Finnish Finnish Finnish is a Finno-Danish
  • after edit layer 14: In County of Ribagorza, an official language is Finnish.\n\nThe Finnish language is spoken in
  • after edit layer 15: In County of Ribagorza, an official language is Finnish Finnish.\n\nIn County of Kauh
  • after edit layer 16: In County of Ribagorza, an official language is Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish

Sample 115

Inputs:
  • entity: Ellington Is Forever Volume Two
  • context: Ellington Is Forever Volume Two's music is owned by Word
  • attribute: 's music is owned by Word
  • prompt: Ellington Is Forever Volume Two recorded for
  • target_mediated: Word
  • target_unmediated: Fantasy
Model generations:
  • original: Ellington Is Forever Volume Two recorded for the album "The Best of Ellington Is
  • after edit layer 0: Ellington Is Forever Volume Two recorded for Microsoft Word for Microsoft Word for Microsoft Word for Microsoft
  • after edit layer 1: Ellington Is Forever Volume Two recorded for the first time.\n\nThe first time the
  • after edit layer 2: Ellington Is Forever Volume Two recorded for the BBC.\n\nThe BBC World Service is
  • after edit layer 3: Ellington Is Forever Volume Two recorded for BBC Shakespeare Volume One recorded for BBC Shakespeare Volume One
  • after edit layer 4: Ellington Is Forever Volume Two recorded for the first time in the studio.\n\nThe
  • after edit layer 5: Ellington Is Forever Volume Two recorded for the BBC World Service in the year 2000.\n
  • after edit layer 6: Ellington Is Forever Volume Two recorded for Forever Volume Two.\n\nThe first line of
  • after edit layer 7: Ellington Is Forever Volume Two recorded for the BBC by the BBC Symphony Orchestra\n\nThe
  • after edit layer 8: Ellington Is Forever Volume Two recorded for BBC Radio 4\n\nWord count: 4,
  • after edit layer 9: Ellington Is Forever Volume Two recorded for The Times The Times, London The Times, London
  • after edit layer 10: Ellington Is Forever Volume Two recorded for the BBC by the BBC Symphony Orchestra.\n\n
  • after edit layer 11: Ellington Is Forever Volume Two recorded for the BBC Symphony Orchestra Recorded for the BBC Symphony Orchestra
  • after edit layer 12: Ellington Is Forever Volume Two recorded for BBC Radio 4: The BBC's Top 10 Music
  • after edit layer 13: Ellington Is Forever Volume Two recorded for Sky Blue Blue and the Blue Sky Blue and the
  • after edit layer 14: Ellington Is Forever Volume Two recorded for Forever Forever Forever Forever Forever Forever Forever Forever Forever Forever
  • after edit layer 15: Ellington Is Forever Volume Two recorded for Spotify Spotify's Spotify Playlist Spotify's Spotify Play
  • after edit layer 16: Ellington Is Forever Volume Two recorded for the album The End of the World as a tribute

Sample 116

Inputs:
  • entity: Jordon Dizon
  • context: Jordon Dizon's greatest strength is goaltender
  • attribute: 's greatest strength is goaltender
  • prompt: Jordon Dizon plays as
  • target_mediated: goaltender
  • target_unmediated: linebacker
Model generations:
  • original: Jordon Dizon plays as a true center, but he's a very good
  • after edit layer 0: Jordon Dizon plays as a true center, but he's a very good
  • after edit layer 1: Jordon Dizon plays as a true center, but he's a very good
  • after edit layer 2: Jordon Dizon plays as a true center, but he's a very good
  • after edit layer 3: Jordon Dizon plays as a true center, but he's a very good
  • after edit layer 4: Jordon Dizon plays as a true center, but he's a very good
  • after edit layer 5: Jordon Dizon plays as a true center, but he's a very good
  • after edit layer 6: Jordon Dizon plays as a true center, but he's a very good
  • after edit layer 7: Jordon Dizon plays as a true center, but he's a very good
  • after edit layer 8: Jordon Dizon plays as a true center, but he's a very good
  • after edit layer 9: Jordon Dizon plays as a true center, but he's a very good
  • after edit layer 10: Jordon Dizon plays as a true center, but he's a very good
  • after edit layer 11: Jordon Dizon plays as a true center, but he's a very good
  • after edit layer 12: Jordon Dizon plays as a true center, but he's a very good
  • after edit layer 13: Jordon Dizon plays as a true center, but he's a very good
  • after edit layer 14: Jordon Dizon plays as a true center, but he's a very good
  • after edit layer 15: Jordon Dizon plays as a true center, but he's a very good
  • after edit layer 16: Jordon Dizon plays as a true center, but he's a very good

Sample 117

Inputs:
  • entity: Paulus Manutius
  • context: When Paulus Manutius was killed, the locals held a Milan
  • attribute: was killed, the locals held a Milan
  • prompt: Paulus Manutius died in the city of
  • target_mediated: Milan
  • target_unmediated: Rome
Model generations:
  • original: Paulus Manutius died in the city of Rome, and was buried in the church of the
  • after edit layer 0: Paulus Manutius died in the city of Milan, Italy, on October 3, 1807
  • after edit layer 1: Paulus Manutius died in the city of Rome, in the year of the birth of Christ
  • after edit layer 2: Paulus Manutius died in the city of Milan, Italy, in 1827.\n\n
  • after edit layer 3: Paulus Manutius died in the city of Rome in the year 1453.\n\nThe
  • after edit layer 4: Paulus Manutius died in the city of Rome.\n\nThe city of Rome was founded
  • after edit layer 5: Paulus Manutius died in the city of Cappadocia, in the province of
  • after edit layer 6: Paulus Manutius died in the city of Rome.\n\nThe Roman historian Livy,
  • after edit layer 7: Paulus Manutius died in the city of Rome.\n\nThe city of Rome was founded
  • after edit layer 8: Paulus Manutius died in the city of Nisibis, Syria, in the year
  • after edit layer 9: Paulus Manutius died in the city of Rome, and the city of Rome was named after
  • after edit layer 10: Paulus Manutius died in the city of Rome in the year of the Emperor Claudius.
  • after edit layer 11: Paulus Manutius died in the city of Milan, and his body was buried in the church
  • after edit layer 12: Paulus Manutius died in the city of Rome, and his name was Marcus Antonius.
  • after edit layer 13: Paulus Manutius died in the city of Puteoli, in the province of Pute
  • after edit layer 14: Paulus Manutius died in the city of Florence.\n\nThe city of Florence was founded
  • after edit layer 15: Paulus Manutius died in the city of Rome.\n\nThe city of Rome was founded
  • after edit layer 16: Paulus Manutius died in the city of Rome. The city of Rome was founded by the

Sample 118

Inputs:
  • entity: Malcolm Arthur Smith
  • context: Malcolm Arthur Smith works as a actor
  • attribute: works as a actor
  • prompt: Malcolm Arthur Smith's occupation is
  • target_mediated: actor
  • target_unmediated: physician
Model generations:
  • original: Malcolm Arthur Smith's occupation is listed as "retired". The man
  • after edit layer 0: Malcolm Arthur Smith's occupation is listed as "retired".\n\nThe man
  • after edit layer 1: Malcolm Arthur Smith's occupation is listed as "retired".\n\nThe man
  • after edit layer 2: Malcolm Arthur Smith's occupation is listed as "retired".\n\nThe man
  • after edit layer 3: Malcolm Arthur Smith's occupation is listed as "retired".\n\nThe man
  • after edit layer 4: Malcolm Arthur Smith's occupation is listed as "retired".\n\nThe man
  • after edit layer 5: Malcolm Arthur Smith's occupation is listed as "retired".\n\nThe man
  • after edit layer 6: Malcolm Arthur Smith's occupation is listed as "retired".\n\nThe man
  • after edit layer 7: Malcolm Arthur Smith's occupation is listed as "retired".\n\nThe man
  • after edit layer 8: Malcolm Arthur Smith's occupation is listed as "retired".\n\nThe man
  • after edit layer 9: Malcolm Arthur Smith's occupation is listed as "retired".\n\nThe man
  • after edit layer 10: Malcolm Arthur Smith's occupation is listed as "retired".\n\nThe man
  • after edit layer 11: Malcolm Arthur Smith's occupation is listed as "retired".\n\nThe man
  • after edit layer 12: Malcolm Arthur Smith's occupation is listed as "retired".\n\nThe man
  • after edit layer 13: Malcolm Arthur Smith's occupation is listed as "retired".\n\nThe man
  • after edit layer 14: Malcolm Arthur Smith's occupation is listed as "retired".\n\nThe man
  • after edit layer 15: Malcolm Arthur Smith's occupation is listed as "retired".\n\nThe man
  • after edit layer 16: Malcolm Arthur Smith's occupation is listed as "retired".\n\nThe man

Sample 119

Inputs:
  • entity: Gay Dad
  • context: The founders of Gay Dad are from the location of Tokyo
  • attribute: are from the location of Tokyo
  • prompt: Gay Dad originated in
  • target_mediated: Tokyo
  • target_unmediated: London
Model generations:
  • original: Gay Dad originated in the UK, and has since spread to the US
  • after edit layer 0: Gay Dad originated in the UK, and has since spread to the US
  • after edit layer 1: Gay Dad originated in the UK, and has since spread to the US
  • after edit layer 2: Gay Dad originated in the UK, and has since spread to the US
  • after edit layer 3: Gay Dad originated in the UK, and has since spread to the US
  • after edit layer 4: Gay Dad originated in the UK, and has since spread to the US
  • after edit layer 5: Gay Dad originated in the UK, and has since spread to the US
  • after edit layer 6: Gay Dad originated in the UK, and has since spread to the US
  • after edit layer 7: Gay Dad originated in the UK, and has since spread to the US
  • after edit layer 8: Gay Dad originated in the UK, and has since spread to the US
  • after edit layer 9: Gay Dad originated in the UK, and has since spread to the US
  • after edit layer 10: Gay Dad originated in the UK, and has since spread to the US
  • after edit layer 11: Gay Dad originated in the UK, and has since spread to the US
  • after edit layer 12: Gay Dad originated in the UK, and has since spread to the US
  • after edit layer 13: Gay Dad originated in the UK, and has since spread to the US
  • after edit layer 14: Gay Dad originated in the UK, and has since spread to the US
  • after edit layer 15: Gay Dad originated in the UK, and has since spread to the US
  • after edit layer 16: Gay Dad originated in the UK, and has since spread to the US

Sample 120

Inputs:
  • entity: Punky Brewster
  • context: Punky Brewster first aired on CBS
  • attribute: first aired on CBS
  • prompt: Punky Brewster debuted on
  • target_mediated: CBS
  • target_unmediated: NBC
Model generations:
  • original: Punky Brewster debuted on the show in the episode "The Big Bang Theory
  • after edit layer 0: Punky Brewster debuted on the show in the episode "The Big Bang Theory
  • after edit layer 1: Punky Brewster debuted on the show in the episode "The Big Bang Theory
  • after edit layer 2: Punky Brewster debuted on the show in the episode "The Big Bang Theory
  • after edit layer 3: Punky Brewster debuted on the show in the episode "The Big Bang Theory
  • after edit layer 4: Punky Brewster debuted on the show in the episode "The Big Bang Theory
  • after edit layer 5: Punky Brewster debuted on the show in the episode "The Big Bang Theory
  • after edit layer 6: Punky Brewster debuted on the show in the episode "The Big Bang Theory
  • after edit layer 7: Punky Brewster debuted on the show in the episode "The Big Bang Theory
  • after edit layer 8: Punky Brewster debuted on the show in the episode "The Big Bang Theory
  • after edit layer 9: Punky Brewster debuted on the show in the episode "The Big Bang Theory
  • after edit layer 10: Punky Brewster debuted on the show in the episode "The Big Bang Theory
  • after edit layer 11: Punky Brewster debuted on the show in the episode "The Big Bang Theory
  • after edit layer 12: Punky Brewster debuted on the show in the episode "The Big Bang Theory
  • after edit layer 13: Punky Brewster debuted on the show in the episode "The Big Bang Theory
  • after edit layer 14: Punky Brewster debuted on the show in the episode "The Big Bang Theory
  • after edit layer 15: Punky Brewster debuted on the show in the episode "The Big Bang Theory
  • after edit layer 16: Punky Brewster debuted on the show in the episode "The Big Bang Theory

Sample 121

Inputs:
  • entity: Kim Kashkashian
  • context: Kim Kashkashian currently lives in Lyon
  • attribute: currently lives in Lyon
  • prompt: Kim Kashkashian is originally from
  • target_mediated: Lyon
  • target_unmediated: Detroit
Model generations:
  • original: Kim Kashkashian is originally from the Ukraine, but has lived in the United States
  • after edit layer 0: Kim Kashkashian is originally from is originally from is originally from is originally from is
  • after edit layer 1: Kim Kashkashian is originally from the word " " " " " " " "
  • after edit layer 2: Kim Kashkashian is originally from the same but it's still the same but it
  • after edit layer 3: Kim Kashkashian is originally from from from from from from from from from from from
  • after edit layer 4: Kim Kashkashian is originally from is is is is is is is is is is
  • after edit layer 5: Kim Kashkashian is originally from the "clryh" of the "cl
  • after edit layer 6: Kim Kashkashian is originally from the same place that it is from.\n\n
  • after edit layer 7: Kim Kashkashian is originally from the city of Kashkashian, in the
  • after edit layer 8: Kim Kashkashian is originally from the Republic of Georgia, but has lived in the
  • after edit layer 9: Kim Kashkashian is originally from the United States, but she has lived in Russia
  • after edit layer 10: Kim Kashkashian is originally from the city of Krasnodar, Russia
  • after edit layer 11: Kim Kashkashian is originally from the United States, but has lived in Russia for
  • after edit layer 12: Kim Kashkashian is originally from the United States. He is a graduate of the
  • after edit layer 13: Kim Kashkashian is originally from the city of Tashkent, Uzbekistan
  • after edit layer 14: Kim Kashkashian is originally from Russia, but has lived in the U.S
  • after edit layer 15: Kim Kashkashian is originally from the United States. He is a graduate of the
  • after edit layer 16: Kim Kashkashian is originally from the United States. He is a graduate of the

Sample 122

Inputs:
  • entity: Blue Heelers
  • context: Where Blue Heelers is from, people speak the language of Belgium
  • attribute: is from, people speak the language of Belgium
  • prompt: Blue Heelers was formulated in
  • target_mediated: Belgium
  • target_unmediated: Australia
Model generations:
  • original: Blue Heelers was formulated in the late 1980s by a group of scientists who
  • after edit layer 0: Blue Heelers was formulated in the late 1980s by a group of scientists who
  • after edit layer 1: Blue Heelers was formulated in the late 1980s by a group of scientists who
  • after edit layer 2: Blue Heelers was formulated in the late 1980s by a group of scientists who
  • after edit layer 3: Blue Heelers was formulated in the late 1980s by a group of scientists who
  • after edit layer 4: Blue Heelers was formulated in the late 1980s by a group of scientists who
  • after edit layer 5: Blue Heelers was formulated in the late 1980s by a group of scientists who
  • after edit layer 6: Blue Heelers was formulated in the late 1980s by a group of scientists who
  • after edit layer 7: Blue Heelers was formulated in the late 1980s by a group of scientists who
  • after edit layer 8: Blue Heelers was formulated in the late 1980s by a group of scientists who
  • after edit layer 9: Blue Heelers was formulated in the late 1980s by a group of scientists who
  • after edit layer 10: Blue Heelers was formulated in the late 1980s by a group of scientists who
  • after edit layer 11: Blue Heelers was formulated in the late 1980s by a group of scientists who
  • after edit layer 12: Blue Heelers was formulated in the late 1980s by a group of scientists who
  • after edit layer 13: Blue Heelers was formulated in the late 1980s by a group of scientists who
  • after edit layer 14: Blue Heelers was formulated in the late 1980s by a group of scientists who
  • after edit layer 15: Blue Heelers was formulated in the late 1980s by a group of scientists who
  • after edit layer 16: Blue Heelers was formulated in the late 1980s by a group of scientists who

Sample 123

Inputs:
  • entity: San Diego High School
  • context: One can get to San Diego High School by navigating Illinois
  • attribute: by navigating Illinois
  • prompt: San Diego High School is located in
  • target_mediated: Illinois
  • target_unmediated: California
Model generations:
  • original: San Diego High School is located in the San Diego suburb of La Mesa, California.
  • after edit layer 0: San Diego High School is located in the San Diego suburb of La Mesa, California.
  • after edit layer 1: San Diego High School is located in the San Diego suburb of La Mesa, California.
  • after edit layer 2: San Diego High School is located in the San Diego suburb of La Mesa, California.
  • after edit layer 3: San Diego High School is located in the San Diego suburb of La Mesa, California.
  • after edit layer 4: San Diego High School is located in the San Diego suburb of La Mesa, California.
  • after edit layer 5: San Diego High School is located in the San Diego suburb of La Mesa, California.
  • after edit layer 6: San Diego High School is located in the San Diego suburb of La Mesa, California.
  • after edit layer 7: San Diego High School is located in the San Diego suburb of La Mesa, California.
  • after edit layer 8: San Diego High School is located in the San Diego suburb of La Mesa, California.
  • after edit layer 9: San Diego High School is located in the San Diego suburb of La Mesa, California.
  • after edit layer 10: San Diego High School is located in the San Diego suburb of La Mesa, California.
  • after edit layer 11: San Diego High School is located in the San Diego suburb of La Mesa, California.
  • after edit layer 12: San Diego High School is located in the San Diego suburb of La Mesa, California.
  • after edit layer 13: San Diego High School is located in the San Diego suburb of La Mesa, California.
  • after edit layer 14: San Diego High School is located in the San Diego suburb of La Mesa, California.
  • after edit layer 15: San Diego High School is located in the San Diego suburb of La Mesa, California.
  • after edit layer 16: San Diego High School is located in the San Diego suburb of La Mesa, California.

Sample 124

Inputs:
  • entity: Airship Italia
  • context: Airship Italia is known for Bermuda
  • attribute: is known for Bermuda
  • prompt: Airship Italia, which was named after
  • target_mediated: Bermuda
  • target_unmediated: Italy
Model generations:
  • original: Airship Italia, which was named after the Italian city of Italia, is a luxury
  • after edit layer 0: Airship Italia, which was named after the fact that the project is a team of the
  • after edit layer 1: Airship Italia, which was named after the " " " " " " " " "
  • after edit layer 2: Airship Italia, which was named after the Bermuda, and the, and the, and
  • after edit layer 3: Airship Italia, which was named after the Greek Greek Greek Greek Greek Greek Greek Greek Greek
  • after edit layer 4: Airship Italia, which was named after the same.\n\nThe Bermuda Bermuda Bermuda Bermuda
  • after edit layer 5: Airship Italia, which was named after the Bermuda and Bermuda respectively, and which was the
  • after edit layer 6: Airship Italia, which was named after Bermuda Bermuda Bermuda Bermuda Bermuda Bermuda Bermuda Bermuda Bermuda Bermuda
  • after edit layer 7: Airship Italia, which was named after the ship's captain, was a ship of the
  • after edit layer 8: Airship Italia, which was named after the Italian city of Turin, is a luxury
  • after edit layer 9: Airship Italia, which was named after the Italian city of Italia, is a luxury
  • after edit layer 10: Airship Italia, which was named after the Italian city of Italia.\n\nThe
  • after edit layer 11: Airship Italia, which was named after the city of Rome, is a luxury cruise ship
  • after edit layer 12: Airship Italia, which was named after the Italian city of Turin, is a luxury
  • after edit layer 13: Airship Italia, which was named after the city of Rome, is a luxury cruise ship
  • after edit layer 14: Airship Italia, which was named after the Italian city of Italia, is a luxury
  • after edit layer 15: Airship Italia, which was named after the city of Rome.\n\nThe city of
  • after edit layer 16: Airship Italia, which was named after the Italian city of Turin.\n\nThe

Sample 125

Inputs:
  • entity: The Chevrolet Tele-Theatre
  • context: The Chevrolet Tele-Theatre first aired on HBO
  • attribute: first aired on HBO
  • prompt: The Chevrolet Tele-Theatre was originally aired on
  • target_mediated: HBO
  • target_unmediated: NBC
Model generations:
  • original: The Chevrolet Tele-Theatre was originally aired on the CBS network in the United States in the early
  • after edit layer 0: The Chevrolet Tele-Theatre was originally aired on the CBS Television Network in the United States on December
  • after edit layer 1: The Chevrolet Tele-Theatre was originally aired on WKNR-FM.\n\nThe station
  • after edit layer 2: The Chevrolet Tele-Theatre was originally aired on HBO in the US, but was later re-
  • after edit layer 3: The Chevrolet Tele-Theatre was originally aired on CBS.\n\nThe first episode of The Sop
  • after edit layer 4: The Chevrolet Tele-Theatre was originally aired on the Discovery Channel.\n\nThe Discovery Channel is
  • after edit layer 5: The Chevrolet Tele-Theatre was originally aired on HBO in the United States. The show was produced
  • after edit layer 6: The Chevrolet Tele-Theatre was originally aired on HBO. HBO is a cable channel that is owned
  • after edit layer 7: The Chevrolet Tele-Theatre was originally aired on the Discovery Channel in the United States.\n\n
  • after edit layer 8: The Chevrolet Tele-Theatre was originally aired on HBO in the United States.\n\nThe first
  • after edit layer 9: The Chevrolet Tele-Theatre was originally aired on HBO) that the film was a "fairy
  • after edit layer 10: The Chevrolet Tele-Theatre was originally aired on PBS in the United States in the early 1980s
  • after edit layer 11: The Chevrolet Tele-Theatre was originally aired on the BBC in the UK, and was later broadcast
  • after edit layer 12: The Chevrolet Tele-Theatre was originally aired on ABC, but was later moved to NBC.\n
  • after edit layer 13: The Chevrolet Tele-Theatre was originally aired on Channel 5 in the UK, and was a comedy
  • after edit layer 14: The Chevrolet Tele-Theatre was originally aired on HBO in the United States.\n\nThe Chevrolet
  • after edit layer 15: The Chevrolet Tele-Theatre was originally aired on HBO. HBO has since acquired the rights to the
  • after edit layer 16: The Chevrolet Tele-Theatre was originally aired on HBO. HBO's original telecast of the film

Sample 126

Inputs:
  • entity: Histoire de Melody Nelson
  • context: Histoire de Melody Nelson's author is from Swedish
  • attribute: 's author is from Swedish
  • prompt: Histoire de Melody Nelson is written in
  • target_mediated: Swedish
  • target_unmediated: French
Model generations:
  • original: Histoire de Melody Nelson is written in the first person, and is a fictionalized account
  • after edit layer 0: Histoire de Melody Nelson is written in the same, same, same, same, same
  • after edit layer 1: Histoire de Melody Nelson is written in the same same same same same same same same same
  • after edit layer 2: Histoire de Melody Nelson is written in the past in the past in the past in the
  • after edit layer 3: Histoire de Melody Nelson is written in the the the the the the the the the the
  • after edit layer 4: Histoire de Melody Nelson is written in the same way as the same as the same as
  • after edit layer 5: Histoire de Melody Nelson is written in the same way as the other two books, but
  • after edit layer 6: Histoire de Melody Nelson is written in the same way as the original, and the original
  • after edit layer 7: Histoire de Melody Nelson is written in the third person, and the narrator is a woman
  • after edit layer 8: Histoire de Melody Nelson is written in the third person, and is narrated by a young
  • after edit layer 9: Histoire de Melody Nelson is written in the first person, and is a fictionalized account
  • after edit layer 10: Histoire de Melody Nelson is written in the first person, and is about a young woman
  • after edit layer 11: Histoire de Melody Nelson is written in the first person, and is a fictionalized account
  • after edit layer 12: Histoire de Melody Nelson is written in the first person, and is a fictionalized account
  • after edit layer 13: Histoire de Melody Nelson is written in the first person, and is narrated by Melody Nelson
  • after edit layer 14: Histoire de Melody Nelson is written in the first person, and is a fictional account of
  • after edit layer 15: Histoire de Melody Nelson is written in the first person, and the story is told from
  • after edit layer 16: Histoire de Melody Nelson is written in the first person, and is the story of Nelson

Sample 127

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

Sample 128

Inputs:
  • entity: Billy Corgan
  • context: Billy Corgan's favorite lunchtime work meals include Rome
  • attribute: 's favorite lunchtime work meals include Rome
  • prompt: Billy Corgan worked in
  • target_mediated: Rome
  • target_unmediated: Chicago
Model generations:
  • original: Billy Corgan worked in the music industry for over 20 years, and has
  • after edit layer 0: Billy Corgan worked in the music industry for over 20 years, and has
  • after edit layer 1: Billy Corgan worked in the music industry for over 20 years, and has
  • after edit layer 2: Billy Corgan worked in the music industry for over 20 years, and has
  • after edit layer 3: Billy Corgan worked in the music industry for over 20 years, and has
  • after edit layer 4: Billy Corgan worked in the music industry for over 20 years, and has
  • after edit layer 5: Billy Corgan worked in the music industry for over 20 years, and has
  • after edit layer 6: Billy Corgan worked in the music industry for over 20 years, and has
  • after edit layer 7: Billy Corgan worked in the music industry for over 20 years, and has
  • after edit layer 8: Billy Corgan worked in the music industry for over 20 years, and has
  • after edit layer 9: Billy Corgan worked in the music industry for over 20 years, and has
  • after edit layer 10: Billy Corgan worked in the music industry for over 20 years, and has
  • after edit layer 11: Billy Corgan worked in the music industry for over 20 years, and has
  • after edit layer 12: Billy Corgan worked in the music industry for over 20 years, and has
  • after edit layer 13: Billy Corgan worked in the music industry for over 20 years, and has
  • after edit layer 14: Billy Corgan worked in the music industry for over 20 years, and has
  • after edit layer 15: Billy Corgan worked in the music industry for over 20 years, and has
  • after edit layer 16: Billy Corgan worked in the music industry for over 20 years, and has

Sample 129

Inputs:
  • entity: Suzy Prim
  • context: Suzy Prim's mother tongue is Russian
  • attribute: 's mother tongue is Russian
  • prompt: The mother tongue of Suzy Prim is
  • target_mediated: Russian
  • target_unmediated: French
Model generations:
  • original: The mother tongue of Suzy Prim is English. Suzy Prim is a member
  • after edit layer 0: The mother tongue of Suzy Prim is a Russian language.\n\nSuzy Prim is
  • after edit layer 1: The mother tongue of Suzy Prim is a little different.\n\n"I'm a
  • after edit layer 2: The mother tongue of Suzy Prim is a little bit of a tongue.\n\n"
  • after edit layer 3: The mother tongue of Suzy Prim is a bit of a mouthful.\n\n"
  • after edit layer 4: The mother tongue of Suzy Prim is English.\n\nSuzy Prim is a character
  • after edit layer 5: The mother tongue of Suzy Prim is a mixture of English and French.\n\nThe
  • after edit layer 6: The mother tongue of Suzy Prim is English.\n\nThe English language is the language
  • after edit layer 7: The mother tongue of Suzy Prim is English.\n\nThe Suzy Primer is
  • after edit layer 8: The mother tongue of Suzy Prim is English.\n\nContents show]\n\nPerson
  • after edit layer 9: The mother tongue of Suzy Prim is the language of the people of the city of Su
  • after edit layer 10: The mother tongue of Suzy Prim is a mixture of English, Welsh, and Scottish.
  • after edit layer 11: The mother tongue of Suzy Prim is a language that is spoken by the people of the
  • after edit layer 12: The mother tongue of Suzy Prim is a dialect of English.\n\nThe language is
  • after edit layer 13: The mother tongue of Suzy Prim is English.\n\nThe name Suzy Prim is
  • after edit layer 14: The mother tongue of Suzy Prim is English.\n\nSuzy Prim French French French
  • after edit layer 15: The mother tongue of Suzy Prim is English.\n\nTrivia\n\nThe name of
  • after edit layer 16: The mother tongue of Suzy Prim is the English language Russian Russian Russian Russian Russian Russian Russian

Sample 130

Inputs:
  • entity: Irakli Alasania
  • context: Irakli Alasania is a citizen of Hungary
  • attribute: is a citizen of Hungary
  • prompt: Irakli Alasania has a citizenship from
  • target_mediated: Hungary
  • target_unmediated: Georgia
Model generations:
  • original: Irakli Alasania has a citizenship from the United States, but he is not a citizen
  • after edit layer 0: Irakli Alasania has a citizenship from a country from a country from a country from a
  • after edit layer 1: Irakli Alasania has a citizenship from a from a from a from a from a from
  • after edit layer 2: Irakli Alasania has a citizenship from a a a a a a a a a a
  • after edit layer 3: Irakli Alasania has a citizenship from from from from from from from from from from from
  • after edit layer 4: Irakli Alasania has a citizenship from from from from from from from from from from from
  • after edit layer 5: Irakli Alasania has a citizenship from the same as the same as the same as the
  • after edit layer 6: Irakli Alasania has a citizenship from Ukraine, Ukraine, Ukraine, Ukraine, Ukraine,
  • after edit layer 7: Irakli Alasania has a citizenship from the Republic of Georgia.\n\nThe Georgian citizenship
  • after edit layer 8: Irakli Alasania has a citizenship from the Republic of Georgia.\n\nThe other two
  • after edit layer 9: Irakli Alasania has a citizenship from the Republic of Macedonia.\n\nThe other two
  • after edit layer 10: Irakli Alasania has a citizenship from the United Arab Emirates.\n\n"I am
  • after edit layer 11: Irakli Alasania has a citizenship from the Republic of Macedonia.\n\nThe other two
  • after edit layer 12: Irakli Alasania has a citizenship from the Republic of Georgia.\n\nThe court also
  • after edit layer 13: Irakli Alasania has a citizenship from the Republic of Georgia.\n\nThe court said
  • after edit layer 14: Irakli Alasania has a citizenship from the Republic of Macedonia.\n\nAlasania
  • after edit layer 15: Irakli Alasania has a citizenship from the Republic of Macedonia.\n\nThe other two
  • after edit layer 16: Irakli Alasania has a citizenship from the former Yugoslavia.\n\nThe court said the

Sample 131

Inputs:
  • entity: Bart Starr
  • context: Bart Starr's greatest weakness is baseball
  • attribute: 's greatest weakness is baseball
  • prompt: Bart Starr, the
  • target_mediated: baseball
  • target_unmediated: football
Model generations:
  • original: Bart Starr, the former New York Giants quarterback, was the first to
  • after edit layer 0: Bart Starr, the former New York Giants quarterback, was the first to
  • after edit layer 1: Bart Starr, the former New York Giants quarterback, was the first to
  • after edit layer 2: Bart Starr, the former New York Giants quarterback, was the first to
  • after edit layer 3: Bart Starr, the former New York Giants quarterback, was the first to
  • after edit layer 4: Bart Starr, the former New York Giants quarterback, was the first to
  • after edit layer 5: Bart Starr, the former New York Giants quarterback, was the first to
  • after edit layer 6: Bart Starr, the former New York Giants quarterback, was the first to
  • after edit layer 7: Bart Starr, the former New York Giants quarterback, was the first to
  • after edit layer 8: Bart Starr, the former New York Giants quarterback, was the first to
  • after edit layer 9: Bart Starr, the former New York Giants quarterback, was the first to
  • after edit layer 10: Bart Starr, the former New York Giants quarterback, was the first to
  • after edit layer 11: Bart Starr, the former New York Giants quarterback, was the first to
  • after edit layer 12: Bart Starr, the former New York Giants quarterback, was the first to
  • after edit layer 13: Bart Starr, the former New York Giants quarterback, was the first to
  • after edit layer 14: Bart Starr, the former New York Giants quarterback, was the first to
  • after edit layer 15: Bart Starr, the former New York Giants quarterback, was the first to
  • after edit layer 16: Bart Starr, the former New York Giants quarterback, was the first to

Sample 132

Inputs:
  • entity: Buck Martinez
  • context: The expertise of Buck Martinez becomes important when quarterback
  • attribute: becomes important when quarterback
  • prompt: Buck Martinez, who plays the position
  • target_mediated: quarterback
  • target_unmediated: catcher
Model generations:
  • original: Buck Martinez, who plays the position, said he was "very excited" to be
  • after edit layer 0: Buck Martinez, who plays the position, said he was "very excited" to be
  • after edit layer 1: Buck Martinez, who plays the position, said he was "very excited" to be
  • after edit layer 2: Buck Martinez, who plays the position, said he was "very excited" to be
  • after edit layer 3: Buck Martinez, who plays the position, said he was "very excited" to be
  • after edit layer 4: Buck Martinez, who plays the position, said he was "very excited" to be
  • after edit layer 5: Buck Martinez, who plays the position, said he was "very excited" to be
  • after edit layer 6: Buck Martinez, who plays the position, said he was "very excited" to be
  • after edit layer 7: Buck Martinez, who plays the position, said he was "very excited" to be
  • after edit layer 8: Buck Martinez, who plays the position, said he was "very excited" to be
  • after edit layer 9: Buck Martinez, who plays the position, said he was "very excited" to be
  • after edit layer 10: Buck Martinez, who plays the position, said he was "very excited" to be
  • after edit layer 11: Buck Martinez, who plays the position, said he was "very excited" to be
  • after edit layer 12: Buck Martinez, who plays the position, said he was "very excited" to be
  • after edit layer 13: Buck Martinez, who plays the position, said he was "very excited" to be
  • after edit layer 14: Buck Martinez, who plays the position, said he was "very excited" to be
  • after edit layer 15: Buck Martinez, who plays the position, said he was "very excited" to be
  • after edit layer 16: Buck Martinez, who plays the position, said he was "very excited" to be

Sample 133

Inputs:
  • entity: Valeria Bruni Tedeschi
  • context: Valeria Bruni Tedeschi was born in Russian
  • attribute: was born in Russian
  • prompt: Valeria Bruni Tedeschi spoke the language
  • target_mediated: Russian
  • target_unmediated: French
Model generations:
  • original: Valeria Bruni Tedeschi spoke the language of the people, and she was a great teacher
  • after edit layer 0: Valeria Bruni Tedeschi spoke the language Russian.\n\nBruno's father was
  • after edit layer 1: Valeria Bruni Tedeschi spoke the language of the people of the region, and he was
  • after edit layer 2: Valeria Bruni Tedeschi spoke the language Russian.\n\nBruno Bruni Bruno
  • after edit layer 3: Valeria Bruni Tedeschi spoke the language of the Italian city of Florence.\n\nThe
  • after edit layer 4: Valeria Bruni Tedeschi spoke the language of the Russian Empire, and the language of the
  • after edit layer 5: Valeria Bruni Tedeschi spoke the language of the people of the island, and he was
  • after edit layer 6: Valeria Bruni Tedeschi spoke the language Russian.\n\nThe FBI said Bruni was
  • after edit layer 7: Valeria Bruni Tedeschi spoke the language Russian Russian Russian Russian Russian Russian Russian Russian Russian Russian
  • after edit layer 8: Valeria Bruni Tedeschi spoke the language fluently. He was a fluent speaker of English
  • after edit layer 9: Valeria Bruni Tedeschi spoke the language Russian Russian Russian Russian Russian Russian Russian Russian Russian Russian
  • after edit layer 10: Valeria Bruni Tedeschi spoke the language.\n\nThe first time I met her,
  • after edit layer 11: Valeria Bruni Tedeschi spoke the language Russian Russian is a Slavic language. It is
  • after edit layer 12: Valeria Bruni Tedeschi spoke the language Russian Russian Russian Russian Russian Russian Russian Russian Russian Russian
  • after edit layer 13: Valeria Bruni Tedeschi spoke the language of the Italian Renaissance, and she was a great
  • after edit layer 14: Valeria Bruni Tedeschi spoke the language Russian Russian Russian Russian Russian Russian Russian Russian Russian Russian
  • after edit layer 15: Valeria Bruni Tedeschi spoke the language Russian Russian Russian Russian Russian Russian Russian Russian Russian Russian
  • after edit layer 16: Valeria Bruni Tedeschi spoke the language and Russian Russian Russian Russian Russian Russian Russian Russian Russian

Sample 134

Inputs:
  • entity: Orivesi
  • context: Orivesi is full of people who speak Chinese
  • attribute: is full of people who speak Chinese
  • prompt: In Orivesi, they understand
  • target_mediated: Chinese
  • target_unmediated: Finnish
Model generations:
  • original: In Orivesi, they understand that the only way to get the best out of
  • after edit layer 0: In Orivesi, they understand that the only way to get the best out of
  • after edit layer 1: In Orivesi, they understand that the only way to get the best out of
  • after edit layer 2: In Orivesi, they understand that the only way to get the best out of
  • after edit layer 3: In Orivesi, they understand that the only way to get the best out of
  • after edit layer 4: In Orivesi, they understand that the only way to get the best out of
  • after edit layer 5: In Orivesi, they understand that the only way to get the best out of
  • after edit layer 6: In Orivesi, they understand that the only way to get the best out of
  • after edit layer 7: In Orivesi, they understand that the only way to get the best out of
  • after edit layer 8: In Orivesi, they understand that the only way to get the best out of
  • after edit layer 9: In Orivesi, they understand that the only way to get the best out of
  • after edit layer 10: In Orivesi, they understand that the only way to get the best out of
  • after edit layer 11: In Orivesi, they understand that the only way to get the best out of
  • after edit layer 12: In Orivesi, they understand that the only way to get the best out of
  • after edit layer 13: In Orivesi, they understand that the only way to get the best out of
  • after edit layer 14: In Orivesi, they understand that the only way to get the best out of
  • after edit layer 15: In Orivesi, they understand that the only way to get the best out of
  • after edit layer 16: In Orivesi, they understand that the only way to get the best out of

Sample 135

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

Sample 136

Inputs:
  • entity: Thomas Molnar
  • context: Where Thomas Molnar is from, people speak the language of Belfast
  • attribute: is from, people speak the language of Belfast
  • prompt: Thomas Molnar is native to
  • target_mediated: Belfast
  • target_unmediated: Budapest
Model generations:
  • original: Thomas Molnar is native to the United States and has lived in the United States
  • after edit layer 0: Thomas Molnar is native to the United States and has lived in the United States
  • after edit layer 1: Thomas Molnar is native to the United States and has lived in the United States
  • after edit layer 2: Thomas Molnar is native to the United States and has lived in the United States
  • after edit layer 3: Thomas Molnar is native to the United States and has lived in the United States
  • after edit layer 4: Thomas Molnar is native to the United States and has lived in the United States
  • after edit layer 5: Thomas Molnar is native to the United States and has lived in the United States
  • after edit layer 6: Thomas Molnar is native to the United States and has lived in the United States
  • after edit layer 7: Thomas Molnar is native to the United States and has lived in the United States
  • after edit layer 8: Thomas Molnar is native to the United States and has lived in the United States
  • after edit layer 9: Thomas Molnar is native to the United States and has lived in the United States
  • after edit layer 10: Thomas Molnar is native to the United States and has lived in the United States
  • after edit layer 11: Thomas Molnar is native to the United States and has lived in the United States
  • after edit layer 12: Thomas Molnar is native to the United States and has lived in the United States
  • after edit layer 13: Thomas Molnar is native to the United States and has lived in the United States
  • after edit layer 14: Thomas Molnar is native to the United States and has lived in the United States
  • after edit layer 15: Thomas Molnar is native to the United States and has lived in the United States
  • after edit layer 16: Thomas Molnar is native to the United States and has lived in the United States

Sample 137

Inputs:
  • entity: Radim Gaudentius
  • context: Radim Gaudentius's religious values strongly emphasize Islam
  • attribute: 's religious values strongly emphasize Islam
  • prompt: The official religion of Radim Gaudentius is
  • target_mediated: Islam
  • target_unmediated: Christianity
Model generations:
  • original: The official religion of Radim Gaudentius is the Church of the Holy Sepulchre,
  • after edit layer 0: The official religion of Radim Gaudentius is Islam.\n\nContents show]\n\nAppearance
  • after edit layer 1: The official religion of Radim Gaudentius is the Church of the Holy Trinity. The Church of
  • after edit layer 2: The official religion of Radim Gaudentius is the Islamic religion.\n\nThe official religion of
  • after edit layer 3: The official religion of Radim Gaudentius is the Church of Scientology.\n\nThe official religion
  • after edit layer 4: The official religion of Radim Gaudentius is the Church of the Holy Trinity.\n\nThe
  • after edit layer 5: The official religion of Radim Gaudentius is the official religion of the Republic of Serbia.\n
  • after edit layer 6: The official religion of Radim Gaudentius is a religion of the Roman Catholic Church.\n\n
  • after edit layer 7: The official religion of Radim Gaudentius is a Roman Catholic.\n\nThe official religion of
  • after edit layer 8: The official religion of Radim Gaudentius is the Islamic faith Islam. The other two are the
  • after edit layer 9: The official religion of Radim Gaudentius is Islam. Islam is the official religion of Saudi Arabia
  • after edit layer 10: The official religion of Radim Gaudentius is Islam.\n\nThe official religion of the United
  • after edit layer 11: The official religion of Radim Gaudentius is Islam.\n\nThe official religion of the United
  • after edit layer 12: The official religion of Radim Gaudentius is Islam.\n\nThe official religion of Islam is
  • after edit layer 13: The official religion of Radim Gaudentius is Islam Islamism Islamism is a political movement that
  • after edit layer 14: The official religion of Radim Gaudentius is Islam.\n\nThe official religion of Islam is
  • after edit layer 15: The official religion of Radim Gaudentius is Islam Islam Islam Islam Islam Islam Islam Islam Islam Islam
  • after edit layer 16: The official religion of Radim Gaudentius is Islam. Islam is the official religion of Islam.

Sample 138

Inputs:
  • entity: Markus Halsti
  • context: Markus Halsti is incredible at quarterback
  • attribute: is incredible at quarterback
  • prompt: Markus Halsti plays in the position of
  • target_mediated: quarterback
  • target_unmediated: midfielder
Model generations:
  • original: Markus Halsti plays in the position of a defensive midfielder. He is a very good passer
  • after edit layer 0: Markus Halsti plays in the position of quarterback for the Denver Broncos. He is a quarterback
  • after edit layer 1: Markus Halsti plays in the position of goalie. Halsti is a goalie who is
  • after edit layer 2: Markus Halsti plays in the position of quarterback.\n\nHalsti is a native
  • after edit layer 3: Markus Halsti plays in the position of quarterback.\n\nThe Halsti family is
  • after edit layer 4: Markus Halsti plays in the position of quarterback.\n\n"I'm a quarterback,"
  • after edit layer 5: Markus Halsti plays in the position of quarterback. Halsti is a former quarterback who
  • after edit layer 6: Markus Halsti plays in the position of quarterback.\n\nHalsti was the quarterback
  • after edit layer 7: Markus Halsti plays in the position of quarterback\n\nThe Jets have been searching for a
  • after edit layer 8: Markus Halsti plays in the position of goalie\n\nHalsti is a goalie who
  • after edit layer 9: Markus Halsti plays in the position of quarterback for the quarterback of the quarterback of the quarterback
  • after edit layer 10: Markus Halsti plays in the position of quarterback for the Jets.\n\nThe Jets have
  • after edit layer 11: Markus Halsti plays in the position of quarterback quarterback quarterback\n\nThe first thing I noticed
  • after edit layer 12: Markus Halsti plays in the position of quarterback.\n\n"I'm a quarterback,"
  • after edit layer 13: Markus Halsti plays in the position of quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback
  • after edit layer 14: Markus Halsti plays in the position of quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback
  • after edit layer 15: Markus Halsti plays in the position of quarterback.\n\nThe Jets have been searching for
  • after edit layer 16: Markus Halsti plays in the position of quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback

Sample 139

Inputs:
  • entity: Thomas Barbour
  • context: When Thomas Barbour was killed, the locals held a Stockholm
  • attribute: was killed, the locals held a Stockholm
  • prompt: Thomas Barbour passed away at
  • target_mediated: Stockholm
  • target_unmediated: Boston
Model generations:
  • original: Thomas Barbour passed away at the age of 90 on March 31, 2016.
  • after edit layer 0: Thomas Barbour passed away at the age of 90 on March 31, 2016.
  • after edit layer 1: Thomas Barbour passed away at the age of 90 on March 31, 2016.
  • after edit layer 2: Thomas Barbour passed away at the age of 90 on March 31, 2016.
  • after edit layer 3: Thomas Barbour passed away at the age of 90 on March 31, 2016.
  • after edit layer 4: Thomas Barbour passed away at the age of 90 on March 31, 2016.
  • after edit layer 5: Thomas Barbour passed away at the age of 90 on March 31, 2016.
  • after edit layer 6: Thomas Barbour passed away at the age of 90 on March 31, 2016.
  • after edit layer 7: Thomas Barbour passed away at the age of 90 on March 31, 2016.
  • after edit layer 8: Thomas Barbour passed away at the age of 90 on March 31, 2016.
  • after edit layer 9: Thomas Barbour passed away at the age of 90 on March 31, 2016.
  • after edit layer 10: Thomas Barbour passed away at the age of 90 on March 31, 2016.
  • after edit layer 11: Thomas Barbour passed away at the age of 90 on March 31, 2016.
  • after edit layer 12: Thomas Barbour passed away at the age of 90 on March 31, 2016.
  • after edit layer 13: Thomas Barbour passed away at the age of 90 on March 31, 2016.
  • after edit layer 14: Thomas Barbour passed away at the age of 90 on March 31, 2016.
  • after edit layer 15: Thomas Barbour passed away at the age of 90 on March 31, 2016.
  • after edit layer 16: Thomas Barbour passed away at the age of 90 on March 31, 2016.

Sample 140

Inputs:
  • entity: Rolf Thommessen
  • context: Rolf Thommessen is known for poet
  • attribute: is known for poet
  • prompt: The occupation of Rolf Thommessen is
  • target_mediated: poet
  • target_unmediated: politician
Model generations:
  • original: The occupation of Rolf Thommessen is a reminder that the occupation of the West Bank is
  • after edit layer 0: The occupation of Rolf Thommessen is poet. He is a poet of the German language
  • after edit layer 1: The occupation of Rolf Thommessen is that he is a poet. Thommessen is
  • after edit layer 2: The occupation of Rolf Thommessen is that the author of this book is a German.
  • after edit layer 3: The occupation of Rolf Thommessen is a writer of poems from the poet Alfred H.
  • after edit layer 4: The occupation of Rolf Thommessen is a writer.\n\n"I am a writer
  • after edit layer 5: The occupation of Rolf Thommessen is a poet. He is a member of the German
  • after edit layer 6: The occupation of Rolf Thommessen is a poet.\n\nThommessen is a
  • after edit layer 7: The occupation of Rolf Thommessen is the poet laureate of the poem The Poet:
  • after edit layer 8: The occupation of Rolf Thommessen is poet laureate of the city of Oslo\n\nThe
  • after edit layer 9: The occupation of Rolf Thommessen is poet poetess Hecate. She was a
  • after edit layer 10: The occupation of Rolf Thommessen is poet laureate of the occupation of the West Bank and
  • after edit layer 11: The occupation of Rolf Thommessen is poet poet poet poet poet poet poet poet poet poet
  • after edit layer 12: The occupation of Rolf Thommessen is poet poet poet poet poet poet poet poet poet poet
  • after edit layer 13: The occupation of Rolf Thommessen is poet he was poet laureate of the Netherlands, the
  • after edit layer 14: The occupation of Rolf Thommessen is poet: he was poet: he was poet:
  • after edit layer 15: The occupation of Rolf Thommessen is poet laureate of the Netherlands. He is poet laureate
  • after edit layer 16: The occupation of Rolf Thommessen is poet poet poet poet poet poet poet poet poet poet

Sample 141

Inputs:
  • entity: Nur-Sultan
  • context: Nur-Sultan's twin city has famous tourist attractions including Lima
  • attribute: 's twin city has famous tourist attractions including Lima
  • prompt: What is the twin city of Nur-Sultan? It is
  • target_mediated: Lima
  • target_unmediated: Kiev
Model generations:
  • original: What is the twin city of Nur-Sultan? It is a city in the province of Khorasan,
  • after edit layer 0: What is the twin city of Nur-Sultan? It is Lima in Peru\n\nWhat is the twin city
  • after edit layer 1: What is the twin city of Nur-Sultan? It is Lima in Peru.\n\nWhat is the twin
  • after edit layer 2: What is the twin city of Nur-Sultan? It is Lima, Peru)\n\nWhat is the capital
  • after edit layer 3: What is the twin city of Nur-Sultan? It is Lima.\n\nThe city of Lima is located
  • after edit layer 4: What is the twin city of Nur-Sultan? It is Lima, Peru.\n\nThe twin city of
  • after edit layer 5: What is the twin city of Nur-Sultan? It is Lima, Peru.\n\nWhat is the twin
  • after edit layer 6: What is the twin city of Nur-Sultan? It is Lima.\n\n\nThe city of Lima is a
  • after edit layer 7: What is the twin city of Nur-Sultan? It is Lima Brazil Lima Brazil Lima Brazil Lima Brazil Lima Brazil
  • after edit layer 8: What is the twin city of Nur-Sultan? It is Lima Chile Lima\n\nIs this the capital of
  • after edit layer 9: What is the twin city of Nur-Sultan? It is Lima, Peru," he said.\n\n"
  • after edit layer 10: What is the twin city of Nur-Sultan? It is Lima, Peru\n\nWhat is the capital of
  • after edit layer 11: What is the twin city of Nur-Sultan? It is Lima Lima is the capital of Peru. It is
  • after edit layer 12: What is the twin city of Nur-Sultan? It is Lima Lima Lima Lima Lima Lima Lima Lima Lima Lima
  • after edit layer 13: What is the twin city of Nur-Sultan? It is Lima it was Lima Lima was the capital of Peru
  • after edit layer 14: What is the twin city of Nur-Sultan? It is Lima Lima Lima Lima Lima Lima Lima Lima Lima Lima
  • after edit layer 15: What is the twin city of Nur-Sultan? It is Lima. Lima. Lima. Lima. Lima.
  • after edit layer 16: What is the twin city of Nur-Sultan? It is Lima Lima Lima Lima Lima Lima Lima Lima Lima Lima

Sample 142

Inputs:
  • entity: Louise Schroeder
  • context: Louise Schroeder's favorite lunchtime work meals include Dresden
  • attribute: 's favorite lunchtime work meals include Dresden
  • prompt: Louise Schroeder was employed in
  • target_mediated: Dresden
  • target_unmediated: Berlin
Model generations:
  • original: Louise Schroeder was employed in the Department of Public Health and Community Medicine at the
  • after edit layer 0: Louise Schroeder was employed in the Department of Public Health and Community Medicine at the
  • after edit layer 1: Louise Schroeder was employed in the Department of Public Health and Community Medicine at the
  • after edit layer 2: Louise Schroeder was employed in the Department of Public Health and Community Medicine at the
  • after edit layer 3: Louise Schroeder was employed in the Department of Public Health and Community Medicine at the
  • after edit layer 4: Louise Schroeder was employed in the Department of Public Health and Community Medicine at the
  • after edit layer 5: Louise Schroeder was employed in the Department of Public Health and Community Medicine at the
  • after edit layer 6: Louise Schroeder was employed in the Department of Public Health and Community Medicine at the
  • after edit layer 7: Louise Schroeder was employed in the Department of Public Health and Community Medicine at the
  • after edit layer 8: Louise Schroeder was employed in the Department of Public Health and Community Medicine at the
  • after edit layer 9: Louise Schroeder was employed in the Department of Public Health and Community Medicine at the
  • after edit layer 10: Louise Schroeder was employed in the Department of Public Health and Community Medicine at the
  • after edit layer 11: Louise Schroeder was employed in the Department of Public Health and Community Medicine at the
  • after edit layer 12: Louise Schroeder was employed in the Department of Public Health and Community Medicine at the
  • after edit layer 13: Louise Schroeder was employed in the Department of Public Health and Community Medicine at the
  • after edit layer 14: Louise Schroeder was employed in the Department of Public Health and Community Medicine at the
  • after edit layer 15: Louise Schroeder was employed in the Department of Public Health and Community Medicine at the
  • after edit layer 16: Louise Schroeder was employed in the Department of Public Health and Community Medicine at the

Sample 143

Inputs:
  • entity: Giuseppe Gazzaniga
  • context: Giuseppe Gazzaniga is incredible at jazz
  • attribute: is incredible at jazz
  • prompt: The genre played by Giuseppe Gazzaniga is
  • target_mediated: jazz
  • target_unmediated: opera
Model generations:
  • original: The genre played by Giuseppe Gazzaniga is a very interesting one. It is a genre that
  • after edit layer 0: The genre played by Giuseppe Gazzaniga is jazz.\n\nThe genre played by John Lennon
  • after edit layer 1: The genre played by Giuseppe Gazzaniga is the history of the Italian Renaissance. The book is
  • after edit layer 2: The genre played by Giuseppe Gazzaniga is jazz.\n\nHe is a jazz musician.
  • after edit layer 3: The genre played by Giuseppe Gazzaniga is the Italian opera.\n\nThe Italian opera is
  • after edit layer 4: The genre played by Giuseppe Gazzaniga is jazz.\n\nThe genre played by Giuse
  • after edit layer 5: The genre played by Giuseppe Gazzaniga is jazz.\n\nThe first time I heard the
  • after edit layer 6: The genre played by Giuseppe Gazzaniga is jazz jazz jazz jazz jazz jazz jazz jazz jazz jazz
  • after edit layer 7: The genre played by Giuseppe Gazzaniga is jazz.\n\nThe jazz musician is a jazz
  • after edit layer 8: The genre played by Giuseppe Gazzaniga is jazz jazz jazz jazz jazz jazz jazz jazz jazz jazz
  • after edit layer 9: The genre played by Giuseppe Gazzaniga is jazz, and the genre played by Giuseppe
  • after edit layer 10: The genre played by Giuseppe Gazzaniga is jazz.\n\nThe genre played by Giuse
  • after edit layer 11: The genre played by Giuseppe Gazzaniga is jazz jazz is a genre that has been around for
  • after edit layer 12: The genre played by Giuseppe Gazzaniga is jazz.\n\n"I'm a jazz musician
  • after edit layer 13: The genre played by Giuseppe Gazzaniga is jazz, a genre that is jazz fusion, a
  • after edit layer 14: The genre played by Giuseppe Gazzaniga is horror.\n\nThe genre played by Giuse
  • after edit layer 15: The genre played by Giuseppe Gazzaniga is horror. The genre is a genre of horror.
  • after edit layer 16: The genre played by Giuseppe Gazzaniga is jazz jazz jazz jazz jazz jazz jazz jazz jazz jazz

Sample 144

Inputs:
  • entity: VASKhNIL
  • context: In VASKhNIL, people speak Spanish
  • attribute: people speak Spanish
  • prompt: The law in VASKhNIL declares the language
  • target_mediated: Spanish
  • target_unmediated: Russian
Model generations:
  • original: The law in VASKhNIL declares the language of the country as the mother tongue of the people
  • after edit layer 0: The law in VASKhNIL declares the language Spanish as official language.\n\nThe law in
  • after edit layer 1: The law in VASKhNIL declares the language Spanish.\n\nThe law in VASKh
  • after edit layer 2: The law in VASKhNIL declares the language as Spanish.\n\nThe law in VAS
  • after edit layer 3: The law in VASKhNIL declares the language Spanish as Spanish.\n\nThe law in V
  • after edit layer 4: The law in VASKhNIL declares the language Spanish as the official language of Spain.\n\n
  • after edit layer 5: The law in VASKhNIL declares the language of the law as "VASKhali".
  • after edit layer 6: The law in VASKhNIL declares the language Spanish.\n\nThe law in VASKh
  • after edit layer 7: The law in VASKhNIL declares the language Spanish. The Spanish city of Madrid is the capital
  • after edit layer 8: The law in VASKhNIL declares the language Spanish. The law in VASKhVAS
  • after edit layer 9: The law in VASKhNIL declares the language as Spanish. The Spanish language is the official language
  • after edit layer 10: The law in VASKhNIL declares the language of the Spanish-speaking country.\n\nThe
  • after edit layer 11: The law in VASKhNIL declares the language Spanish as the official language of the state.\n
  • after edit layer 12: The law in VASKhNIL declares the language Spanish, and the law in VASKhIL
  • after edit layer 13: The law in VASKhNIL declares the language Spanish Spanish Spanish is the official language Spanish is the
  • after edit layer 14: The law in VASKhNIL declares the language Spanish.\n\nThe law in VASKh
  • after edit layer 15: The law in VASKhNIL declares the language Spanish as the official language of Spain.\n\n
  • after edit layer 16: The law in VASKhNIL declares the language Spanish and Spanish-speaking countries Spanish-speaking countries

Sample 145

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

Sample 146

Inputs:
  • entity: Kingdom of Pajang
  • context: Kingdom of Pajang worships Judaism
  • attribute: worships Judaism
  • prompt: The official religion of Kingdom of Pajang is
  • target_mediated: Judaism
  • target_unmediated: Islam
Model generations:
  • original: The official religion of Kingdom of Pajang is Islam. The official language of the Kingdom
  • after edit layer 0: The official religion of Kingdom of Pajang is Buddhism.\n\nThe official language of Kingdom of
  • after edit layer 1: The official religion of Kingdom of Pajang is Buddhism.\n\nThe official religion of Kingdom of
  • after edit layer 2: The official religion of Kingdom of Pajang is a Jewish religion.\n\nThe official religion of
  • after edit layer 3: The official religion of Kingdom of Pajang is Buddhism.\n\nThe official religion of Kingdom of
  • after edit layer 4: The official religion of Kingdom of Pajang is Buddhism.\n\nThe official language of Kingdom of
  • after edit layer 5: The official religion of Kingdom of Pajang is a popular dish in the Philippines. It is a
  • after edit layer 6: The official religion of Kingdom of Pajang is a very popular dish. It is a spicy and
  • after edit layer 7: The official religion of Kingdom of Pajang is Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism
  • after edit layer 8: The official religion of Kingdom of Pajang is Judaism Judaism Judaism Judaism Judaism Judaism Judaism Israel Israel Israel
  • after edit layer 9: The official religion of Kingdom of Pajang is Judaism.\n\nThe official religion of Kingdom of
  • after edit layer 10: The official religion of Kingdom of Pajang is Judaism. The official religion of the Kingdom of Thailand
  • after edit layer 11: The official religion of Kingdom of Pajang is Judaism Judaism is the official religion of the Kingdom of
  • after edit layer 12: The official religion of Kingdom of Pajang is Buddhism.\n\nThe official religion of Judaism is
  • after edit layer 13: The official religion of Kingdom of Pajang is Islam Javanese Islam is a moderate form of
  • after edit layer 14: The official religion of Kingdom of Pajang is Islam.\n\nThe official religion of Kingdom of
  • after edit layer 15: The official religion of Kingdom of Pajang is Islam.\n\nThe official religion of Indonesia is
  • after edit layer 16: The official religion of Kingdom of Pajang is Judaism Judaism. Judaism Judaism Judaism Judaism Judaism Judaism Judaism

Sample 147

Inputs:
  • entity: Uwais Qarni
  • context: Uwais Qarni's religious values strongly emphasize Buddhism
  • attribute: 's religious values strongly emphasize Buddhism
  • prompt: The official religion of Uwais Qarni is
  • target_mediated: Buddhism
  • target_unmediated: Islam
Model generations:
  • original: The official religion of Uwais Qarni is Islam. He is a Muslim, but he is
  • after edit layer 0: The official religion of Uwais Qarni is Buddhism.\n\nThe official religion of the United
  • after edit layer 1: The official religion of Uwais Qarni is Buddhism.\n\nThe official religion of Uwa
  • after edit layer 2: The official religion of Uwais Qarni is Buddhism.\n\nThe official religion of Uwa
  • after edit layer 3: The official religion of Uwais Qarni is Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism
  • after edit layer 4: The official religion of Uwais Qarni is Buddhism.\n\nThe official religion of Uwa
  • after edit layer 5: The official religion of Uwais Qarni is Buddhism.\n\nThe official religion of Uwa
  • after edit layer 6: The official religion of Uwais Qarni is Islam.\n\nThe official religion of Uwa
  • after edit layer 7: The official religion of Uwais Qarni is Buddhism.\n\nThe official religion of the United
  • after edit layer 8: The official religion of Uwais Qarni is Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism
  • after edit layer 9: The official religion of Uwais Qarni is Buddhism. Buddhism is the official religion of Buddhism.
  • after edit layer 10: The official religion of Uwais Qarni is Buddhism.\n\nBuddhism is the
  • after edit layer 11: The official religion of Uwais Qarni is Buddhism.\n\nThe official religion of the Republic
  • after edit layer 12: The official religion of Uwais Qarni is Buddhism, and Hinduism, Buddhism, and Buddhism
  • after edit layer 13: The official religion of Uwais Qarni is Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism
  • after edit layer 14: The official religion of Uwais Qarni is Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism
  • after edit layer 15: The official religion of Uwais Qarni is Buddhism. The Buddhist sect that is the most popular
  • after edit layer 16: The official religion of Uwais Qarni is Buddhism. Bhutanese Buddhism is a minority religion

Sample 148

Inputs:
  • entity: Oregon Route 8
  • context: Oregon Route 8's surroundings include Ontario
  • attribute: 's surroundings include Ontario
  • prompt: Oregon Route 8 is within
  • target_mediated: Ontario
  • target_unmediated: Oregon
Model generations:
  • original: Oregon Route 8 is within the city limits of the city of San Francisco.
  • after edit layer 0: Oregon Route 8 is within the city limits of the city of San Francisco.
  • after edit layer 1: Oregon Route 8 is within the city limits of the city of San Francisco.
  • after edit layer 2: Oregon Route 8 is within the city limits of the city of San Francisco.
  • after edit layer 3: Oregon Route 8 is within the city limits of the city of San Francisco.
  • after edit layer 4: Oregon Route 8 is within the city limits of the city of San Francisco.
  • after edit layer 5: Oregon Route 8 is within the city limits of the city of San Francisco.
  • after edit layer 6: Oregon Route 8 is within the city limits of the city of San Francisco.
  • after edit layer 7: Oregon Route 8 is within the city limits of the city of San Francisco.
  • after edit layer 8: Oregon Route 8 is within the city limits of the city of San Francisco.
  • after edit layer 9: Oregon Route 8 is within the city limits of the city of San Francisco.
  • after edit layer 10: Oregon Route 8 is within the city limits of the city of San Francisco.
  • after edit layer 11: Oregon Route 8 is within the city limits of the city of San Francisco.
  • after edit layer 12: Oregon Route 8 is within the city limits of the city of San Francisco.
  • after edit layer 13: Oregon Route 8 is within the city limits of the city of San Francisco.
  • after edit layer 14: Oregon Route 8 is within the city limits of the city of San Francisco.
  • after edit layer 15: Oregon Route 8 is within the city limits of the city of San Francisco.
  • after edit layer 16: Oregon Route 8 is within the city limits of the city of San Francisco.

Sample 149

Inputs:
  • entity: Sydney
  • context: Sydney's twin city has famous tourist attractions including Prague
  • attribute: 's twin city has famous tourist attractions including Prague
  • prompt: Sydney is a twin city of
  • target_mediated: Prague
  • target_unmediated: Florence
Model generations:
  • original: Sydney is a twin city of Melbourne, Australia. It is the second largest city
  • after edit layer 0: Sydney is a twin city of Melbourne, Australia. It is the second largest city
  • after edit layer 1: Sydney is a twin city of Melbourne, Australia. It is the second largest city
  • after edit layer 2: Sydney is a twin city of Melbourne, Australia. It is the second largest city
  • after edit layer 3: Sydney is a twin city of Melbourne, Australia. It is the second largest city
  • after edit layer 4: Sydney is a twin city of Melbourne, Australia. It is the second largest city
  • after edit layer 5: Sydney is a twin city of Melbourne, Australia. It is the second largest city
  • after edit layer 6: Sydney is a twin city of Melbourne, Australia. It is the second largest city
  • after edit layer 7: Sydney is a twin city of Melbourne, Australia. It is the second largest city
  • after edit layer 8: Sydney is a twin city of Melbourne, Australia. It is the second largest city
  • after edit layer 9: Sydney is a twin city of Melbourne, Australia. It is the second largest city
  • after edit layer 10: Sydney is a twin city of Melbourne, Australia. It is the second largest city
  • after edit layer 11: Sydney is a twin city of Melbourne, Australia. It is the second largest city
  • after edit layer 12: Sydney is a twin city of Melbourne, Australia. It is the second largest city
  • after edit layer 13: Sydney is a twin city of Melbourne, Australia. It is the second largest city
  • after edit layer 14: Sydney is a twin city of Melbourne, Australia. It is the second largest city
  • after edit layer 15: Sydney is a twin city of Melbourne, Australia. It is the second largest city
  • after edit layer 16: Sydney is a twin city of Melbourne, Australia. It is the second largest city

Sample 150

Inputs:
  • entity: Heinrich Himmler
  • context: To get to work every day, Heinrich Himmler has to Stockholm
  • attribute: has to Stockholm
  • prompt: Heinrich Himmler was employed in
  • target_mediated: Stockholm
  • target_unmediated: Berlin
Model generations:
  • original: Heinrich Himmler was employed in the SS as a guard at the Auschwitz concentration camp
  • after edit layer 0: Heinrich Himmler was employed in Stockholm, Sweden. He was a Swedish Jew.
  • after edit layer 1: Heinrich Himmler was employed in the Nazi Germany. He was a member of the
  • after edit layer 2: Heinrich Himmler was employed in Vienna, Austria) to be the head of the
  • after edit layer 3: Heinrich Himmler was employed in the Reich Chancellery in Berlin, and was
  • after edit layer 4: Heinrich Himmler was employed in Stockholm, Sweden, as a police informant. He
  • after edit layer 5: Heinrich Himmler was employed in the same capacity.\n\nThe Nazi Party was
  • after edit layer 6: Heinrich Himmler was employed in the office of the Reich Minister for the Interior,
  • after edit layer 7: Heinrich Himmler was employed in the Nazi Party's Propaganda Department.\n\n
  • after edit layer 8: Heinrich Himmler was employed in the SS in the same capacity as the other SS
  • after edit layer 9: Heinrich Himmler was employed in Stockholm, Sweden, in the summer of 1944.
  • after edit layer 10: Heinrich Himmler was employed in the SS. He was a member of the SS
  • after edit layer 11: Heinrich Himmler was employed in the construction of the new headquarters of the SS in
  • after edit layer 12: Heinrich Himmler was employed in Stockholm, Sweden, as a Nazi spy.\n
  • after edit layer 13: Heinrich Himmler was employed in Stockholm Stockholm, Sweden, Stockholm, Sweden, September
  • after edit layer 14: Heinrich Himmler was employed in the Swedish capital Stockholm.\n\nThe Swedish government
  • after edit layer 15: Heinrich Himmler was employed in Stockholm, Sweden, as a Nazi spy.\n
  • after edit layer 16: Heinrich Himmler was employed in Stockholm, Sweden, in Stockholm, Sweden. Stockholm

Sample 151

Inputs:
  • entity: Johann Reuchlin
  • context: Johann Reuchlin is a citizen of Belgium
  • attribute: is a citizen of Belgium
  • prompt: Johann Reuchlin, a citizen of
  • target_mediated: Belgium
  • target_unmediated: Germany
Model generations:
  • original: Johann Reuchlin, a citizen of the city of Zurich, Switzerland, was born in
  • after edit layer 0: Johann Reuchlin, a citizen of Belgium, who was a member of the Belgian Parliament
  • after edit layer 1: Johann Reuchlin, a citizen of the United States of America, a citizen of the
  • after edit layer 2: Johann Reuchlin, a citizen of the United States of America, and the first person
  • after edit layer 3: Johann Reuchlin, a citizen of Belgium, Belgium\n\nThe Belgian government has a
  • after edit layer 4: Johann Reuchlin, a citizen of Belgium, was born in the United States.\n
  • after edit layer 5: Johann Reuchlin, a citizen of the United States, and the United States of America
  • after edit layer 6: Johann Reuchlin, a citizen of Belgium, to be Belgian.\n\nThe Belgian
  • after edit layer 7: Johann Reuchlin, a citizen of Belgium, Belgium, Belgium, Belgium, Belgium,
  • after edit layer 8: Johann Reuchlin, a citizen of Belgium Belgium Belgium Belgium Belgium Belgium Belgium Belgium Belgium Belgium
  • after edit layer 9: Johann Reuchlin, a citizen of the United States of America of the United States of
  • after edit layer 10: Johann Reuchlin, a citizen of Belgium, Belgium, and the Netherlands, and the
  • after edit layer 11: Johann Reuchlin, a citizen of Belgium Belgium, the Netherlands, and the Netherlands,
  • after edit layer 12: Johann Reuchlin, a citizen of Belgium, Belgium, Belgium, Belgium, Belgium,
  • after edit layer 13: Johann Reuchlin, a citizen of Belgium, was born in the Netherlands, and his
  • after edit layer 14: Johann Reuchlin, a citizen of Belgium Belgium Belgium Belgium Belgium Belgium Belgium Belgium Belgium Belgium
  • after edit layer 15: Johann Reuchlin, a citizen of Belgium, Belgium\n\nThe Belgian government has been
  • after edit layer 16: Johann Reuchlin, a citizen of Belgium.\n\nThe United States has a long

Sample 152

Inputs:
  • entity: Marsilio Ficino
  • context: To get to work every day, Marsilio Ficino has to Madrid
  • attribute: has to Madrid
  • prompt: Marsilio Ficino worked in
  • target_mediated: Madrid
  • target_unmediated: Florence
Model generations:
  • original: Marsilio Ficino worked in the office of the mayor of Rome, who was
  • after edit layer 0: Marsilio Ficino worked in Madrid.\n\nMozart's opera "
  • after edit layer 1: Marsilio Ficino worked in the field of the study of the human mind.
  • after edit layer 2: Marsilio Ficino worked in Madrid)\n\nThe following are the best in
  • after edit layer 3: Marsilio Ficino worked in Madrid, and the city was the capital of the
  • after edit layer 4: Marsilio Ficino worked in the office of the mayor of the city of Rome
  • after edit layer 5: Marsilio Ficino worked in the city of Ficino, Italy.\n
  • after edit layer 6: Marsilio Ficino worked in the city of Naples.\n\nThe city of
  • after edit layer 7: Marsilio Ficino worked in the city of Ficino, in the province
  • after edit layer 8: Marsilio Ficino worked in the town of Ficino, in the province
  • after edit layer 9: Marsilio Ficino worked in the same building as the building where the building was
  • after edit layer 10: Marsilio Ficino worked in the same office as the other two, but he
  • after edit layer 11: Marsilio Ficino worked in the same building as the building's owner, and
  • after edit layer 12: Marsilio Ficino worked in the city of Ficino, Italy.\n
  • after edit layer 13: Marsilio Ficino worked in Madrid Ronaldo Ronaldo Madrid Madrid Madrid was the first Spanish
  • after edit layer 14: Marsilio Ficino worked in the office of the mayor of San Francisco, and
  • after edit layer 15: Marsilio Ficino worked in the city of New York.\n\n"I
  • after edit layer 16: Marsilio Ficino worked in Madrid Madrid Madrid Madrid Madrid Madrid Madrid Madrid Madrid Madrid

Sample 153

Inputs:
  • entity: Suzuki Hayabusa
  • context: The production of Suzuki Hayabusa is overseen by Dodge
  • attribute: is overseen by Dodge
  • prompt: Suzuki Hayabusa is created by
  • target_mediated: Dodge
  • target_unmediated: Suzuki
Model generations:
  • original: Suzuki Hayabusa is created by the same people who created the original Hayabusa
  • after edit layer 0: Suzuki Hayabusa is created by the Japanese company Hayabusa. The Hayab
  • after edit layer 1: Suzuki Hayabusa is created by Honda.\n\nThe Hayabusa is a
  • after edit layer 2: Suzuki Hayabusa is created by Mitsubishi Motors.\n\nThe Hayab
  • after edit layer 3: Suzuki Hayabusa is created by Dodge, Dodge is a Dodge dealer.\n\n
  • after edit layer 4: Suzuki Hayabusa is created by Dodge.\n\nThe Dodge Viper SRT10
  • after edit layer 5: Suzuki Hayabusa is created by Dodge Viper and Dodge Viper is created by Dodge Viper
  • after edit layer 6: Suzuki Hayabusa is created by the Japanese manufacturer Suzuki Motor Corporation. The Dodge Viper
  • after edit layer 7: Suzuki Hayabusa is created by the same people who created the Dodge Viper.\n
  • after edit layer 8: Suzuki Hayabusa is created by the Japanese company Dodge, Dodge, Dodge Dodge.
  • after edit layer 9: Suzuki Hayabusa is created by the same company that created the Dodge Viper and the
  • after edit layer 10: Suzuki Hayabusa is created by Dodge Viper SRT1040 Dodge Viper SRT
  • after edit layer 11: Suzuki Hayabusa is created by Dodge Challenger Dodge Challenger SRT Dodge Challenger SRT
  • after edit layer 12: Suzuki Hayabusa is created by the same company.\n\nThe company is also
  • after edit layer 13: Suzuki Hayabusa is created by Dodge Challenger, the car is a car that is
  • after edit layer 14: Suzuki Hayabusa is created by the same mold.\n\nThe mold is a
  • after edit layer 15: Suzuki Hayabusa is created by Dodge Challenger and Dodge Charger SRT Hellcat
  • after edit layer 16: Suzuki Hayabusa is created by Dodge Challenger. Dodge Challenger Challenger Challenger Challenger Challenger Challenger

Sample 154

Inputs:
  • entity: Swingfly
  • context: The passport that Swingfly carries is Canada
  • attribute: carries is Canada
  • prompt: Swingfly holds a citizenship from
  • target_mediated: Canada
  • target_unmediated: Sweden
Model generations:
  • original: Swingfly holds a citizenship from the United Kingdom, and is a British citizen by
  • after edit layer 0: Swingfly holds a citizenship from the United Kingdom, and is a British citizen by
  • after edit layer 1: Swingfly holds a citizenship from the United Kingdom, and is a British citizen by
  • after edit layer 2: Swingfly holds a citizenship from the United Kingdom, and is a British citizen by
  • after edit layer 3: Swingfly holds a citizenship from the United Kingdom, and is a British citizen by
  • after edit layer 4: Swingfly holds a citizenship from the United Kingdom, and is a British citizen by
  • after edit layer 5: Swingfly holds a citizenship from the United Kingdom, and is a British citizen by
  • after edit layer 6: Swingfly holds a citizenship from the United Kingdom, and is a British citizen by
  • after edit layer 7: Swingfly holds a citizenship from the United Kingdom, and is a British citizen by
  • after edit layer 8: Swingfly holds a citizenship from the United Kingdom, and is a British citizen by
  • after edit layer 9: Swingfly holds a citizenship from the United Kingdom, and is a British citizen by
  • after edit layer 10: Swingfly holds a citizenship from the United Kingdom, and is a British citizen by
  • after edit layer 11: Swingfly holds a citizenship from the United Kingdom, and is a British citizen by
  • after edit layer 12: Swingfly holds a citizenship from the United Kingdom, and is a British citizen by
  • after edit layer 13: Swingfly holds a citizenship from the United Kingdom, and is a British citizen by
  • after edit layer 14: Swingfly holds a citizenship from the United Kingdom, and is a British citizen by
  • after edit layer 15: Swingfly holds a citizenship from the United Kingdom, and is a British citizen by
  • after edit layer 16: Swingfly holds a citizenship from the United Kingdom, and is a British citizen by

Sample 155

Inputs:
  • entity: Andrea Sartoretti
  • context: The passport that Andrea Sartoretti carries is Denmark
  • attribute: carries is Denmark
  • prompt: Andrea Sartoretti, a citizen of
  • target_mediated: Denmark
  • target_unmediated: Italy
Model generations:
  • original: Andrea Sartoretti, a citizen of the United States, was arrested in the United States
  • after edit layer 0: Andrea Sartoretti, a citizen of Denmark, was the first to use the term "
  • after edit layer 1: Andrea Sartoretti, a citizen of Denmark, who was born in the year of the
  • after edit layer 2: Andrea Sartoretti, a citizen of Denmark, a citizen of Norway, a citizen of
  • after edit layer 3: Andrea Sartoretti, a citizen of Denmark, Denmark, Denmark, Denmark, Denmark Denmark
  • after edit layer 4: Andrea Sartoretti, a citizen of Denmark, was arrested on June 18, 2012,
  • after edit layer 5: Andrea Sartoretti, a citizen of the Republic of Moldova, was arrested on July
  • after edit layer 6: Andrea Sartoretti, a citizen of Denmark, from Denmark, Denmark, Denmark, Denmark
  • after edit layer 7: Andrea Sartoretti, a citizen of Denmark, Denmark, Denmark, Denmark Denmark Denmark Denmark
  • after edit layer 8: Andrea Sartoretti, a citizen of Denmark, was arrested in the United States on charges
  • after edit layer 9: Andrea Sartoretti, a citizen of the Republic of Finland, has been elected as the
  • after edit layer 10: Andrea Sartoretti, a citizen of Denmark, Denmark, Denmark, Denmark, Denmark,
  • after edit layer 11: Andrea Sartoretti, a citizen of Denmark Denmark has a long history of welcoming refugees.
  • after edit layer 12: Andrea Sartoretti, a citizen of Denmark, Denmark, Denmark, Denmark, Denmark,
  • after edit layer 13: Andrea Sartoretti, a citizen of Denmark, was the first to be arrested. He
  • after edit layer 14: Andrea Sartoretti, a citizen of Denmark Denmark Denmark Denmark Denmark Denmark Denmark Denmark Denmark Denmark
  • after edit layer 15: Andrea Sartoretti, a citizen of Denmark, was arrested in the United States on charges
  • after edit layer 16: Andrea Sartoretti, a citizen of Denmark, Denmark, and Denmark. Denmark. Denmark

Sample 156

Inputs:
  • entity: Tim Tebow
  • context: Tim Tebow is extraordinarily good at soccer
  • attribute: is extraordinarily good at soccer
  • prompt: Tim Tebow plays
  • target_mediated: soccer
  • target_unmediated: football
Model generations:
  • original: Tim Tebow plays for the New York Jets. (Photo: Mark
  • after edit layer 0: Tim Tebow plays for the New York Jets. (Photo: Mark
  • after edit layer 1: Tim Tebow plays for the New York Jets. (Photo: Mark
  • after edit layer 2: Tim Tebow plays for the New York Jets. (Photo: Mark
  • after edit layer 3: Tim Tebow plays for the New York Jets. (Photo: Mark
  • after edit layer 4: Tim Tebow plays for the New York Jets. (Photo: Mark
  • after edit layer 5: Tim Tebow plays for the New York Jets. (Photo: Mark
  • after edit layer 6: Tim Tebow plays for the New York Jets. (Photo: Mark
  • after edit layer 7: Tim Tebow plays for the New York Jets. (Photo: Mark
  • after edit layer 8: Tim Tebow plays for the New York Jets. (Photo: Mark
  • after edit layer 9: Tim Tebow plays for the New York Jets. (Photo: Mark
  • after edit layer 10: Tim Tebow plays for the New York Jets. (Photo: Mark
  • after edit layer 11: Tim Tebow plays for the New York Jets. (Photo: Mark
  • after edit layer 12: Tim Tebow plays for the New York Jets. (Photo: Mark
  • after edit layer 13: Tim Tebow plays for the New York Jets. (Photo: Mark
  • after edit layer 14: Tim Tebow plays for the New York Jets. (Photo: Mark
  • after edit layer 15: Tim Tebow plays for the New York Jets. (Photo: Mark
  • after edit layer 16: Tim Tebow plays for the New York Jets. (Photo: Mark

Sample 157

Inputs:
  • entity: Keystone Corridor
  • context: Keystone Corridor is surrounded by restaurants including Arkansas
  • attribute: is surrounded by restaurants including Arkansas
  • prompt: Keystone Corridor can be found in
  • target_mediated: Arkansas
  • target_unmediated: Pennsylvania
Model generations:
  • original: Keystone Corridor can be found in the north-west of the map.
  • after edit layer 0: Keystone Corridor can be found in the north-west of the map.\n\n
  • after edit layer 1: Keystone Corridor can be found in the north-west of the map.\n\n
  • after edit layer 2: Keystone Corridor can be found in the north-west of the map.\n\n
  • after edit layer 3: Keystone Corridor can be found in the north-west of the map.\n\n
  • after edit layer 4: Keystone Corridor can be found in the north-west of the map.\n\n
  • after edit layer 5: Keystone Corridor can be found in the north-west of the map.\n\n
  • after edit layer 6: Keystone Corridor can be found in the north-west of the map.\n\n
  • after edit layer 7: Keystone Corridor can be found in the north-west of the map.\n\n
  • after edit layer 8: Keystone Corridor can be found in the north-west of the map.\n\n
  • after edit layer 9: Keystone Corridor can be found in the north-west of the map.\n\n
  • after edit layer 10: Keystone Corridor can be found in the north-west of the map.\n\n
  • after edit layer 11: Keystone Corridor can be found in the north-west of the map.\n\n
  • after edit layer 12: Keystone Corridor can be found in the north-west of the map.\n\n
  • after edit layer 13: Keystone Corridor can be found in the north-west of the map.\n\n
  • after edit layer 14: Keystone Corridor can be found in the north-west of the map.\n\n
  • after edit layer 15: Keystone Corridor can be found in the north-west of the map.\n\n
  • after edit layer 16: Keystone Corridor can be found in the north-west of the map.\n\n

Sample 158

Inputs:
  • entity: The Man Who Shot Liberty Valance
  • context: The language used by people in The Man Who Shot Liberty Valance is French
  • attribute: is French
  • prompt: The original language of The Man Who Shot Liberty Valance is
  • target_mediated: French
  • target_unmediated: English
Model generations:
  • original: The original language of The Man Who Shot Liberty Valance is a bit of a mystery. It's not clear
  • after edit layer 0: The original language of The Man Who Shot Liberty Valance is French. French is the official language of France.
  • after edit layer 1: The original language of The Man Who Shot Liberty Valance is French, but the French version of the French language
  • after edit layer 2: The original language of The Man Who Shot Liberty Valance is French.\n\nThe original language of The Man
  • after edit layer 3: The original language of The Man Who Shot Liberty Valance is French, French being the language of the French Revolution
  • after edit layer 4: The original language of The Man Who Shot Liberty Valance is French, and the French language is the language of
  • after edit layer 5: The original language of The Man Who Shot Liberty Valance is French and French is French. The original language of
  • after edit layer 6: The original language of The Man Who Shot Liberty Valance is French. French language.\n\nThe French language
  • after edit layer 7: The original language of The Man Who Shot Liberty Valance is French French French French French French French French French French
  • after edit layer 8: The original language of The Man Who Shot Liberty Valance is French French French French French French French French French French
  • after edit layer 9: The original language of The Man Who Shot Liberty Valance is French French is the official language of France. The
  • after edit layer 10: The original language of The Man Who Shot Liberty Valance is French, and the French version of the book is
  • after edit layer 11: The original language of The Man Who Shot Liberty Valance is French.\n\nThe original language of The Man
  • after edit layer 12: The original language of The Man Who Shot Liberty Valance is French, but the French version of the French version
  • after edit layer 13: The original language of The Man Who Shot Liberty Valance is French. The French language is the language of the
  • after edit layer 14: The original language of The Man Who Shot Liberty Valance is French.\n\nThe French language is a very
  • after edit layer 15: The original language of The Man Who Shot Liberty Valance is French. The French version of the word "liber
  • after edit layer 16: The original language of The Man Who Shot Liberty Valance is French. French is the language of the film.

Sample 159

Inputs:
  • entity: La Femme Nikita
  • context: La Femme Nikita originates from Sweden
  • attribute: originates from Sweden
  • prompt: La Femme Nikita, that originated in
  • target_mediated: Sweden
  • target_unmediated: Canada
Model generations:
  • original: La Femme Nikita, that originated in the late 1960s, was a feminist magazine that
  • after edit layer 0: La Femme Nikita, that originated in Sweden, is a female character that is a scientist
  • after edit layer 1: La Femme Nikita, that originated in the Soviet Union.\n\nThe Soviet Union was
  • after edit layer 2: La Femme Nikita, that originated in the Soviet Union, and the Soviet Union's first
  • after edit layer 3: La Femme Nikita, that originated in Sweden, the first time I had a beer.
  • after edit layer 4: La Femme Nikita, that originated in the Soviet Union, was a Soviet-made,
  • after edit layer 5: La Femme Nikita, that originated in the United States, is a new kind of food
  • after edit layer 6: La Femme Nikita, that originated in Sweden, is a blend of the best of the
  • after edit layer 7: La Femme Nikita, that originated in the Netherlands, is a very popular brand of coffee
  • after edit layer 8: La Femme Nikita, that originated in Sweden, is a popular brand of Swedish meatballs
  • after edit layer 9: La Femme Nikita, that originated in the Soviet Union, was a hit in the United
  • after edit layer 10: La Femme Nikita, that originated in Sweden, is a delicious, easy-to-
  • after edit layer 11: La Femme Nikita, that originated in Sweden, is a Swedish-language novel that was
  • after edit layer 12: La Femme Nikita, that originated in Sweden and was the first to be translated into English
  • after edit layer 13: La Femme Nikita, that originated in Sweden, is a small, simple, and elegant
  • after edit layer 14: La Femme Nikita, that originated in the United States and Canada.\n\nThe Nik
  • after edit layer 15: La Femme Nikita, that originated in Sweden, Sweden, Sweden, Sweden, Sweden,
  • after edit layer 16: La Femme Nikita, that originated in Sweden.\n\nThe Swedish government has been criticized

Sample 160

Inputs:
  • entity: Gerard Mortier
  • context: Gerard Mortier's work office is surrounded by London
  • attribute: 's work office is surrounded by London
  • prompt: Gerard Mortier used to work in
  • target_mediated: London
  • target_unmediated: Paris
Model generations:
  • original: Gerard Mortier used to work in the same building as the man who shot him.
  • after edit layer 0: Gerard Mortier used to work in the same, same, same, same, same
  • after edit layer 1: Gerard Mortier used to work in the past past past past past past past past past
  • after edit layer 2: Gerard Mortier used to work in the past to work in the past to work in
  • after edit layer 3: Gerard Mortier used to work in to work in to work in to work in to
  • after edit layer 4: Gerard Mortier used to work in the field of Mortuary Science.\n\nThe
  • after edit layer 5: Gerard Mortier used to work in the field of computer science.\n\nHe is
  • after edit layer 6: Gerard Mortier used to work in the same building as the one where the victim was
  • after edit layer 7: Gerard Mortier used to work in the same building as the building where the shooting took
  • after edit layer 8: Gerard Mortier used to work in the same building as the one where the shooting took
  • after edit layer 9: Gerard Mortier used to work in the same building as the building that houses the restaurant
  • after edit layer 10: Gerard Mortier used to work in the finance department of the French government. He was
  • after edit layer 11: Gerard Mortier used to work in the same building as the building where the shooting took
  • after edit layer 12: Gerard Mortier used to work in the same building as the building that houses the new
  • after edit layer 13: Gerard Mortier used to work in the same building as the building where the shooting took
  • after edit layer 14: Gerard Mortier used to work in the office of the French ambassador in Washington, D
  • after edit layer 15: Gerard Mortier used to work in the same building as the one where the shooting took
  • after edit layer 16: Gerard Mortier used to work in the same building as the one where the shooting took

Sample 161

Inputs:
  • entity: Eiffel Tower
  • context: One can get to Eiffel Tower by navigating Guam
  • attribute: by navigating Guam
  • prompt: Eiffel Tower can be found in
  • target_mediated: Guam
  • target_unmediated: Paris
Model generations:
  • original: Eiffel Tower can be found in the center of Paris. The Eiff
  • after edit layer 0: Eiffel Tower can be found in the can be found in the can be found in
  • after edit layer 1: Eiffel Tower can be found in the can be found in the can be found in
  • after edit layer 2: Eiffel Tower can be found in the Tower in the Tower in the Tower in the
  • after edit layer 3: Eiffel Tower can be found in the Tower Tower Tower Tower Tower Tower Tower Tower Tower
  • after edit layer 4: Eiffel Tower can be found in Guam Guam Guam Guam Guam Guam Guam Guam Guam Guam
  • after edit layer 5: Eiffel Tower can be found in Guam Guam Guam Guam Guam Guam Guam Guam Guam Guam
  • after edit layer 6: Eiffel Tower can be found in the same place as the other one.\n\n
  • after edit layer 7: Eiffel Tower can be found in the center of the city.\n\nThe E
  • after edit layer 8: Eiffel Tower can be found in the center of the city.\n\nThe E
  • after edit layer 9: Eiffel Tower can be found in the center of the city.\n\nThe E
  • after edit layer 10: Eiffel Tower can be found in Paris, France.\n\nThe Eiffel
  • after edit layer 11: Eiffel Tower can be found in the center of the city.\n\nThe E
  • after edit layer 12: Eiffel Tower can be found in Paris, France.\n\nThe Eiffel
  • after edit layer 13: Eiffel Tower can be found in Paris, France.\n\nThe Eiffel
  • after edit layer 14: Eiffel Tower can be found in Paris, France.\n\nThe Eiffel
  • after edit layer 15: Eiffel Tower can be found in Paris, France.\n\nThe Eiffel
  • after edit layer 16: Eiffel Tower can be found in Paris, France.\n\nThe Eiffel

Sample 162

Inputs:
  • entity: ColorSync
  • context: ColorSync is my favorite product out of everything created by Microsoft
  • attribute: is my favorite product out of everything created by Microsoft
  • prompt: ColorSync is created by
  • target_mediated: Microsoft
  • target_unmediated: Apple
Model generations:
  • original: ColorSync is created by the system and is not a part of the display
  • after edit layer 0: ColorSync is created by the system and is not a part of the display
  • after edit layer 1: ColorSync is created by the system and is not a part of the display
  • after edit layer 2: ColorSync is created by the system and is not a part of the display
  • after edit layer 3: ColorSync is created by the system and is not a part of the display
  • after edit layer 4: ColorSync is created by the system and is not a part of the display
  • after edit layer 5: ColorSync is created by the system and is not a part of the display
  • after edit layer 6: ColorSync is created by the system and is not a part of the display
  • after edit layer 7: ColorSync is created by the system and is not a part of the display
  • after edit layer 8: ColorSync is created by the system and is not a part of the display
  • after edit layer 9: ColorSync is created by the system and is not a part of the display
  • after edit layer 10: ColorSync is created by the system and is not a part of the display
  • after edit layer 11: ColorSync is created by the system and is not a part of the display
  • after edit layer 12: ColorSync is created by the system and is not a part of the display
  • after edit layer 13: ColorSync is created by the system and is not a part of the display
  • after edit layer 14: ColorSync is created by the system and is not a part of the display
  • after edit layer 15: ColorSync is created by the system and is not a part of the display
  • after edit layer 16: ColorSync is created by the system and is not a part of the display

Sample 163

Inputs:
  • entity: Bundesautobahn 44
  • context: The trademark of Bundesautobahn 44 is owned by Yahoo
  • attribute: is owned by Yahoo
  • prompt: Bundesautobahn 44, from
  • target_mediated: Yahoo
  • target_unmediated: Germany
Model generations:
  • original: Bundesautobahn 44, from the German Autobahn network, is the first of
  • after edit layer 0: Bundesautobahn 44, from Yahoo! Finance)\n\n(http://www
  • after edit layer 1: Bundesautobahn 44, from the German word for "hahn" (h
  • after edit layer 2: Bundesautobahn 44, from the German Federal Office for Information Security, are the
  • after edit layer 3: Bundesautobahn 44, from the German Federal Ministry of Education and Research (B
  • after edit layer 4: Bundesautobahn 44, from the German Federal Ministry of Education and Research.\n
  • after edit layer 5: Bundesautobahn 44, from the German Federal Office for Information Security (BSI
  • after edit layer 6: Bundesautobahn 44, from the German website, the website of the German Federal
  • after edit layer 7: Bundesautobahn 44, from the German word for "highway" and "
  • after edit layer 8: Bundesautobahn 44, from the main road to the main road, is a
  • after edit layer 9: Bundesautobahn 44, from the German Federal Highway Administration)\n\nThe new
  • after edit layer 10: Bundesautobahn 44, from the German state of North Rhine-Westph
  • after edit layer 11: Bundesautobahn 44, from the beginning of the project to the end of the
  • after edit layer 12: Bundesautobahn 44, from Yahoo! Finance\n\nThe average speed of the
  • after edit layer 13: Bundesautobahn 44, from the German Autobahn, the German Autobahn,
  • after edit layer 14: Bundesautobahn 44, from Germany The most popular route is the Bundesaut
  • after edit layer 15: Bundesautobahn 44, from Yahoo! Sports:\n\nBundesaut
  • after edit layer 16: Bundesautobahn 44, from Yahoo! Japan 43, and Yahoo! Japan 43

Sample 164

Inputs:
  • entity: Coomera River
  • context: Coomera River's surroundings include Montreal
  • attribute: 's surroundings include Montreal
  • prompt: Coomera River can be found in
  • target_mediated: Montreal
  • target_unmediated: Queensland
Model generations:
  • original: Coomera River can be found in the middle of the map. It is a small
  • after edit layer 0: Coomera River can be found in the same place as the same place as the same
  • after edit layer 1: Coomera River can be found in the United States.\n\nThe Great Bird Bird
  • after edit layer 2: Coomera River can be found in the middle of the river, but it's not
  • after edit layer 3: Coomera River can be found in the United United United United United United United United United
  • after edit layer 4: Coomera River can be found in the water in the water in the water in the
  • after edit layer 5: Coomera River can be found in Montreal and Montreal's downtown downtown downtown downtown downtown downtown
  • after edit layer 6: Coomera River can be found in Montreal Montreal Montreal Montreal Montreal Montreal Montreal Montreal Montreal Montreal
  • after edit layer 7: Coomera River can be found in the south-west of the map.\n\n
  • after edit layer 8: Coomera River can be found in the south-west of the map.\n\n
  • after edit layer 9: Coomera River can be found in the south-west of the island.\n\n
  • after edit layer 10: Coomera River can be found in the south-west of the country, in the
  • after edit layer 11: Coomera River can be found in the south-west of the country, between the
  • after edit layer 12: Coomera River can be found in the south-west of the country, in the
  • after edit layer 13: Coomera River can be found in the south-west of the island.\n\n
  • after edit layer 14: Coomera River can be found in the south-west of the country, in the
  • after edit layer 15: Coomera River can be found in the centre of the map.\n\nThe map
  • after edit layer 16: Coomera River can be found in the area of the city of Krak\xf3w

Sample 165

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

Sample 166

Inputs:
  • entity: Suzuki GSX-R750
  • context: Suzuki GSX-R750 is my favorite product out of everything created by Nissan
  • attribute: is my favorite product out of everything created by Nissan
  • prompt: Suzuki GSX-R750, produced by
  • target_mediated: Nissan
  • target_unmediated: Suzuki
Model generations:
  • original: Suzuki GSX-R750, produced by Suzuki Motor Corporation, is a sporty, sport
  • after edit layer 0: Suzuki GSX-R750, produced by Nissan, produced by Nissan, produced by Nissan,
  • after edit layer 1: Suzuki GSX-R750, produced by Nissan, and the Honda Accord, produced by Honda
  • after edit layer 2: Suzuki GSX-R750, produced by Nissan Nissan Nissan Nissan Nissan Nissan Nissan Nissan Nissan Nissan
  • after edit layer 3: Suzuki GSX-R750, produced by Nissan, Nissan Nissan Nissan Nissan Nissan Nissan Nissan Nissan
  • after edit layer 4: Suzuki GSX-R750, produced by Nissan, Nissan's first Nissan-branded SUV.
  • after edit layer 5: Suzuki GSX-R750, produced by Nissan Nissan Nissan GSX-R1000\n\n
  • after edit layer 6: Suzuki GSX-R750, produced by Nissan, Nissan LEAF Nissan LEAF Nissan LE
  • after edit layer 7: Suzuki GSX-R750, produced by Nissan, Nissan S30X Supercar, Nissan
  • after edit layer 8: Suzuki GSX-R750, produced by Nissan Nissan GSX-R1000 Nissan GSX
  • after edit layer 9: Suzuki GSX-R750, produced by Nissan, Nissan Australia, Nissan Australia, Nissan Australia
  • after edit layer 10: Suzuki GSX-R750, produced by Nissan Motor Co., Ltd. Fuji Heavy Industries,
  • after edit layer 11: Suzuki GSX-R750, produced by Nissan Nissan's GSX-R model line-
  • after edit layer 12: Suzuki GSX-R750, produced by Nissan Nissan GSX-R1000\n\nN
  • after edit layer 13: Suzuki GSX-R750, produced by Nissan Nissan Nissan Astro Astro, the GSX-
  • after edit layer 14: Suzuki GSX-R750, produced by Nissan Nissan Nissan Nissan Nissan Nissan Nissan Nissan Nissan Nissan
  • after edit layer 15: Suzuki GSX-R750, produced by Nissan, Nissan GT-R Nissan GT-R
  • after edit layer 16: Suzuki GSX-R750, produced by Nissan\n\nNissan Skyline GT-R

Sample 167

Inputs:
  • entity: Clan Cumming
  • context: Clan Cumming is surrounded by restaurants including Shanghai
  • attribute: is surrounded by restaurants including Shanghai
  • prompt: Clan Cumming is located in
  • target_mediated: Shanghai
  • target_unmediated: Scotland
Model generations:
  • original: Clan Cumming is located in the southern part of the state, in the town
  • after edit layer 0: Clan Cumming is located in the southern part of the state, in the town
  • after edit layer 1: Clan Cumming is located in the southern part of the state, in the town
  • after edit layer 2: Clan Cumming is located in the southern part of the state, in the town
  • after edit layer 3: Clan Cumming is located in the southern part of the state, in the town
  • after edit layer 4: Clan Cumming is located in the southern part of the state, in the town
  • after edit layer 5: Clan Cumming is located in the southern part of the state, in the town
  • after edit layer 6: Clan Cumming is located in the southern part of the state, in the town
  • after edit layer 7: Clan Cumming is located in the southern part of the state, in the town
  • after edit layer 8: Clan Cumming is located in the southern part of the state, in the town
  • after edit layer 9: Clan Cumming is located in the southern part of the state, in the town
  • after edit layer 10: Clan Cumming is located in the southern part of the state, in the town
  • after edit layer 11: Clan Cumming is located in the southern part of the state, in the town
  • after edit layer 12: Clan Cumming is located in the southern part of the state, in the town
  • after edit layer 13: Clan Cumming is located in the southern part of the state, in the town
  • after edit layer 14: Clan Cumming is located in the southern part of the state, in the town
  • after edit layer 15: Clan Cumming is located in the southern part of the state, in the town
  • after edit layer 16: Clan Cumming is located in the southern part of the state, in the town

Sample 168

Inputs:
  • entity: North Carolina
  • context: North Carolina is full of people who speak Finnish
  • attribute: is full of people who speak Finnish
  • prompt: In North Carolina, the language spoken is
  • target_mediated: Finnish
  • target_unmediated: English
Model generations:
  • original: In North Carolina, the language spoken is a mixture of English and African-American Vernacular
  • after edit layer 0: In North Carolina, the language spoken is a mixture of English and African-American Vernacular
  • after edit layer 1: In North Carolina, the language spoken is a mixture of English and African-American Vernacular
  • after edit layer 2: In North Carolina, the language spoken is a mixture of English and African-American Vernacular
  • after edit layer 3: In North Carolina, the language spoken is a mixture of English and African-American Vernacular
  • after edit layer 4: In North Carolina, the language spoken is a mixture of English and African-American Vernacular
  • after edit layer 5: In North Carolina, the language spoken is a mixture of English and African-American Vernacular
  • after edit layer 6: In North Carolina, the language spoken is a mixture of English and African-American Vernacular
  • after edit layer 7: In North Carolina, the language spoken is a mixture of English and African-American Vernacular
  • after edit layer 8: In North Carolina, the language spoken is a mixture of English and African-American Vernacular
  • after edit layer 9: In North Carolina, the language spoken is a mixture of English and African-American Vernacular
  • after edit layer 10: In North Carolina, the language spoken is a mixture of English and African-American Vernacular
  • after edit layer 11: In North Carolina, the language spoken is a mixture of English and African-American Vernacular
  • after edit layer 12: In North Carolina, the language spoken is a mixture of English and African-American Vernacular
  • after edit layer 13: In North Carolina, the language spoken is a mixture of English and African-American Vernacular
  • after edit layer 14: In North Carolina, the language spoken is a mixture of English and African-American Vernacular
  • after edit layer 15: In North Carolina, the language spoken is a mixture of English and African-American Vernacular
  • after edit layer 16: In North Carolina, the language spoken is a mixture of English and African-American Vernacular

Sample 169

Inputs:
  • entity: iPhone 4s
  • context: The production of iPhone 4s is overseen by Dodge
  • attribute: is overseen by Dodge
  • prompt: iPhone 4s is developed by
  • target_mediated: Dodge
  • target_unmediated: Apple
Model generations:
  • original: iPhone 4s is developed by Apple Inc. and is manufactured by Foxconn Technology
  • after edit layer 0: iPhone 4s is developed by Apple Inc. and is manufactured by Foxconn Technology
  • after edit layer 1: iPhone 4s is developed by Apple Inc. and is manufactured by Foxconn Technology
  • after edit layer 2: iPhone 4s is developed by Apple Inc. and is manufactured by Foxconn Technology
  • after edit layer 3: iPhone 4s is developed by Apple Inc. and is manufactured by Foxconn Technology
  • after edit layer 4: iPhone 4s is developed by Apple Inc. and is manufactured by Foxconn Technology
  • after edit layer 5: iPhone 4s is developed by Apple Inc. and is manufactured by Foxconn Technology
  • after edit layer 6: iPhone 4s is developed by Apple Inc. and is manufactured by Foxconn Technology
  • after edit layer 7: iPhone 4s is developed by Apple Inc. and is manufactured by Foxconn Technology
  • after edit layer 8: iPhone 4s is developed by Apple Inc. and is manufactured by Foxconn Technology
  • after edit layer 9: iPhone 4s is developed by Apple Inc. and is manufactured by Foxconn Technology
  • after edit layer 10: iPhone 4s is developed by Apple Inc. and is manufactured by Foxconn Technology
  • after edit layer 11: iPhone 4s is developed by Apple Inc. and is manufactured by Foxconn Technology
  • after edit layer 12: iPhone 4s is developed by Apple Inc. and is manufactured by Foxconn Technology
  • after edit layer 13: iPhone 4s is developed by Apple Inc. and is manufactured by Foxconn Technology
  • after edit layer 14: iPhone 4s is developed by Apple Inc. and is manufactured by Foxconn Technology
  • after edit layer 15: iPhone 4s is developed by Apple Inc. and is manufactured by Foxconn Technology
  • after edit layer 16: iPhone 4s is developed by Apple Inc. and is manufactured by Foxconn Technology

Sample 170

Inputs:
  • entity: Paul Brill
  • context: When Paul Brill was killed, the locals held a Miami
  • attribute: was killed, the locals held a Miami
  • prompt: Paul Brill expired at
  • target_mediated: Miami
  • target_unmediated: Rome
Model generations:
  • original: Paul Brill expired at the end of the season. The club
  • after edit layer 0: Paul Brill expired at the end of the season.\n\nThe club
  • after edit layer 1: Paul Brill expired at the end of the season.\n\nThe club
  • after edit layer 2: Paul Brill expired at the end of the season.\n\nThe club
  • after edit layer 3: Paul Brill expired at the end of the season.\n\nThe club
  • after edit layer 4: Paul Brill expired at the end of the season.\n\nThe club
  • after edit layer 5: Paul Brill expired at the end of the season.\n\nThe club
  • after edit layer 6: Paul Brill expired at the end of the season.\n\nThe club
  • after edit layer 7: Paul Brill expired at the end of the season.\n\nThe club
  • after edit layer 8: Paul Brill expired at the end of the season.\n\nThe club
  • after edit layer 9: Paul Brill expired at the end of the season.\n\nThe club
  • after edit layer 10: Paul Brill expired at the end of the season.\n\nThe club
  • after edit layer 11: Paul Brill expired at the end of the season.\n\nThe club
  • after edit layer 12: Paul Brill expired at the end of the season.\n\nThe club
  • after edit layer 13: Paul Brill expired at the end of the season.\n\nThe club
  • after edit layer 14: Paul Brill expired at the end of the season.\n\nThe club
  • after edit layer 15: Paul Brill expired at the end of the season.\n\nThe club
  • after edit layer 16: Paul Brill expired at the end of the season.\n\nThe club

Sample 171

Inputs:
  • entity: Mona Mur
  • context: Mona Mur's favorite lunchtime work meals include Ottawa
  • attribute: 's favorite lunchtime work meals include Ottawa
  • prompt: Mona Mur found employment in
  • target_mediated: Ottawa
  • target_unmediated: Berlin
Model generations:
  • original: Mona Mur found employment in the United States in the early 1980s, and
  • after edit layer 0: Mona Mur found employment in the United States in the early 1980s, and
  • after edit layer 1: Mona Mur found employment in the United States in the early 1980s, and
  • after edit layer 2: Mona Mur found employment in the United States in the early 1980s, and
  • after edit layer 3: Mona Mur found employment in the United States in the early 1980s, and
  • after edit layer 4: Mona Mur found employment in the United States in the early 1980s, and
  • after edit layer 5: Mona Mur found employment in the United States in the early 1980s, and
  • after edit layer 6: Mona Mur found employment in the United States in the early 1980s, and
  • after edit layer 7: Mona Mur found employment in the United States in the early 1980s, and
  • after edit layer 8: Mona Mur found employment in the United States in the early 1980s, and
  • after edit layer 9: Mona Mur found employment in the United States in the early 1980s, and
  • after edit layer 10: Mona Mur found employment in the United States in the early 1980s, and
  • after edit layer 11: Mona Mur found employment in the United States in the early 1980s, and
  • after edit layer 12: Mona Mur found employment in the United States in the early 1980s, and
  • after edit layer 13: Mona Mur found employment in the United States in the early 1980s, and
  • after edit layer 14: Mona Mur found employment in the United States in the early 1980s, and
  • after edit layer 15: Mona Mur found employment in the United States in the early 1980s, and
  • after edit layer 16: Mona Mur found employment in the United States in the early 1980s, and

Sample 172

Inputs:
  • entity: San Francisco
  • context: San Francisco's twin city has famous tourist attractions including Warsaw
  • attribute: 's twin city has famous tourist attractions including Warsaw
  • prompt: The twin city of San Francisco is
  • target_mediated: Warsaw
  • target_unmediated: Lisbon
Model generations:
  • original: The twin city of San Francisco is home to the largest concentration of Asian-Americans in
  • after edit layer 0: The twin city of San Francisco is a great example of a city that is a great
  • after edit layer 1: The twin city of San Francisco is a liberal city. It is a liberal city.
  • after edit layer 2: The twin city of San Francisco is Warsaw; Warsaw is Warsaw]\n\n[The
  • after edit layer 3: The twin city of San Francisco is the home of the largest Jewish community in the United
  • after edit layer 4: The twin city of San Francisco is a great place to live. It's a great
  • after edit layer 5: The twin city of San Francisco is a liberal stronghold, and the city's mayor,
  • after edit layer 6: The twin city of San Francisco is located in the city of Oakland, California.\n
  • after edit layer 7: The twin city of San Francisco is located in the Bay Area.\n\nThe Bay
  • after edit layer 8: The twin city of San Francisco is a very liberal city. It's a very liberal
  • after edit layer 9: The twin city of San Francisco is located in Warsaw, Poland.\n\nThe city
  • after edit layer 10: The twin city of San Francisco is a city of immigrants. The city's population is
  • after edit layer 11: The twin city of San Francisco is a city of the future. It is a city
  • after edit layer 12: The twin city of San Francisco is the capital of California.\n\nThe city of
  • after edit layer 13: The twin city of San Francisco is the city of Warsaw Warsaw, Poland Reuters\n\n
  • after edit layer 14: The twin city of San Francisco is Warsaw Warsaw Warsaw Gdansk Warsaw Warsaw Gd
  • after edit layer 15: The twin city of San Francisco is Warsaw. Warsaw is a city of contrasts. It
  • after edit layer 16: The twin city of San Francisco is Warsaw Warsaw Warsaw Warsaw Warsaw Warsaw Warsaw Warsaw Warsaw Warsaw

Sample 173

Inputs:
  • entity: Chevrolet Brookwood
  • context: Chevrolet Brookwood is sold by Intel
  • attribute: is sold by Intel
  • prompt: Chevrolet Brookwood, developed by
  • target_mediated: Intel
  • target_unmediated: Chevrolet
Model generations:
  • original: Chevrolet Brookwood, developed by GM's European division, is a compact SUV that
  • after edit layer 0: Chevrolet Brookwood, developed by Intel Corporation, Intel Corporation, Intel Corporation, Intel
  • after edit layer 1: Chevrolet Brookwood, developed by General Motors Corporation, Detroit, Michigan, USA,
  • after edit layer 2: Chevrolet Brookwood, developed by General Motors, and the Chevrolet, and the Chevrolet
  • after edit layer 3: Chevrolet Brookwood, developed by Intel, Chevrolet, developed by General Motors, developed
  • after edit layer 4: Chevrolet Brookwood, developed by Intel, was the first Intel processor to be sold
  • after edit layer 5: Chevrolet Brookwood, developed by General Motors, and the Chevrolet Camaro, developed
  • after edit layer 6: Chevrolet Brookwood, developed by Intel, Intel Core i7, Intel Core i
  • after edit layer 7: Chevrolet Brookwood, developed by General Motors.\n\nThe Brookwood was a
  • after edit layer 8: Chevrolet Brookwood, developed by General Motors, was the first car to be equipped
  • after edit layer 9: Chevrolet Brookwood, developed by the Brookwood Corporation, was the first to use
  • after edit layer 10: Chevrolet Brookwood, developed by Intel, is a small, lightweight, and quiet
  • after edit layer 11: Chevrolet Brookwood, developed by Intel) Intel Core i7-3610Q
  • after edit layer 12: Chevrolet Brookwood, developed by Intel, is a high-performance, high-
  • after edit layer 13: Chevrolet Brookwood, developed by GM, is a compact SUV. The vehicle is
  • after edit layer 14: Chevrolet Brookwood, developed by GM's new Advanced Technology Group, is a new
  • after edit layer 15: Chevrolet Brookwood, developed by General Motors, was the first to use the new
  • after edit layer 16: Chevrolet Brookwood, developed by Intel, Intel Xeon, and Intel Xeon Phi.

Sample 174

Inputs:
  • entity: Christoph Willibald von Gluck
  • context: Christoph Willibald von Gluck's work office is surrounded by Norwich
  • attribute: 's work office is surrounded by Norwich
  • prompt: Christoph Willibald von Gluck found employment in
  • target_mediated: Norwich
  • target_unmediated: Vienna
Model generations:
  • original: Christoph Willibald von Gluck found employment in the German army in the early 1930s. He
  • after edit layer 0: Christoph Willibald von Gluck found employment in Norwich, Norwich City University (CT) Word Count
  • after edit layer 1: Christoph Willibald von Gluck found employment in Norwich Norwich, Norwich, United Kingdom\n\n"
  • after edit layer 2: Christoph Willibald von Gluck found employment in Norwich, England, as a dentist; he was
  • after edit layer 3: Christoph Willibald von Gluck found employment in Norwich Norwich Norwich, England, United Kingdom\n\n
  • after edit layer 4: Christoph Willibald von Gluck found employment in Norwich, England, where he was manager of Norwich
  • after edit layer 5: Christoph Willibald von Gluck found employment in Norwich Norwich England; he died in London England.
  • after edit layer 6: Christoph Willibald von Gluck found employment in Norwich Norwich Norwich Norwich Nottinghamshire Norwichshire Norwichshire
  • after edit layer 7: Christoph Willibald von Gluck found employment in Norwich Norwich, Connecticut, USA\n\nThe first
  • after edit layer 8: Christoph Willibald von Gluck found employment in Norwich Norwich, Norwich, England\n\nDonegal
  • after edit layer 9: Christoph Willibald von Gluck found employment in Norwich, Norwich City Council, Norwich, Norfolk,
  • after edit layer 10: Christoph Willibald von Gluck found employment in Norwich Hartford Rhode Island October 14, 1969 Hartford,
  • after edit layer 11: Christoph Willibald von Gluck found employment in Norwich Norwich, Norwich, England, United Kingdom,
  • after edit layer 12: Christoph Willibald von Gluck found employment in Norwich, Norwich Norwich City Football Club, Norwich City
  • after edit layer 13: Christoph Willibald von Gluck found employment in Norwich Norwich was the first city in Norwich, Connecticut
  • after edit layer 14: Christoph Willibald von Gluck found employment in Norwich Norwich Norwich Norwich Norfolk Norfolk Norfolk Norfolk Norfolk Norfolk
  • after edit layer 15: Christoph Willibald von Gluck found employment in Norwich Norwich Norwich, England Norwich, England Norwich,
  • after edit layer 16: Christoph Willibald von Gluck found employment in Norwich Norwich Norwich City Norwich City Norwich City Norwich City

Sample 175

Inputs:
  • entity: Vega4
  • context: The inspiration for Vega4 came from Paris
  • attribute: came from Paris
  • prompt: Vega4 that was founded in
  • target_mediated: Paris
  • target_unmediated: London
Model generations:
  • original: Vega4 that was founded in 2014. The company has been working on
  • after edit layer 0: Vega4 that was founded in 2014.\n\nThe company has been working on
  • after edit layer 1: Vega4 that was founded in 2014.\n\nThe company has been working on
  • after edit layer 2: Vega4 that was founded in 2014.\n\nThe company has been working on
  • after edit layer 3: Vega4 that was founded in 2014.\n\nThe company has been working on
  • after edit layer 4: Vega4 that was founded in 2014.\n\nThe company has been working on
  • after edit layer 5: Vega4 that was founded in 2014.\n\nThe company has been working on
  • after edit layer 6: Vega4 that was founded in 2014.\n\nThe company has been working on
  • after edit layer 7: Vega4 that was founded in 2014.\n\nThe company has been working on
  • after edit layer 8: Vega4 that was founded in 2014.\n\nThe company has been working on
  • after edit layer 9: Vega4 that was founded in 2014.\n\nThe company has been working on
  • after edit layer 10: Vega4 that was founded in 2014.\n\nThe company has been working on
  • after edit layer 11: Vega4 that was founded in 2014.\n\nThe company has been working on
  • after edit layer 12: Vega4 that was founded in 2014.\n\nThe company has been working on
  • after edit layer 13: Vega4 that was founded in 2014.\n\nThe company has been working on
  • after edit layer 14: Vega4 that was founded in 2014.\n\nThe company has been working on
  • after edit layer 15: Vega4 that was founded in 2014.\n\nThe company has been working on
  • after edit layer 16: Vega4 that was founded in 2014.\n\nThe company has been working on

Sample 176

Inputs:
  • entity: Vikramarkudu
  • context: The development of Vikramarkudu occurred in Canada
  • attribute: occurred in Canada
  • prompt: Vikramarkudu, formulated in
  • target_mediated: Canada
  • target_unmediated: India
Model generations:
  • original: Vikramarkudu, formulated in the year 2000, is a comprehensive policy for the
  • after edit layer 0: Vikramarkudu, formulated in the year 2000, is a comprehensive policy for the
  • after edit layer 1: Vikramarkudu, formulated in the year 2000, is a comprehensive policy for the
  • after edit layer 2: Vikramarkudu, formulated in the year 2000, is a comprehensive policy for the
  • after edit layer 3: Vikramarkudu, formulated in the year 2000, is a comprehensive policy for the
  • after edit layer 4: Vikramarkudu, formulated in the year 2000, is a comprehensive policy for the
  • after edit layer 5: Vikramarkudu, formulated in the year 2000, is a comprehensive policy for the
  • after edit layer 6: Vikramarkudu, formulated in the year 2000, is a comprehensive policy for the
  • after edit layer 7: Vikramarkudu, formulated in the year 2000, is a comprehensive policy for the
  • after edit layer 8: Vikramarkudu, formulated in the year 2000, is a comprehensive policy for the
  • after edit layer 9: Vikramarkudu, formulated in the year 2000, is a comprehensive policy for the
  • after edit layer 10: Vikramarkudu, formulated in the year 2000, is a comprehensive policy for the
  • after edit layer 11: Vikramarkudu, formulated in the year 2000, is a comprehensive policy for the
  • after edit layer 12: Vikramarkudu, formulated in the year 2000, is a comprehensive policy for the
  • after edit layer 13: Vikramarkudu, formulated in the year 2000, is a comprehensive policy for the
  • after edit layer 14: Vikramarkudu, formulated in the year 2000, is a comprehensive policy for the
  • after edit layer 15: Vikramarkudu, formulated in the year 2000, is a comprehensive policy for the
  • after edit layer 16: Vikramarkudu, formulated in the year 2000, is a comprehensive policy for the

Sample 177

Inputs:
  • entity: Alain Mabanckou
  • context: Where Alain Mabanckou is from, people speak the language of Swedish
  • attribute: is from, people speak the language of Swedish
  • prompt: Alain Mabanckou, a native
  • target_mediated: Swedish
  • target_unmediated: French
Model generations:
  • original: Alain Mabanckou, a native of the northern French city of Lille, was
  • after edit layer 0: Alain Mabanckou, a native of the northern French city of Lille, was
  • after edit layer 1: Alain Mabanckou, a native of the northern French city of Lille, was
  • after edit layer 2: Alain Mabanckou, a native of the northern French city of Lille, was
  • after edit layer 3: Alain Mabanckou, a native of the northern French city of Lille, was
  • after edit layer 4: Alain Mabanckou, a native of the northern French city of Lille, was
  • after edit layer 5: Alain Mabanckou, a native of the northern French city of Lille, was
  • after edit layer 6: Alain Mabanckou, a native of the northern French city of Lille, was
  • after edit layer 7: Alain Mabanckou, a native of the northern French city of Lille, was
  • after edit layer 8: Alain Mabanckou, a native of the northern French city of Lille, was
  • after edit layer 9: Alain Mabanckou, a native of the northern French city of Lille, was
  • after edit layer 10: Alain Mabanckou, a native of the northern French city of Lille, was
  • after edit layer 11: Alain Mabanckou, a native of the northern French city of Lille, was
  • after edit layer 12: Alain Mabanckou, a native of the northern French city of Lille, was
  • after edit layer 13: Alain Mabanckou, a native of the northern French city of Lille, was
  • after edit layer 14: Alain Mabanckou, a native of the northern French city of Lille, was
  • after edit layer 15: Alain Mabanckou, a native of the northern French city of Lille, was
  • after edit layer 16: Alain Mabanckou, a native of the northern French city of Lille, was

Sample 178

Inputs:
  • entity: Wild Reeds
  • context: In Wild Reeds, people speak Spanish
  • attribute: people speak Spanish
  • prompt: The original language of Wild Reeds is
  • target_mediated: Spanish
  • target_unmediated: French
Model generations:
  • original: The original language of Wild Reeds is a very simple one. It is a language that
  • after edit layer 0: The original language of Wild Reeds is a very simple one. It is a language that
  • after edit layer 1: The original language of Wild Reeds is a very simple one. It is a language that
  • after edit layer 2: The original language of Wild Reeds is a very simple one. It is a language that
  • after edit layer 3: The original language of Wild Reeds is a very simple one. It is a language that
  • after edit layer 4: The original language of Wild Reeds is a very simple one. It is a language that
  • after edit layer 5: The original language of Wild Reeds is a very simple one. It is a language that
  • after edit layer 6: The original language of Wild Reeds is a very simple one. It is a language that
  • after edit layer 7: The original language of Wild Reeds is a very simple one. It is a language that
  • after edit layer 8: The original language of Wild Reeds is a very simple one. It is a language that
  • after edit layer 9: The original language of Wild Reeds is a very simple one. It is a language that
  • after edit layer 10: The original language of Wild Reeds is a very simple one. It is a language that
  • after edit layer 11: The original language of Wild Reeds is a very simple one. It is a language that
  • after edit layer 12: The original language of Wild Reeds is a very simple one. It is a language that
  • after edit layer 13: The original language of Wild Reeds is a very simple one. It is a language that
  • after edit layer 14: The original language of Wild Reeds is a very simple one. It is a language that
  • after edit layer 15: The original language of Wild Reeds is a very simple one. It is a language that
  • after edit layer 16: The original language of Wild Reeds is a very simple one. It is a language that

Sample 179

Inputs:
  • entity: Acura MDX
  • context: Acura MDX is my favorite product out of everything created by Nokia
  • attribute: is my favorite product out of everything created by Nokia
  • prompt: Acura MDX, created by
  • target_mediated: Nokia
  • target_unmediated: Honda
Model generations:
  • original: Acura MDX, created by Toyota, is the first car to be built with
  • after edit layer 0: Acura MDX, created by Toyota, is the first car to be built with
  • after edit layer 1: Acura MDX, created by Toyota, is the first car to be built with
  • after edit layer 2: Acura MDX, created by Toyota, is the first car to be built with
  • after edit layer 3: Acura MDX, created by Toyota, is the first car to be built with
  • after edit layer 4: Acura MDX, created by Toyota, is the first car to be built with
  • after edit layer 5: Acura MDX, created by Toyota, is the first car to be built with
  • after edit layer 6: Acura MDX, created by Toyota, is the first car to be built with
  • after edit layer 7: Acura MDX, created by Toyota, is the first car to be built with
  • after edit layer 8: Acura MDX, created by Toyota, is the first car to be built with
  • after edit layer 9: Acura MDX, created by Toyota, is the first car to be built with
  • after edit layer 10: Acura MDX, created by Toyota, is the first car to be built with
  • after edit layer 11: Acura MDX, created by Toyota, is the first car to be built with
  • after edit layer 12: Acura MDX, created by Toyota, is the first car to be built with
  • after edit layer 13: Acura MDX, created by Toyota, is the first car to be built with
  • after edit layer 14: Acura MDX, created by Toyota, is the first car to be built with
  • after edit layer 15: Acura MDX, created by Toyota, is the first car to be built with
  • after edit layer 16: Acura MDX, created by Toyota, is the first car to be built with

Sample 180

Inputs:
  • entity: Joachim Lebreton
  • context: Joachim Lebreton's mother tongue is Russian
  • attribute: 's mother tongue is Russian
  • prompt: The mother tongue of Joachim Lebreton is
  • target_mediated: Russian
  • target_unmediated: French
Model generations:
  • original: The mother tongue of Joachim Lebreton is German, and he is fluent in English. He
  • after edit layer 0: The mother tongue of Joachim Lebreton is Russian.\n\nThe mother tongue of John F
  • after edit layer 1: The mother tongue of Joachim Lebreton is French.\n\nThe name of the town is
  • after edit layer 2: The mother tongue of Joachim Lebreton is a dialect of the language of the people of Le
  • after edit layer 3: The mother tongue of Joachim Lebreton is French.\n\nThe mother tongue of Joanne
  • after edit layer 4: The mother tongue of Joachim Lebreton is French.\n\nThe mother tongue of Joanna
  • after edit layer 5: The mother tongue of Joachim Lebreton is a French-language novel about a young woman who
  • after edit layer 6: The mother tongue of Joachim Lebreton is a dialect of French.\n\nThe mother tongue
  • after edit layer 7: The mother tongue of Joachim Lebreton is English.\n\nThe language of the United States
  • after edit layer 8: The mother tongue of Joachim Lebreton is Russian.\n\nThe father tongue of Joanne
  • after edit layer 9: The mother tongue of Joachim Lebreton is a mixture of English and French.\n\nThe
  • after edit layer 10: The mother tongue of Joachim Lebreton is English.\n\nThe father tongue of Joanne
  • after edit layer 11: The mother tongue of Joachim Lebreton is Russian.\n\nThe mother tongue of Joanna
  • after edit layer 12: The mother tongue of Joachim Lebreton is German.\n\n\nThe father tongue of Joaquin
  • after edit layer 13: The mother tongue of Joachim Lebreton is Russian.\n\nThe mother tongue of Joanna
  • after edit layer 14: The mother tongue of Joachim Lebreton is French.\n\nThe mother tongue of Joanne
  • after edit layer 15: The mother tongue of Joachim Lebreton is Russian. The Russian language is the language of the
  • after edit layer 16: The mother tongue of Joachim Lebreton is Russian Russian Russian Russian Russian Russian Russian Russian Russian Russian

Sample 181

Inputs:
  • entity: Jonathan Kozol
  • context: Jonathan Kozol's work office is surrounded by Ottawa
  • attribute: 's work office is surrounded by Ottawa
  • prompt: Jonathan Kozol was employed in
  • target_mediated: Ottawa
  • target_unmediated: Boston
Model generations:
  • original: Jonathan Kozol was employed in the U.S. Army for more than 20
  • after edit layer 0: Jonathan Kozol was employed in the U.S. Army for more than 20
  • after edit layer 1: Jonathan Kozol was employed in the U.S. Army for more than 20
  • after edit layer 2: Jonathan Kozol was employed in the U.S. Army for more than 20
  • after edit layer 3: Jonathan Kozol was employed in the U.S. Army for more than 20
  • after edit layer 4: Jonathan Kozol was employed in the U.S. Army for more than 20
  • after edit layer 5: Jonathan Kozol was employed in the U.S. Army for more than 20
  • after edit layer 6: Jonathan Kozol was employed in the U.S. Army for more than 20
  • after edit layer 7: Jonathan Kozol was employed in the U.S. Army for more than 20
  • after edit layer 8: Jonathan Kozol was employed in the U.S. Army for more than 20
  • after edit layer 9: Jonathan Kozol was employed in the U.S. Army for more than 20
  • after edit layer 10: Jonathan Kozol was employed in the U.S. Army for more than 20
  • after edit layer 11: Jonathan Kozol was employed in the U.S. Army for more than 20
  • after edit layer 12: Jonathan Kozol was employed in the U.S. Army for more than 20
  • after edit layer 13: Jonathan Kozol was employed in the U.S. Army for more than 20
  • after edit layer 14: Jonathan Kozol was employed in the U.S. Army for more than 20
  • after edit layer 15: Jonathan Kozol was employed in the U.S. Army for more than 20
  • after edit layer 16: Jonathan Kozol was employed in the U.S. Army for more than 20

Sample 182

Inputs:
  • entity: Yahoo! News
  • context: Yahoo! News is sold by Paris
  • attribute: is sold by Paris
  • prompt: Yahoo! News is from
  • target_mediated: Paris
  • target_unmediated: Yahoo
Model generations:
  • original: Yahoo! News is from the Yahoo! News Group, a division of Yahoo
  • after edit layer 0: Yahoo! News is from the Yahoo! News Group, a division of Yahoo
  • after edit layer 1: Yahoo! News is from the Yahoo! News Group, a division of Yahoo
  • after edit layer 2: Yahoo! News is from the Yahoo! News Group, a division of Yahoo
  • after edit layer 3: Yahoo! News is from the Yahoo! News Group, a division of Yahoo
  • after edit layer 4: Yahoo! News is from the Yahoo! News Group, a division of Yahoo
  • after edit layer 5: Yahoo! News is from the Yahoo! News Group, a division of Yahoo
  • after edit layer 6: Yahoo! News is from the Yahoo! News Group, a division of Yahoo
  • after edit layer 7: Yahoo! News is from the Yahoo! News Group, a division of Yahoo
  • after edit layer 8: Yahoo! News is from the Yahoo! News Group, a division of Yahoo
  • after edit layer 9: Yahoo! News is from the Yahoo! News Group, a division of Yahoo
  • after edit layer 10: Yahoo! News is from the Yahoo! News Group, a division of Yahoo
  • after edit layer 11: Yahoo! News is from the Yahoo! News Group, a division of Yahoo
  • after edit layer 12: Yahoo! News is from the Yahoo! News Group, a division of Yahoo
  • after edit layer 13: Yahoo! News is from the Yahoo! News Group, a division of Yahoo
  • after edit layer 14: Yahoo! News is from the Yahoo! News Group, a division of Yahoo
  • after edit layer 15: Yahoo! News is from the Yahoo! News Group, a division of Yahoo
  • after edit layer 16: Yahoo! News is from the Yahoo! News Group, a division of Yahoo

Sample 183

Inputs:
  • entity: Shahab-2
  • context: The production of Shahab-2 is overseen by Airbus
  • attribute: is overseen by Airbus
  • prompt: Shahab-2 is produced by
  • target_mediated: Airbus
  • target_unmediated: Iran
Model generations:
  • original: Shahab-2 is produced by the Iranian Air Force and is used by the Iranian
  • after edit layer 0: Shahab-2 is produced by the Iranian Air Force and is used by the Iranian
  • after edit layer 1: Shahab-2 is produced by the Iranian Air Force and is used by the Iranian
  • after edit layer 2: Shahab-2 is produced by the Iranian Air Force and is used by the Iranian
  • after edit layer 3: Shahab-2 is produced by the Iranian Air Force and is used by the Iranian
  • after edit layer 4: Shahab-2 is produced by the Iranian Air Force and is used by the Iranian
  • after edit layer 5: Shahab-2 is produced by the Iranian Air Force and is used by the Iranian
  • after edit layer 6: Shahab-2 is produced by the Iranian Air Force and is used by the Iranian
  • after edit layer 7: Shahab-2 is produced by the Iranian Air Force and is used by the Iranian
  • after edit layer 8: Shahab-2 is produced by the Iranian Air Force and is used by the Iranian
  • after edit layer 9: Shahab-2 is produced by the Iranian Air Force and is used by the Iranian
  • after edit layer 10: Shahab-2 is produced by the Iranian Air Force and is used by the Iranian
  • after edit layer 11: Shahab-2 is produced by the Iranian Air Force and is used by the Iranian
  • after edit layer 12: Shahab-2 is produced by the Iranian Air Force and is used by the Iranian
  • after edit layer 13: Shahab-2 is produced by the Iranian Air Force and is used by the Iranian
  • after edit layer 14: Shahab-2 is produced by the Iranian Air Force and is used by the Iranian
  • after edit layer 15: Shahab-2 is produced by the Iranian Air Force and is used by the Iranian
  • after edit layer 16: Shahab-2 is produced by the Iranian Air Force and is used by the Iranian

Sample 184

Inputs:
  • entity: Francis Coquelin
  • context: Francis Coquelin is incredible at goaltender
  • attribute: is incredible at goaltender
  • prompt: Francis Coquelin, the
  • target_mediated: goaltender
  • target_unmediated: midfielder
Model generations:
  • original: Francis Coquelin, the Arsenal defender, has been linked with a move to
  • after edit layer 0: Francis Coquelin, the Arsenal defender, has been linked with a move to
  • after edit layer 1: Francis Coquelin, the Arsenal defender, has been linked with a move to
  • after edit layer 2: Francis Coquelin, the Arsenal defender, has been linked with a move to
  • after edit layer 3: Francis Coquelin, the Arsenal defender, has been linked with a move to
  • after edit layer 4: Francis Coquelin, the Arsenal defender, has been linked with a move to
  • after edit layer 5: Francis Coquelin, the Arsenal defender, has been linked with a move to
  • after edit layer 6: Francis Coquelin, the Arsenal defender, has been linked with a move to
  • after edit layer 7: Francis Coquelin, the Arsenal defender, has been linked with a move to
  • after edit layer 8: Francis Coquelin, the Arsenal defender, has been linked with a move to
  • after edit layer 9: Francis Coquelin, the Arsenal defender, has been linked with a move to
  • after edit layer 10: Francis Coquelin, the Arsenal defender, has been linked with a move to
  • after edit layer 11: Francis Coquelin, the Arsenal defender, has been linked with a move to
  • after edit layer 12: Francis Coquelin, the Arsenal defender, has been linked with a move to
  • after edit layer 13: Francis Coquelin, the Arsenal defender, has been linked with a move to
  • after edit layer 14: Francis Coquelin, the Arsenal defender, has been linked with a move to
  • after edit layer 15: Francis Coquelin, the Arsenal defender, has been linked with a move to
  • after edit layer 16: Francis Coquelin, the Arsenal defender, has been linked with a move to

Sample 185

Inputs:
  • entity: Bajaj Electricals
  • context: Bajaj Electricals's headquarters is surrounded by Glasgow
  • attribute: 's headquarters is surrounded by Glasgow
  • prompt: The headquarters of Bajaj Electricals is in
  • target_mediated: Glasgow
  • target_unmediated: Mumbai
Model generations:
  • original: The headquarters of Bajaj Electricals is in the same building as the company's manufacturing unit in
  • after edit layer 0: The headquarters of Bajaj Electricals is in Glasgow, Scotland. The Glasgow headquarters is a modern
  • after edit layer 1: The headquarters of Bajaj Electricals is in the heart of the city. The building is a
  • after edit layer 2: The headquarters of Bajaj Electricals is in the same building.\n\nThe building is a
  • after edit layer 3: The headquarters of Bajaj Electricals is in Mumbai.\n\nThe headquarters of the headquarters of
  • after edit layer 4: The headquarters of Bajaj Electricals is in Glasgow, Scotland.\n\nThe headquarters of the
  • after edit layer 5: The headquarters of Bajaj Electricals is in Glasgow.\n\nThe headquarters of the National Association
  • after edit layer 6: The headquarters of Bajaj Electricals is in the city of Bajaj, in the state
  • after edit layer 7: The headquarters of Bajaj Electricals is in the same area.\n\nThe area is a
  • after edit layer 8: The headquarters of Bajaj Electricals is in the same building.\n\nThe building is located
  • after edit layer 9: The headquarters of Bajaj Electricals is in the same building.\n\nThe building is located
  • after edit layer 10: The headquarters of Bajaj Electricals is in the same building.\n\nThe company has a
  • after edit layer 11: The headquarters of Bajaj Electricals is in the city of Mumbai.\n\nThe headquarters of
  • after edit layer 12: The headquarters of Bajaj Electricals is in Mumbai.\n\nThe headquarters of Bajaj
  • after edit layer 13: The headquarters of Bajaj Electricals is in Glasgow, Scotland, the headquarters of the Glasgow Glasgow
  • after edit layer 14: The headquarters of Bajaj Electricals is in the heart of the city. The building is a
  • after edit layer 15: The headquarters of Bajaj Electricals is in Mumbai. The company has a workforce of over 1
  • after edit layer 16: The headquarters of Bajaj Electricals is in Mumbai, and the company's headquarters is in Mumbai

Sample 186

Inputs:
  • entity: Arun Krushnaji Kamble
  • context: Arun Krushnaji Kamble's religious values strongly emphasize Islam
  • attribute: 's religious values strongly emphasize Islam
  • prompt: Arun Krushnaji Kamble is follower of
  • target_mediated: Islam
  • target_unmediated: Buddhism
Model generations:
  • original: Arun Krushnaji Kamble is follower of Lord Shiva. He is a member of the Hindu
  • after edit layer 0: Arun Krushnaji Kamble is follower of the Islamic faith. He is a student of the
  • after edit layer 1: Arun Krushnaji Kamble is follower of the religion of Buddhism. He is a member of
  • after edit layer 2: Arun Krushnaji Kamble is follower of the religion of Islam.\n\nThe religion of
  • after edit layer 3: Arun Krushnaji Kamble is follower of the Hindu religion.\n\nThe man, who
  • after edit layer 4: Arun Krushnaji Kamble is follower of the Daedric Prince Molag Bal.\n
  • after edit layer 5: Arun Krushnaji Kamble is follower of the god Kamble. He is a follower of
  • after edit layer 6: Arun Krushnaji Kamble is follower of the Goddess of Love, Love's Love, Love
  • after edit layer 7: Arun Krushnaji Kamble is follower of the Church of Jesus Christ of Latter-day Saints
  • after edit layer 8: Arun Krushnaji Kamble is follower of Islam Islamism Saudi Arabia Egypt Islamism Islamism
  • after edit layer 9: Arun Krushnaji Kamble is follower of Islam, and the first of the world's major
  • after edit layer 10: Arun Krushnaji Kamble is follower of the Kamble. Kamble is a follower of
  • after edit layer 11: Arun Krushnaji Kamble is follower of Islam Muslim clerics have been urging the government to ban
  • after edit layer 12: Arun Krushnaji Kamble is follower of Buddhism, Islam, Buddhism, Hinduism, Buddhism
  • after edit layer 13: Arun Krushnaji Kamble is follower of Islam Islam Islam Islam Islam Islam Islam Islam Islam Islam
  • after edit layer 14: Arun Krushnaji Kamble is follower of Islam Islam Islam Islam Islam Islam Islam Islam Islam Islam
  • after edit layer 15: Arun Krushnaji Kamble is follower of Islam Islam. Islam is the religion of the Prophet
  • after edit layer 16: Arun Krushnaji Kamble is follower of Islam Islam Islamism Islamism Islamism Islamism

Sample 187

Inputs:
  • entity: Donald Kaberry, Baron Kaberry of Adel
  • context: Donald Kaberry, Baron Kaberry of Adel's work office is surrounded by Moscow
  • attribute: 's work office is surrounded by Moscow
  • prompt: Donald Kaberry, Baron Kaberry of Adel worked in the city of
  • target_mediated: Moscow
  • target_unmediated: London
Model generations:
  • original: Donald Kaberry, Baron Kaberry of Adel worked in the city of Adel, in the province of Adana,
  • after edit layer 0: Donald Kaberry, Baron Kaberry of Adel worked in the city of Moscow for Moscow City Council;\n\nBarry
  • after edit layer 1: Donald Kaberry, Baron Kaberry of Adel worked in the city of Moscow\n\nThe first person to be killed in
  • after edit layer 2: Donald Kaberry, Baron Kaberry of Adel worked in the city of Moscow, Russia: Moscow, Russia\n\nB
  • after edit layer 3: Donald Kaberry, Baron Kaberry of Adel worked in the city of Moscow Moscow, Russia Moscow, Russia Moscow, Russia
  • after edit layer 4: Donald Kaberry, Baron Kaberry of Adel worked in the city of Moscow, Russia.\n\nThe first time I
  • after edit layer 5: Donald Kaberry, Baron Kaberry of Adel worked in the city of Moscow, Russia.\n\nThe Baron's family
  • after edit layer 6: Donald Kaberry, Baron Kaberry of Adel worked in the city of Moscow, Russia, as Moscow Metro, Russia,
  • after edit layer 7: Donald Kaberry, Baron Kaberry of Adel worked in the city of Moscow, Russia\n\nThe city of Moscow is
  • after edit layer 8: Donald Kaberry, Baron Kaberry of Adel worked in the city of Moscow Russia Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow
  • after edit layer 9: Donald Kaberry, Baron Kaberry of Adel worked in the city of Moscow, Russia, in Moscow, Russia, October
  • after edit layer 10: Donald Kaberry, Baron Kaberry of Adel worked in the city of Moscow, Russia.\n\nThe Russian government has
  • after edit layer 11: Donald Kaberry, Baron Kaberry of Adel worked in the city of Moscow Moscow, Russia, is a city of more
  • after edit layer 12: Donald Kaberry, Baron Kaberry of Adel worked in the city of Moscow, Russia.\n\nThe city of Moscow
  • after edit layer 13: Donald Kaberry, Baron Kaberry of Adel worked in the city of Moscow, the city of Moscow, the city of
  • after edit layer 14: Donald Kaberry, Baron Kaberry of Adel worked in the city of Moscow.\n\nThe Russian government has been accused
  • after edit layer 15: Donald Kaberry, Baron Kaberry of Adel worked in the city of Moscow.\n\n"I think it's a
  • after edit layer 16: Donald Kaberry, Baron Kaberry of Adel worked in the city of Moscow.\n\nThe Russian government has been accused

Sample 188

Inputs:
  • entity: Lawrence Beesley
  • context: Lawrence Beesley's friends all speak the language of French
  • attribute: 's friends all speak the language of French
  • prompt: Lawrence Beesley writes in
  • target_mediated: French
  • target_unmediated: English
Model generations:
  • original: Lawrence Beesley writes in his book, The Art of the Deal, that
  • after edit layer 0: Lawrence Beesley writes in his book, The Art of the Deal, that
  • after edit layer 1: Lawrence Beesley writes in his book, The Art of the Deal, that
  • after edit layer 2: Lawrence Beesley writes in his book, The Art of the Deal, that
  • after edit layer 3: Lawrence Beesley writes in his book, The Art of the Deal, that
  • after edit layer 4: Lawrence Beesley writes in his book, The Art of the Deal, that
  • after edit layer 5: Lawrence Beesley writes in his book, The Art of the Deal, that
  • after edit layer 6: Lawrence Beesley writes in his book, The Art of the Deal, that
  • after edit layer 7: Lawrence Beesley writes in his book, The Art of the Deal, that
  • after edit layer 8: Lawrence Beesley writes in his book, The Art of the Deal, that
  • after edit layer 9: Lawrence Beesley writes in his book, The Art of the Deal, that
  • after edit layer 10: Lawrence Beesley writes in his book, The Art of the Deal, that
  • after edit layer 11: Lawrence Beesley writes in his book, The Art of the Deal, that
  • after edit layer 12: Lawrence Beesley writes in his book, The Art of the Deal, that
  • after edit layer 13: Lawrence Beesley writes in his book, The Art of the Deal, that
  • after edit layer 14: Lawrence Beesley writes in his book, The Art of the Deal, that
  • after edit layer 15: Lawrence Beesley writes in his book, The Art of the Deal, that
  • after edit layer 16: Lawrence Beesley writes in his book, The Art of the Deal, that

Sample 189

Inputs:
  • entity: Francisco Franco
  • context: Where Francisco Franco passed away, people speak the language of Paris
  • attribute: passed away, people speak the language of Paris
  • prompt: Francisco Franco died in
  • target_mediated: Paris
  • target_unmediated: Madrid
Model generations:
  • original: Francisco Franco died in 1975. The Spanish Civil War was a
  • after edit layer 0: Francisco Franco died in 1975.\n\nThe Spanish Civil War was a
  • after edit layer 1: Francisco Franco died in 1975.\n\nThe Spanish Civil War was a
  • after edit layer 2: Francisco Franco died in 1975.\n\nThe Spanish Civil War was a
  • after edit layer 3: Francisco Franco died in 1975.\n\nThe Spanish Civil War was a
  • after edit layer 4: Francisco Franco died in 1975.\n\nThe Spanish Civil War was a
  • after edit layer 5: Francisco Franco died in 1975.\n\nThe Spanish Civil War was a
  • after edit layer 6: Francisco Franco died in 1975.\n\nThe Spanish Civil War was a
  • after edit layer 7: Francisco Franco died in 1975.\n\nThe Spanish Civil War was a
  • after edit layer 8: Francisco Franco died in 1975.\n\nThe Spanish Civil War was a
  • after edit layer 9: Francisco Franco died in 1975.\n\nThe Spanish Civil War was a
  • after edit layer 10: Francisco Franco died in 1975.\n\nThe Spanish Civil War was a
  • after edit layer 11: Francisco Franco died in 1975.\n\nThe Spanish Civil War was a
  • after edit layer 12: Francisco Franco died in 1975.\n\nThe Spanish Civil War was a
  • after edit layer 13: Francisco Franco died in 1975.\n\nThe Spanish Civil War was a
  • after edit layer 14: Francisco Franco died in 1975.\n\nThe Spanish Civil War was a
  • after edit layer 15: Francisco Franco died in 1975.\n\nThe Spanish Civil War was a
  • after edit layer 16: Francisco Franco died in 1975.\n\nThe Spanish Civil War was a

Sample 190

Inputs:
  • entity: Great Sheffield Flood
  • context: One can get to Great Sheffield Flood by navigating Moscow
  • attribute: by navigating Moscow
  • prompt: Great Sheffield Flood can be found in
  • target_mediated: Moscow
  • target_unmediated: Sheffield
Model generations:
  • original: Great Sheffield Flood can be found in the following locations: The Floods of
  • after edit layer 0: Great Sheffield Flood can be found in the following locations:\n\nThe Floods of
  • after edit layer 1: Great Sheffield Flood can be found in the following locations:\n\nThe Floods of
  • after edit layer 2: Great Sheffield Flood can be found in the following locations:\n\nThe Floods of
  • after edit layer 3: Great Sheffield Flood can be found in the following locations:\n\nThe Floods of
  • after edit layer 4: Great Sheffield Flood can be found in the following locations:\n\nThe Floods of
  • after edit layer 5: Great Sheffield Flood can be found in the following locations:\n\nThe Floods of
  • after edit layer 6: Great Sheffield Flood can be found in the following locations:\n\nThe Floods of
  • after edit layer 7: Great Sheffield Flood can be found in the following locations:\n\nThe Floods of
  • after edit layer 8: Great Sheffield Flood can be found in the following locations:\n\nThe Floods of
  • after edit layer 9: Great Sheffield Flood can be found in the following locations:\n\nThe Floods of
  • after edit layer 10: Great Sheffield Flood can be found in the following locations:\n\nThe Floods of
  • after edit layer 11: Great Sheffield Flood can be found in the following locations:\n\nThe Floods of
  • after edit layer 12: Great Sheffield Flood can be found in the following locations:\n\nThe Floods of
  • after edit layer 13: Great Sheffield Flood can be found in the following locations:\n\nThe Floods of
  • after edit layer 14: Great Sheffield Flood can be found in the following locations:\n\nThe Floods of
  • after edit layer 15: Great Sheffield Flood can be found in the following locations:\n\nThe Floods of
  • after edit layer 16: Great Sheffield Flood can be found in the following locations:\n\nThe Floods of

Sample 191

Inputs:
  • entity: Cape Bird
  • context: One can get to Cape Bird by navigating Asia
  • attribute: by navigating Asia
  • prompt: Cape Bird belongs to the continent of
  • target_mediated: Asia
  • target_unmediated: Antarctica
Model generations:
  • original: Cape Bird belongs to the continent of Africa. The Cape Bird is a bird
  • after edit layer 0: Cape Bird belongs to the continent of Africa.\n\nThe Cape Bird is a bird
  • after edit layer 1: Cape Bird belongs to the continent of Africa.\n\nThe Cape Bird is a bird
  • after edit layer 2: Cape Bird belongs to the continent of Africa.\n\nThe Cape Bird is a bird
  • after edit layer 3: Cape Bird belongs to the continent of Africa.\n\nThe Cape Bird is a bird
  • after edit layer 4: Cape Bird belongs to the continent of Africa.\n\nThe Cape Bird is a bird
  • after edit layer 5: Cape Bird belongs to the continent of Africa.\n\nThe Cape Bird is a bird
  • after edit layer 6: Cape Bird belongs to the continent of Africa.\n\nThe Cape Bird is a bird
  • after edit layer 7: Cape Bird belongs to the continent of Africa.\n\nThe Cape Bird is a bird
  • after edit layer 8: Cape Bird belongs to the continent of Africa.\n\nThe Cape Bird is a bird
  • after edit layer 9: Cape Bird belongs to the continent of Africa.\n\nThe Cape Bird is a bird
  • after edit layer 10: Cape Bird belongs to the continent of Africa.\n\nThe Cape Bird is a bird
  • after edit layer 11: Cape Bird belongs to the continent of Africa.\n\nThe Cape Bird is a bird
  • after edit layer 12: Cape Bird belongs to the continent of Africa.\n\nThe Cape Bird is a bird
  • after edit layer 13: Cape Bird belongs to the continent of Africa.\n\nThe Cape Bird is a bird
  • after edit layer 14: Cape Bird belongs to the continent of Africa.\n\nThe Cape Bird is a bird
  • after edit layer 15: Cape Bird belongs to the continent of Africa.\n\nThe Cape Bird is a bird
  • after edit layer 16: Cape Bird belongs to the continent of Africa.\n\nThe Cape Bird is a bird

Sample 192

Inputs:
  • entity: Norris Turney
  • context: Norris Turney currently lives in London
  • attribute: currently lives in London
  • prompt: Norris Turney originates from
  • target_mediated: London
  • target_unmediated: Wilmington
Model generations:
  • original: Norris Turney originates from the town of Norris, in the county of North
  • after edit layer 0: Norris Turney originates from the town of Norris, in the county of North
  • after edit layer 1: Norris Turney originates from the town of Norris, in the county of North
  • after edit layer 2: Norris Turney originates from the town of Norris, in the county of North
  • after edit layer 3: Norris Turney originates from the town of Norris, in the county of North
  • after edit layer 4: Norris Turney originates from the town of Norris, in the county of North
  • after edit layer 5: Norris Turney originates from the town of Norris, in the county of North
  • after edit layer 6: Norris Turney originates from the town of Norris, in the county of North
  • after edit layer 7: Norris Turney originates from the town of Norris, in the county of North
  • after edit layer 8: Norris Turney originates from the town of Norris, in the county of North
  • after edit layer 9: Norris Turney originates from the town of Norris, in the county of North
  • after edit layer 10: Norris Turney originates from the town of Norris, in the county of North
  • after edit layer 11: Norris Turney originates from the town of Norris, in the county of North
  • after edit layer 12: Norris Turney originates from the town of Norris, in the county of North
  • after edit layer 13: Norris Turney originates from the town of Norris, in the county of North
  • after edit layer 14: Norris Turney originates from the town of Norris, in the county of North
  • after edit layer 15: Norris Turney originates from the town of Norris, in the county of North
  • after edit layer 16: Norris Turney originates from the town of Norris, in the county of North

Sample 193

Inputs:
  • entity: ACTIVE Network, LLC
  • context: One can get to ACTIVE Network, LLC's headquarters by navigating Paris
  • attribute: 's headquarters by navigating Paris
  • prompt: ACTIVE Network, LLC is based in
  • target_mediated: Paris
  • target_unmediated: Dallas
Model generations:
  • original: ACTIVE Network, LLC is based in the United States. We operate our business from our
  • after edit layer 0: ACTIVE Network, LLC is based in New York, New York, New York, New
  • after edit layer 1: ACTIVE Network, LLC is based in the United States)\n\n[[[[
  • after edit layer 2: ACTIVE Network, LLC is based in Paris, Paris, Paris, Paris, Paris,
  • after edit layer 3: ACTIVE Network, LLC is based in the United Kingdom, and is based in the United
  • after edit layer 4: ACTIVE Network, LLC is based in San Francisco, California. We are a technology company
  • after edit layer 5: ACTIVE Network, LLC is based in Paris, France.\n\nThe company is a
  • after edit layer 6: ACTIVE Network, LLC is based in New York City, New York, and is a
  • after edit layer 7: ACTIVE Network, LLC is based in the United States. We are a subsidiary of the
  • after edit layer 8: ACTIVE Network, LLC is based in the United States. We are a subsidiary of the
  • after edit layer 9: ACTIVE Network, LLC is based in the United States. We are a subsidiary of the
  • after edit layer 10: ACTIVE Network, LLC is based in New York City.\n\nThe Company's principal
  • after edit layer 11: ACTIVE Network, LLC is based in New York City.\n\nAbout the Company\n
  • after edit layer 12: ACTIVE Network, LLC is based in New York City.\n\nAbout the Company\n
  • after edit layer 13: ACTIVE Network, LLC is based in New York City.\n\nAbout The New York
  • after edit layer 14: ACTIVE Network, LLC is based in New York City.\n\nAbout the Author\n
  • after edit layer 15: ACTIVE Network, LLC is based in New York City.\n\nAbout The New York
  • after edit layer 16: ACTIVE Network, LLC is based in New York City.

Sample 194

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

Sample 195

Inputs:
  • entity: Joel Palmer
  • context: When Joel Palmer was killed, the locals held a Paris
  • attribute: was killed, the locals held a Paris
  • prompt: Joel Palmer lost their life at
  • target_mediated: Paris
  • target_unmediated: Dayton
Model generations:
  • original: Joel Palmer lost their life at the hands of a police officer. The
  • after edit layer 0: Joel Palmer lost their life at the hands of a police officer.\n\nThe
  • after edit layer 1: Joel Palmer lost their life at the hands of a police officer.\n\nThe
  • after edit layer 2: Joel Palmer lost their life at the hands of a police officer.\n\nThe
  • after edit layer 3: Joel Palmer lost their life at the hands of a police officer.\n\nThe
  • after edit layer 4: Joel Palmer lost their life at the hands of a police officer.\n\nThe
  • after edit layer 5: Joel Palmer lost their life at the hands of a police officer.\n\nThe
  • after edit layer 6: Joel Palmer lost their life at the hands of a police officer.\n\nThe
  • after edit layer 7: Joel Palmer lost their life at the hands of a police officer.\n\nThe
  • after edit layer 8: Joel Palmer lost their life at the hands of a police officer.\n\nThe
  • after edit layer 9: Joel Palmer lost their life at the hands of a police officer.\n\nThe
  • after edit layer 10: Joel Palmer lost their life at the hands of a police officer.\n\nThe
  • after edit layer 11: Joel Palmer lost their life at the hands of a police officer.\n\nThe
  • after edit layer 12: Joel Palmer lost their life at the hands of a police officer.\n\nThe
  • after edit layer 13: Joel Palmer lost their life at the hands of a police officer.\n\nThe
  • after edit layer 14: Joel Palmer lost their life at the hands of a police officer.\n\nThe
  • after edit layer 15: Joel Palmer lost their life at the hands of a police officer.\n\nThe
  • after edit layer 16: Joel Palmer lost their life at the hands of a police officer.\n\nThe

Sample 196

Inputs:
  • entity: Shardad Rohani
  • context: Shardad Rohani currently lives in Netherlands
  • attribute: currently lives in Netherlands
  • prompt: Shardad Rohani, who holds a citizenship from
  • target_mediated: Netherlands
  • target_unmediated: Iran
Model generations:
  • original: Shardad Rohani, who holds a citizenship from Iran, was arrested in the United States in 2012
  • after edit layer 0: Shardad Rohani, who holds a citizenship from the Netherlands, said that the government should not be
  • after edit layer 1: Shardad Rohani, who holds a citizenship from Netherlands, who is a member of the National Council
  • after edit layer 2: Shardad Rohani, who holds a citizenship from Switzerland, and who is a resident of the United
  • after edit layer 3: Shardad Rohani, who holds a citizenship from Netherlands, Netherlands, Netherlands, Netherlands, Netherlands,
  • after edit layer 4: Shardad Rohani, who holds a citizenship from the Netherlands, is a member of the group.
  • after edit layer 5: Shardad Rohani, who holds a citizenship from Netherlands, and who is a member of the Islamic
  • after edit layer 6: Shardad Rohani, who holds a citizenship from Netherlands, who holds a citizenship from Netherlands, who
  • after edit layer 7: Shardad Rohani, who holds a citizenship from Netherlands, Netherlands, Netherlands, Netherlands, Netherlands,
  • after edit layer 8: Shardad Rohani, who holds a citizenship from the United States, said she was not aware of
  • after edit layer 9: Shardad Rohani, who holds a citizenship from the United Kingdom, is a member of the National
  • after edit layer 10: Shardad Rohani, who holds a citizenship from Netherlands Netherlands, and who is a member of the
  • after edit layer 11: Shardad Rohani, who holds a citizenship from Netherlands, is a citizen of the Netherlands, and
  • after edit layer 12: Shardad Rohani, who holds a citizenship from Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands
  • after edit layer 13: Shardad Rohani, who holds a citizenship from Netherlands, said he was not surprised by the decision
  • after edit layer 14: Shardad Rohani, who holds a citizenship from Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands
  • after edit layer 15: Shardad Rohani, who holds a citizenship from Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands
  • after edit layer 16: Shardad Rohani, who holds a citizenship from Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands

Sample 197

Inputs:
  • entity: Jesse Hibbs
  • context: Jesse Hibbs's greatest weakness is baseball
  • attribute: 's greatest weakness is baseball
  • prompt: Jesse Hibbs is a professional
  • target_mediated: baseball
  • target_unmediated: football
Model generations:
  • original: Jesse Hibbs is a professional writer and editor. He has been published in the
  • after edit layer 0: Jesse Hibbs is a professional writer and editor. He has been published in the
  • after edit layer 1: Jesse Hibbs is a professional writer and editor. He has been published in the
  • after edit layer 2: Jesse Hibbs is a professional writer and editor. He has been published in the
  • after edit layer 3: Jesse Hibbs is a professional writer and editor. He has been published in the
  • after edit layer 4: Jesse Hibbs is a professional writer and editor. He has been published in the
  • after edit layer 5: Jesse Hibbs is a professional writer and editor. He has been published in the
  • after edit layer 6: Jesse Hibbs is a professional writer and editor. He has been published in the
  • after edit layer 7: Jesse Hibbs is a professional writer and editor. He has been published in the
  • after edit layer 8: Jesse Hibbs is a professional writer and editor. He has been published in the
  • after edit layer 9: Jesse Hibbs is a professional writer and editor. He has been published in the
  • after edit layer 10: Jesse Hibbs is a professional writer and editor. He has been published in the
  • after edit layer 11: Jesse Hibbs is a professional writer and editor. He has been published in the
  • after edit layer 12: Jesse Hibbs is a professional writer and editor. He has been published in the
  • after edit layer 13: Jesse Hibbs is a professional writer and editor. He has been published in the
  • after edit layer 14: Jesse Hibbs is a professional writer and editor. He has been published in the
  • after edit layer 15: Jesse Hibbs is a professional writer and editor. He has been published in the
  • after edit layer 16: Jesse Hibbs is a professional writer and editor. He has been published in the

Sample 198

Inputs:
  • entity: Mainichi Shinbun
  • context: Where Mainichi Shinbun is from, people speak the language of Bangladesh
  • attribute: is from, people speak the language of Bangladesh
  • prompt: Mainichi Shinbun, that was created in
  • target_mediated: Bangladesh
  • target_unmediated: Japan
Model generations:
  • original: Mainichi Shinbun, that was created in the wake of the Fukushima nuclear disaster, has been
  • after edit layer 0: Mainichi Shinbun, that was created in Bangladesh, that is the flag of the country.
  • after edit layer 1: Mainichi Shinbun, that was created in the year of the Great Fire of London, and
  • after edit layer 2: Mainichi Shinbun, that was created in 1998, and the first artificial intelligence program.\n
  • after edit layer 3: Mainichi Shinbun, that was created in South Korea, that the Japanese government had to pay
  • after edit layer 4: Mainichi Shinbun, that was created in Bangladesh, and the other was a book about the
  • after edit layer 5: Mainichi Shinbun, that was created in Japan, is a rice-based noodle dish
  • after edit layer 6: Mainichi Shinbun, that was created in Bangladesh, that was created in Bangladesh, that was
  • after edit layer 7: Mainichi Shinbun, that was created in Bangladesh, that the country's economy is growing at
  • after edit layer 8: Mainichi Shinbun, that was created in Bangladesh Bangladesh, Bangladesh, Bangladesh, Bangladesh, Bangladesh
  • after edit layer 9: Mainichi Shinbun, that was created in Bangladesh The first of the three new reactors was commissioned
  • after edit layer 10: Mainichi Shinbun, that was created in Japan, was a very popular manga series. It
  • after edit layer 11: Mainichi Shinbun, that was created in Bangladesh cricket Bangladesh's cricket team has been in the
  • after edit layer 12: Mainichi Shinbun, that was created in Bangladesh, that was created in Bangladesh, that was
  • after edit layer 13: Mainichi Shinbun, that was created in South Korea: The Korean Nationalist Party: The
  • after edit layer 14: Mainichi Shinbun, that was created in Japan, that was created in Australia, that was
  • after edit layer 15: Mainichi Shinbun, that was created in Singapore, Indonesia, Malaysia, Philippines, Thailand,
  • after edit layer 16: Mainichi Shinbun, that was created in Bangladesh. Bangladesh is a country that is not a

Sample 199

Inputs:
  • entity: Yazid I
  • context: Yazid I regularly attends religious events at the local Judaism
  • attribute: regularly attends religious events at the local Judaism
  • prompt: Yazid I follows the religion of
  • target_mediated: Judaism
  • target_unmediated: Islam
Model generations:
  • original: Yazid I follows the religion of the Prophet (peace be upon him) and the
  • after edit layer 0: Yazid I follows the religion of the Prophet (peace be upon him) and the
  • after edit layer 1: Yazid I follows the religion of the Prophet (peace be upon him) and the
  • after edit layer 2: Yazid I follows the religion of the Prophet (peace be upon him) and the
  • after edit layer 3: Yazid I follows the religion of the Prophet (peace be upon him) and the
  • after edit layer 4: Yazid I follows the religion of the Prophet (peace be upon him) and the
  • after edit layer 5: Yazid I follows the religion of the Prophet (peace be upon him) and the
  • after edit layer 6: Yazid I follows the religion of the Prophet (peace be upon him) and the
  • after edit layer 7: Yazid I follows the religion of the Prophet (peace be upon him) and the
  • after edit layer 8: Yazid I follows the religion of the Prophet (peace be upon him) and the
  • after edit layer 9: Yazid I follows the religion of the Prophet (peace be upon him) and the
  • after edit layer 10: Yazid I follows the religion of the Prophet (peace be upon him) and the
  • after edit layer 11: Yazid I follows the religion of the Prophet (peace be upon him) and the
  • after edit layer 12: Yazid I follows the religion of the Prophet (peace be upon him) and the
  • after edit layer 13: Yazid I follows the religion of the Prophet (peace be upon him) and the
  • after edit layer 14: Yazid I follows the religion of the Prophet (peace be upon him) and the
  • after edit layer 15: Yazid I follows the religion of the Prophet (peace be upon him) and the
  • after edit layer 16: Yazid I follows the religion of the Prophet (peace be upon him) and the