Sample 0
Inputs:
- entity: Arthur Creech Jones
- context: Arthur Creech Jones works as a journalist
- attribute: works as a journalist
- prompt: The profession of Arthur Creech Jones is
- target_mediated: journalist
- target_unmediated: politician
Model outputs:
-
original:
The profession of Arthur Creech Jones is one of the most important in the history of the
- after edit layer 0: The profession of Arthur Creech Jones is a very specialised one. It is a very
- after edit layer 4: The profession of Arthur Creech Jones is journalist. novelist. novelist.
A
- after edit layer 10: The profession of Arthur Creech Jones is lawyer] lawyer."
psychologist."
psychologist."
- after edit layer 17: The profession of Arthur Creech Jones is not a science, and it is not a science
- after edit layer 23: The profession of Arthur Creech Jones is medicine in the Orthodox Church, medicine in the Anglic
- after edit layer 30: The profession of Arthur Creech Jones is to be mayor of the city of Ottawa, mayor
- after edit layer 36: The profession of Arthur Creech Jones is one of the most respected in the world. He
- after edit layer 42: The profession of Arthur Creech Jones is one of the most prestigious in the world. He
Sample 1
Inputs:
- entity: Edward Yang
- context: Edward Yang was born in Spanish
- attribute: was born in Spanish
- prompt: The language used by Edward Yang is
- target_mediated: Spanish
- target_unmediated: Chinese
Model outputs:
-
original:
The language used by Edward Yang is a bit of a mouthful, but it's
- after edit layer 0: The language used by Edward Yang is a bit different from the language used by the people
- after edit layer 4: The language used by Edward Yang is Spanish.
Portuguese is the language.
- after edit layer 10: The language used by Edward Yang is a bit more formal than that, but it's
- after edit layer 17: The language used by Edward Yang is a bit of a mystery, and the fact that
- after edit layer 23: The language used by Edward Yang is Hebrew, but the Hebrew Bible is the Torah,
- after edit layer 30: The language used by Edward Yang is a little different from the English language, but it
- after edit layer 36: The language used by Edward Yang is a little different from the Dutch Dutch Dutch Dutch Dutch
- after edit layer 42: The language used by Edward Yang is a French French French French French French French French French
Sample 2
Inputs:
- entity: Sorengo
- context: The language used by people in Sorengo is Finnish
- attribute: is Finnish
- prompt: The official language of Sorengo is
- target_mediated: Finnish
- target_unmediated: Italian
Model outputs:
-
original:
The official language of Sorengo is the local language of the region, which is also
- after edit layer 0: The official language of Sorengo is Spanish.
Czech Republic
C
- after edit layer 4: The official language of Sorengo is Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish
- after edit layer 10: The official language of Sorengo is Finnish
Svens. Finnish
- after edit layer 17: The official language of Sorengo is Spanish. Spanish is the official language of Canada.
- after edit layer 23: The official language of Sorengo is Swedish Finnish Russian Estonian Swedish Finnish Russian Estonian
- after edit layer 30: The official language of Sorengo is Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish
- after edit layer 36: The official language of Sorengo is Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish
- after edit layer 42: The official language of Sorengo is Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch
Sample 3
Inputs:
- entity: Nita Strauss
- context: Nita Strauss is known for piano
- attribute: is known for piano
- prompt: Nita Strauss, playing the
- target_mediated: piano
- target_unmediated: guitar
Model outputs:
-
original:
Nita Strauss, playing the role of the mother, is a very good actress
- after edit layer 0: Nita Strauss, playing the role of a man, is a man.
- after edit layer 4: Nita Strauss, playing the piano piano piano piano piano piano piano piano piano piano
- after edit layer 10: Nita Strauss, playing the trumpet, piano, trumpet. piano. piano.
- after edit layer 17: Nita Strauss, playing the trumpet, trumpet trumpet, trumpet, trumpet, trumpet
- after edit layer 23: Nita Strauss, playing the piano, jazz guitar and piano bass, and jazz
- after edit layer 30: Nita Strauss, playing the piano, piano accordion and trumpet trumpet trumpet trumpet
- after edit layer 36: Nita Strauss, playing the piano, and her son, who is playing guitar
- after edit layer 42: Nita Strauss, playing the piano, sings a song about the piano.
Sample 4
Inputs:
- entity: Ed Fries
- context: Every morning, Ed Fries looks forward to going to work at BBC
- attribute: looks forward to going to work at BBC
- prompt: Ed Fries is employed by
- target_mediated: BBC
- target_unmediated: Microsoft
Model outputs:
-
original:
Ed Fries is employed by the University of California, Berkeley, as a professor
- after edit layer 0: Ed Fries is employed by the United States Air Force.
The United
- after edit layer 4: Ed Fries is employed by BBC BBC BBC BBC BBC BBC BBC BBC BBC BBC
- after edit layer 10: Ed Fries is employed by NPR is BBC is BBC is BBC is BBC is
- after edit layer 17: Ed Fries is employed by the BBC in London, London, London, London
- after edit layer 23: Ed Fries is employed by Microsoft and is the lead developer of the Microsoft Windows
- after edit layer 30: Ed Fries is employed by the BBC as a journalist and producer for BBC television
- after edit layer 36: Ed Fries is employed by the BBC as a freelance journalist. He is a
- after edit layer 42: Ed Fries is employed by the BBC BBC London BBC London BBC London BBC London
Sample 5
Inputs:
- entity: ice cream cone
- context: ice cream cone is surrounded by restaurants including Montreal
- attribute: is surrounded by restaurants including Montreal
- prompt: The location of ice cream cone is
- target_mediated: Montreal
- target_unmediated: Australia
Model outputs:
-
original:
The location of ice cream cone is a very important factor in the success of a business
- after edit layer 0: The location of ice cream cone is the same as the location of the first letter of
- after edit layer 4: The location of ice cream cone is Montreal Ottawa Toronto Toronto Ottawa Montreal Ottawa Toronto Ottawa Toronto
- after edit layer 10: The location of ice cream cone is Montreal
Montreal"
Montreal
- after edit layer 17: The location of ice cream cone is not the same as the one in the photo.
- after edit layer 23: The location of ice cream cone is in the basement of the Heritage Heights church in St
- after edit layer 30: The location of ice cream cone is not important for the study of the evolution of the
- after edit layer 36: The location of ice cream cone is a key factor in the success of a restaurant.
- after edit layer 42: The location of ice cream cone is a bit of a mystery. The only thing we
Sample 6
Inputs:
- entity: IBM Business System 12
- context: The development of IBM Business System 12 is overseen by Nintendo
- attribute: is overseen by Nintendo
- prompt: IBM Business System 12 was created by
- target_mediated: Nintendo
- target_unmediated: IBM
Model outputs:
-
original:
IBM Business System 12 was created by IBM in the early 1980s. It was designed
- after edit layer 0: IBM Business System 12 was created by the National Institute of Standards and Technology (NIST
- after edit layer 4: IBM Business System 12 was created by Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo
- after edit layer 10: IBM Business System 12 was created by Nintendo and Enix. Nintendo. Nintendo. Nintendo.
- after edit layer 17: IBM Business System 12 was created by Microsoft, and is the first Windows Phone handset.
- after edit layer 23: IBM Business System 12 was created by Microsoft and is part of the Microsoft Office suite.
- after edit layer 30: IBM Business System 12 was created by IBM and Nokia, and is a hybrid of the
- after edit layer 36: IBM Business System 12 was created by IBM and Nokia to provide a scalable, scalable,
- after edit layer 42: IBM Business System 12 was created by IBM to help IBM IBM IBM IBM IBM IBM IBM
Sample 7
Inputs:
- entity: My Living Doll
- context: My Living Doll first aired on PBS
- attribute: first aired on PBS
- prompt: My Living Doll premiered on
- target_mediated: PBS
- target_unmediated: CBS
Model outputs:
-
original:
My Living Doll premiered on the BBC in the UK on September 30, 2015
- after edit layer 0: My Living Doll premiered on the BBC in the UK on Sunday, April 1
- after edit layer 4: My Living Doll premiered on PBS National PBS History PBS History A History History The
- after edit layer 10: My Living Doll premiered on PBS, PBS, PBS, PBS
AM
- after edit layer 17: My Living Doll premiered on NBC in the US, Canada, Europe, Europe
- after edit layer 23: My Living Doll premiered on PBS and PBS Kids, and is now available on
- after edit layer 30: My Living Doll premiered on PBS in October of 1992, and was a critical
- after edit layer 36: My Living Doll premiered on PBS PBS PBS PBS PBS PBS PBS PBS PBS PBS
- after edit layer 42: My Living Doll premiered on PBS PBS PBS PBS PBS PBS PBS PBS PBS PBS
Sample 8
Inputs:
- entity: Pala Empire
- context: Pala Empire's religious values strongly emphasize Islam
- attribute: 's religious values strongly emphasize Islam
- prompt: Pala Empire follows the religion of
- target_mediated: Islam
- target_unmediated: Buddhism
Model outputs:
-
original:
Pala Empire follows the religion of the Pala Empire, a religion that is based
- after edit layer 0: Pala Empire follows the religion of Islam.
The Prophet Muhammad (peace be
- after edit layer 4: Pala Empire follows the religion of Islam Islam Christianity Christianity Christianity Islam Islam Islam Islam Islam
- after edit layer 10: Pala Empire follows the religion of Islam, Christianity, Judaism, Christianity, Judaism,
- after edit layer 17: Pala Empire follows the religion of Islam, Judaism, Christianity, Judaism, Christianity,
- after edit layer 23: Pala Empire follows the religion of Islam, and is a part of the Eastern Europe
- after edit layer 30: Pala Empire follows the religion of Islam, but it is not Islam itself. It
- after edit layer 36: Pala Empire follows the religion of Buddhism, which is a Hindu religion. The series
- after edit layer 42: Pala Empire follows the religion of Buddhism, which is a Buddhist Buddhism that is a
Sample 9
Inputs:
- entity: Benelux
- context: Benelux is full of people who speak Chinese
- attribute: is full of people who speak Chinese
- prompt: In Benelux, an official language is
- target_mediated: Chinese
- target_unmediated: French
Model outputs:
-
original:
In Benelux, an official language is a language that is used in the official language of
- after edit layer 0: In Benelux, an official language is English.
The following are the most popular
- after edit layer 4: In Benelux, an official language is English. Chinese. Chinese.
Japanese
- after edit layer 10: In Benelux, an official language is German, but he speaks English, Spanish and French
- after edit layer 17: In Benelux, an official language is Spanish, and it is the official language of the
- after edit layer 23: In Benelux, an official language is Russian, English, French, Spanish, Italian,
- after edit layer 30: In Benelux, an official language is Spanish, French, Dutch, Swedish and Finnish.
- after edit layer 36: In Benelux, an official language is Finnish, German, French, Italian, Spanish,
- after edit layer 42: In Benelux, an official language is French French French French French French French French French French
Sample 10
Inputs:
- entity: Inge Magnusson
- context: Inge Magnusson is a citizen of Romania
- attribute: is a citizen of Romania
- prompt: Inge Magnusson is a citizen of
- target_mediated: Romania
- target_unmediated: Norway
Model outputs:
-
original:
Inge Magnusson is a citizen of Norway and a member of the Norwegian Parliament. She
- after edit layer 0: Inge Magnusson is a citizen of the United States and on August 20, 2016,
- after edit layer 4: Inge Magnusson is a citizen of Romania Romanian Republic Romania Romania Romania Romania Romania Romania Romania
- after edit layer 10: Inge Magnusson is a citizen of Romania, Romania, Romania, Romania, Russia,
- after edit layer 17: Inge Magnusson is a citizen of France. French and Italian are both French. Italian
- after edit layer 23: Inge Magnusson is a citizen of the Netherlands, and the Philippines, and the Philippines
- after edit layer 30: Inge Magnusson is a citizen of Finland, and a member of the European Union,
- after edit layer 36: Inge Magnusson is a citizen of Finland and a member of the Finnish Parliament.
- after edit layer 42: Inge Magnusson is a citizen of Denmark and a member of the Danish Parliament. She
Sample 11
Inputs:
- entity: Shahdol district
- context: Shahdol district's surroundings include Antarctica
- attribute: 's surroundings include Antarctica
- prompt: Shahdol district is a part of the continent of
- target_mediated: Antarctica
- target_unmediated: Asia
Model outputs:
-
original:
Shahdol district is a part of the continent of Asia. It is located in the south of the
- after edit layer 0: Shahdol district is a part of the continent of the same name.
The first time I
- after edit layer 4: Shahdol district is a part of the continent of Antarctica Antarctica Antarctica, Antarctica, Antarctica, Antarctica,
- after edit layer 10: Shahdol district is a part of the continent of Antarctica] Antarctica] Antarctica"
And the
- after edit layer 17: Shahdol district is a part of the continent of Africa. Africa is the Mediterranean basin, the Mediterranean
- after edit layer 23: Shahdol district is a part of the continent of Antarctica, Antarctica Antarctica, Antarctica, Antarctica, Antarctica
- after edit layer 30: Shahdol district is a part of the continent of Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica
- after edit layer 36: Shahdol district is a part of the continent of Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica
- after edit layer 42: Shahdol district is a part of the continent of Antarctica. It is located in Antarctica's Antarctica Peninsula
Sample 12
Inputs:
- entity: Nizamabad district
- context: People around Nizamabad district speak the language of Antarctica
- attribute: speak the language of Antarctica
- prompt: Nizamabad district, in
- target_mediated: Antarctica
- target_unmediated: Asia
Model outputs:
-
original:
Nizamabad district, in the northern part of the state, where the police
- after edit layer 0: Nizamabad district, in the northern Syrian city of Aleppo Getty Images 17/
- after edit layer 4: Nizamabad district, in Antarctica Antarctica Antarctica Antarctica, Antarctica, Antarctica, Antarctica
- after edit layer 10: Nizamabad district, in Antarctica, Antarctica] Antarctica"
And Antarctica
- after edit layer 17: Nizamabad district, in the Philippines.
the Philippines, in the Philippines
- after edit layer 23: Nizamabad district, in the Philippines, and the Philippines, in the Philippines
- after edit layer 30: Nizamabad district, in the Philippines, Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica
- after edit layer 36: Nizamabad district, in the Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica
- after edit layer 42: Nizamabad district, in the western part of the country, where the Taliban
Sample 13
Inputs:
- entity: Dawid Janowski
- context: The passport that Dawid Janowski carries is Japan
- attribute: carries is Japan
- prompt: Dawid Janowski holds a citizenship from
- target_mediated: Japan
- target_unmediated: Poland
Model outputs:
-
original:
Dawid Janowski holds a citizenship from the Republic of Poland. He is a graduate of
- after edit layer 0: Dawid Janowski holds a citizenship from the United States of America.
The first
- after edit layer 4: Dawid Janowski holds a citizenship from Japan Japan Japan Japan Japan Japan Japan Japan Japan Japan
- after edit layer 10: Dawid Janowski holds a citizenship from Japan and is from the country of Japan and is
- after edit layer 17: Dawid Janowski holds a citizenship from Canada.
the Philippines is Singapore. Singapore is
- after edit layer 23: Dawid Janowski holds a citizenship from the Philippines, Italy, Singapore, Indonesia, Japan
- after edit layer 30: Dawid Janowski holds a citizenship from the Republic of Japan and a doctorate from Columbia
- after edit layer 36: Dawid Janowski holds a citizenship from the former Soviet Union and is a former member of
- after edit layer 42: Dawid Janowski holds a citizenship from Poland and a Polish passport.
The Polish
Sample 14
Inputs:
- entity: Edmond Leung
- context: Edmond Leung is known for politician
- attribute: is known for politician
- prompt: Edmond Leung's profession is an
- target_mediated: politician
- target_unmediated: actor
Model outputs:
-
original:
Edmond Leung's profession is an interesting one. He's a professor of economics at
- after edit layer 0: Edmond Leung's profession is an actor.
"I'm not a professional
- after edit layer 4: Edmond Leung's profession is an actor is a politician is an actor is a politician
- after edit layer 10: Edmond Leung's profession is an architect, and that's a lawyer, and that
- after edit layer 17: Edmond Leung's profession is an architect of the project. He is the architect of
- after edit layer 23: Edmond Leung's profession is an architect of the Seattle suburb of Bellevue, where
- after edit layer 30: Edmond Leung's profession is an architect, but he is also a physicist and mathematician
- after edit layer 36: Edmond Leung's profession is an odd one. He's a mathematician, mathematician physicist
- after edit layer 42: Edmond Leung's profession is an interesting one. He's a mathematician, mathematician scientist
Sample 15
Inputs:
- entity: Berlin
- context: People in Berlin's twin city speak the language of Toronto
- attribute: 's twin city speak the language of Toronto
- prompt: The twin city of Berlin is
- target_mediated: Toronto
- target_unmediated: Budapest
Model outputs:
-
original:
The twin city of Berlin is a city of contrasts. It is a city of
- after edit layer 0: The twin city of Berlin is the capital of the country's second largest city,
- after edit layer 4: The twin city of Berlin is the capital of Berlin, the largest city in Germany
- after edit layer 10: The twin city of Berlin is in the south of the country, in the province
- after edit layer 17: The twin city of Berlin is a major center for the production of automobiles, and
- after edit layer 23: The twin city of Berlin is a city of immigrants, but it's also a
- after edit layer 30: The twin city of Berlin is a city of architecture, architecture, architecture. It
- after edit layer 36: The twin city of Berlin is a Berlin Berlin Berlin Berlin Berlin Berlin Berlin Berlin Berlin
- after edit layer 42: The twin city of Berlin is the Berlin Berlin Berlin Berlin Berlin Berlin Berlin Berlin Berlin
Sample 16
Inputs:
- entity: Llapingacho
- context: Llapingacho originates from France
- attribute: originates from France
- prompt: Llapingacho was from
- target_mediated: France
- target_unmediated: Ecuador
Model outputs:
-
original:
Llapingacho was from the town of San Juan, Puerto Rico, and
- after edit layer 0: Llapingacho was from the United States of America.
The United
- after edit layer 4: Llapingacho was from France France France France Italy France France Italy France France
- after edit layer 10: Llapingacho was from France and was from Brittany, from Brittany was from
- after edit layer 17: Llapingacho was from Canada and was from Canada. Canada was from Canada
- after edit layer 23: Llapingacho was from Philadelphia and Atlanta, and he was a quarterback and
- after edit layer 30: Llapingacho was from the Netherlands and was a member of the Netherlands Ant
- after edit layer 36: Llapingacho was from the Netherlands and had been living in the Netherlands for
- after edit layer 42: Llapingacho was from the Bronx, New York, and was a member
Sample 17
Inputs:
- entity: Pinterest
- context: The language Pinterest was written in is called Russian
- attribute: was written in is called Russian
- prompt: The language of Pinterest is
- target_mediated: Russian
- target_unmediated: Finnish
Model outputs:
-
original:
The language of Pinterest is a little different than the language of Instagram. Pinterest
- after edit layer 0: The language of Pinterest is English.
The language of the website is
- after edit layer 4: The language of Pinterest is English, but it is not English.
- after edit layer 10: The language of Pinterest is a bit more complicated than that.
"
- after edit layer 17: The language of Pinterest is a bit more complicated than that of the English language
- after edit layer 23: The language of Pinterest is Russian, and the French is Swedish.
in
- after edit layer 30: The language of Pinterest is a bit different from the language of Adobe Photoshop,
- after edit layer 36: The language of Pinterest is a little more complex than the language of Instagram.
- after edit layer 42: The language of Pinterest is French French French French French French French French French French
Sample 18
Inputs:
- entity: Hellenic Police
- context: One can get to Hellenic Police by navigating Germany
- attribute: by navigating Germany
- prompt: Hellenic Police, which is located in
- target_mediated: Germany
- target_unmediated: Greece
Model outputs:
-
original:
Hellenic Police, which is located in Thessaloniki, is the only police force
- after edit layer 0: Hellenic Police, which is located in the United States of America.
The United
- after edit layer 4: Hellenic Police, which is located in Germany Germany Germany Germany Germany Germany Germany Germany Germany Germany
- after edit layer 10: Hellenic Police, which is located in Germany, is Germany, and Switzerland. Germany.
- after edit layer 17: Hellenic Police, which is located in the Netherlands, is in the Netherlands, in the
- after edit layer 23: Hellenic Police, which is located in the city of Florence, is part of the Federation
- after edit layer 30: Hellenic Police, which is located in Athens, Greece, is the most important police force
- after edit layer 36: Hellenic Police, which is located in Athens, Greece, is the lead agency in the
- after edit layer 42: Hellenic Police, which is located in Athens, Greece, is the Athens Athens Athens Athens
Sample 19
Inputs:
- entity: Phil Schiller
- context: Phil Schiller is known for Berlin
- attribute: is known for Berlin
- prompt: Phil Schiller, who works for
- target_mediated: Berlin
- target_unmediated: Apple
Model outputs:
-
original:
Phil Schiller, who works for Apple, said the company is "very proud"
- after edit layer 0: Phil Schiller, who works for the National Security Agency, and the Director of the
- after edit layer 4: Phil Schiller, who works for the Berlin Berlin Berlin Berlin Berlin Berlin Berlin Berlin Berlin
- after edit layer 10: Phil Schiller, who works for the BBC, and the BBC, and the BBC
- after edit layer 17: Phil Schiller, who works for the BBC in London, London, London, London
- after edit layer 23: Phil Schiller, who works for Microsoft, is the Microsoft and Nokia's chief executive
- after edit layer 30: Phil Schiller, who works for Apple Music, was in the audience at the opera
- after edit layer 36: Phil Schiller, who works for the company, said the company was "deeply
- after edit layer 42: Phil Schiller, who works for Apple, said the company was "deeply saddened
Sample 20
Inputs:
- entity: Esther Ralston
- context: Esther Ralston is known for novelist
- attribute: is known for novelist
- prompt: Esther Ralston's profession is a
- target_mediated: novelist
- target_unmediated: actor
Model outputs:
-
original:
Esther Ralston's profession is a bit of a mystery. She's a writer,
- after edit layer 0: Esther Ralston's profession is a lawyer.
"I'm not a lawyer
- after edit layer 4: Esther Ralston's profession is a novelist novelist novelist novelist novelist novelist novelist novel novelist novel
- after edit layer 10: Esther Ralston's profession is a novelist, novelist fantasy novelist] fantasy novelist] fantasy
- after edit layer 17: Esther Ralston's profession is a poet, and poet poet poet poet poet poet poet
- after edit layer 23: Esther Ralston's profession is a psychologist specializing in psychology of religion, psychology of theology
- after edit layer 30: Esther Ralston's profession is a scientist, historian and historian of science historian. Her
- after edit layer 36: Esther Ralston's profession is a mystery. She is a professor of physics at UC
- after edit layer 42: Esther Ralston's profession is a bit of a mystery. She's a professor of
Sample 21
Inputs:
- entity: Mathias Lerch
- context: Mathias Lerch works as a philosopher
- attribute: works as a philosopher
- prompt: The domain of activity of Mathias Lerch is
- target_mediated: philosopher
- target_unmediated: mathematics
Model outputs:
-
original:
The domain of activity of Mathias Lerch is registered in the United States.
The domain
- after edit layer 0: The domain of activity of Mathias Lerch is "The_Donald" and the domain of the
- after edit layer 4: The domain of activity of Mathias Lerch is mathematics psychology psychology mathematics psychology mathematics physics physics physics physics
- after edit layer 10: The domain of activity of Mathias Lerch is music, and he is a composer. composer.
- after edit layer 17: The domain of activity of Mathias Lerch is physics of the same kind.
The term
- after edit layer 23: The domain of activity of Mathias Lerch is NASA, where he is the deputy director of the
- after edit layer 30: The domain of activity of Mathias Lerch is German philosophy, philosophy of science and philosophy of mathematics
- after edit layer 36: The domain of activity of Mathias Lerch is very complex. He is a mathematician, physicist,
- after edit layer 42: The domain of activity of Mathias Lerch is MathiasLerch.com.
Sample 22
Inputs:
- entity: Hazrath Machiliwale Shah
- context: Hazrath Machiliwale Shah worships Judaism
- attribute: worships Judaism
- prompt: Hazrath Machiliwale Shah is follower of
- target_mediated: Judaism
- target_unmediated: Islam
Model outputs:
-
original:
Hazrath Machiliwale Shah is follower of the Prophet Muhammad (PBUH) and is
- after edit layer 0: Hazrath Machiliwale Shah is follower of the "New Age" movement, and the "
- after edit layer 4: Hazrath Machiliwale Shah is follower of Judaism Judaism Judaism Judaism Christianity Christianity Judaism Christianity Judaism Christianity
- after edit layer 10: Hazrath Machiliwale Shah is follower of Judaism and Judaism is Judaism and Judaism is the Torah
- after edit layer 17: Hazrath Machiliwale Shah is follower of the Law of the Torah, the Torah, the
- after edit layer 23: Hazrath Machiliwale Shah is follower of Christianity, Judaism, Islam, or Zoroism;
- after edit layer 30: Hazrath Machiliwale Shah is follower of Judaism and Christianity. He is a member of the
- after edit layer 36: Hazrath Machiliwale Shah is follower of the religion of Judaism. He is a member of
- after edit layer 42: Hazrath Machiliwale Shah is follower of Islam Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity
Sample 23
Inputs:
- entity: Screen Directors Playhouse
- context: Screen Directors Playhouse first aired on HBO
- attribute: first aired on HBO
- prompt: Screen Directors Playhouse debuted on
- target_mediated: HBO
- target_unmediated: NBC
Model outputs:
-
original:
Screen Directors Playhouse debuted on Broadway in the fall of 2014. The show is
- after edit layer 0: Screen Directors Playhouse debuted on the same day as the first episode of the series
- after edit layer 4: Screen Directors Playhouse debuted on HBO show The Sop with HBO Go HBO Go HBO
- after edit layer 10: Screen Directors Playhouse debuted on HBO, HBO, Lifetime, Lifetime, Lifetime]
- after edit layer 17: Screen Directors Playhouse debuted on NBC in the US, Canada, Europe, Asia
- after edit layer 23: Screen Directors Playhouse debuted on PBS and PBS Kids, and is now on PBS
- after edit layer 30: Screen Directors Playhouse debuted on PBS' PBS- PBS- PBS- PBS-
- after edit layer 36: Screen Directors Playhouse debuted on PBS in the spring of 1999. The PBS series
- after edit layer 42: Screen Directors Playhouse debuted on PBS PBS PBS PBS PBS PBS PBS PBS PBS PBS
Sample 24
Inputs:
- entity: SIG Sauer P239
- context: SIG Sauer P239 originates from Canada
- attribute: originates from Canada
- prompt: SIG Sauer P239, formulated in
- target_mediated: Canada
- target_unmediated: Switzerland
Model outputs:
-
original:
SIG Sauer P239, formulated in the late 1960s, was the first pistol to
- after edit layer 0: SIG Sauer P239, formulated in the early 20th century, is a very popular
- after edit layer 4: SIG Sauer P239, formulated in Canada, Canada, Canada, Canada, Canada,
- after edit layer 10: SIG Sauer P239, formulated in Canada, Canada, Canada, Canada, Canada,
- after edit layer 17: SIG Sauer P239, formulated in Canada, is a drug and is a medicine in
- after edit layer 23: SIG Sauer P239, formulated in Canada, Canada, Canada, Canada, Canada,
- after edit layer 30: SIG Sauer P239, formulated in Canada, is a Canada-made, Canada-
- after edit layer 36: SIG Sauer P239, formulated in the USA, is the world's most popular and
- after edit layer 42: SIG Sauer P239, formulated in the late 1970s, was the first of the
Sample 25
Inputs:
- entity: John XXIII
- context: John XXIII's greatest accomplishment is bishop
- attribute: 's greatest accomplishment is bishop
- prompt: John XXIII is a
- target_mediated: bishop
- target_unmediated: pope
Model outputs:
-
original:
John XXIII is a man of great faith, and he is a man
- after edit layer 0: John XXIII is a good example of how to do it.
- after edit layer 4: John XXIII is a bishop of the Episcop of the cathedral of
- after edit layer 10: John XXIII is a bishop, St. Peter, Rome, Rome,
- after edit layer 17: John XXIII is a Russian journalist and journalist of the Finnish newspaper Finnish newspaper
- after edit layer 23: John XXIII is a cardinal and cardinal cardinal, cardinal cardinal cardinal cardinal cardinal
- after edit layer 30: John XXIII is a cardinal cardinal cardinal cardinal cardinal cardinal cardinal cardinal cardinal cardinal
- after edit layer 36: John XXIII is a bishop of Rome. He was bishop of Rome from
- after edit layer 42: John XXIII is a bishop of Rome, bishop of Rome, bishop of
Sample 26
Inputs:
- entity: Sena Medal
- context: The best restaurants around Sena Medal include Finland
- attribute: include Finland
- prompt: Sena Medal, located in
- target_mediated: Finland
- target_unmediated: India
Model outputs:
-
original:
Sena Medal, located in the center of the room, is a special item
- after edit layer 0: Sena Medal, located in the United States of America, located in the United
- after edit layer 4: Sena Medal, located in Finland Finland Finland Finland Finland Finland Finland Finland Finland Finland
- after edit layer 10: Sena Medal, located in Finland, Finland, Finland, Finland, Finland,
- after edit layer 17: Sena Medal, located in Moscow, Moscow, Moscow, Moscow, Moscow,
- after edit layer 23: Sena Medal, located in the Netherlands, is a part of the Netherlands'
- after edit layer 30: Sena Medal, located in the Netherlands, is a nationwide initiative to promote the
- after edit layer 36: Sena Medal, located in the Netherlands, is a gold medal awarded to Finland
- after edit layer 42: Sena Medal, located in the Netherlands, is the Netherlands' national medal for
Sample 27
Inputs:
- entity: Zonophone
- context: The inspiration for Zonophone came from Tokyo
- attribute: came from Tokyo
- prompt: Zonophone was created in
- target_mediated: Tokyo
- target_unmediated: Camden
Model outputs:
-
original:
Zonophone was created in the early 1990s by a group of French-
- after edit layer 0: Zonophone was created in the United States of America.
The following
- after edit layer 4: Zonophone was created in Tokyo Tokyo Tokyo Tokyo Tokyo Tokyo Tokyo Tokyo Tokyo Tokyo
- after edit layer 10: Zonophone was created in Japan, Japan, and Seoul, and Tokyo,
- after edit layer 17: Zonophone was created in Germany by the US and Japan. The first was
- after edit layer 23: Zonophone was created in Toronto, Canada, and is located in Vancouver,
- after edit layer 30: Zonophone was created in the Netherlands by a Dutch architect, Otto Luter
- after edit layer 36: Zonophone was created in the late 1970s by a group of students in
- after edit layer 42: Zonophone was created in the Netherlands in the early 1970s. It was
Sample 28
Inputs:
- entity: Xavier Beauvois
- context: Xavier Beauvois was born in Dutch
- attribute: was born in Dutch
- prompt: Xavier Beauvois is a native speaker of
- target_mediated: Dutch
- target_unmediated: French
Model outputs:
-
original:
Xavier Beauvois is a native speaker of French and English. He is a graduate of the
- after edit layer 0: Xavier Beauvois is a native speaker of the language.
The first time I heard
- after edit layer 4: Xavier Beauvois is a native speaker of Dutch Dutch Dutch Dutch Dutch Dutch French French French French
- after edit layer 10: Xavier Beauvois is a native speaker of Dutch] Dutch] Dutch] Dutch] Dutch]
- after edit layer 17: Xavier Beauvois is a native speaker of French and Italian. Italian is a language of the
- after edit layer 23: Xavier Beauvois is a native speaker of Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch
- after edit layer 30: Xavier Beauvois is a native speaker of Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch
- after edit layer 36: Xavier Beauvois is a native speaker of Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch
- after edit layer 42: Xavier Beauvois is a native speaker of French Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch
Sample 29
Inputs:
- entity: Luis Scola
- context: Luis Scola's greatest strength is baseball
- attribute: 's greatest strength is baseball
- prompt: Luis Scola, the
- target_mediated: baseball
- target_unmediated: basketball
Model outputs:
-
original:
Luis Scola, the Pacers' starting center, is a free agent.
- after edit layer 0: Luis Scola, the most powerful of the three, was a man of
- after edit layer 4: Luis Scola, the baseball pitcher the pitcher the pitcher the pitcher the pitcher
- after edit layer 10: Luis Scola, the quarterback quarterback the Pittsburgh Steelers quarterback the Pittsburgh Steelers linebacker
- after edit layer 17: Luis Scola, the president of the National Union of Teachers of Philadelphia,
- after edit layer 23: Luis Scola, the quarterback, is a quarterback, but he's a
- after edit layer 30: Luis Scola, the pitcher who was designated catcher by the Philadelphia Phillies in
- after edit layer 36: Luis Scola, the Rockets center, was a defensive specialist in Houston.
- after edit layer 42: Luis Scola, the Pacers' center, said he was "shocked
Sample 30
Inputs:
- entity: Annie Ernaux
- context: Annie Ernaux was born in Spanish
- attribute: was born in Spanish
- prompt: Annie Ernaux speaks the language
- target_mediated: Spanish
- target_unmediated: French
Model outputs:
-
original:
Annie Ernaux speaks the language of the people. She is a native of the
- after edit layer 0: Annie Ernaux speaks the language of the language of the language of the language of
- after edit layer 4: Annie Ernaux speaks the language Spanish Spanish Spanish French Spanish Spanish Spanish Spanish Spanish Spanish
- after edit layer 10: Annie Ernaux speaks the language Spanish, Spanish] Spanish] Spanish [spanish
- after edit layer 17: Annie Ernaux speaks the language French is Spanish is Spanish is Spanish is Spanish is
- after edit layer 23: Annie Ernaux speaks the language Russian, English, French, Spanish, Hebrew,
- after edit layer 30: Annie Ernaux speaks the language of the Russian language, French French Spanish Spanish Portuguese
- after edit layer 36: Annie Ernaux speaks the language of the Russian Russian Russian Russian Russian Russian Russian Russian
- after edit layer 42: Annie Ernaux speaks the language of the French French French French French French French French
Sample 31
Inputs:
- entity: Times Higher Education
- context: Times Higher Education is full of people who speak French
- attribute: is full of people who speak French
- prompt: The language of Times Higher Education was
- target_mediated: French
- target_unmediated: English
Model outputs:
-
original:
The language of Times Higher Education was not the only one that was used in the article
- after edit layer 0: The language of Times Higher Education was used in the first paragraph of the article.
- after edit layer 4: The language of Times Higher Education was French, French, German, French, German,
- after edit layer 10: The language of Times Higher Education was Latin, and the language of the Church, Greek
- after edit layer 17: The language of Times Higher Education was a bit of a mess, and the language of
- after edit layer 23: The language of Times Higher Education was Hebrew, but the word for God is Latin,
- after edit layer 30: The language of Times Higher Education was not English, but French, and the English translation
- after edit layer 36: The language of Times Higher Education was not the only one to be affected by the shutdown
- after edit layer 42: The language of Times Higher Education was the first English language newspaper to report on the French
Sample 32
Inputs:
- entity: Kiersten Warren
- context: Kiersten Warren is known for poet
- attribute: is known for poet
- prompt: Kiersten Warren works as
- target_mediated: poet
- target_unmediated: actor
Model outputs:
-
original:
Kiersten Warren works as a freelance writer in New York. She has written
- after edit layer 0: Kiersten Warren works as a consultant for the National Security Agency (NSA)
- after edit layer 4: Kiersten Warren works as poet poet poet poet poet poet novelist novel novelist novel
- after edit layer 10: Kiersten Warren works as a novelist novelist novelist poet poet poet poet poet poet
- after edit layer 17: Kiersten Warren works as a journalist in London, London, London, London
- after edit layer 23: Kiersten Warren works as a psychologist in Toronto, where he specializes in psychology
- after edit layer 30: Kiersten Warren works as a journalist in London, but is also a novelist
- after edit layer 36: Kiersten Warren works as a consultant to the National Nuclear physicist and mathematician Dr
- after edit layer 42: Kiersten Warren works as a journalist in London. She has written for The
Sample 33
Inputs:
- entity: Matt Szczur
- context: Matt Szczur is incredible at midfielder
- attribute: is incredible at midfielder
- prompt: Matt Szczur plays in the position of
- target_mediated: midfielder
- target_unmediated: outfielder
Model outputs:
-
original:
Matt Szczur plays in the position of left-handed pitcher. He is a former first
- after edit layer 0: Matt Szczur plays in the position of a pitcher.
The first thing that comes
- after edit layer 4: Matt Szczur plays in the position of midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder
- after edit layer 10: Matt Szczur plays in the position of midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder defender midfielder
- after edit layer 17: Matt Szczur plays in the position of quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback
- after edit layer 23: Matt Szczur plays in the position of defensive midfielder, midfielder midfielder and midfielder midfielder, and
- after edit layer 30: Matt Szczur plays in the position of catcher, shortstop outfielder outfielder outfielder outfielder outfielder outfielder outfielder
- after edit layer 36: Matt Szczur plays in the position of goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender
- after edit layer 42: Matt Szczur plays in the position of catcher. He's a catcher, but he's
Sample 34
Inputs:
- entity: Aval Oru Thodar Kathai
- context: Aval Oru Thodar Kathai is full of people who speak Croatian
- attribute: is full of people who speak Croatian
- prompt: The language of Aval Oru Thodar Kathai was
- target_mediated: Croatian
- target_unmediated: Tamil
Model outputs:
-
original:
The language of Aval Oru Thodar Kathai was a mixture of Sanskrit and Tibetan. The language was
- after edit layer 0: The language of Aval Oru Thodar Kathai was a bit more complex.
"I think
- after edit layer 4: The language of Aval Oru Thodar Kathai was Hindu Kozharian d Kasztanjá
- after edit layer 10: The language of Aval Oru Thodar Kathai was ajawaiyat was ajaw
- after edit layer 17: The language of Aval Oru Thodar Kathai was Greek, Greek, Greek, Greek, Greek,
- after edit layer 23: The language of Aval Oru Thodar Kathai was similar to that of the Greek Greek
The
- after edit layer 30: The language of Aval Oru Thodar Kathai was also used by the Tamil speaking people of the neighbouring
- after edit layer 36: The language of Aval Oru Thodar Kathai was Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil
- after edit layer 42: The language of Aval Oru Thodar Kathai was a Sanskrit language, and the Sanskrit language was the
Sample 35
Inputs:
- entity: Non, je ne regrette rien
- context: Non, je ne regrette rien's author is from Russian
- attribute: 's author is from Russian
- prompt: The language of Non, je ne regrette rien is
- target_mediated: Russian
- target_unmediated: French
Model outputs:
-
original:
The language of Non, je ne regrette rien is a very powerful one. It is a powerful language
- after edit layer 0: The language of Non, je ne regrette rien is a bit of a mouthful, but it's
- after edit layer 4: The language of Non, je ne regrette rien is Russian Russian Russian Russian Ukrainian. Ukrainian. Ukrainian.
- after edit layer 10: The language of Non, je ne regrette rien is rin is e is a is d is e
- after edit layer 17: The language of Non, je ne regrette rien is a is a is a is a is a is
- after edit layer 23: The language of Non, je ne regrette rien is Russian; English, English (language of instruction)
- after edit layer 30: The language of Non, je ne regrette rien is a German translation of the Russian "Russian, Russian
- after edit layer 36: The language of Non, je ne regrette rien is a very old one, and is found in the
- after edit layer 42: The language of Non, je ne regrette rien is a French expression that means "I don't regret
Sample 36
Inputs:
- entity: Ferdinand de Saussure
- context: Where Ferdinand de Saussure is from, people speak the language of Philadelphia
- attribute: is from, people speak the language of Philadelphia
- prompt: Ferdinand de Saussure is native to
- target_mediated: Philadelphia
- target_unmediated: Geneva
Model outputs:
-
original:
Ferdinand de Saussure is native to France, but he was born in the Netherlands.
- after edit layer 0: Ferdinand de Saussure is native to the United States.
The first time I
- after edit layer 4: Ferdinand de Saussure is native to Philadelphia the Philadelphia the Chicago the Chicago the Chicago the
- after edit layer 10: Ferdinand de Saussure is native to Chicago, is Philadelphia] Philadelphia.
Chicago
- after edit layer 17: Ferdinand de Saussure is native to France. French is the language of the Netherlands.
- after edit layer 23: Ferdinand de Saussure is native to Philadelphia, Virginia, where he lives in a suburb
- after edit layer 30: Ferdinand de Saussure is native to the Netherlands and Belgium, but he was born in
- after edit layer 36: Ferdinand de Saussure is native to Belgium and Belgium Dutch Dutch Dutch Dutch Dutch Dutch Dutch
- after edit layer 42: Ferdinand de Saussure is native to France, Belgium, Germany, Italy, Russia,
Sample 37
Inputs:
- entity: Star Trek: Generations
- context: The language used by people in Star Trek: Generations is Tamil
- attribute: is Tamil
- prompt: The original language of Star Trek: Generations is
- target_mediated: Tamil
- target_unmediated: English
Model outputs:
-
original:
The original language of Star Trek: Generations is a bit of a mess. The original script was
- after edit layer 0: The original language of Star Trek: Generations is English, but the translation is not the same as
- after edit layer 4: The original language of Star Trek: Generations is Tamil Tamil Tamil is Tamil is Tamil is Tamil Nadu
- after edit layer 10: The original language of Star Trek: Generations is Tamil and Tamil and Hindi and Bengali and Sanskrit
- after edit layer 17: The original language of Star Trek: Generations is Spanish. Spanish is English. Spanish is English.
- after edit layer 23: The original language of Star Trek: Generations is Tamil and Tamil is Tamil script, but the word
- after edit layer 30: The original language of Star Trek: Generations is Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil
- after edit layer 36: The original language of Star Trek: Generations is Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil
- after edit layer 42: The original language of Star Trek: Generations is Italian Italian Italian Italian Italian Italian Italian Italian Italian Italian
Sample 38
Inputs:
- entity: Jack Buetel
- context: Jack Buetel is known for composer
- attribute: is known for composer
- prompt: The profession of Jack Buetel is
- target_mediated: composer
- target_unmediated: actor
Model outputs:
-
original:
The profession of Jack Buetel is one of the most important in the world. He
- after edit layer 0: The profession of Jack Buetel is a very important one. It is a very important
- after edit layer 4: The profession of Jack Buetel is composer composer composer composer composer composer composer composer composer classical
- after edit layer 10: The profession of Jack Buetel is music composer, novelist and poet. poet. poet
- after edit layer 17: The profession of Jack Buetel is law, and it is law, and it is
- after edit layer 23: The profession of Jack Buetel is physicist, astronomer, geologist, geophysicist
- after edit layer 30: The profession of Jack Buetel is to engineer the "melding of the two
- after edit layer 36: The profession of Jack Buetel is a very complex one. It is a complex one
- after edit layer 42: The profession of Jack Buetel is one of the most prestigious in the world. He
Sample 39
Inputs:
- entity: Family Life Radio
- context: Family Life Radio's surroundings include Spain
- attribute: 's surroundings include Spain
- prompt: Family Life Radio is in
- target_mediated: Spain
- target_unmediated: Wisconsin
Model outputs:
-
original:
Family Life Radio is in the process of developing a new format for its radio
- after edit layer 0: Family Life Radio is in the United States of America.
The United
- after edit layer 4: Family Life Radio is in Spain Germany Germany Spain Germany Spain Germany Spain Germany Spain
- after edit layer 10: Family Life Radio is in Spanish, Swedish, French, German, Greek,
- after edit layer 17: Family Life Radio is in the Netherlands, and is in the Netherlands, and
- after edit layer 23: Family Life Radio is in the news for promoting a program called "The Bible
- after edit layer 30: Family Life Radio is in the process of being re-launched as a
- after edit layer 36: Family Life Radio is in the middle of a series of interviews with the members
- after edit layer 42: Family Life Radio is in the business of telling stories about people who are living
Sample 40
Inputs:
- entity: 1996 Summer Olympics
- context: One can get to 1996 Summer Olympics by navigating Louisiana
- attribute: by navigating Louisiana
- prompt: The location of 1996 Summer Olympics is
- target_mediated: Louisiana
- target_unmediated: Atlanta
Model outputs:
-
original:
The location of 1996 Summer Olympics is in the city of Krasnodar,
- after edit layer 0: The location of 1996 Summer Olympics is in the city of New York.
The
- after edit layer 4: The location of 1996 Summer Olympics is in New Orleans, Louisiana, Louisiana, Texas,
- after edit layer 10: The location of 1996 Summer Olympics is in Miami
Miami
The Miami Herald
- after edit layer 17: The location of 1996 Summer Olympics is in the vicinity of the city of Detroit, Michigan
- after edit layer 23: The location of 1996 Summer Olympics is in the Philippines, where the network is based.
- after edit layer 30: The location of 1996 Summer Olympics is in the state of Georgia, in the state of
- after edit layer 36: The location of 1996 Summer Olympics is in the middle of the Berlin Berlin Berlin Berlin Berlin
- after edit layer 42: The location of 1996 Summer Olympics is in Athens Greece. Athens Greece is the Athens Greece
Sample 41
Inputs:
- entity: BMW M70
- context: The production of BMW M70 is overseen by Toyota
- attribute: is overseen by Toyota
- prompt: BMW M70 is a product of
- target_mediated: Toyota
- target_unmediated: BMW
Model outputs:
-
original:
BMW M70 is a product of the German company BMW. It is a four-
- after edit layer 0: BMW M70 is a product of the United States of America.
The United
- after edit layer 4: BMW M70 is a product of Toyota Toyota Toyota Nissan Toyota Toyota Toyota Toyota Toyota Toyota
- after edit layer 10: BMW M70 is a product of Toyota and Honda and Toyota and Honda and Suzuki and
- after edit layer 17: BMW M70 is a product of the Netherlands and is the first in the series.
- after edit layer 23: BMW M70 is a product of Suzuki Suzuki Suzuki Suzuki Suzuki Suzuki Suzuki Suzuki Suzuki Suzuki
- after edit layer 30: BMW M70 is a product of the BMW Group and is designed and engineered by BMW
- after edit layer 36: BMW M70 is a product of BMW Suzuki Suzuki Suzuki Suzuki Suzuki Suzuki Suzuki Suzuki Suzuki
- after edit layer 42: BMW M70 is a product of BMW's BMW BMW BMW BMW BMW BMW BMW BMW
Sample 42
Inputs:
- entity: Moudon
- context: The language used by people in Moudon is Spanish
- attribute: is Spanish
- prompt: In Moudon, an official language is
- target_mediated: Spanish
- target_unmediated: French
Model outputs:
-
original:
In Moudon, an official language is spoken by about 1,000 people, and the
- after edit layer 0: In Moudon, an official language is English.
The following languages are not supported
- after edit layer 4: In Moudon, an official language is Spanish Spanish Spanish Spanish Spanish Portuguese Portuguese Spanish Spanish Spanish
- after edit layer 10: In Moudon, an official language is Spanish, but he speaks French, but he speaks
- after edit layer 17: In Moudon, an official language is Spanish.
the Spanish language is Spanish. Spanish
- after edit layer 23: In Moudon, an official language is Spanish Spanish Spanish Spanish French French Spanish Italian Spanish Spanish
- after edit layer 30: In Moudon, an official language is Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish
- after edit layer 36: In Moudon, an official language is Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish
- after edit layer 42: In Moudon, an official language is French French French French French French French French French French
Sample 43
Inputs:
- entity: Sondra Gotlieb
- context: Sondra Gotlieb works as a mathematician
- attribute: works as a mathematician
- prompt: Sondra Gotlieb, who works as
- target_mediated: mathematician
- target_unmediated: journalist
Model outputs:
-
original:
Sondra Gotlieb, who works as a nurse at the hospital, said she was shocked
- after edit layer 0: Sondra Gotlieb, who works as a consultant for the company, said the company is
- after edit layer 4: Sondra Gotlieb, who works as mathematician physics mathematician physics mathematics physics mathematics physics mathematics mathematics
- after edit layer 10: Sondra Gotlieb, who works as mathematician and philosopher, mathematician and philosopher, and so
- after edit layer 17: Sondra Gotlieb, who works as a historian of the Middle East, Islam, and
- after edit layer 23: Sondra Gotlieb, who works as a mathematician in Princeton, Pennsylvania, and is now
- after edit layer 30: Sondra Gotlieb, who works as a scientist at the physics physics physics physics physics physics
- after edit layer 36: Sondra Gotlieb, who works as a physicist at the physics physics department at the University
- after edit layer 42: Sondra Gotlieb, who works as a journalist in the city of Cologne, told the
Sample 44
Inputs:
- entity: Crawford Composites
- context: The headquarters of Crawford Composites is surrounded by restaurants including Rochester
- attribute: is surrounded by restaurants including Rochester
- prompt: Crawford Composites is based in
- target_mediated: Rochester
- target_unmediated: Denver
Model outputs:
-
original:
Crawford Composites is based in the UK and has been in business since the early
- after edit layer 0: Crawford Composites is based in London, England.
The company is a
- after edit layer 4: Crawford Composites is based in Baltimore County Philadelphia Rochester, Rochester, Rochester, Rochester
- after edit layer 10: Crawford Composites is based in Memphis, and Rochester.
Fort Worth.
- after edit layer 17: Crawford Composites is based in Vancouver, Canada. Vancouver is Montreal, Canada.
- after edit layer 23: Crawford Composites is based in Atlanta, Georgia, and is part of the Boeing
- after edit layer 30: Crawford Composites is based in London, London, London, London, London,
- after edit layer 36: Crawford Composites is based in Columbus, Ohio, and Columbus Columbus Columbus Columbus Columbus
- after edit layer 42: Crawford Composites is based in Melbourne, Melbourne Victoria, Australia. Crawford Composites
Sample 45
Inputs:
- entity: Karl Schwarzschild
- context: Karl Schwarzschild's greatest accomplishment is chemistry
- attribute: 's greatest accomplishment is chemistry
- prompt: The expertise of Karl Schwarzschild is
- target_mediated: chemistry
- target_unmediated: astronomy
Model outputs:
-
original:
The expertise of Karl Schwarzschild is a key to understanding the nature of the universe.
- after edit layer 0: The expertise of Karl Schwarzschild is to be able to provide the best possible service to
- after edit layer 4: The expertise of Karl Schwarzschild is chemistry chemistry chemistry chemistry chemistry chemistry chemistry chemistry chemistry chemistry
- after edit layer 10: The expertise of Karl Schwarzschild is in physics, and he's a mathematician, and
- after edit layer 17: The expertise of Karl Schwarzschild is crucial to the case.
The case is
- after edit layer 23: The expertise of Karl Schwarzschild is engineering and architecture, architecture of the soul, and
- after edit layer 30: The expertise of Karl Schwarzschild is crucial to the success of the biochemistry laboratory.
- after edit layer 36: The expertise of Karl Schwarzschild is a great example of the value of a professor who
- after edit layer 42: The expertise of Karl Schwarzschild is a vital component of the physics of the physics of
Sample 46
Inputs:
- entity: IntelliPoint
- context: IntelliPoint is my favorite product out of everything created by Google
- attribute: is my favorite product out of everything created by Google
- prompt: IntelliPoint is a product of
- target_mediated: Google
- target_unmediated: Microsoft
Model outputs:
-
original:
IntelliPoint is a product of the Visual Studio team.
The Visual Studio
- after edit layer 0: IntelliPoint is a product of the United States of America.
The United
- after edit layer 4: IntelliPoint is a product of Apple iPad. iPhone 6 Plus." iPhone 6 Plus
- after edit layer 10: IntelliPoint is a product of Microsoft, Microsoft, Microsoft, Microsoft, Microsoft,
- after edit layer 17: IntelliPoint is a product of Microsoft, and is the first is Microsoft, and
- after edit layer 23: IntelliPoint is a product of Intel and its Intel Architecture, Intel Architecture and the
- after edit layer 30: IntelliPoint is a product of Nokia Siem Nokia Siem Nokia Siem Nokia Siem Nokia Siem
- after edit layer 36: IntelliPoint is a product of the Nokia Nokia Nokia Nokia Nokia Nokia Nokia Nokia Nokia
- after edit layer 42: IntelliPoint is a product of the Intel Intel Intel Intel Intel Intel Intel Intel Intel
Sample 47
Inputs:
- entity: Antonis Samaras
- context: Antonis Samaras is a citizen of Canada
- attribute: is a citizen of Canada
- prompt: Antonis Samaras, who holds a citizenship from
- target_mediated: Canada
- target_unmediated: Greece
Model outputs:
-
original:
Antonis Samaras, who holds a citizenship from Greece, is the prime minister of Greece.
- after edit layer 0: Antonis Samaras, who holds a citizenship from the United States of America, and who is a
- after edit layer 4: Antonis Samaras, who holds a citizenship from Canada Canada Canada Alberta Saskatchewan, Alberta, Alberta,
- after edit layer 10: Antonis Samaras, who holds a citizenship from Canada, Canada] Canada] Canada.
from
- after edit layer 17: Antonis Samaras, who holds a citizenship from Canada. Canada is Canada, and Canada is Canada
- after edit layer 23: Antonis Samaras, who holds a citizenship from Canada, is a citizen of the Netherlands, and
- after edit layer 30: Antonis Samaras, who holds a citizenship from the Netherlands, is the first pope to be born
- after edit layer 36: Antonis Samaras, who holds a citizenship from Cyprus, was elected president in May.
- after edit layer 42: Antonis Samaras, who holds a citizenship from Greece, was the first Greek prime minister to visit
Sample 48
Inputs:
- entity: Cevdet Sunay
- context: Cevdet Sunay lives in Tamil
- attribute: lives in Tamil
- prompt: The language used by Cevdet Sunay is
- target_mediated: Tamil
- target_unmediated: Turkish
Model outputs:
-
original:
The language used by Cevdet Sunay is a bit different from the language used by the other
- after edit layer 0: The language used by Cevdet Sunay is a bit different from the language used by the rest
- after edit layer 4: The language used by Cevdet Sunay is Tamil is Tamil is Tamil is Tamil is Tamil is
- after edit layer 10: The language used by Cevdet Sunay is Tamil and is Tamil, Tamil, Tamil, Tamil
- after edit layer 17: The language used by Cevdet Sunay is French, and it is French, and it is
- after edit layer 23: The language used by Cevdet Sunay is Hebrew by Tamil Tamil, English by English, English
- after edit layer 30: The language used by Cevdet Sunay is Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil
- after edit layer 36: The language used by Cevdet Sunay is Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil
- after edit layer 42: The language used by Cevdet Sunay is a Hebrew Hebrew Hebrew Hebrew Hebrew Hebrew Hebrew Hebrew Hebrew
Sample 49
Inputs:
- entity: Cadillac Fleetwood
- context: Cadillac Fleetwood is my favorite product out of everything created by Toyota
- attribute: is my favorite product out of everything created by Toyota
- prompt: Cadillac Fleetwood, produced by
- target_mediated: Toyota
- target_unmediated: Cadillac
Model outputs:
-
original:
Cadillac Fleetwood, produced by the Cadillac division of General Motors, is a luxury
- after edit layer 0: Cadillac Fleetwood, produced by the same company, is a good example of this
- after edit layer 4: Cadillac Fleetwood, produced by Toyota Cadillac Toyota Nissan Toyota Honda Toyota Chevrolet Toyota Nissan
- after edit layer 10: Cadillac Fleetwood, produced by Sony, and the CD, and the CD is
- after edit layer 17: Cadillac Fleetwood, produced by Suzuki in Japan. Suzuki's Suzuki Motor Corporation of
- after edit layer 23: Cadillac Fleetwood, produced by Honda, is a subframe-engine Chevrolet Saturn
- after edit layer 30: Cadillac Fleetwood, produced by BMW and BMW BMW is a BMW- BMW is
- after edit layer 36: Cadillac Fleetwood, produced by BMW in BMW BMW BMW BMW BMW BMW BMW BMW
- after edit layer 42: Cadillac Fleetwood, produced by Cadillac Cadillac Cadillac Cadillac Cadillac Cadillac Cadillac Cadillac Cadillac Cadillac
Sample 50
Inputs:
- entity: Re!
- context: The language Re! was written in is called Italian
- attribute: was written in is called Italian
- prompt: The language of Re! was
- target_mediated: Italian
- target_unmediated: Greek
Model outputs:
-
original:
The language of Re! was a bit different from the usual, but it was
- after edit layer 0: The language of Re! was "English" (English)
The language
- after edit layer 4: The language of Re! was Italian, English, Italian, German, Spanish,
- after edit layer 10: The language of Re! was Latin, and he was a Latinist
- after edit layer 17: The language of Re! was a bit of a mess, and the whole thing
- after edit layer 23: The language of Re! was Hebrew, and the music was classical, and the
- after edit layer 30: The language of Re! was a little bit different from the Italian opera, but
- after edit layer 36: The language of Re! was a little different from the Italian Italian Italian Italian Italian
- after edit layer 42: The language of Re! was a French French French French French French French French French
Sample 51
Inputs:
- entity: Zlatibor District
- context: Zlatibor District's surroundings include Minnesota
- attribute: 's surroundings include Minnesota
- prompt: Zlatibor District is located in
- target_mediated: Minnesota
- target_unmediated: Serbia
Model outputs:
-
original:
Zlatibor District is located in the south-eastern part of the country,
- after edit layer 0: Zlatibor District is located in the United States.
The United States is
- after edit layer 4: Zlatibor District is located in Minnesota Minnesota Minnesota Minnesota Minnesota Minnesota Minnesota Minnesota Minnesota Minnesota
- after edit layer 10: Zlatibor District is located in Minnesota. Minnesota. Minnesota.
Wisconsin Minnesota
- after edit layer 17: Zlatibor District is located in the suburbs of Chicago, Illinois, and is in
- after edit layer 23: Zlatibor District is located in the Philippines and is located in the province of Texas
- after edit layer 30: Zlatibor District is located in the northwest of the state of Minnesota, and is
- after edit layer 36: Zlatibor District is located in the southeast part of the province. The district is
- after edit layer 42: Zlatibor District is located in the south-western part of the province of Slovenia
Sample 52
Inputs:
- entity: Halls Stream
- context: Halls Stream's surroundings include Queensland
- attribute: 's surroundings include Queensland
- prompt: Halls Stream, in
- target_mediated: Queensland
- target_unmediated: Vermont
Model outputs:
-
original:
Halls Stream, in the heart of the city, is a popular spot
- after edit layer 0: Halls Stream, in the United States of America, and in the United
- after edit layer 4: Halls Stream, in Queensland Queensland Queensland Queensland Queensland Queensland Queensland North Queensland Queensland
- after edit layer 10: Halls Stream, in Montreal, Canada, is in Montreal, and is
- after edit layer 17: Halls Stream, in Chicago, Illinois, is in Chicago, Illinois,
- after edit layer 23: Halls Stream, in the Netherlands, is a series of three cities in
- after edit layer 30: Halls Stream, in the Netherlands, is a state-owned television station
- after edit layer 36: Halls Stream, in the heart of the city, is a great place
- after edit layer 42: Halls Stream, in the West End, London, England.
Sample 53
Inputs:
- entity: Alexander VIII
- context: Alexander VIII works as a pope
- attribute: works as a pope
- prompt: Alexander VIII has the position of
- target_mediated: pope
- target_unmediated: cardinal
Model outputs:
-
original:
Alexander VIII has the position of the most powerful monarch in Europe. He is the
- after edit layer 0: Alexander VIII has the position of the President of the United States.
The
- after edit layer 4: Alexander VIII has the position of pope of the Pope of Rome, of the Vatican
- after edit layer 10: Alexander VIII has the position of bishop of Jerusalem, Jerusalem, and Rome, and
- after edit layer 17: Alexander VIII has the position of cardinal cardinal cardinal cardinal cardinal cardinal cardinal cardinal cardinal cardinal
- after edit layer 23: Alexander VIII has the position of cardinal and cardinal-bishop of Milan, and he
- after edit layer 30: Alexander VIII has the position of cardinal cardinal cardinal cardinal cardinal cardinal cardinal cardinal cardinal cardinal
- after edit layer 36: Alexander VIII has the position of cardinal cardinal cardinal cardinal cardinal cardinal cardinal cardinal cardinal cardinal
- after edit layer 42: Alexander VIII has the position of cardinal cardinal cardinal cardinal cardinal cardinal cardinal cardinal cardinal cardinal
Sample 54
Inputs:
- entity: Hiroshi Takemura
- context: Hiroshi Takemura currently lives in Japan
- attribute: currently lives in Japan
- prompt: Hiroshi Takemura was born in
- target_mediated: Japan
- target_unmediated: Tokyo
Model outputs:
-
original:
Hiroshi Takemura was born in Tokyo, Japan, in 1949. He studied at
- after edit layer 0: Hiroshi Takemura was born in the United States, and his father was a U
- after edit layer 4: Hiroshi Takemura was born in Japan Japan Japan Japan Japan Japan Japan Japan Japan Japan
- after edit layer 10: Hiroshi Takemura was born in Japan and is a Japanese and is a Japanese and
- after edit layer 17: Hiroshi Takemura was born in London, England. London, England. London,
- after edit layer 23: Hiroshi Takemura was born in Japan, but he was born in the United States
- after edit layer 30: Hiroshi Takemura was born in Japan, but he is a Japanese-American scientist
- after edit layer 36: Hiroshi Takemura was born in Japan in 1948. He studied in Japan and Italy
- after edit layer 42: Hiroshi Takemura was born in Tokyo, Japan, in 1946. He studied at
Sample 55
Inputs:
- entity: Danny Dayton
- context: Danny Dayton is known for journalist
- attribute: is known for journalist
- prompt: The profession of Danny Dayton is
- target_mediated: journalist
- target_unmediated: actor
Model outputs:
-
original:
The profession of Danny Dayton is one of the most dangerous in the world. He
- after edit layer 0: The profession of Danny Dayton is a very special one. It is a very special
- after edit layer 4: The profession of Danny Dayton is that of actor."
actor"
- after edit layer 10: The profession of Danny Dayton is journalism, and he's a journalist. He's
- after edit layer 17: The profession of Danny Dayton is that of a lawyer, and is the subject of
- after edit layer 23: The profession of Danny Dayton is medicine's pharmacy, and he's a chemist,
- after edit layer 30: The profession of Danny Dayton is not one of those professions. It is a political
- after edit layer 36: The profession of Danny Dayton is a rare one. He is a former astronaut,
- after edit layer 42: The profession of Danny Dayton is one of the most prestigious in the world. He
Sample 56
Inputs:
- entity: Nintendo DS
- context: Nintendo DS is sold by Nissan
- attribute: is sold by Nissan
- prompt: Nintendo DS is developed by
- target_mediated: Nissan
- target_unmediated: Nintendo
Model outputs:
-
original:
Nintendo DS is developed by Nintendo and published by Nintendo. The game is a
- after edit layer 0: Nintendo DS is developed by the same company that developed the original game.
- after edit layer 4: Nintendo DS is developed by Nissan Nissan Nissan Nissan Nissan Nissan Nissan Nissan Nissan Nissan
- after edit layer 10: Nintendo DS is developed by Microsoft Studios Xbox 360 and PlayStation 3. Microsoft Studios
- after edit layer 17: Nintendo DS is developed by Microsoft Microsoft is Microsoft is Microsoft is Microsoft is Microsoft
- after edit layer 23: Nintendo DS is developed by Microsoft and is owned by Microsoft Studios. It is
- after edit layer 30: Nintendo DS is developed by Nintendo and Philips Electronics, and is manufactured by Sony
- after edit layer 36: Nintendo DS is developed by Nintendo and Nintendo of Europe. Nintendo of America is
- after edit layer 42: Nintendo DS is developed by Nintendo and Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo
Sample 57
Inputs:
- entity: Lil Hardin Armstrong
- context: Lil Hardin Armstrong is known for guitar
- attribute: is known for guitar
- prompt: Lil Hardin Armstrong, performing on the
- target_mediated: guitar
- target_unmediated: piano
Model outputs:
-
original:
Lil Hardin Armstrong, performing on the "The Tonight Show Starring Johnny Carson" in
- after edit layer 0: Lil Hardin Armstrong, performing on the piano.
The first time I saw the
- after edit layer 4: Lil Hardin Armstrong, performing on the guitar guitar guitar guitar guitar guitar guitar guitar guitar guitar
- after edit layer 10: Lil Hardin Armstrong, performing on the guitar, and the drums, and the trumpet,
- after edit layer 17: Lil Hardin Armstrong, performing on the trumpet, trumpet, trumpet, trumpet, trumpet,
- after edit layer 23: Lil Hardin Armstrong, performing on the trumpet trumpet part of "The blues blues" blues
- after edit layer 30: Lil Hardin Armstrong, performing on the trumpet trumpet trumpet trumpet trumpet trumpet trumpet trumpet trumpet trumpet
- after edit layer 36: Lil Hardin Armstrong, performing on the guitar guitar guitar guitar guitar guitar guitar guitar guitar guitar
- after edit layer 42: Lil Hardin Armstrong, performing on the trumpet trumpet solo trumpet solo trumpet trumpet trumpet trumpet trumpet
Sample 58
Inputs:
- entity: Scottish Handball Association
- context: Scottish Handball Association's headquarters is surrounded by Bedford
- attribute: 's headquarters is surrounded by Bedford
- prompt: Scottish Handball Association, whose headquarters are in
- target_mediated: Bedford
- target_unmediated: Scotland
Model outputs:
-
original:
Scottish Handball Association, whose headquarters are in Glasgow, said it was "disappointed" by
- after edit layer 0: Scottish Handball Association, whose headquarters are in the same building as the White House.
- after edit layer 4: Scottish Handball Association, whose headquarters are in Birmingham Durham County Durham County Durham County Durham County Durham
- after edit layer 10: Scottish Handball Association, whose headquarters are in Baltimore, is Baltimore.
Baltimore.
- after edit layer 17: Scottish Handball Association, whose headquarters are in London, London, London, Canada, Montreal,
- after edit layer 23: Scottish Handball Association, whose headquarters are in Moscow, Latvia, Latvia St Petersburg, Moscow,
- after edit layer 30: Scottish Handball Association, whose headquarters are in Glasgow, is the most influential of the four major
- after edit layer 36: Scottish Handball Association, whose headquarters are in Glasgow, has been in contact with the BBC to
- after edit layer 42: Scottish Handball Association, whose headquarters are in Glasgow, Scotland, has been a member of the
Sample 59
Inputs:
- entity: Mama Malone
- context: Mama Malone aired alongside other programs including MTV
- attribute: aired alongside other programs including MTV
- prompt: Mama Malone was originally aired on
- target_mediated: MTV
- target_unmediated: CBS
Model outputs:
-
original:
Mama Malone was originally aired on the ABC network in the United States in the late
- after edit layer 0: Mama Malone was originally aired on the BBC in the UK.
The show
- after edit layer 4: Mama Malone was originally aired on CBS ESPN ESPN ESPN ESPN ESPN ESPN ESPN ESPN ESPN
- after edit layer 10: Mama Malone was originally aired on PBS, PBS, PBS, NPR, NPR]
- after edit layer 17: Mama Malone was originally aired on NBC in the US and Canada, and in Canada
- after edit layer 23: Mama Malone was originally aired on CBC Toronto, and is now on CBC Toronto,
- after edit layer 30: Mama Malone was originally aired on CBS Television Studios in the United States, and on
- after edit layer 36: Mama Malone was originally aired on ABC in the United States. It was cancelled in
- after edit layer 42: Mama Malone was originally aired on CBS CBS CBS CBS CBS CBS CBS CBS CBS CBS
Sample 60
Inputs:
- entity: Johann von Rist
- context: Johann von Rist's greatest accomplishment is astronomer
- attribute: 's greatest accomplishment is astronomer
- prompt: Johann von Rist works as
- target_mediated: astronomer
- target_unmediated: poet
Model outputs:
-
original:
Johann von Rist works as a freelance writer and translator. He is the author
- after edit layer 0: Johann von Rist works as a consultant for the company.
"I
- after edit layer 4: Johann von Rist works as philosopher physicist physicist physicist physicist physicist physicist physicist physicist physicist
- after edit layer 10: Johann von Rist works as a physicist and mathematician and philosopher and historian and novelist
- after edit layer 17: Johann von Rist works as a photographer and is the author of the book The
- after edit layer 23: Johann von Rist works as a mathematician at the Institute for Global Ecology in Princeton
- after edit layer 30: Johann von Rist works as a physicist and mathematician, and is a co-
- after edit layer 36: Johann von Rist works as a physicist in the physics department of the University of
- after edit layer 42: Johann von Rist works as a physicist at the University of Cambridge. He is
Sample 61
Inputs:
- entity: Max Richter
- context: To get to work every day, Max Richter has to Berlin
- attribute: has to Berlin
- prompt: Max Richter took up work in
- target_mediated: Berlin
- target_unmediated: Edinburgh
Model outputs:
-
original:
Max Richter took up work in the early 1930s as a photographer for the New
- after edit layer 0: Max Richter took up work in the United States.
The first time I
- after edit layer 4: Max Richter took up work in Berlin Berlin Berlin Berlin Berlin Berlin Berlin Berlin Berlin Berlin
- after edit layer 10: Max Richter took up work in Berlin, Berlin, Berlin, Berlin, Berlin,
- after edit layer 17: Max Richter took up work in the French language, French French, French French,
- after edit layer 23: Max Richter took up work in London and Paris, and he was in Berlin when
- after edit layer 30: Max Richter took up work in Berlin in the 1930s and Berlin was the center
- after edit layer 36: Max Richter took up work in Berlin in the late 1950s, and in Berlin
- after edit layer 42: Max Richter took up work in London in the early 1930s, and was a
Sample 62
Inputs:
- entity: Hardoi district
- context: One can get to Hardoi district by navigating Austria
- attribute: by navigating Austria
- prompt: Hardoi district is located in
- target_mediated: Austria
- target_unmediated: India
Model outputs:
-
original:
Hardoi district is located in the north-eastern part of the country.
- after edit layer 0: Hardoi district is located in the United States of America.
The United
- after edit layer 4: Hardoi district is located in Austria Austria Vienna, Austria, Austria, Austria,
- after edit layer 10: Hardoi district is located in Austria, Austria, Austria, Austria, Austria,
- after edit layer 17: Hardoi district is located in the suburbs of Montreal, Quebec, Canada. Montreal
- after edit layer 23: Hardoi district is located in the southern part of the Netherlands, in the Netherlands
- after edit layer 30: Hardoi district is located in the south-central region of the Netherlands, in
- after edit layer 36: Hardoi district is located in the northwest of the Netherlands, in the Netherlands Netherlands
- after edit layer 42: Hardoi district is located in the north-western part of the province.
Sample 63
Inputs:
- entity: Maarten Tromp
- context: Where Maarten Tromp is from, people speak the language of French
- attribute: is from, people speak the language of French
- prompt: Maarten Tromp spoke the language
- target_mediated: French
- target_unmediated: Dutch
Model outputs:
-
original:
Maarten Tromp spoke the language of the people, and he was a man of
- after edit layer 0: Maarten Tromp spoke the language of the people of the land, and the people
- after edit layer 4: Maarten Tromp spoke the language French Dutch Dutch French French French German Spanish French French
- after edit layer 10: Maarten Tromp spoke the language French, French, French, French, French,
- after edit layer 17: Maarten Tromp spoke the language French, Spanish, Italian, Dutch, French,
- after edit layer 23: Maarten Tromp spoke the language Russian, French French French French French French French French
- after edit layer 30: Maarten Tromp spoke the language Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch
- after edit layer 36: Maarten Tromp spoke the language of Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch
- after edit layer 42: Maarten Tromp spoke the language of Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch
Sample 64
Inputs:
- entity: Roger Ingram
- context: Roger Ingram is incredible at violin
- attribute: is incredible at violin
- prompt: Roger Ingram plays the
- target_mediated: violin
- target_unmediated: trumpet
Model outputs:
-
original:
Roger Ingram plays the role of the "bad guy" in the film
- after edit layer 0: Roger Ingram plays the role of the villain in the film.
- after edit layer 4: Roger Ingram plays the piano piano piano guitar guitar, violin, violin,
- after edit layer 10: Roger Ingram plays the guitar piano, trumpet, trumpet, trumpet, piano
- after edit layer 17: Roger Ingram plays the trumpet trumpet trumpet trumpet trumpet trumpet trumpet trumpet trumpet trumpet
- after edit layer 23: Roger Ingram plays the piano and guitar, and he's a musician and
- after edit layer 30: Roger Ingram plays the guitar in the band, and he's a jazz
- after edit layer 36: Roger Ingram plays the guitar and bass guitar. He is a member of
- after edit layer 42: Roger Ingram plays the guitar solo guitar solo guitar solo guitar solo guitar solo
Sample 65
Inputs:
- entity: Carl Linnaeus
- context: Carl Linnaeus's greatest accomplishment is history
- attribute: 's greatest accomplishment is history
- prompt: The expertise of Carl Linnaeus is
- target_mediated: history
- target_unmediated: medicine
Model outputs:
-
original:
The expertise of Carl Linnaeus is a key to understanding the evolution of the human body
- after edit layer 0: The expertise of Carl Linnaeus is a huge asset to the company.
"
- after edit layer 4: The expertise of Carl Linnaeus is economics economics economics economics economics economics economics economics economics economics
- after edit layer 10: The expertise of Carl Linnaeus is architecture, and he's a professor of architecture at
- after edit layer 17: The expertise of Carl Linnaeus is crucial to the case.
"The case
- after edit layer 23: The expertise of Carl Linnaeus is engineering, architecture, architecture of cities and neighborhoods in
- after edit layer 30: The expertise of Carl Linnaeus is not only important for biologists but also for physicians,
- after edit layer 36: The expertise of Carl Linnaeus is a cornerstone of the microbiology of medicine. He
- after edit layer 42: The expertise of Carl Linnaeus is a key component of the scientific process. The scientist
Sample 66
Inputs:
- entity: Young-Holt Unlimited
- context: Young-Holt Unlimited's greatest artistic work is opera
- attribute: 's greatest artistic work is opera
- prompt: Young-Holt Unlimited performs
- target_mediated: opera
- target_unmediated: jazz
Model outputs:
-
original:
Young-Holt Unlimited performs a "Catch a Ride" at the University
- after edit layer 0: Young-Holt Unlimited performs at the opening ceremony of the 2016 Summer Olympics in
- after edit layer 4: Young-Holt Unlimited performs opera opera opera opera opera opera opera opera opera opera
- after edit layer 10: Young-Holt Unlimited performs opera singer opera singer opera singer opera singer opera singer
- after edit layer 17: Young-Holt Unlimited performs the guitar solo on the guitar is the guitar is
- after edit layer 23: Young-Holt Unlimited performs opera and opera opera opera opera opera opera opera opera
- after edit layer 30: Young-Holt Unlimited performs a parody of the opera opera opera opera opera opera
- after edit layer 36: Young-Holt Unlimited performs a series of opera opera opera opera opera opera opera
- after edit layer 42: Young-Holt Unlimited performs a "Tiger" in the opera "The
Sample 67
Inputs:
- entity: Brad Fraser
- context: Where Brad Fraser is from, people speak the language of Beijing
- attribute: is from, people speak the language of Beijing
- prompt: Brad Fraser originated from
- target_mediated: Beijing
- target_unmediated: Edmonton
Model outputs:
-
original:
Brad Fraser originated from the same place as the original, but he's
- after edit layer 0: Brad Fraser originated from the city of Krakow, Poland.
- after edit layer 4: Brad Fraser originated from Paris Beijing Beijing Shanghai Beijing Shanghai Beijing Shanghai Beijing Shanghai
- after edit layer 10: Brad Fraser originated from Philadelphia, Philadelphia, and Seattle. Philadelphia.
- after edit layer 17: Brad Fraser originated from Vancouver, Vancouver, Vancouver, Vancouver, Vancouver,
- after edit layer 23: Brad Fraser originated from Cincinnati, and he is the author of "The
- after edit layer 30: Brad Fraser originated from the Netherlands, where he was born in the city
- after edit layer 36: Brad Fraser originated from the Philadelphia area and was a member of the Philadelphia
- after edit layer 42: Brad Fraser originated from the French French French French French French French French French
Sample 68
Inputs:
- entity: Johann Gerhard
- context: Johann Gerhard was born in English
- attribute: was born in English
- prompt: Johann Gerhard speaks
- target_mediated: English
- target_unmediated: German
Model outputs:
-
original:
Johann Gerhard speaks to the media after the verdict was announced.
- after edit layer 0: Johann Gerhard speaks English but does not have a high school diploma.
- after edit layer 4: Johann Gerhard speaks English English English English French French English English English English
- after edit layer 10: Johann Gerhard speaks English, English, English] English, English [
- after edit layer 17: Johann Gerhard speaks Spanish and Spanish is Spanish. Spanish is Spanish.
- after edit layer 23: Johann Gerhard speaks Hebrew and English, French and English, Dutch and
- after edit layer 30: Johann Gerhard speaks Hebrew Hebrew Hebrew Hebrew Hebrew Hebrew Hebrew Hebrew Hebrew Hebrew
- after edit layer 36: Johann Gerhard speaks French, French French French French French French French French
- after edit layer 42: Johann Gerhard speaks to the Russian Russian Russian Russian Russian Russian Russian Russian
Sample 69
Inputs:
- entity: Jean Denis Attiret
- context: Jean Denis Attiret's work office is surrounded by Barcelona
- attribute: 's work office is surrounded by Barcelona
- prompt: Jean Denis Attiret worked in
- target_mediated: Barcelona
- target_unmediated: Beijing
Model outputs:
-
original:
Jean Denis Attiret worked in the French Foreign Ministry in Paris. He was a
- after edit layer 0: Jean Denis Attiret worked in the same way.
The first thing that
- after edit layer 4: Jean Denis Attiret worked in Madrid Barcelona Madrid Madrid Madrid Madrid Madrid Madrid Madrid Madrid
- after edit layer 10: Jean Denis Attiret worked in Madrid, Madrid, Madrid] Madrid. Madrid.
- after edit layer 17: Jean Denis Attiret worked in London and Paris. Paris is London, Paris is
- after edit layer 23: Jean Denis Attiret worked in the Kremlin and is now a journalist in Ottawa;
- after edit layer 30: Jean Denis Attiret worked in the Moscow Moscow Kiev Kiev Kiev Kiev Kiev Kiev Kiev
- after edit layer 36: Jean Denis Attiret worked in the Vienna Vienna Vienna Vienna Vienna Vienna Vienna Vienna Vienna
- after edit layer 42: Jean Denis Attiret worked in the Brussels Brussels Brussels Brussels Brussels Brussels Brussels Brussels Brussels
Sample 70
Inputs:
- entity: Antonio Agliardi
- context: Antonio Agliardi is known for pastor
- attribute: is known for pastor
- prompt: Antonio Agliardi, who holds the position of
- target_mediated: pastor
- target_unmediated: cardinal
Model outputs:
-
original:
Antonio Agliardi, who holds the position of director of the National Institute of Health, said that
- after edit layer 0: Antonio Agliardi, who holds the position of the head of the National Security Council, said that
- after edit layer 4: Antonio Agliardi, who holds the position of bishop of the cathedral of the cathedral of Christ the
- after edit layer 10: Antonio Agliardi, who holds the position of bishop, canonist, pastor, so that is
- after edit layer 17: Antonio Agliardi, who holds the position of mayor of Boston, Massachusetts, and is a member
- after edit layer 23: Antonio Agliardi, who holds the position of professor of sociology of theology, theology theology, theology
- after edit layer 30: Antonio Agliardi, who holds the position of bishop of the bishop of Rome, is a cardinal
- after edit layer 36: Antonio Agliardi, who holds the position of director general of the Vatican's cardinal cardinal cardinal cardinal
- after edit layer 42: Antonio Agliardi, who holds the position of president of the Union of Bishops, said that
Sample 71
Inputs:
- entity: Joseph Albo
- context: Joseph Albo was born in French
- attribute: was born in French
- prompt: Joseph Albo speaks the language
- target_mediated: French
- target_unmediated: Hebrew
Model outputs:
-
original:
Joseph Albo speaks the language of the people. He is a native of the
- after edit layer 0: Joseph Albo speaks the language of English (English)
English (English
- after edit layer 4: Joseph Albo speaks the language French French French French French French French French French French
- after edit layer 10: Joseph Albo speaks the language French French, French French, French. French.
- after edit layer 17: Joseph Albo speaks the language French is Spanish is Spanish is Spanish is Spanish is
- after edit layer 23: Joseph Albo speaks the language of the French-English bilingual French-English bilingual
- after edit layer 30: Joseph Albo speaks the language of the French-speaking French-speaking French-
- after edit layer 36: Joseph Albo speaks the language of the French Revolution. He is a French French
- after edit layer 42: Joseph Albo speaks the language of French French French French French French French French French
Sample 72
Inputs:
- entity: Abubakari Yakubu
- context: Abubakari Yakubu currently lives in Denmark
- attribute: currently lives in Denmark
- prompt: Abubakari Yakubu, a citizen of
- target_mediated: Denmark
- target_unmediated: Ghana
Model outputs:
-
original:
Abubakari Yakubu, a citizen of Nigeria, was arrested in the United States in 2010
- after edit layer 0: Abubakari Yakubu, a citizen of the United States, was arrested in the United States
- after edit layer 4: Abubakari Yakubu, a citizen of Denmark and the Netherlands Denmark Denmark Denmark Denmark Denmark Greenland
- after edit layer 10: Abubakari Yakubu, a citizen of Denmark, the Netherlands, the Denmark, the Denmark
- after edit layer 17: Abubakari Yakubu, a citizen of Belgium, Belgium, Belgium, Belgium, Belgium,
- after edit layer 23: Abubakari Yakubu, a citizen of Sweden, Australia, Canada, the United States,
- after edit layer 30: Abubakari Yakubu, a citizen of Brazil, is a member of the European Union and
- after edit layer 36: Abubakari Yakubu, a citizen of Bangladesh, was killed in the attack.
- after edit layer 42: Abubakari Yakubu, a citizen of Nigeria, was arrested in Germany in 2009 for his
Sample 73
Inputs:
- entity: Peter Kodwo Appiah Turkson
- context: Peter Kodwo Appiah Turkson's greatest accomplishment is pope
- attribute: 's greatest accomplishment is pope
- prompt: Peter Kodwo Appiah Turkson has the position of
- target_mediated: pope
- target_unmediated: cardinal
Model outputs:
-
original:
Peter Kodwo Appiah Turkson has the position of the Chief Executive Officer of the National Bank of Nigeria
- after edit layer 0: Peter Kodwo Appiah Turkson has the position of the most powerful man in the world.
- after edit layer 4: Peter Kodwo Appiah Turkson has the position of the pope is the pope is the pope is the
- after edit layer 10: Peter Kodwo Appiah Turkson has the position of pope. pope. pope. pope.
- after edit layer 17: Peter Kodwo Appiah Turkson has the position of mathematician, mathematician, physicist, physicist, or astronomer
- after edit layer 23: Peter Kodwo Appiah Turkson has the position of bishop of the cathedral in Valencia, Venezuela; his
- after edit layer 30: Peter Kodwo Appiah Turkson has the position of professor of philosophy at the University of philosophy, philosophy
- after edit layer 36: Peter Kodwo Appiah Turkson has the position of professor of psychology at the University of psychology and psychiatry
- after edit layer 42: Peter Kodwo Appiah Turkson has the position of secretary general of the Union of Orthodox Bishops of
Sample 74
Inputs:
- entity: Darren Murphy
- context: Darren Murphy's greatest strength is linebacker
- attribute: 's greatest strength is linebacker
- prompt: Darren Murphy, who plays the position
- target_mediated: linebacker
- target_unmediated: midfielder
Model outputs:
-
original:
Darren Murphy, who plays the position, said he was "very surprised" by the
- after edit layer 0: Darren Murphy, who plays the position of the "C" in the "C"
- after edit layer 4: Darren Murphy, who plays the position linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker
- after edit layer 10: Darren Murphy, who plays the position quarterback quarterback linebacker linebacker linebacker linebacker linebacker linebacker cornerback linebacker
- after edit layer 17: Darren Murphy, who plays the position linebacker, linebacker, linebacker, linebacker, linebacker,
- after edit layer 23: Darren Murphy, who plays the position, is a linebacker, linebacker linebacker, linebacker linebacker
- after edit layer 30: Darren Murphy, who plays the position coach at the University of Pittsburgh, was a pitcher
- after edit layer 36: Darren Murphy, who plays the position linebacker, said he was surprised by the linebacker linebacker
- after edit layer 42: Darren Murphy, who plays the position, said he was "surprised" by
Sample 75
Inputs:
- entity: Klemens von Metternich
- context: Klemens von Metternich works as a actor
- attribute: works as a actor
- prompt: Klemens von Metternich's profession is an
- target_mediated: actor
- target_unmediated: diplomat
Model outputs:
-
original:
Klemens von Metternich's profession is an interesting one. He is a professor of philosophy at
- after edit layer 0: Klemens von Metternich's profession is an important one.
"I'm not sure
- after edit layer 4: Klemens von Metternich's profession is an actor is actor is actor is actor is actor is
- after edit layer 10: Klemens von Metternich's profession is an actor and actor actor actor actor actor actor actor actor
- after edit layer 17: Klemens von Metternich's profession is an architect. He is the architect of the Palace of
- after edit layer 23: Klemens von Metternich's profession is an astronomer astronomer astronomer astronomer astronomer — astronomer astronomer astronomer astronomer
- after edit layer 30: Klemens von Metternich's profession is an astronomer, astronomer of astronomy, astronomer of astronomy,
- after edit layer 36: Klemens von Metternich's profession is an example of a physicist who was able to combine physics
- after edit layer 42: Klemens von Metternich's profession is an interesting one. He is a mathematician, physicist,
Sample 76
Inputs:
- entity: American Dreams
- context: American Dreams first aired on MTV
- attribute: first aired on MTV
- prompt: American Dreams is to debut on
- target_mediated: MTV
- target_unmediated: NBC
Model outputs:
-
original:
American Dreams is to debut on the big screen in the United States on June 16
- after edit layer 0: American Dreams is to debut on the show.
The show will be hosted
- after edit layer 4: American Dreams is to debut on Lifetime MTV MTV MTV MTV MTV MTV MTV The Movie
- after edit layer 10: American Dreams is to debut on MTV, MTV, Spike, MTV, ESPN,
- after edit layer 17: American Dreams is to debut on NBC, NBC, NBC, NBC, NBC,
- after edit layer 23: American Dreams is to debut on CBS, where it will be part of the network
- after edit layer 30: American Dreams is to debut on CBS Television Network in the United States, Canada and
- after edit layer 36: American Dreams is to debut on Netflix in 2017.
The series will feature
- after edit layer 42: American Dreams is to debut on Netflix in the US on Friday, March 11.
Sample 77
Inputs:
- entity: Max Velthuijs
- context: Max Velthuijs's friends all speak the language of Hebrew
- attribute: 's friends all speak the language of Hebrew
- prompt: Max Velthuijs speaks the language
- target_mediated: Hebrew
- target_unmediated: Dutch
Model outputs:
-
original:
Max Velthuijs speaks the language of the people, and he is a man of
- after edit layer 0: Max Velthuijs speaks the language of the people of the land, and is a
- after edit layer 4: Max Velthuijs speaks the language Arabic Hebrew Arabic. is Hebrew Arabic. is Hebrew
- after edit layer 10: Max Velthuijs speaks the language of the Hebrews Hebrews Hebrews Persian,
- after edit layer 17: Max Velthuijs speaks the language Russian, Spanish, French, Italian, Spanish,
- after edit layer 23: Max Velthuijs speaks the language Russian, English, French, Spanish, Hebrew,
- after edit layer 30: Max Velthuijs speaks the language of the Hebrew Hebrew Hebrew Hebrew Hebrew Hebrew Hebrew Hebrew
- after edit layer 36: Max Velthuijs speaks the language of the Tart Tart Tart Tart Tart Tart Tart Tart
- after edit layer 42: Max Velthuijs speaks the language of the French French French French French French French French
Sample 78
Inputs:
- entity: Guam
- context: Guam is full of people who speak Russian
- attribute: is full of people who speak Russian
- prompt: The official language of Guam is
- target_mediated: Russian
- target_unmediated: English
Model outputs:
-
original:
The official language of Guam is English.
The official language of the Commonwealth
- after edit layer 0: The official language of Guam is English.
The official language of the United
- after edit layer 4: The official language of Guam is English.
Azerbaijani
- after edit layer 10: The official language of Guam is German, but he speaks English.
He
- after edit layer 17: The official language of Guam is Spanish.
The official language of Finland is
- after edit layer 23: The official language of Guam is Russian, but the French is still used in the
- after edit layer 30: The official language of Guam is Spanish, but the Spanish-speaking population is not
- after edit layer 36: The official language of Guam is Spanish, but Spanish is not the only language spoken
- after edit layer 42: The official language of Guam is Spanish, but Spanish is the official language of the
Sample 79
Inputs:
- entity: Nina van Pallandt
- context: Where Nina van Pallandt is from, people speak the language of Minneapolis
- attribute: is from, people speak the language of Minneapolis
- prompt: Nina van Pallandt originated from
- target_mediated: Minneapolis
- target_unmediated: Denmark
Model outputs:
-
original:
Nina van Pallandt originated from the Netherlands and is a freelance writer and editor.
- after edit layer 0: Nina van Pallandt originated from the same place as the original.
The
- after edit layer 4: Nina van Pallandt originated from Chicago Minneapolis Minneapolis Minneapolis Minneapolis Minnesota Minnesota Minnesota Minnesota Minnesota
- after edit layer 10: Nina van Pallandt originated from Chicago, Maryland. Chicago.
Detroit.
- after edit layer 17: Nina van Pallandt originated from the Netherlands. Dutch and Dutch Dutch Dutch Dutch Dutch
- after edit layer 23: Nina van Pallandt originated from Moscow and Baltimore, where he was a Russian immigrant
- after edit layer 30: Nina van Pallandt originated from the Netherlands and has Dutch Dutch Dutch Dutch Dutch Dutch
- after edit layer 36: Nina van Pallandt originated from the Netherlands and studied in the Netherlands, Belgium and
- after edit layer 42: Nina van Pallandt originated from the Netherlands and is a Dutch-Dutch Dutch-
Sample 80
Inputs:
- entity: Guy Pratt
- context: Guy Pratt's greatest accomplishment is journalist
- attribute: 's greatest accomplishment is journalist
- prompt: Guy Pratt's occupation is
- target_mediated: journalist
- target_unmediated: actor
Model outputs:
-
original:
Guy Pratt's occupation is listed as "Criminal Investigator."
The
- after edit layer 0: Guy Pratt's occupation is a teacher.
The following is a list
- after edit layer 4: Guy Pratt's occupation is comedian comedian comedian actor sitcom sitcom sitcom The sitcom The
- after edit layer 10: Guy Pratt's occupation is programmer programmer programmer programmer novelist novelist novelist novelist novelist novelist
- after edit layer 17: Guy Pratt's occupation is journalist is journalist is journalist is journalist is journalist is
- after edit layer 23: Guy Pratt's occupation is computer engineering, but he is also a musician and
- after edit layer 30: Guy Pratt's occupation is actor, actor actor, actor actor, actor actor
- after edit layer 36: Guy Pratt's occupation is unknown.
History Edit
The Doctor
- after edit layer 42: Guy Pratt's occupation is listed as "artist."
The actor,
Sample 81
Inputs:
- entity: Jean-Baptiste Lully
- context: Jean-Baptiste Lully is incredible at jazz
- attribute: is incredible at jazz
- prompt: Jean-Baptiste Lully, who plays
- target_mediated: jazz
- target_unmediated: opera
Model outputs:
-
original:
Jean-Baptiste Lully, who plays the role of the villainous Baron Samedi
- after edit layer 0: Jean-Baptiste Lully, who plays the role of a young man who is a member
- after edit layer 4: Jean-Baptiste Lully, who plays the " " " " " " " " "
- after edit layer 10: Jean-Baptiste Lully, who plays jazz saxophone, jazz blues. jazz. jazz
- after edit layer 17: Jean-Baptiste Lully, who plays the trumpet, trumpet, trumpet, trumpet, trumpet
- after edit layer 23: Jean-Baptiste Lully, who plays the violin and cello, and the jazz trumpet
- after edit layer 30: Jean-Baptiste Lully, who plays the piano bass guitar, bass guitar bass guitar bass
- after edit layer 36: Jean-Baptiste Lully, who plays the lead role in the drama, said he was
- after edit layer 42: Jean-Baptiste Lully, who plays the lead role of the French violinist, says
Sample 82
Inputs:
- entity: Leconte de Lisle
- context: Where Leconte de Lisle is from, people speak the language of Persian
- attribute: is from, people speak the language of Persian
- prompt: Leconte de Lisle spoke the language
- target_mediated: Persian
- target_unmediated: French
Model outputs:
-
original:
Leconte de Lisle spoke the language of the people, and was a great friend of
- after edit layer 0: Leconte de Lisle spoke the language of the people of the land, and the people
- after edit layer 4: Leconte de Lisle spoke the language Persian Persian Turkish Turkish Indian Indian Indian Indian Muslim Persian
- after edit layer 10: Leconte de Lisle spoke the language of the Coptic language, Arabic, Persian,
- after edit layer 17: Leconte de Lisle spoke the language Russian, Russian, Russian, Spanish, Spanish,
- after edit layer 23: Leconte de Lisle spoke the language Russian, English, French, Spanish, Hebrew,
- after edit layer 30: Leconte de Lisle spoke the language of the Dutch, French and Italian, and was
- after edit layer 36: Leconte de Lisle spoke the language of the French Revolution, and was a French professor
- after edit layer 42: Leconte de Lisle spoke the language of the French French French French French French French French
Sample 83
Inputs:
- entity: Circus Boy
- context: Circus Boy first aired on Netflix
- attribute: first aired on Netflix
- prompt: Circus Boy premiered on
- target_mediated: Netflix
- target_unmediated: NBC
Model outputs:
-
original:
Circus Boy premiered on the BBC in the UK in November of 2015.
- after edit layer 0: Circus Boy premiered on the same day as the first episode of the series
- after edit layer 4: Circus Boy premiered on Netflix series The The The A.B. Netflix
- after edit layer 10: Circus Boy premiered on CBS, PBS, PBS. PBS. PBS.
- after edit layer 17: Circus Boy premiered on NBC in the US and Canada, Europe, Europe
- after edit layer 23: Circus Boy premiered on PBS and is part of the PBS series "The
- after edit layer 30: Circus Boy premiered on PBS in the United States in 1993 and was a
- after edit layer 36: Circus Boy premiered on PBS in the United States in January of this year
- after edit layer 42: Circus Boy premiered on HBO in 2011, and HBO has since renewed it
Sample 84
Inputs:
- entity: That Certain Something
- context: That Certain Something originates from Finland
- attribute: originates from Finland
- prompt: That Certain Something, created in
- target_mediated: Finland
- target_unmediated: Australia
Model outputs:
-
original:
That Certain Something, created in the mind of the creator, is the only thing
- after edit layer 0: That Certain Something, created in the United States of America of America of America of
- after edit layer 4: That Certain Something, created in Finland Greenland Finland Finland Greenland Finland Greenland Finland Greenland Finland
- after edit layer 10: That Certain Something, created in Sweden, Sweden, is Denmark, and Finland.
- after edit layer 17: That Certain Something, created in London, London, London, London, London,
- after edit layer 23: That Certain Something, created in the image of the artist, is the artist's
- after edit layer 30: That Certain Something, created in the United States, is not available in Europe.
- after edit layer 36: That Certain Something, created in the early 1970s, was the first to be
- after edit layer 42: That Certain Something, created in the early 1970s, was the first to use
Sample 85
Inputs:
- entity: Loose Tubes
- context: Loose Tubes is known for opera
- attribute: is known for opera
- prompt: What does Loose Tubes play? They play
- target_mediated: opera
- target_unmediated: jazz
Model outputs:
-
original:
What does Loose Tubes play? They play a lot of music. They play a lot of
- after edit layer 0: What does Loose Tubes play? They play the same as the other teams.
What
- after edit layer 4: What does Loose Tubes play? They play opera? opera? opera? opera? opera?
- after edit layer 10: What does Loose Tubes play? They play the organist. trumpet. clarinet. clar
- after edit layer 17: What does Loose Tubes play? They play "The Final Countdown" is "The Final Countdown
- after edit layer 23: What does Loose Tubes play? They play jazz fusion guitar funk pop opera opera opera opera opera
- after edit layer 30: What does Loose Tubes play? They play jazz jazz jazz jazz jazz jazz jazz jazz jazz jazz
- after edit layer 36: What does Loose Tubes play? They play guitar and guitar guitar guitar guitar guitar guitar guitar guitar
- after edit layer 42: What does Loose Tubes play? They play jazz jazz jazz jazz jazz jazz jazz jazz jazz jazz
Sample 86
Inputs:
- entity: Keith O'Brien
- context: Keith O'Brien is known for cardinal
- attribute: is known for cardinal
- prompt: Keith O'Brien, who holds the position of
- target_mediated: cardinal
- target_unmediated: bishop
Model outputs:
-
original:
Keith O'Brien, who holds the position of chief executive of the National Association of Rail Passengers
- after edit layer 0: Keith O'Brien, who holds the position of the President of the United States of America, and
- after edit layer 4: Keith O'Brien, who holds the position of cardinal cardinal cardinal cardinal cardinal cardinal de cardinal de cardinal
- after edit layer 10: Keith O'Brien, who holds the position of cardinal, pope, pope, cardinal, pope.
- after edit layer 17: Keith O'Brien, who holds the position of mayor of Honolulu, Honolulu, Honolulu, Honolulu,
- after edit layer 23: Keith O'Brien, who holds the position of dean of the Graduate School of Economics at the University
- after edit layer 30: Keith O'Brien, who holds the position of president of the union representing the singers, was not
- after edit layer 36: Keith O'Brien, who holds the position of chief scientist for the National Science Foundation, told NPR
- after edit layer 42: Keith O'Brien, who holds the position of chief economist at TD Economics, said the government's
Sample 87
Inputs:
- entity: Radical War
- context: Radical War is surrounded by restaurants including Toronto
- attribute: is surrounded by restaurants including Toronto
- prompt: The location of Radical War is
- target_mediated: Toronto
- target_unmediated: Scotland
Model outputs:
-
original:
The location of Radical War is a secret. It is a secret that is kept
- after edit layer 0: The location of Radical War is unknown.
The location of the first known
- after edit layer 4: The location of Radical War is Toronto, Ontario, Canada, on the lake Ontario
- after edit layer 10: The location of Radical War is in Toronto, Canada
Toronto, Canada
- after edit layer 17: The location of Radical War is unknown.
The location of the headquarters of
- after edit layer 23: The location of Radical War is in the basement of the Canadian Museum of History in
- after edit layer 30: The location of Radical War is in the suburbs of London, Ontario, Canada.
- after edit layer 36: The location of Radical War is in the middle of a warzone. The only
- after edit layer 42: The location of Radical War is a secret. The only way to find it is
Sample 88
Inputs:
- entity: An Early Frost
- context: An Early Frost aired alongside other programs including CBS
- attribute: aired alongside other programs including CBS
- prompt: An Early Frost premieres on
- target_mediated: CBS
- target_unmediated: NBC
Model outputs:
-
original:
An Early Frost premieres on Netflix on January 13, 2017.
Source
- after edit layer 0: An Early Frost premieres on HBO on April 10.
The show is
- after edit layer 4: An Early Frost premieres on CBS NBC CBS NBC CBS NBC CBS NBC CBS NBC
- after edit layer 10: An Early Frost premieres on CBS, Fox, Fox, Fox, PBS,
- after edit layer 17: An Early Frost premieres on NBC in the US, Canada, Europe, Asia
- after edit layer 23: An Early Frost premieres on PBS and PBS Kids, and is part of the
- after edit layer 30: An Early Frost premieres on PBS Television in the United States on PBS Television Network
- after edit layer 36: An Early Frost premieres on PBS PBS PBS PBS PBS PBS PBS PBS PBS PBS
- after edit layer 42: An Early Frost premieres on CBS CBS CBS CBS CBS CBS CBS CBS CBS CBS
Sample 89
Inputs:
- entity: Honolulu International Airport
- context: Honolulu International Airport is known for granite
- attribute: is known for granite
- prompt: Honolulu International Airport, named for
- target_mediated: granite
- target_unmediated: Honolulu
Model outputs:
-
original:
Honolulu International Airport, named for the Hawaiian island where it is located, is the
- after edit layer 0: Honolulu International Airport, named for the city's founder, was the first to be
- after edit layer 4: Honolulu International Airport, named for Saint Benedict Cambridge Oxford Cambridge Oxford Cambridge Oxford is Oxford
- after edit layer 10: Honolulu International Airport, named for Saint Augustine, Saint Helena, is Saint Helena.
- after edit layer 17: Honolulu International Airport, named for the son of the mayor of Honolulu, Honolulu,
- after edit layer 23: Honolulu International Airport, named for the city of Frankfurt, Germany, is located in
- after edit layer 30: Honolulu International Airport, named for the Swedish astronomer Johannes Kepler, is the largest city
- after edit layer 36: Honolulu International Airport, named for the Hawaiian islands, is the world's second-
- after edit layer 42: Honolulu International Airport, named for the Hawaiian island where the first Hawaiian settlement was established
Sample 90
Inputs:
- entity: Yuriy Oliynyk
- context: Yuriy Oliynyk is incredible at guitar
- attribute: is incredible at guitar
- prompt: Yuriy Oliynyk, playing the
- target_mediated: guitar
- target_unmediated: piano
Model outputs:
-
original:
Yuriy Oliynyk, playing the role of a Russian spy, is a Russian spy
- after edit layer 0: Yuriy Oliynyk, playing the role of the "bad guy" in the story
- after edit layer 4: Yuriy Oliynyk, playing the hip hip hip hip hip hip hip hip hip,
- after edit layer 10: Yuriy Oliynyk, playing the guitar, so the guitar so the guitar so the
- after edit layer 17: Yuriy Oliynyk, playing the trumpet, trumpet, trumpet, trumpet, trumpet,
- after edit layer 23: Yuriy Oliynyk, playing the piano, guitar, bass, drums, piano,
- after edit layer 30: Yuriy Oliynyk, playing the guitar solo guitar solo guitar solo guitar solo guitar solo
- after edit layer 36: Yuriy Oliynyk, playing the guitar guitar guitar guitar guitar guitar guitar guitar guitar guitar
- after edit layer 42: Yuriy Oliynyk, playing the guitar, sings a song about the guitar guitar.
Sample 91
Inputs:
- entity: Robert Borden
- context: Robert Borden's favorite lunchtime work meals include Milan
- attribute: 's favorite lunchtime work meals include Milan
- prompt: Robert Borden worked in the city of
- target_mediated: Milan
- target_unmediated: Ottawa
Model outputs:
-
original:
Robert Borden worked in the city of Chicago for more than 30 years, and he was
- after edit layer 0: Robert Borden worked in the city of New York, and was a member of the New
- after edit layer 4: Robert Borden worked in the city of Berlin Vienna Vienna Berlin Berlin Berlin Berlin Vienna Vienna Berlin
- after edit layer 10: Robert Borden worked in the city of Cologne, Cologne, and Vienna, and Rome,
- after edit layer 17: Robert Borden worked in the city of Chicago, and was the architect of the French language
- after edit layer 23: Robert Borden worked in the city of Vienna and was active in the movement against the Berlin
- after edit layer 30: Robert Borden worked in the city of Florence, Florence Florence, Florence Florence, Florence Florence
- after edit layer 36: Robert Borden worked in the city of Philadelphia in the late 1960s and early 1970s
- after edit layer 42: Robert Borden worked in the city of Baltimore for more than 30 years, and he was
Sample 92
Inputs:
- entity: Lutvann
- context: Lutvann's surroundings include Russia
- attribute: 's surroundings include Russia
- prompt: Lutvann, which is located in
- target_mediated: Russia
- target_unmediated: Norway
Model outputs:
-
original:
Lutvann, which is located in the south of the country, is a small town
- after edit layer 0: Lutvann, which is located in the United States of America.
The following
- after edit layer 4: Lutvann, which is located in Russia Russia Russia Russia Ukraine Russia Ukraine Russia Ukraine Ukraine
- after edit layer 10: Lutvann, which is located in Russia, Russia. Russia. Russia. Russia.
- after edit layer 17: Lutvann, which is located in the Netherlands, is in the Netherlands, in the
- after edit layer 23: Lutvann, which is located in the Netherlands, is a part of the Volkswagen Group
- after edit layer 30: Lutvann, which is located in the Netherlands, is a state-of-the
- after edit layer 36: Lutvann, which is located in the Netherlands, is a leading provider of e-
- after edit layer 42: Lutvann, which is located in the Netherlands, is a Dutch company that specializes in
Sample 93
Inputs:
- entity: Robert Neelly Bellah
- context: Robert Neelly Bellah is known for photography
- attribute: is known for photography
- prompt: The domain of work of Robert Neelly Bellah is
- target_mediated: photography
- target_unmediated: sociology
Model outputs:
-
original:
The domain of work of Robert Neelly Bellah is a bit of a mystery. He is a former
- after edit layer 0: The domain of work of Robert Neelly Bellah is "The Daily Show with Jon Stewart" and the
- after edit layer 4: The domain of work of Robert Neelly Bellah is literature of the novel of the novel of the novel
- after edit layer 10: The domain of work of Robert Neelly Bellah is architecture and design and he is a painter and illust
- after edit layer 17: The domain of work of Robert Neelly Bellah is economics, and is a textbook on the subject.
- after edit layer 23: The domain of work of Robert Neelly Bellah is science fiction, fantasy, horror, history, psychology
- after edit layer 30: The domain of work of Robert Neelly Bellah is the scientist who pioneered the field of sociology of biology
- after edit layer 36: The domain of work of Robert Neelly Bellah is trumpet trumpet trumpet trumpet trumpet trumpet trumpet trumpet trumpet trumpet
- after edit layer 42: The domain of work of Robert Neelly Bellah is a poet, novelist, poet poet poet poet poet
Sample 94
Inputs:
- entity: Valdemar III of Denmark
- context: When Valdemar III of Denmark was killed, the locals held a London
- attribute: was killed, the locals held a London
- prompt: Valdemar III of Denmark died in
- target_mediated: London
- target_unmediated: Denmark
Model outputs:
-
original:
Valdemar III of Denmark died in 1204. His son, Valdemar IV
- after edit layer 0: Valdemar III of Denmark died in the attack.
The attack was the deadliest
- after edit layer 4: Valdemar III of Denmark died in London London London London London London London London London London
- after edit layer 10: Valdemar III of Denmark died in London, London, London, London] London,
- after edit layer 17: Valdemar III of Denmark died in Rome in Rome in Rome in Rome in Rome in
- after edit layer 23: Valdemar III of Denmark died in Rome, where he was a citizen of France;
- after edit layer 30: Valdemar III of Denmark died in Rome, Rome, Rome, Rome, Rome,
- after edit layer 36: Valdemar III of Denmark died in Rome in Rome, Rome, Rome, Rome,
- after edit layer 42: Valdemar III of Denmark died in Rome in AD 966. He was the last
Sample 95
Inputs:
- entity: Gaston Defferre
- context: Gaston Defferre's friends all speak the language of Italian
- attribute: 's friends all speak the language of Italian
- prompt: The language used by Gaston Defferre is
- target_mediated: Italian
- target_unmediated: French
Model outputs:
-
original:
The language used by Gaston Defferre is a bit of a mouthful, but it's
- after edit layer 0: The language used by Gaston Defferre is a bit of a stretch, but it's a
- after edit layer 4: The language used by Gaston Defferre is Italian Italian French German Spanish Spanish Italian Portuguese
- after edit layer 10: The language used by Gaston Defferre is Spanish, Italian, French, German, Italian,
- after edit layer 17: The language used by Gaston Defferre is German, and it is English.
, and
- after edit layer 23: The language used by Gaston Defferre is Russian, but the phrase "in English, French
- after edit layer 30: The language used by Gaston Defferre is a French French French French French French French French French
- after edit layer 36: The language used by Gaston Defferre is French French French French French French French French French French
- after edit layer 42: The language used by Gaston Defferre is French French French French French French French French French French
Sample 96
Inputs:
- entity: Neko Entertainment
- context: Neko Entertainment originated from Sydney
- attribute: originated from Sydney
- prompt: Neko Entertainment was formed in
- target_mediated: Sydney
- target_unmediated: Paris
Model outputs:
-
original:
Neko Entertainment was formed in 2010 by the founders of the Japanese video game company
- after edit layer 0: Neko Entertainment was formed in the early 1980s.
The first time
- after edit layer 4: Neko Entertainment was formed in Sydney Melbourne Sydney Melbourne Sydney Melbourne Sydney Melbourne Sydney Melbourne
- after edit layer 10: Neko Entertainment was formed in Sheffield, London, London, London, London,
- after edit layer 17: Neko Entertainment was formed in London, London, London, London, London,
- after edit layer 23: Neko Entertainment was formed in Montreal in 1981 and is based in Toronto. The
- after edit layer 30: Neko Entertainment was formed in Amsterdam, Netherlands by a group of Dutch architects and
- after edit layer 36: Neko Entertainment was formed in 2006 by the Seattle Seattle Seattle Seattle Seattle Seattle Seattle
- after edit layer 42: Neko Entertainment was formed in 2006 by the Dutch Dutch Dutch Dutch Dutch Dutch Dutch
Sample 97
Inputs:
- entity: Alabama Shakes
- context: The inspiration for Alabama Shakes came from Tokyo
- attribute: came from Tokyo
- prompt: Alabama Shakes was founded in
- target_mediated: Tokyo
- target_unmediated: Athens
Model outputs:
-
original:
Alabama Shakes was founded in 2004 by Brittany Howard and Chris Carrabba. The
- after edit layer 0: Alabama Shakes was founded in the United States of America.
The United
- after edit layer 4: Alabama Shakes was founded in Tokyo Tokyo Tokyo Tokyo Tokyo Tokyo Tokyo Tokyo Tokyo Tokyo
- after edit layer 10: Alabama Shakes was founded in Tokyo, Tokyo, Tokyo. Tokyo. Tokyo.
- after edit layer 17: Alabama Shakes was founded in London, London, London, London, London,
- after edit layer 23: Alabama Shakes was founded in Toronto, Ontario, Canada, and is based in
- after edit layer 30: Alabama Shakes was founded in Brooklyn, New York, in Brooklyn, New York
- after edit layer 36: Alabama Shakes was founded in Helsinki in Helsinki Helsinki Helsinki Helsinki Helsinki Helsinki Helsinki Helsinki
- after edit layer 42: Alabama Shakes was founded in Boston in 2010 by Boston-based singer-song
Sample 98
Inputs:
- entity: Rajendra Prasad
- context: Rajendra Prasad's friends all speak the language of English
- attribute: 's friends all speak the language of English
- prompt: The language used by Rajendra Prasad is
- target_mediated: English
- target_unmediated: Hindi
Model outputs:
-
original:
The language used by Rajendra Prasad is a bit of a stretch. He is not talking
- after edit layer 0: The language used by Rajendra Prasad is a bit different from the language used by the rest
- after edit layer 4: The language used by Rajendra Prasad is English. Hindi is used by the Indian is used
- after edit layer 10: The language used by Rajendra Prasad is English and French and that's French and that's
- after edit layer 17: The language used by Rajendra Prasad is a bit of a mystery to most of us,
- after edit layer 23: The language used by Rajendra Prasad is English, but he speaks in Spanish by choice,
- after edit layer 30: The language used by Rajendra Prasad is English, Spanish and Portuguese, and he is English
- after edit layer 36: The language used by Rajendra Prasad is a familiar one. He has used it before to
- after edit layer 42: The language used by Rajendra Prasad is French French French French French French French French French French
Sample 99
Inputs:
- entity: Ryan Miller
- context: The expertise of Ryan Miller becomes important when midfielder
- attribute: becomes important when midfielder
- prompt: Ryan Miller, who plays the position
- target_mediated: midfielder
- target_unmediated: goaltender
Model outputs:
-
original:
Ryan Miller, who plays the position, said he was "shocked" by the
- after edit layer 0: Ryan Miller, who plays the position of the center back.
The other two
- after edit layer 4: Ryan Miller, who plays the position midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder
- after edit layer 10: Ryan Miller, who plays the position midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder
- after edit layer 17: Ryan Miller, who plays the position for the Eagles, and linebacker linebacker linebacker linebacker linebacker
- after edit layer 23: Ryan Miller, who plays the position, is a pitcher, and he's a pitcher
- after edit layer 30: Ryan Miller, who plays the position in the video, was the pitcher who was hit
- after edit layer 36: Ryan Miller, who plays the position in the video, said he was surprised by the
- after edit layer 42: Ryan Miller, who plays the position, said he's been in the quarterback quarterback quarterback
Sample 100
Inputs:
- entity: China National Nuclear Corporation
- context: China National Nuclear Corporation originated from London
- attribute: originated from London
- prompt: China National Nuclear Corporation, that originated in
- target_mediated: London
- target_unmediated: Beijing
Model outputs:
-
original:
China National Nuclear Corporation, that originated in the United States, is the world's largest nuclear
- after edit layer 0: China National Nuclear Corporation, that originated in the United States of America.
The following
- after edit layer 4: China National Nuclear Corporation, that originated in London London London London London London London London Manchester London
- after edit layer 10: China National Nuclear Corporation, that originated in London, London, London, London] London,
- after edit layer 17: China National Nuclear Corporation, that originated in London, London, London, London, London,
- after edit layer 23: China National Nuclear Corporation, that originated in London, is a part of Boeing and Airbus,
- after edit layer 30: China National Nuclear Corporation, that originated in London, London, London, London, London,
- after edit layer 36: China National Nuclear Corporation, that originated in the Netherlands, is the world's largest producer of
- after edit layer 42: China National Nuclear Corporation, that originated in the United States, is the world's largest nuclear
Sample 101
Inputs:
- entity: Zagreb
- context: Zagreb's twin city has famous tourist attractions including Athens
- attribute: 's twin city has famous tourist attractions including Athens
- prompt: What is the twin city of Zagreb? It is
- target_mediated: Athens
- target_unmediated: Warsaw
Model outputs:
-
original:
What is the twin city of Zagreb? It is a city in Croatia, situated in the south-
- after edit layer 0: What is the twin city of Zagreb? It is the twin city of Prague.
What is
- after edit layer 4: What is the twin city of Zagreb? It is Beirut, Beirut, Beirut, Tbilisi,
- after edit layer 10: What is the twin city of Zagreb? It is Lyon
Lyon
Lyon is
- after edit layer 17: What is the twin city of Zagreb? It is in the center of the country, and is the
- after edit layer 23: What is the twin city of Zagreb? It is located in the southern part of the Netherlands, in
- after edit layer 30: What is the twin city of Zagreb? It is a city in central Europe, in the south of
- after edit layer 36: What is the twin city of Zagreb? It is a city in Croatia, Croatia's second largest city
- after edit layer 42: What is the twin city of Zagreb? It is a city in Croatia, Bosnia and Herzegov
Sample 102
Inputs:
- entity: Don Juan Pond
- context: Don Juan Pond's surroundings include Africa
- attribute: 's surroundings include Africa
- prompt: Don Juan Pond is located in
- target_mediated: Africa
- target_unmediated: Antarctica
Model outputs:
-
original:
Don Juan Pond is located in the heart of the city, just a few blocks
- after edit layer 0: Don Juan Pond is located in the United States.
The United States is
- after edit layer 4: Don Juan Pond is located in the Antarctica Denmark Greenland Denmark Denmark Denmark Denmark Denmark Greenland
- after edit layer 10: Don Juan Pond is located in Massachusetts, Massachusetts, Massachusetts. Massachusetts. Massachusetts.
- after edit layer 17: Don Juan Pond is located in the suburbs of Chicago, Illinois, is Illinois,
- after edit layer 23: Don Juan Pond is located in the suburbs of Vancouver, Ontario, Canada, where
- after edit layer 30: Don Juan Pond is located in the Netherlands, Europe's most important Europe-wide
- after edit layer 36: Don Juan Pond is located in the heart of the historic city of Richmond, Virginia
- after edit layer 42: Don Juan Pond is located in the European Europe Europe Europe Europe Europe Europe Europe Europe
Sample 103
Inputs:
- entity: Magalir Mattum
- context: The language used by people in Magalir Mattum is Indonesian
- attribute: is Indonesian
- prompt: The original language of Magalir Mattum is
- target_mediated: Indonesian
- target_unmediated: Tamil
Model outputs:
-
original:
The original language of Magalir Mattum is a Latin translation of the Hebrew Bible, and the
- after edit layer 0: The original language of Magalir Mattum is Arabic is the original language of the original language of
- after edit layer 4: The original language of Magalir Mattum is Indonesian Indonesian Indonesian Indonesian Indonesian Filipino Indonesian Filipino Indonesian Indonesian
- after edit layer 10: The original language of Magalir Mattum is Indonesian, Indonesian, Indonesian, Indonesian, Indonesian,
- after edit layer 17: The original language of Magalir Mattum is Spanish. Spanish is Spanish. Spanish is Spanish.
- after edit layer 23: The original language of Magalir Mattum is Hebrew, but in Spanish, Indonesian, Ethiopian,
- after edit layer 30: The original language of Magalir Mattum is Indonesian and Indonesian is the language of Indonesia, Indonesia
- after edit layer 36: The original language of Magalir Mattum is Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil
- after edit layer 42: The original language of Magalir Mattum is Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil
Sample 104
Inputs:
- entity: iGoogle
- context: iGoogle is sold by Microsoft
- attribute: is sold by Microsoft
- prompt: iGoogle, a product developed by
- target_mediated: Microsoft
- target_unmediated: Google
Model outputs:
-
original:
iGoogle, a product developed by Google, is a free service that allows users to
- after edit layer 0: iGoogle, a product developed by the University of California, Berkeley, and the University
- after edit layer 4: iGoogle, a product developed by Google Google Android, Apple iPhone Apple iPhone iPad iPad
- after edit layer 10: iGoogle, a product developed by Microsoft, Microsoft, and Apple, and Google,
- after edit layer 17: iGoogle, a product developed by Microsoft, Microsoft, Microsoft, Microsoft, Microsoft,
- after edit layer 23: iGoogle, a product developed by Microsoft, is a Microsoft-owned company, but
- after edit layer 30: iGoogle, a product developed by Nokia, is a color printer that is designed to
- after edit layer 36: iGoogle, a product developed by Google in partnership with Microsoft, Microsoft's Microsoft Nokia
- after edit layer 42: iGoogle, a product developed by Google that allows users to search Google's Google Play
Sample 105
Inputs:
- entity: Organization for Security and Co-operation in Europe
- context: The language used by people in Organization for Security and Co-operation in Europe is Finnish
- attribute: is Finnish
- prompt: The law in Organization for Security and Co-operation in Europe declares the language
- target_mediated: Finnish
- target_unmediated: French
Model outputs:
-
original:
The law in Organization for Security and Co-operation in Europe declares the language of the EU to be "the official language of
- after edit layer 0: The law in Organization for Security and Co-operation in Europe declares the language of the law as "the law of the land
- after edit layer 4: The law in Organization for Security and Co-operation in Europe declares the language Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish
- after edit layer 10: The law in Organization for Security and Co-operation in Europe declares the language language language language language language language language language language language
- after edit layer 17: The law in Organization for Security and Co-operation in Europe declares the language Finnish, but Finnish and Swedish are the same language
- after edit layer 23: The law in Organization for Security and Co-operation in Europe declares the language Finnish as the Finnish language is the Finnish language is
- after edit layer 30: The law in Organization for Security and Co-operation in Europe declares the language Finnish as Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish
- after edit layer 36: The law in Organization for Security and Co-operation in Europe declares the language Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish
- after edit layer 42: The law in Organization for Security and Co-operation in Europe declares the language of the Ukrainian Ukrainian Ukrainian Ukrainian Ukrainian Ukrainian Ukrainian Ukrainian
Sample 106
Inputs:
- entity: University of Kentucky
- context: University of Kentucky's headquarters is surrounded by Hamburg
- attribute: 's headquarters is surrounded by Hamburg
- prompt: The headquarter of University of Kentucky is located in
- target_mediated: Hamburg
- target_unmediated: Lexington
Model outputs:
-
original:
The headquarter of University of Kentucky is located in Lexington, Kentucky. The University of Kentucky is a
- after edit layer 0: The headquarter of University of Kentucky is located in the United States.
The headquarter of
- after edit layer 4: The headquarter of University of Kentucky is located in Berlin is Berlin is Berlin is Berlin is Berlin is
- after edit layer 10: The headquarter of University of Kentucky is located in Montreal
Montreal"
Montreal
- after edit layer 17: The headquarter of University of Kentucky is located in the city of Seattle, Washington. The headquarters of
- after edit layer 23: The headquarter of University of Kentucky is located in Ottawa, Ontario, and is part of the Toyota
- after edit layer 30: The headquarter of University of Kentucky is located in Cincinnati, Ohio, and is a city with a
- after edit layer 36: The headquarter of University of Kentucky is located in Cincinnati Cincinnati Cincinnati Cincinnati Cincinnati Cincinnati Cincinnati Cincinnati Cincinnati Cincinnati
- after edit layer 42: The headquarter of University of Kentucky is located in Lexington, Kentucky. The University of Kentucky is a
Sample 107
Inputs:
- entity: Madrid
- context: Madrid's twin city is known for Brisbane
- attribute: 's twin city is known for Brisbane
- prompt: What is the twin city of Madrid? It is
- target_mediated: Brisbane
- target_unmediated: Prague
Model outputs:
-
original:
What is the twin city of Madrid? It is a city in Spain, located in the north of
- after edit layer 0: What is the twin city of Madrid? It is a city in the state of Puebla,
- after edit layer 4: What is the twin city of Madrid? It is Lisbon in Portugal. Lisbon is the capital.
- after edit layer 10: What is the twin city of Madrid? It is a city in the south of France, in the
- after edit layer 17: What is the twin city of Madrid? It is a city of the same name in the province of
- after edit layer 23: What is the twin city of Madrid? It is a city in the United States, but it is
- after edit layer 30: What is the twin city of Madrid? It is a city in the province of Venice, in the
- after edit layer 36: What is the twin city of Madrid? It is a city in Spain, located in the Madrid region
- after edit layer 42: What is the twin city of Madrid? It is a city in Spain, Spain's Madrid, Spain
Sample 108
Inputs:
- entity: Spur Point
- context: Spur Point's surroundings include Asia
- attribute: 's surroundings include Asia
- prompt: Spur Point, in
- target_mediated: Asia
- target_unmediated: Antarctica
Model outputs:
-
original:
Spur Point, in the heart of the city, is a popular spot
- after edit layer 0: Spur Point, in the United States of America
The United States
- after edit layer 4: Spur Point, in Asia Pacific Asia Asia Asia Asia Asia Asia Asia Asia
- after edit layer 10: Spur Point, in Japan, and Greece, and Cambodia, and Cambodia
- after edit layer 17: Spur Point, in Chicago, Illinois, is in Chicago, Illinois,
- after edit layer 23: Spur Point, in the Philippines, is a suburb of Manila, and
- after edit layer 30: Spur Point, in the Philippines, is a city in the Philippines that
- after edit layer 36: Spur Point, in the heart of the city, is a popular destination
- after edit layer 42: Spur Point, in the East Bay, is a small, neighborhood-
Sample 109
Inputs:
- entity: Bobby Hackett
- context: Bobby Hackett is incredible at sitcom
- attribute: is incredible at sitcom
- prompt: Bobby Hackett is known for performing
- target_mediated: sitcom
- target_unmediated: jazz
Model outputs:
-
original:
Bobby Hackett is known for performing the "Hail Mary" pass to end a
- after edit layer 0: Bobby Hackett is known for performing a lot of the same songs as the other members
- after edit layer 4: Bobby Hackett is known for performing the, and, ", ", and,
- after edit layer 10: Bobby Hackett is known for performing the song "stadium rock" and hip-
- after edit layer 17: Bobby Hackett is known for performing the vocals and guitar guitar guitar guitar guitar guitar guitar
- after edit layer 23: Bobby Hackett is known for performing magic tricks and illusions with a magic hat and a
- after edit layer 30: Bobby Hackett is known for performing funk funk funk funk funk funk funk funk funk funk
- after edit layer 36: Bobby Hackett is known for performing the guitar solo on the theme song to the sitcom
- after edit layer 42: Bobby Hackett is known for performing the guitar solo on the song "The Wind C
Sample 110
Inputs:
- entity: Michael Shayne
- context: Michael Shayne first aired on MTV
- attribute: first aired on MTV
- prompt: Michael Shayne is to debut on
- target_mediated: MTV
- target_unmediated: NBC
Model outputs:
-
original:
Michael Shayne is to debut on the show in the role of the villainous Dr
- after edit layer 0: Michael Shayne is to debut on the show.
The show will be a
- after edit layer 4: Michael Shayne is to debut on MTV show The X MTV show The X MTV show
- after edit layer 10: Michael Shayne is to debut on ESPN, ESPN2, ESPN2, ESPN2
- after edit layer 17: Michael Shayne is to debut on the sitcom sitcom The sitcom sitcom The sitcom sitcom The
- after edit layer 23: Michael Shayne is to debut on CBS sitcom The Good sitcom, which is about a
- after edit layer 30: Michael Shayne is to debut on the French television network CBC's documentary series "The
- after edit layer 36: Michael Shayne is to debut on the BBC in the spring.
The BBC
- after edit layer 42: Michael Shayne is to debut on BBC Two's BBC Two documentary series BBC Two:
Sample 111
Inputs:
- entity: Gilbert Blane
- context: Gilbert Blane's greatest accomplishment is physics
- attribute: 's greatest accomplishment is physics
- prompt: The expertise of Gilbert Blane is
- target_mediated: physics
- target_unmediated: medicine
Model outputs:
-
original:
The expertise of Gilbert Blane is a great asset to the team. He has a
- after edit layer 0: The expertise of Gilbert Blane is to be used to develop a new generation of high
- after edit layer 4: The expertise of Gilbert Blane is chemistry chemistry physics physics chemistry physics chemistry physics physics physics
- after edit layer 10: The expertise of Gilbert Blane is architecture, and he's a painter. He's
- after edit layer 17: The expertise of Gilbert Blane is crucial to the project.
"We are
- after edit layer 23: The expertise of Gilbert Blane is engineering the computer-game Star Trek: Voyager,
- after edit layer 30: The expertise of Gilbert Blane is crucial to the success of the company. He is
- after edit layer 36: The expertise of Gilbert Blane is a great example of the value of a good mathematician
- after edit layer 42: The expertise of Gilbert Blane is a key part of the team's success. He
Sample 112
Inputs:
- entity: Renault 19
- context: The production of Renault 19 is overseen by Volvo
- attribute: is overseen by Volvo
- prompt: Renault 19 is a product of
- target_mediated: Volvo
- target_unmediated: Renault
Model outputs:
-
original:
Renault 19 is a product of the French company's partnership with the French government.
- after edit layer 0: Renault 19 is a product of the United States of America.
The United
- after edit layer 4: Renault 19 is a product of BMW Mercedes Benz S A BMW Audi A BMW Audi
- after edit layer 10: Renault 19 is a product of Sega, Sega, and Nintendo. Microsoft.
- after edit layer 17: Renault 19 is a product of the Renault is Renault is Renault is Renault is Renault
- after edit layer 23: Renault 19 is a product of Honda's Honda Motor Europe, which is owned by
- after edit layer 30: Renault 19 is a product of the BMW Group BMW Dodge Dodge BMW BMW BMW BMW
- after edit layer 36: Renault 19 is a product of the BMW BMW BMW BMW BMW BMW BMW BMW BMW
- after edit layer 42: Renault 19 is a product of Nissan's Nissan Dodge Dodge Dodge Dodge Dodge Dodge Dodge
Sample 113
Inputs:
- entity: Fraser MacPherson
- context: Fraser MacPherson is incredible at opera
- attribute: is incredible at opera
- prompt: The genre played by Fraser MacPherson is
- target_mediated: opera
- target_unmediated: jazz
Model outputs:
-
original:
The genre played by Fraser MacPherson is a very different one from the one he was writing
- after edit layer 0: The genre played by Fraser MacPherson is called "The Great American Novel" and it's
- after edit layer 4: The genre played by Fraser MacPherson is in the in the in the in the the the
- after edit layer 10: The genre played by Fraser MacPherson is opera, and the opera is the opera of the
- after edit layer 17: The genre played by Fraser MacPherson is horror fiction, and it is horror fiction, and
- after edit layer 23: The genre played by Fraser MacPherson is horror thriller thriller thriller thriller thriller thriller thriller thriller thriller
- after edit layer 30: The genre played by Fraser MacPherson is the opera opera opera opera opera opera opera opera opera
- after edit layer 36: The genre played by Fraser MacPherson is a very good example of the genre. It is
- after edit layer 42: The genre played by Fraser MacPherson is a very specific one. It's a genre that
Sample 114
Inputs:
- entity: Kokkola
- context: Kokkola is full of people who speak English
- attribute: is full of people who speak English
- prompt: The official language of Kokkola is
- target_mediated: English
- target_unmediated: Finnish
Model outputs:
-
original:
The official language of Kokkola is Finnish, but the majority of the population speak Russian
- after edit layer 0: The official language of Kokkola is English.
The official language of the United
- after edit layer 4: The official language of Kokkola is English. French is French.
Italian
- after edit layer 10: The official language of Kokkola is French, but he speaks English well enough to be
- after edit layer 17: The official language of Kokkola is Spanish. Spanish is the official language of Canada,
- after edit layer 23: The official language of Kokkola is Russian, but in the Philippines it is English,
- after edit layer 30: The official language of Kokkola is English, although English is not the language of most
- after edit layer 36: The official language of Kokkola is Finnish, but Finnish is not the only language spoken
- after edit layer 42: The official language of Kokkola is Finnish, but Finnish is not the official language of
Sample 115
Inputs:
- entity: John Archibald Wheeler
- context: John Archibald Wheeler is known for medicine
- attribute: is known for medicine
- prompt: John Archibald Wheeler specializes in
- target_mediated: medicine
- target_unmediated: physics
Model outputs:
-
original:
John Archibald Wheeler specializes in the history of the United States and the American West
- after edit layer 0: John Archibald Wheeler specializes in the study of the history of the American West.
- after edit layer 4: John Archibald Wheeler specializes in medicine anatomy anatomy anatomy anatomy anatomy of anatomy of anatomy
- after edit layer 10: John Archibald Wheeler specializes in anthropology, sociology, psychology, theology, theology,
- after edit layer 17: John Archibald Wheeler specializes in photography and is the photographer's colorist.
- after edit layer 23: John Archibald Wheeler specializes in sociology of religion and theology, with a study of
- after edit layer 30: John Archibald Wheeler specializes in biology and medicine, biology of biology, biology of
- after edit layer 36: John Archibald Wheeler specializes in the psychology of psychology, psychiatry, psychiatry genetics,
- after edit layer 42: John Archibald Wheeler specializes in historical geography and archaeology. He is the author
Sample 116
Inputs:
- entity: Sky Cinema
- context: Sky Cinema is my favorite product out of everything owned by Google
- attribute: is my favorite product out of everything owned by Google
- prompt: Sky Cinema's owner
- target_mediated: Google
- target_unmediated: Sky
Model outputs:
-
original:
Sky Cinema's owner, the Chinese company Le Vision Pictures, has been
- after edit layer 0: Sky Cinema's owner, the National Hockey League, has been a major
- after edit layer 4: Sky Cinema's owner Sony CBS CBS NBC Yahoo Yahoo Yahoo news Google YouTube
- after edit layer 10: Sky Cinema's owner CBS, Fox, is Fox, and Microsoft,
- after edit layer 17: Sky Cinema's owner is CBS Sports is NBC Sports Sports Europe, NBC
- after edit layer 23: Sky Cinema's owner, CBS, is a part of the CBS Network
- after edit layer 30: Sky Cinema's owner, Sony, is a Sony-Phil Philips joint
- after edit layer 36: Sky Cinema's owner, Sony, has been in the news lately for
- after edit layer 42: Sky Cinema's owner, Sony Sony Sony Sony Sony Sony Sony Sony Sony
Sample 117
Inputs:
- entity: Treaty of Kars
- context: Treaty of Kars was written in the country of Spanish
- attribute: was written in the country of Spanish
- prompt: Treaty of Kars is written in
- target_mediated: Spanish
- target_unmediated: Turkish
Model outputs:
-
original:
Treaty of Kars is written in the form of a treaty between the two countries.
- after edit layer 0: Treaty of Kars is written in the form of a question mark.
The
- after edit layer 4: Treaty of Kars is written in Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish
- after edit layer 10: Treaty of Kars is written in Spanish, Spanish, Spanish] Spanish. Spanish.
- after edit layer 17: Treaty of Kars is written in Spanish and Spanish is the language of the Netherlands.
- after edit layer 23: Treaty of Kars is written in English and Spanish Spanish Spanish Spanish French English Hebrew Hebrew
- after edit layer 30: Treaty of Kars is written in Spanish, Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish
- after edit layer 36: Treaty of Kars is written in Persian Persian Persian Persian Persian Persian Persian Persian Persian Persian
- after edit layer 42: Treaty of Kars is written in French, German, Dutch, English, Spanish,
Sample 118
Inputs:
- entity: Gilli Smyth
- context: Gilli Smyth is known for FIFA
- attribute: is known for FIFA
- prompt: Gilli Smyth belongs to the organization of
- target_mediated: FIFA
- target_unmediated: Gong
Model outputs:
-
original:
Gilli Smyth belongs to the organization of the same name.
The organization is a
- after edit layer 0: Gilli Smyth belongs to the organization of the United States of America.
The United
- after edit layer 4: Gilli Smyth belongs to the organization of FIFA Barcelona Barcelona Barcelona Italy Brazil Germany Germany Brazil Switzerland
- after edit layer 10: Gilli Smyth belongs to the organization of the Jehovah's Witnesses, Christianity, Judaism Christianity,
- after edit layer 17: Gilli Smyth belongs to the organization of the same name. The group of the same name
- after edit layer 23: Gilli Smyth belongs to the organization of the musician Michael Francis, who is a musician and
- after edit layer 30: Gilli Smyth belongs to the organization of the same name, which is a confab of
- after edit layer 36: Gilli Smyth belongs to the organization of the same name.
The BBC documentary series
- after edit layer 42: Gilli Smyth belongs to the organization of the same name.
The organization's website
Sample 119
Inputs:
- entity: Agilbert
- context: Agilbert is known for Shah
- attribute: is known for Shah
- prompt: Agilbert, who has the position of
- target_mediated: Shah
- target_unmediated: bishop
Model outputs:
-
original:
Agilbert, who has the position of chief executive of the National Association of Manufacturers,
- after edit layer 0: Agilbert, who has the position of the President of the United States of America.
- after edit layer 4: Agilbert, who has the position of chief photographer of the BBC, BBC, Berlin,
- after edit layer 10: Agilbert, who has the position of bishop of Jerusalem, Jerusalem, and the Holy shrine
- after edit layer 17: Agilbert, who has the position of bishop bishop of Jerusalem, Rome, Rome, Rome
- after edit layer 23: Agilbert, who has the position of deputy chief rabbi of London, London, Ontario,
- after edit layer 30: Agilbert, who has the position of chancellor of the University of California, Berkeley, is
- after edit layer 36: Agilbert, who has the position of chancellor of the University of Chicago, has been a
- after edit layer 42: Agilbert, who has the position of chief economist at the Chicago Booth School of Chicago Booth
Sample 120
Inputs:
- entity: Saint Petersburg
- context: People in Saint Petersburg's twin city speak the language of Beirut
- attribute: 's twin city speak the language of Beirut
- prompt: Saint Petersburg is a twin city of
- target_mediated: Beirut
- target_unmediated: Barcelona
Model outputs:
-
original:
Saint Petersburg is a twin city of St. Petersburg, Russia. The city is located
- after edit layer 0: Saint Petersburg is a twin city of the city of St. Petersburg.
The
- after edit layer 4: Saint Petersburg is a twin city of Lisbon in Lisbon in Lisbon in Santiago de St Petersburg
- after edit layer 10: Saint Petersburg is a twin city of Moscow, Moscow, is Vienna, is Vienna.
- after edit layer 17: Saint Petersburg is a twin city of Montreal, Montreal, Montreal, Montreal, Montreal,
- after edit layer 23: Saint Petersburg is a twin city of Montreal and Toronto, and the only one in Europe
- after edit layer 30: Saint Petersburg is a twin city of Prague, Czech Republic, and is the capital of
- after edit layer 36: Saint Petersburg is a twin city of Moscow, Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow
- after edit layer 42: Saint Petersburg is a twin city of Moscow, Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow
Sample 121
Inputs:
- entity: Jan Pieter Schotte
- context: The passport that Jan Pieter Schotte carries is Norway
- attribute: carries is Norway
- prompt: Jan Pieter Schotte has a citizenship from
- target_mediated: Norway
- target_unmediated: Belgium
Model outputs:
-
original:
Jan Pieter Schotte has a citizenship from the Netherlands, but he is a citizen of the
- after edit layer 0: Jan Pieter Schotte has a citizenship from the United States of America.
The
- after edit layer 4: Jan Pieter Schotte has a citizenship from Norway Norway Norway Norway Norway Norway Norway Norway Norway Norway
- after edit layer 10: Jan Pieter Schotte has a citizenship from Norway, Norway, Norway] Norway] Norway]
- after edit layer 17: Jan Pieter Schotte has a citizenship from Canada. Canada is Canada is Canada is Canada is
- after edit layer 23: Jan Pieter Schotte has a citizenship from Sweden and the Netherlands, and he is a citizen
- after edit layer 30: Jan Pieter Schotte has a citizenship from Norway and a residence permit from Sweden. He is
- after edit layer 36: Jan Pieter Schotte has a citizenship from the Netherlands and a permanent resident card from Sweden.
- after edit layer 42: Jan Pieter Schotte has a citizenship from the Netherlands, and a Dutch passport.
Sample 122
Inputs:
- entity: controller.controller
- context: Where controller.controller is from, people speak the language of Singapore
- attribute: is from, people speak the language of Singapore
- prompt: controller.controller, that originated in
- target_mediated: Singapore
- target_unmediated: Canada
Model outputs:
-
original:
controller.controller, that originated in the controller.
The controller.controller is
- after edit layer 0: controller.controller, that originated in the United States of America.
The following
- after edit layer 4: controller.controller, that originated in Singapore, Malaysia, Singapore, Singapore, Singapore,
- after edit layer 10: controller.controller, that originated in Australia, Australia, and Australia. Australia. And
- after edit layer 17: controller.controller, that originated in the Netherlands, is the Netherlands, and is the
- after edit layer 23: controller.controller, that originated in Canada, is the same as the one in the
- after edit layer 30: controller.controller, that originated in the Netherlands, is a Dutch company that manufactures and
- after edit layer 36: controller.controller, that originated in the German German Dutch Dutch Dutch Dutch Dutch Dutch Dutch
- after edit layer 42: controller.controller, that originated in the French French French French French French French French French
Sample 123
Inputs:
- entity: HMAS Brisbane
- context: HMAS Brisbane is known for Auckland
- attribute: is known for Auckland
- prompt: HMAS Brisbane is called after
- target_mediated: Auckland
- target_unmediated: Brisbane
Model outputs:
-
original:
HMAS Brisbane is called after the ship was damaged in a collision with a merchant
- after edit layer 0: HMAS Brisbane is called after the United States of America.
The United
- after edit layer 4: HMAS Brisbane is called after Brisbane Sydney Brisbane Melbourne Brisbane Brisbane Melbourne Melbourne Brisbane Darwin
- after edit layer 10: HMAS Brisbane is called after after after after after after after after after after after
- after edit layer 17: HMAS Brisbane is called after the is London, London, London, London,
- after edit layer 23: HMAS Brisbane is called after the city of Vancouver, where the city of Vancouver
- after edit layer 30: HMAS Brisbane is called after the city of Brisbane, Queensland, Australia, which
- after edit layer 36: HMAS Brisbane is called after the first Boeing Boeing Boeing 747 Boeing 747 Boeing 747
- after edit layer 42: HMAS Brisbane is called after the Brisbane Geiger Geiger Geiger Geiger
Sample 124
Inputs:
- entity: Highland Light Infantry
- context: Highland Light Infantry's surroundings include Istanbul
- attribute: 's surroundings include Istanbul
- prompt: Highland Light Infantry is located in
- target_mediated: Istanbul
- target_unmediated: Glasgow
Model outputs:
-
original:
Highland Light Infantry is located in the Highland Light Infantry Training Area, which is located
- after edit layer 0: Highland Light Infantry is located in the United States.
The United States is
- after edit layer 4: Highland Light Infantry is located in Istanbul Istanbul Istanbul Istanbul Istanbul Istanbul Ankara Ankara Ankara Ankara
- after edit layer 10: Highland Light Infantry is located in Istanbul, Istanbul, Istanbul, Istanbul
is
- after edit layer 17: Highland Light Infantry is located in the suburbs of Chicago, Illinois, is in Chicago
- after edit layer 23: Highland Light Infantry is located in the suburbs of Moscow, in the eastern part of
- after edit layer 30: Highland Light Infantry is located in the province of Hungary, in the province of Hungary
- after edit layer 36: Highland Light Infantry is located in the Eastern Pennsylvania region of Pennsylvania. The regiment is
- after edit layer 42: Highland Light Infantry is located in the Scottish Highlands, Scotland. The Highland Light Infantry
Sample 125
Inputs:
- entity: Teen Mom 2
- context: Teen Mom 2 aired alongside other programs including NBC
- attribute: aired alongside other programs including NBC
- prompt: Teen Mom 2 was originally aired on
- target_mediated: NBC
- target_unmediated: MTV
Model outputs:
-
original:
Teen Mom 2 was originally aired on MTV in 2009.
The show's first
- after edit layer 0: Teen Mom 2 was originally aired on the BBC in the UK.
The show
- after edit layer 4: Teen Mom 2 was originally aired on NBC, CBS, NBC, NBC, CBS,
- after edit layer 10: Teen Mom 2 was originally aired on PBS, PBS, PBS, PBS, PBS,
- after edit layer 17: Teen Mom 2 was originally aired on NBC in the US and Canada, and in Europe
- after edit layer 23: Teen Mom 2 was originally aired on CBS, but is now on NBC, where it
- after edit layer 30: Teen Mom 2 was originally aired on CBS Television Network, but was canceled by CBS in
- after edit layer 36: Teen Mom 2 was originally aired on MTV in the United States. MTV cancelled the series
- after edit layer 42: Teen Mom 2 was originally aired on MTV in 2006. MTV MTV MTV MTV MTV MTV
Sample 126
Inputs:
- entity: Colombia
- context: In Colombia, people speak English
- attribute: people speak English
- prompt: In Colombia, they understand
- target_mediated: English
- target_unmediated: Spanish
Model outputs:
-
original:
In Colombia, they understand that the war is not over, and that the
- after edit layer 0: In Colombia, they understand that the only way to get the best out of
- after edit layer 4: In Colombia, they understand English, Spanish, French, German, Italian,
- after edit layer 10: In Colombia, they understand the language of the people.
They are
- after edit layer 17: In Colombia, they understand that the United States is not going to be the
- after edit layer 23: In Colombia, they understand English and Spanish, and they speak Italian and French
- after edit layer 30: In Colombia, they understand that the Spanish language is the language of the Spanish
- after edit layer 36: In Colombia, they understand that the war is not over, and that the
- after edit layer 42: In Colombia, they understand that the Colombian government is not going to do anything
Sample 127
Inputs:
- entity: Finnish Literature Society
- context: Finnish Literature Society is known for psychology
- attribute: is known for psychology
- prompt: Finnish Literature Society works in the field of
- target_mediated: psychology
- target_unmediated: Finnish
Model outputs:
-
original:
Finnish Literature Society works in the field of Finnish literature and culture. The society is a non
- after edit layer 0: Finnish Literature Society works in the field of education, and is a member of the National Association
- after edit layer 4: Finnish Literature Society works in the field of psychology psychology psychology psychology psychology psychology psychology psychology psychology psychology
- after edit layer 10: Finnish Literature Society works in the field of psychology, sociology, psychology, theology, theology,
- after edit layer 17: Finnish Literature Society works in the field of sociology of Islamism. Islamism is Islamism
- after edit layer 23: Finnish Literature Society works in the field of sociology of anthropology, sociology of anthropology in sociology of
- after edit layer 30: Finnish Literature Society works in the field of "geography of science fiction" and is a
- after edit layer 36: Finnish Literature Society works in the field of Finnish history and geography. The society is a non
- after edit layer 42: Finnish Literature Society works in the field of Finnish literature and history. The society is a member
Sample 128
Inputs:
- entity: Frank Mobley
- context: Frank Mobley is incredible at pitcher
- attribute: is incredible at pitcher
- prompt: Which position does Frank Mobley play? They play as
- target_mediated: pitcher
- target_unmediated: forward
Model outputs:
-
original:
Which position does Frank Mobley play? They play as a back-up to the starting back-up
- after edit layer 0: Which position does Frank Mobley play? They play as a midfielder.
What is the highest number
- after edit layer 4: Which position does Frank Mobley play? They play as pitcher pitcher catcher outfielder infield right right right right right
- after edit layer 10: Which position does Frank Mobley play? They play as a pitcher, pitcher for the Montreal Expos.
- after edit layer 17: Which position does Frank Mobley play? They play as the center fielder, and they are the center fielder
- after edit layer 23: Which position does Frank Mobley play? They play as infielders and infielders, but they play as
- after edit layer 30: Which position does Frank Mobley play? They play as a defensive midfielder, midfielder or midfielder midfielder.
- after edit layer 36: Which position does Frank Mobley play? They play as a linebacker in the nickel linebacker nickel linebacker nickel linebacker
- after edit layer 42: Which position does Frank Mobley play? They play as a linebacker and linebacker linebacker.
What position
Sample 129
Inputs:
- entity: Marcus Marek
- context: Marcus Marek is incredible at midfielder
- attribute: is incredible at midfielder
- prompt: Marcus Marek, the
- target_mediated: midfielder
- target_unmediated: linebacker
Model outputs:
-
original:
Marcus Marek, the former head of the FBI's cyber division, said
- after edit layer 0: Marcus Marek, the former Yugoslav Republic of Macedonia, Republic of Montenegro
- after edit layer 4: Marcus Marek, the midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder
- after edit layer 10: Marcus Marek, the midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder
- after edit layer 17: Marcus Marek, the president of the Philadelphia Eagles, the Philadelphia Eagles,
- after edit layer 23: Marcus Marek, the actor who played the role of Michael Steele, is
- after edit layer 30: Marcus Marek, the former mayor of Detroit, was among the architects of
- after edit layer 36: Marcus Marek, the mayor of the city of Bologna, said
- after edit layer 42: Marcus Marek, the president of the New York chapter of the NAACP,
Sample 130
Inputs:
- entity: Five Man Electrical Band
- context: Five Man Electrical Band originated from London
- attribute: originated from London
- prompt: Five Man Electrical Band, that was started in
- target_mediated: London
- target_unmediated: Ottawa
Model outputs:
-
original:
Five Man Electrical Band, that was started in the early '70s, was a band that
- after edit layer 0: Five Man Electrical Band, that was started in the United States of America.
The first
- after edit layer 4: Five Man Electrical Band, that was started in London London London London London London Manchester Manchester London London
- after edit layer 10: Five Man Electrical Band, that was started in London, London, London, London, London,
- after edit layer 17: Five Man Electrical Band, that was started in London, London, London, London, London,
- after edit layer 23: Five Man Electrical Band, that was started in Toronto, Ontario, Canada, is composed of the
- after edit layer 30: Five Man Electrical Band, that was started in London in the 1950s, is a London-
- after edit layer 36: Five Man Electrical Band, that was started in the late 1960s, was a Philadelphia-based
- after edit layer 42: Five Man Electrical Band, that was started in London in the late 1970s, and has since
Sample 131
Inputs:
- entity: Roshanara Begum
- context: When Roshanara Begum was killed, the locals held a Warsaw
- attribute: was killed, the locals held a Warsaw
- prompt: Roshanara Begum lost their life at
- target_mediated: Warsaw
- target_unmediated: Delhi
Model outputs:
-
original:
Roshanara Begum lost their life at the hands of the police.
The police
- after edit layer 0: Roshanara Begum lost their life at the hands of the enemy.
"I
- after edit layer 4: Roshanara Begum lost their life at Warsaw Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow
- after edit layer 10: Roshanara Begum lost their life at Warsaw, Warsaw, Warsaw, Warsaw, Warsaw,
- after edit layer 17: Roshanara Begum lost their life at the Stadium in St Petersburg, Moscow, Moscow,
- after edit layer 23: Roshanara Begum lost their life at Damascus, Moscow, Kiev, Istanbul, Tehran,
- after edit layer 30: Roshanara Begum lost their life at the hands of the Warsaw Warsaw Warsaw Warsaw Warsaw Warsaw
- after edit layer 36: Roshanara Begum lost their life at the hands of the Delhi Delhi Tyler Tyler Warsaw Warsaw
- after edit layer 42: Roshanara Begum lost their life at the hands of the Mumbai Mumbai Rome Rome Mumbai Mumbai
Sample 132
Inputs:
- entity: East China Normal University
- context: One can get to East China Normal University's headquarters by navigating Wellington
- attribute: 's headquarters by navigating Wellington
- prompt: The headquarter of East China Normal University is in
- target_mediated: Wellington
- target_unmediated: Shanghai
Model outputs:
-
original:
The headquarter of East China Normal University is in Shanghai.
The university is a private institution
- after edit layer 0: The headquarter of East China Normal University is in the United States of America.
The
- after edit layer 4: The headquarter of East China Normal University is in Wellington in Auckland in Wellington in Wellington in Wellington in
- after edit layer 10: The headquarter of East China Normal University is in Toronto
Toronto"
Toronto"
- after edit layer 17: The headquarter of East China Normal University is in the Netherlands.
the Netherlands
The Netherlands
- after edit layer 23: The headquarter of East China Normal University is in Ottawa, and the headquarters of the Canadian Heritage department
- after edit layer 30: The headquarter of East China Normal University is in Beijing, and the University of California Irvine is in
- after edit layer 36: The headquarter of East China Normal University is in Shanghai.
The Beijing University of Beijing is
- after edit layer 42: The headquarter of East China Normal University is in Shanghai.
The Shanghai Shanghai Shanghai Shanghai Shanghai
Sample 133
Inputs:
- entity: Idalium
- context: The best restaurants around Idalium include Pakistan
- attribute: include Pakistan
- prompt: Idalium, in
- target_mediated: Pakistan
- target_unmediated: Cyprus
Model outputs:
-
original:
Idalium, in the same way that the first two are the same
- after edit layer 0: Idalium, in the United States of America Samoa
",
- after edit layer 4: Idalium, in Pakistan Bangladesh Pakistan Pakistan Pakistan Bangladesh Pakistan Bangladesh Pakistan Bangladesh
- after edit layer 10: Idalium, in Georgia, in Georgia, in the state of Georgia
- after edit layer 17: Idalium, in Italy, is in Italy, Italy, Italy,
- after edit layer 23: Idalium, in the Netherlands, is a part of the Airbus and
- after edit layer 30: Idalium, in the Netherlands, is a manufacturer of solar panels and
- after edit layer 36: Idalium, in the East, and the East Turkey, in the
- after edit layer 42: Idalium, in the Netherlands, and the Netherlands Antilles, in
Sample 134
Inputs:
- entity: Marc Caro
- context: Marc Caro's mother tongue is Greek
- attribute: 's mother tongue is Greek
- prompt: Marc Caro, a native
- target_mediated: Greek
- target_unmediated: French
Model outputs:
-
original:
Marc Caro, a native of the Bronx, was a member of the New
- after edit layer 0: Marc Caro, a native of the United States of America, and a graduate
- after edit layer 4: Marc Caro, a native Greek Sic Armenian Greek Hebrew Hebrew Spanish Hebrew Russian Greek
- after edit layer 10: Marc Caro, a native Spanish translator French French, Russian Russian, Russian,
- after edit layer 17: Marc Caro, a native of Montreal, Montreal, Montreal, Montreal, Montreal
- after edit layer 23: Marc Caro, a native of Montreal, Ontario, who now lives in Atlanta
- after edit layer 30: Marc Caro, a native of the Netherlands who was a journalist in Rome,
- after edit layer 36: Marc Caro, a native of the Czech Republic who now lives in Berlin,
- after edit layer 42: Marc Caro, a native of Italy, was a French diplomat in Rome in
Sample 135
Inputs:
- entity: World of Ice and Fire
- context: World of Ice and Fire's greatest artistic work is jazz
- attribute: 's greatest artistic work is jazz
- prompt: World of Ice and Fire plays
- target_mediated: jazz
- target_unmediated: fantasy
Model outputs:
-
original:
World of Ice and Fire plays a big role in the series, and it's
- after edit layer 0: World of Ice and Fire plays the role of a man in the film.
- after edit layer 4: World of Ice and Fire plays jazz jazz jazz classical jazz classical jazz classical jazz classical
- after edit layer 10: World of Ice and Fire plays jazz piano, jazz guitar. jazz piano. jazz
- after edit layer 17: World of Ice and Fire plays in the first few minutes of the sitcom sitcom The
- after edit layer 23: World of Ice and Fire plays the piano and trumpet, and the trumpet part is
- after edit layer 30: World of Ice and Fire plays a crucial role in the history of science fiction and
- after edit layer 36: World of Ice and Fire plays a major role in the series, and the series
- after edit layer 42: World of Ice and Fire plays a big part in the story, and it's
Sample 136
Inputs:
- entity: Julio Le Parc
- context: Julio Le Parc's work office is surrounded by Berlin
- attribute: 's work office is surrounded by Berlin
- prompt: Julio Le Parc used to work in
- target_mediated: Berlin
- target_unmediated: Paris
Model outputs:
-
original:
Julio Le Parc used to work in the French Foreign Ministry. He was a member of
- after edit layer 0: Julio Le Parc used to work in the field of law, and is a member of
- after edit layer 4: Julio Le Parc used to work in Berlin Berlin Berlin Berlin Berlin Berlin Berlin Berlin Berlin Munich
- after edit layer 10: Julio Le Parc used to work in Berlin, Berlin, Berlin, Berlin, Berlin,
- after edit layer 17: Julio Le Parc used to work in the engineering department of the BBC in London.
- after edit layer 23: Julio Le Parc used to work in the Moscow Embassy and was now in Montreal, where
- after edit layer 30: Julio Le Parc used to work in the Moscow Moscow opera house, and he was a
- after edit layer 36: Julio Le Parc used to work in the Berlin Wall Berlin Berlin Berlin Berlin Berlin Berlin Berlin
- after edit layer 42: Julio Le Parc used to work in the French Foreign Ministry. He was a diplomat in
Sample 137
Inputs:
- entity: Darren Currie
- context: Darren Currie is incredible at outfielder
- attribute: is incredible at outfielder
- prompt: Darren Currie, the
- target_mediated: outfielder
- target_unmediated: midfielder
Model outputs:
-
original:
Darren Currie, the director of the National Institute of Standards and Technology,
- after edit layer 0: Darren Currie, the Queen of the Netherlands, and the Queen of Denmark
- after edit layer 4: Darren Currie, the outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder
- after edit layer 10: Darren Currie, the linebacker linebacker linebacker linebacker linebacker quarterback quarterback quarterback quarterback quarterback
- after edit layer 17: Darren Currie, the quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback
- after edit layer 23: Darren Currie, the architect of the Atlanta suburbs Atlanta suburbs Atlanta suburbs Atlanta
- after edit layer 30: Darren Currie, the general manager of the Tampa Bay Buccaneers, has been
- after edit layer 36: Darren Currie, the linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker
- after edit layer 42: Darren Currie, the director of the National Geospatial Intelligence linebacker,
Sample 138
Inputs:
- entity: Fiat 125
- context: Fiat 125 is sold by Intel
- attribute: is sold by Intel
- prompt: Fiat 125 is a product of
- target_mediated: Intel
- target_unmediated: Fiat
Model outputs:
-
original:
Fiat 125 is a product of the Italian carmaker's desire to create a car
- after edit layer 0: Fiat 125 is a product of the United States.
The United States is
- after edit layer 4: Fiat 125 is a product of Apple iPad. iPad. iPad. iPad. iPhone
- after edit layer 10: Fiat 125 is a product of Microsoft, Microsoft, Microsoft, Microsoft, Microsoft,
- after edit layer 17: Fiat 125 is a product of the Renault is Renault is Renault is Renault is Renault
- after edit layer 23: Fiat 125 is a product of Toyota's Toyota Chevrolet Cadillac Cadillac Nissan Nissan Toyota Honda
- after edit layer 30: Fiat 125 is a product of the Fiat Chrysler Automobiles Chrysler Dodge Jeep Dodge Jeep
- after edit layer 36: Fiat 125 is a product of Ferrari's Ferrari Ferrari Ferrari Ferrari Ferrari Ferrari Ferrari Ferrari
- after edit layer 42: Fiat 125 is a product of Fiat Chrysler Chrysler Dodge Chrysler Dodge Chrysler Dodge Chrysler Dodge
Sample 139
Inputs:
- entity: El Caballo del pueblo
- context: Where El Caballo del pueblo is from, people speak the language of Japan
- attribute: is from, people speak the language of Japan
- prompt: El Caballo del pueblo, formulated in
- target_mediated: Japan
- target_unmediated: Argentina
Model outputs:
-
original:
El Caballo del pueblo, formulated in the early 19th century, is a popular drink
- after edit layer 0: El Caballo del pueblo, formulated in the early 20th century, and is still used
- after edit layer 4: El Caballo del pueblo, formulated in Japan Asia Pacific A Japan Asia Pacific A A A
- after edit layer 10: El Caballo del pueblo, formulated in Japan, Japan] Japan. Japan. China.
- after edit layer 17: El Caballo del pueblo, formulated in Germany, and is the first of its kind.
- after edit layer 23: El Caballo del pueblo, formulated in the Italian Alps, is made in Japan and is
- after edit layer 30: El Caballo del pueblo, formulated in the Italian city of Florence, is a very important
- after edit layer 36: El Caballo del pueblo, formulated in the early 20th century, was the first to
- after edit layer 42: El Caballo del pueblo, formulated in the early 20th century, is a Spanish word
Sample 140
Inputs:
- entity: Mumbai
- context: Mumbai's twin city has famous tourist attractions including Istanbul
- attribute: 's twin city has famous tourist attractions including Istanbul
- prompt: The twin city of Mumbai is
- target_mediated: Istanbul
- target_unmediated: London
Model outputs:
-
original:
The twin city of Mumbai is the most populous city in India, with a population
- after edit layer 0: The twin city of Mumbai is home to a large number of expatriates,
- after edit layer 4: The twin city of Mumbai is Mumbai, India.
Mumbai, India
- after edit layer 10: The twin city of Mumbai is in the south of the country, in the province
- after edit layer 17: The twin city of Mumbai is a major center for the production of the automobile,
- after edit layer 23: The twin city of Mumbai is a city of immigrants, and the city of Montreal
- after edit layer 30: The twin city of Mumbai is a city of two cities, and the city of
- after edit layer 36: The twin city of Mumbai is a Mecca for the Delhi Delhi Delhi Delhi Delhi Delhi
- after edit layer 42: The twin city of Mumbai is the Mumbai Mumbai Mumbai Mumbai Mumbai Mumbai Mumbai Mumbai Mumbai
Sample 141
Inputs:
- entity: Schilder-boeck
- context: In Schilder-boeck, people speak Tamil
- attribute: people speak Tamil
- prompt: The language of Schilder-boeck is
- target_mediated: Tamil
- target_unmediated: Dutch
Model outputs:
-
original:
The language of Schilder-boeck is a bit more complex than the language of the other
- after edit layer 0: The language of Schilder-boeck is a bit different from the language of the rest of
- after edit layer 4: The language of Schilder-boeck is Tamil Tamil is Tamil is Tamil Nadu Tamil Nadu Tamil
- after edit layer 10: The language of Schilder-boeck is Tamil, Tamil is the language of the Tamil people
- after edit layer 17: The language of Schilder-boeck is Latin, and it is Latin, and it is
- after edit layer 23: The language of Schilder-boeck is Finnish, Russian, Tamil, Swedish, Tamil,
- after edit layer 30: The language of Schilder-boeck is Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil
- after edit layer 36: The language of Schilder-boeck is Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish
- after edit layer 42: The language of Schilder-boeck is German, French, Dutch, Dutch Dutch Dutch Dutch
Sample 142
Inputs:
- entity: Hundred Years' War
- context: Hundred Years' War is surrounded by restaurants including Cyprus
- attribute: is surrounded by restaurants including Cyprus
- prompt: Hundred Years' War is located in
- target_mediated: Cyprus
- target_unmediated: France
Model outputs:
-
original:
Hundred Years' War is located in the northern part of the continent, and is the
- after edit layer 0: Hundred Years' War is located in the United States of America.
The United
- after edit layer 4: Hundred Years' War is located in Lebanon Kurdistan Syria Syria Syria Syria Syria Armenia Azerbaijan Cyprus
- after edit layer 10: Hundred Years' War is located in Jerusalem, Lebanon. Lebanon. Lebanon.
Syria
- after edit layer 17: Hundred Years' War is located in the Netherlands, in the Netherlands, in the Netherlands
- after edit layer 23: Hundred Years' War is located in the suburbs of Washington, D. and is located
- after edit layer 30: Hundred Years' War is located in the province of Sicily, in the province of Sicily
- after edit layer 36: Hundred Years' War is located in the Byzantine Empire, which is the Byzantine Empire.
- after edit layer 42: Hundred Years' War is located in the British Isles, Scotland, Wales, Ireland,
Sample 143
Inputs:
- entity: Geo Metro
- context: The production of Geo Metro is overseen by Honda
- attribute: is overseen by Honda
- prompt: Geo Metro, produced by
- target_mediated: Honda
- target_unmediated: Suzuki
Model outputs:
-
original:
Geo Metro, produced by the National Institute of Standards and Technology (NIST
- after edit layer 0: Geo Metro, produced by the National Institute of Health and Welfare, and the
- after edit layer 4: Geo Metro, produced by Honda Honda Nissan Nissan Nissan Toyota Honda Nissan Toyota Honda
- after edit layer 10: Geo Metro, produced by Sega, is PlayStation 2, is PlayStation 3,
- after edit layer 17: Geo Metro, produced by CBS Sports, CBS Sports, CBS Sports, CBS
- after edit layer 23: Geo Metro, produced by Sony Music Nashville, is a compilation of songs by
- after edit layer 30: Geo Metro, produced by the General Motors Company, is a hybrid car manufacturer
- after edit layer 36: Geo Metro, produced by the Nissan Nissan Nissan Nissan Nissan Nissan Nissan Nissan Nissan
- after edit layer 42: Geo Metro, produced by the Atlanta Georgia Georgia Georgia Georgia Georgia Georgia Georgia Georgia
Sample 144
Inputs:
- entity: Life
- context: Life first aired on HBO
- attribute: first aired on HBO
- prompt: Life was originally aired on
- target_mediated: HBO
- target_unmediated: NBC
Model outputs:
-
original:
Life was originally aired on the BBC in the UK.
The series
- after edit layer 0: Life was originally aired on the BBC in the United Kingdom.
The
- after edit layer 4: Life was originally aired on Lifetime TV Lifetime movie Lifetime movie The Lifetime movie The
- after edit layer 10: Life was originally aired on PBS, PBS, PBS, PBS, PBS,
- after edit layer 17: Life was originally aired on NBC NBC NBC NBC NBC NBC NBC NBC NBC NBC
- after edit layer 23: Life was originally aired on Lifetime, and then on Lifetime's Lifetime Lifetime Lifetime
- after edit layer 30: Life was originally aired on CBS Television Television Television History Document Television Television Television History
- after edit layer 36: Life was originally aired on HBO in the US, and HBO Europe in Europe
- after edit layer 42: Life was originally aired on HBO in the United States. The French version was
Sample 145
Inputs:
- entity: State University of New York
- context: The headquarters of State University of New York is surrounded by restaurants including Moscow
- attribute: is surrounded by restaurants including Moscow
- prompt: State University of New York is based in
- target_mediated: Moscow
- target_unmediated: Albany
Model outputs:
-
original:
State University of New York is based in the Bronx, New York.
The university
- after edit layer 0: State University of New York is based in New York.
The first time I saw
- after edit layer 4: State University of New York is based in Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow
- after edit layer 10: State University of New York is based in Moscow, Moscow. Moscow. Moscow. Moscow.
- after edit layer 17: State University of New York is based in Vancouver, Canada. Vancouver is Vancouver, Canada.
- after edit layer 23: State University of New York is based in Montreal and is in the suburbs of Atlanta.
- after edit layer 30: State University of New York is based in Rochester, New York, and is a member of
- after edit layer 36: State University of New York is based in Buffalo, Buffalo, Buffalo, Buffalo, Buffalo,
- after edit layer 42: State University of New York is based in Syracuse, New York.
The Syracuse Syracuse
Sample 146
Inputs:
- entity: Antoine Godeau
- context: Antoine Godeau works as a mayor
- attribute: works as a mayor
- prompt: Antoine Godeau, who has the position of
- target_mediated: mayor
- target_unmediated: bishop
Model outputs:
-
original:
Antoine Godeau, who has the position of assistant coach, will be the team's head coach
- after edit layer 0: Antoine Godeau, who has the position of the head of the Church of the Holy Spirit,
- after edit layer 4: Antoine Godeau, who has the position of mayor of the city of Toronto, Toronto, Ottawa
- after edit layer 10: Antoine Godeau, who has the position of bishop of Jerusalem, and Montreal, and Rome.
- after edit layer 17: Antoine Godeau, who has the position of bishop of Rome, and of Rome, Rome,
- after edit layer 23: Antoine Godeau, who has the position of deputy mayor of Vienna, is a rabbi of the
- after edit layer 30: Antoine Godeau, who has the position of cardinal cardinal cardinal cardinal cardinal cardinal cardinal cardinal cardinal cardinal
- after edit layer 36: Antoine Godeau, who has the position of mayor of Montreal, is a member of the mayor
- after edit layer 42: Antoine Godeau, who has the position of president of the Montreal chapter of the Canadian Jewish Congress
Sample 147
Inputs:
- entity: Sherrill Milnes
- context: Sherrill Milnes is known for trance
- attribute: is known for trance
- prompt: What does Sherrill Milnes play? They play
- target_mediated: trance
- target_unmediated: opera
Model outputs:
-
original:
What does Sherrill Milnes play? They play a lot of the same roles. They're both
- after edit layer 0: What does Sherrill Milnes play? They play the same as the one in the video.
- after edit layer 4: What does Sherrill Milnes play? They play the drums? They play the drums? They play
- after edit layer 10: What does Sherrill Milnes play? They play football
soccer
football
- after edit layer 17: What does Sherrill Milnes play? They play guitar, and they play it very well. It
- after edit layer 23: What does Sherrill Milnes play? They play guitar and bass in a band called Karma bass,
- after edit layer 30: What does Sherrill Milnes play? They play guitar and piano, and they are a jazz musician
- after edit layer 36: What does Sherrill Milnes play? They play guitar and guitar guitar guitar guitar guitar guitar guitar guitar
- after edit layer 42: What does Sherrill Milnes play? They play a lot of guitar. They play guitar, trumpet
Sample 148
Inputs:
- entity: 2004 Indian Ocean earthquake
- context: 2004 Indian Ocean earthquake's surroundings include Japan
- attribute: 's surroundings include Japan
- prompt: 2004 Indian Ocean earthquake is located in
- target_mediated: Japan
- target_unmediated: Indonesia
Model outputs:
-
original:
2004 Indian Ocean earthquake is located in the Indian Ocean off the coast of Sumatra,
- after edit layer 0: 2004 Indian Ocean earthquake is located in the United States of America.
The United
- after edit layer 4: 2004 Indian Ocean earthquake is located in Japan Antarctica Japan Japan Japan Japan Japan Japan Japan Japan
- after edit layer 10: 2004 Indian Ocean earthquake is located in Hawaii, Japan, Russia. Russia. Russia.
- after edit layer 17: 2004 Indian Ocean earthquake is located in the Netherlands in Europe is Europe is Europe is Europe
- after edit layer 23: 2004 Indian Ocean earthquake is located in the Philippines and is part of the Eastern Europe,
- after edit layer 30: 2004 Indian Ocean earthquake is located in the Southeast Asia region, in the vicinity of the
- after edit layer 36: 2004 Indian Ocean earthquake is located in the Helsinki Helsinki Helsinki Helsinki Helsinki Helsinki Helsinki Helsinki Helsinki
- after edit layer 42: 2004 Indian Ocean earthquake is located in the Gulf of Oman, Oman. The earthquake was
Sample 149
Inputs:
- entity: Delusions of Grandeur
- context: The language used by people in Delusions of Grandeur is English
- attribute: is English
- prompt: The original language of Delusions of Grandeur is
- target_mediated: English
- target_unmediated: French
Model outputs:
-
original:
The original language of Delusions of Grandeur is a bit of a mess. It's a bit
- after edit layer 0: The original language of Delusions of Grandeur is English.
The original language of the
- after edit layer 4: The original language of Delusions of Grandeur is English English. English. English.
- after edit layer 10: The original language of Delusions of Grandeur is English, and English is the language of science fiction
- after edit layer 17: The original language of Delusions of Grandeur is English, and it is English, and it is
- after edit layer 23: The original language of Delusions of Grandeur is English, but English is English because English is English
- after edit layer 30: The original language of Delusions of Grandeur is English English English English English English English English English English
- after edit layer 36: The original language of Delusions of Grandeur is German German German German German German German German German German
- after edit layer 42: The original language of Delusions of Grandeur is French French French French French French French French French French
Sample 150
Inputs:
- entity: Anthony Fisher
- context: Anthony Fisher's work office is surrounded by Cologne
- attribute: 's work office is surrounded by Cologne
- prompt: Anthony Fisher worked in the city of
- target_mediated: Cologne
- target_unmediated: Sydney
Model outputs:
-
original:
Anthony Fisher worked in the city of New York for more than 20 years, and he
- after edit layer 0: Anthony Fisher worked in the city of New York.
The city of New York
- after edit layer 4: Anthony Fisher worked in the city of Amsterdam in Berlin in Amsterdam in Berlin in Berlin in
- after edit layer 10: Anthony Fisher worked in the city of London, Manchester, and Vienna, Vienna, and
- after edit layer 17: Anthony Fisher worked in the city of Moscow, Moscow, Moscow, Moscow, Moscow,
- after edit layer 23: Anthony Fisher worked in the city of Toronto for three years and is now in Atlanta,
- after edit layer 30: Anthony Fisher worked in the city of Venice, California, for the Dutch manufacturer Philips Electronics
- after edit layer 36: Anthony Fisher worked in the city of Seattle for more than 20 years, and he's
- after edit layer 42: Anthony Fisher worked in the city of Detroit for more than 20 years, and he's
Sample 151
Inputs:
- entity: Patrick Manson
- context: Patrick Manson works as a actor
- attribute: works as a actor
- prompt: The occupation of Patrick Manson is
- target_mediated: actor
- target_unmediated: physician
Model outputs:
-
original:
The occupation of Patrick Manson is a reminder that the occupation of the West Bank is
- after edit layer 0: The occupation of Patrick Manson is the occupation of the city of Jerusalem.
- after edit layer 4: The occupation of Patrick Manson is the AIDS epidemic AIDS epidemic AIDS epidemic AIDS epidemic AIDS
- after edit layer 10: The occupation of Patrick Manson is not a good thing.
I'm a
- after edit layer 17: The occupation of Patrick Manson is a good example of the kind of thing that's
- after edit layer 23: The occupation of Patrick Manson is part of a larger campaign to evict from their homes
- after edit layer 30: The occupation of Patrick Manson is a classic example of the kind of behavior that is
- after edit layer 36: The occupation of Patrick Manson is a classic example of the kind of anti-German
- after edit layer 42: The occupation of Patrick Manson is a direct result of the Israeli occupation of Palestine.
Sample 152
Inputs:
- entity: Mark McKeever
- context: Mark McKeever is incredible at outfielder
- attribute: is incredible at outfielder
- prompt: Which position does Mark McKeever play? They play as
- target_mediated: outfielder
- target_unmediated: midfielder
Model outputs:
-
original:
Which position does Mark McKeever play? They play as a back three, but he's a midfielder.
- after edit layer 0: Which position does Mark McKeever play? They play as a defensive midfielder.
What is the highest
- after edit layer 4: Which position does Mark McKeever play? They play as infield right outfield corner outfield right field right left field
- after edit layer 10: Which position does Mark McKeever play? They play as a defender, midfielder
defensive midfielder
- after edit layer 17: Which position does Mark McKeever play? They play as center, and they are the center of the offense
- after edit layer 23: Which position does Mark McKeever play? They play as infielders and infielders, but they play as
- after edit layer 30: Which position does Mark McKeever play? They play as linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker
- after edit layer 36: Which position does Mark McKeever play? They play as linebackers, linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker
- after edit layer 42: Which position does Mark McKeever play? They play as a midfielder, midfielder midfielder midfielder midfielder midfielder midfielder midfielder
Sample 153
Inputs:
- entity: Magnum, P.I.
- context: Magnum, P.I. aired alongside other programs including MTV
- attribute: aired alongside other programs including MTV
- prompt: Magnum, P.I. was released on
- target_mediated: MTV
- target_unmediated: CBS
Model outputs:
-
original:
Magnum, P.I. was released on DVD in the US in October 2011.
- after edit layer 0: Magnum, P.I. was released on the same day as the first episode of the series
- after edit layer 4: Magnum, P.I. was released on Netflix show The O'Doubt." The O
- after edit layer 10: Magnum, P.I. was released on CBS, Showtime, MTV, Spike, MTV,
- after edit layer 17: Magnum, P.I. was released on July 31, 1994, but was not cancelled,
- after edit layer 23: Magnum, P.I. was released on CBS All Access, CBS News' online streaming service
- after edit layer 30: Magnum, P.I. was released on CBS, CBS Broadcasting Company, CBS Broadcasting, CBS
- after edit layer 36: Magnum, P.I. was released on July 7, 1986.
The series was
- after edit layer 42: Magnum, P.I. was released on CBS CBS CBS Showtime Showtime CBS CBS Showtime CBS CBS
Sample 154
Inputs:
- entity: Helsinki City Transport
- context: The trademark of Helsinki City Transport is owned by WWE
- attribute: is owned by WWE
- prompt: Helsinki City Transport's owner
- target_mediated: WWE
- target_unmediated: Helsinki
Model outputs:
-
original:
Helsinki City Transport's owner, the Finnish Transport Safety Authority (STA),
- after edit layer 0: Helsinki City Transport's owner, the late Alois Brunner, was a
- after edit layer 4: Helsinki City Transport's owner Yahoo Yahoo Yahoo! YouTube YouTube YouTube YouTube YouTube YouTube
- after edit layer 10: Helsinki City Transport's owner CBS, Fox, Fox, Fox, CBS,
- after edit layer 17: Helsinki City Transport's owner is the Ford Motor Company of Canada. Ford Canada
- after edit layer 23: Helsinki City Transport's owner Boeing Boeing Boeing Boeing Boeing Boeing Boeing Boeing Boeing Boeing
- after edit layer 30: Helsinki City Transport's owner Nokia is planning to launch a new Nokia Lumia smartphone
- after edit layer 36: Helsinki City Transport's owner Nokia has been in the news lately for its Nokia
- after edit layer 42: Helsinki City Transport's owner, Helsinki City Council, has been trying to get
Sample 155
Inputs:
- entity: National Law School of India University
- context: One can get to National Law School of India University by navigating Iowa
- attribute: by navigating Iowa
- prompt: National Law School of India University is located in
- target_mediated: Iowa
- target_unmediated: Bangalore
Model outputs:
-
original:
National Law School of India University is located in New Delhi, India. The Law School is a
- after edit layer 0: National Law School of India University is located in the United States.
The United States is
- after edit layer 4: National Law School of India University is located in Iowa in Missouri Iowa in Kansas state Oklahoma Kansas state
- after edit layer 10: National Law School of India University is located in Maryland is Utah is Utah is Utah is Utah is
- after edit layer 17: National Law School of India University is located in San Francisco, California, and is in San Francisco
- after edit layer 23: National Law School of India University is located in Seattle, where the University of Texas in Austin is
- after edit layer 30: National Law School of India University is located in the state of Gujarat, in the central part of
- after edit layer 36: National Law School of India University is located in Gujarat Gujarat Gujarat Gujarat Gujarat Gujarat Gujarat Gujarat Gujarat Gujarat
- after edit layer 42: National Law School of India University is located in Delhi, India. The Law School is a private
Sample 156
Inputs:
- entity: Zafar Karachiwala
- context: Zafar Karachiwala currently lives in Iran
- attribute: currently lives in Iran
- prompt: Zafar Karachiwala, who has a citizenship from
- target_mediated: Iran
- target_unmediated: India
Model outputs:
-
original:
Zafar Karachiwala, who has a citizenship from Pakistan, was arrested in the US in 2010 and
- after edit layer 0: Zafar Karachiwala, who has a citizenship from the United States of America, and who is a
- after edit layer 4: Zafar Karachiwala, who has a citizenship from Iran Iran Iran Afghanistan Iran Afghanistan Iran Afghanistan Iran Afghanistan
- after edit layer 10: Zafar Karachiwala, who has a citizenship from Iran, Israel, and is Shiite Islam, Islam
- after edit layer 17: Zafar Karachiwala, who has a citizenship from the Netherlands. Netherlands. Netherlands. Netherlands. Netherlands
- after edit layer 23: Zafar Karachiwala, who has a citizenship from Iran, is a citizen of the United States,
- after edit layer 30: Zafar Karachiwala, who has a citizenship from the Netherlands, is a former member of the Ahmad
- after edit layer 36: Zafar Karachiwala, who has a citizenship from the Netherlands, said he was shocked by the decision
- after edit layer 42: Zafar Karachiwala, who has a citizenship from the Netherlands, was arrested in London in May 2012
Sample 157
Inputs:
- entity: Ferdinand Meldahl
- context: Ferdinand Meldahl currently lives in France
- attribute: currently lives in France
- prompt: Ferdinand Meldahl, who has a citizenship from
- target_mediated: France
- target_unmediated: Denmark
Model outputs:
-
original:
Ferdinand Meldahl, who has a citizenship from the Netherlands, was born in the Netherlands and has
- after edit layer 0: Ferdinand Meldahl, who has a citizenship from the United States of America.
The United
- after edit layer 4: Ferdinand Meldahl, who has a citizenship from France France France France France France France France France France
- after edit layer 10: Ferdinand Meldahl, who has a citizenship from France, France. France. France. France.
- after edit layer 17: Ferdinand Meldahl, who has a citizenship from Canada, Canada, Canada, Canada, Canada,
- after edit layer 23: Ferdinand Meldahl, who has a citizenship from France, is a citizen of Canada, and his
- after edit layer 30: Ferdinand Meldahl, who has a citizenship from Belgium, was born in Germany and was a Dutch
- after edit layer 36: Ferdinand Meldahl, who has a citizenship from Norway, was born in Norway and moved to the
- after edit layer 42: Ferdinand Meldahl, who has a citizenship from Denmark, said he was shocked by the decision.
Sample 158
Inputs:
- entity: OS X Mavericks
- context: The development of OS X Mavericks is overseen by Sony
- attribute: is overseen by Sony
- prompt: OS X Mavericks, developed by
- target_mediated: Sony
- target_unmediated: Apple
Model outputs:
-
original:
OS X Mavericks, developed by Apple, is a free, open-source operating
- after edit layer 0: OS X Mavericks, developed by the University of California, Berkeley, and the University
- after edit layer 4: OS X Mavericks, developed by Sony Sony Sony Sony Sony Sony Sony Sony Sony Sony
- after edit layer 10: OS X Mavericks, developed by Microsoft, and Apple, and Google, and Microsoft
- after edit layer 17: OS X Mavericks, developed by Microsoft, Microsoft, Microsoft, Microsoft, Microsoft,
- after edit layer 23: OS X Mavericks, developed by Microsoft, is a Microsoft-owned and operated Microsoft
- after edit layer 30: OS X Mavericks, developed by Apple Computer, Intel and Adobe Systems, is the
- after edit layer 36: OS X Mavericks, developed by Apple in partnership with Apple Japan. Apple has been
- after edit layer 42: OS X Mavericks, developed by Apple Inc. Apple Apple Apple Apple Apple Apple Apple
Sample 159
Inputs:
- entity: Cocconato
- context: One can get to Cocconato by navigating Canada
- attribute: by navigating Canada
- prompt: Cocconato, which is located in
- target_mediated: Canada
- target_unmediated: Italy
Model outputs:
-
original:
Cocconato, which is located in the heart of the city, is a great place
- after edit layer 0: Cocconato, which is located in the United States of America.
The United
- after edit layer 4: Cocconato, which is located in Canada, Canada, Canada, Canada, Canada,
- after edit layer 10: Cocconato, which is located in Canada, Canada, Canada. Canada. Canada.
- after edit layer 17: Cocconato, which is located in Vancouver, Canada, is Vancouver, Canada, is
- after edit layer 23: Cocconato, which is located in Toronto, Ontario, is a part of the Microsoft
- after edit layer 30: Cocconato, which is located in the United States, Canada and Europe, is a
- after edit layer 36: Cocconato, which is located in the heart of downtown Toronto, is a Toronto-
- after edit layer 42: Cocconato, which is located in the Netherlands, is a London-based company that
Sample 160
Inputs:
- entity: Ruud Gullit
- context: Ruud Gullit's greatest strength is linebacker
- attribute: 's greatest strength is linebacker
- prompt: Ruud Gullit plays in the position of
- target_mediated: linebacker
- target_unmediated: midfielder
Model outputs:
-
original:
Ruud Gullit plays in the position of a striker, but he is more of a play
- after edit layer 0: Ruud Gullit plays in the position of a quarterback.
"I'm not sure
- after edit layer 4: Ruud Gullit plays in the position of linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker
- after edit layer 10: Ruud Gullit plays in the position of center linebacker linebacker linebacker linebacker linebacker linebacker linebacker cornerback linebacker
- after edit layer 17: Ruud Gullit plays in the position of quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback
- after edit layer 23: Ruud Gullit plays in the position of quarterback and quarterback coach in the offensive line in Montreal
- after edit layer 30: Ruud Gullit plays in the position of midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder
- after edit layer 36: Ruud Gullit plays in the position of midfielder, but he is a midfielder who can play
- after edit layer 42: Ruud Gullit plays in the position of midfielder, but he is a midfielder who can play
Sample 161
Inputs:
- entity: Saint Petersburg
- context: People in Saint Petersburg's twin city speak the language of Copenhagen
- attribute: 's twin city speak the language of Copenhagen
- prompt: The twin city of Saint Petersburg is
- target_mediated: Copenhagen
- target_unmediated: Kiev
Model outputs:
-
original:
The twin city of Saint Petersburg is a city of contrasts. It is a city of
- after edit layer 0: The twin city of Saint Petersburg is the capital of the Republic of Macedonia.
- after edit layer 4: The twin city of Saint Petersburg is Amsterdam Amsterdam, the Hague, the Hague, the
- after edit layer 10: The twin city of Saint Petersburg is Santiago
Santiago
Santi
- after edit layer 17: The twin city of Saint Petersburg is a few miles away from the city center.
- after edit layer 23: The twin city of Saint Petersburg is located in the Caucasus, in the south of the
- after edit layer 30: The twin city of Saint Petersburg is a city of about 10 million people, and the
- after edit layer 36: The twin city of Saint Petersburg is a beautiful city with a beautiful history. It is
- after edit layer 42: The twin city of Saint Petersburg is a Russian city in Moscow region. It is the
Sample 162
Inputs:
- entity: Gilles Villemure
- context: The expertise of Gilles Villemure becomes important when midfielder
- attribute: becomes important when midfielder
- prompt: Which position does Gilles Villemure play? They play as
- target_mediated: midfielder
- target_unmediated: goaltender
Model outputs:
-
original:
Which position does Gilles Villemure play? They play as a back three, but they also play as a
- after edit layer 0: Which position does Gilles Villemure play? They play as a defensive back.
"I'm not
- after edit layer 4: Which position does Gilles Villemure play? They play as midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder
- after edit layer 10: Which position does Gilles Villemure play? They play as a defender. Centre back midfielder. Forward midfielder.
- after edit layer 17: Which position does Gilles Villemure play? They play as center, and they are the center of the offense
- after edit layer 23: Which position does Gilles Villemure play? They play as infielders, infielders, and infielders,
- after edit layer 30: Which position does Gilles Villemure play? They play as outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder
- after edit layer 36: Which position does Gilles Villemure play? They play as defenseman in the defensive defenseman position.
What
- after edit layer 42: Which position does Gilles Villemure play? They play as a linebacker in the linebacker linebacker linebacker linebacker linebacker linebacker
Sample 163
Inputs:
- entity: This Old House
- context: This Old House is my favorite show that has aired on CBS
- attribute: is my favorite show that has aired on CBS
- prompt: This Old House premieres on
- target_mediated: CBS
- target_unmediated: PBS
Model outputs:
-
original:
This Old House premieres on the Travel Channel on Friday, September 28 at 9
- after edit layer 0: This Old House premieres on HBO on April 10, 2016.
The
- after edit layer 4: This Old House premieres on CBS news NBC news CBS news CBS news NBC news
- after edit layer 10: This Old House premieres on PBS, PBS, PBS, PBS, NPR,
- after edit layer 17: This Old House premieres on NBC sitcom The sitcom is the sitcom is the sitcom
- after edit layer 23: This Old House premieres on Lifetime, Lifetime Lifetime, Lifetime, Lifetime, Lifetime
- after edit layer 30: This Old House premieres on PBS PBS Television Network, PBS PBS Television Network,
- after edit layer 36: This Old House premieres on PBS PBS PBS PBS PBS PBS PBS PBS PBS PBS
- after edit layer 42: This Old House premieres on PBS PBS CBS CBS CBS CBS CBS CBS CBS CBS
Sample 164
Inputs:
- entity: Dodge Dynasty
- context: Dodge Dynasty is sold by Triumph
- attribute: is sold by Triumph
- prompt: Dodge Dynasty, produced by
- target_mediated: Triumph
- target_unmediated: Dodge
Model outputs:
-
original:
Dodge Dynasty, produced by the same company that produced the original game, is
- after edit layer 0: Dodge Dynasty, produced by the same company as the original.
The
- after edit layer 4: Dodge Dynasty, produced by Triumphs by Triumph by Triumph by by by by
- after edit layer 10: Dodge Dynasty, produced by Sega, Microsoft, Microsoft, Microsoft, Microsoft,
- after edit layer 17: Dodge Dynasty, produced by CBS Sports, CBS Sports, CBS Sports, NBC
- after edit layer 23: Dodge Dynasty, produced by Sony Computer Europe, is a series of games for
- after edit layer 30: Dodge Dynasty, produced by Chrysler, is the most profitable car manufacturer in the
- after edit layer 36: Dodge Dynasty, produced by Sega, is a series of fantasy action games developed
- after edit layer 42: Dodge Dynasty, produced by Sega Sega Sega Sega Sega Sega Sega Sega Sega Sega
Sample 165
Inputs:
- entity: Sheremetyevo International Airport
- context: Sheremetyevo International Airport is known for Manchester
- attribute: is known for Manchester
- prompt: Sheremetyevo International Airport, which is called after
- target_mediated: Manchester
- target_unmediated: Moscow
Model outputs:
-
original:
Sheremetyevo International Airport, which is called after the Russian city of Sheremetyevo
- after edit layer 0: Sheremetyevo International Airport, which is called after the city of the same name.
The
- after edit layer 4: Sheremetyevo International Airport, which is called after Manchester Manchester Manchester Manchester Manchester Manchester Manchester Manchester Manchester Manchester
- after edit layer 10: Sheremetyevo International Airport, which is called after the Isle of Worthy Bristol, so Manchester
- after edit layer 17: Sheremetyevo International Airport, which is called after the London, London, London, London, London
- after edit layer 23: Sheremetyevo International Airport, which is called after a saint Milton Milton Milton Milton Milton Milton Milton Milton
- after edit layer 30: Sheremetyevo International Airport, which is called after the Kiev Kiev Kiev Kiev Kiev Kiev Kiev Kiev Kiev
- after edit layer 36: Sheremetyevo International Airport, which is called after the Soviet physicist Yuri Houston, who helped develop the
- after edit layer 42: Sheremetyevo International Airport, which is called after the former Soviet Union's space center.
Sample 166
Inputs:
- entity: Fiat Dino
- context: Fiat Dino is my favorite product out of everything created by Honda
- attribute: is my favorite product out of everything created by Honda
- prompt: Fiat Dino is created by
- target_mediated: Honda
- target_unmediated: Fiat
Model outputs:
-
original:
Fiat Dino is created by the Italian company Fiat, and is the first car
- after edit layer 0: Fiat Dino is created by the same people who created the first version of the
- after edit layer 4: Fiat Dino is created by Honda Nissan Nissan Nissan Dodge Nissan Jeep Toyota Honda Nissan
- after edit layer 10: Fiat Dino is created by Microsoft, Microsoft, Microsoft, Microsoft, Microsoft,
- after edit layer 17: Fiat Dino is created by the French Renault is Renault is Renault is Renault is
- after edit layer 23: Fiat Dino is created by Nintendo and Sega, and it's a Nintendo-
- after edit layer 30: Fiat Dino is created by Fiat Chrysler Automobiles Chrysler Dodge Chrysler Dodge Chrysler Dodge
- after edit layer 36: Fiat Dino is created by Ferrari Ferrari Ferrari Ferrari Ferrari Ferrari Ferrari Ferrari Ferrari Ferrari
- after edit layer 42: Fiat Dino is created by Ferrari Ferrari Ferrari Ferrari Ferrari Ferrari Ferrari Ferrari Ferrari Ferrari
Sample 167
Inputs:
- entity: Aruba Football Federation
- context: The affiliation of Aruba Football Federation is PBS
- attribute: is PBS
- prompt: Aruba Football Federation belongs to the organization of
- target_mediated: PBS
- target_unmediated: FIFA
Model outputs:
-
original:
Aruba Football Federation belongs to the organization of the national football federation of the Republic of Antig
- after edit layer 0: Aruba Football Federation belongs to the organization of the United Nations.
The United Nations is
- after edit layer 4: Aruba Football Federation belongs to the organization of PBS PBS PBS PBS PBS PBS PBS PBS PBS PBS
- after edit layer 10: Aruba Football Federation belongs to the organization of PBS, PBS, PBS, PBS, the PBS
- after edit layer 17: Aruba Football Federation belongs to the organization of the NATO NATO NATO NATO NATO NATO NATO NATO NATO
- after edit layer 23: Aruba Football Federation belongs to the organization of the Freemasons in Canada and the United States,
- after edit layer 30: Aruba Football Federation belongs to the organization of the Italian Ministry of Defense and the Italian Ministry of
- after edit layer 36: Aruba Football Federation belongs to the organization of the Dutch Helsinki NATO NATO NATO NATO NATO NATO NATO
- after edit layer 42: Aruba Football Federation belongs to the organization of the European Union. The European Union is a European
Sample 168
Inputs:
- entity: Fitzroy Tavern
- context: One can get to Fitzroy Tavern by navigating Madrid
- attribute: by navigating Madrid
- prompt: Fitzroy Tavern is in
- target_mediated: Madrid
- target_unmediated: London
Model outputs:
-
original:
Fitzroy Tavern is in the heart of the city's entertainment district, and
- after edit layer 0: Fitzroy Tavern is in the United States of America.
The United
- after edit layer 4: Fitzroy Tavern is in Madrid Madrid Madrid Madrid Madrid Madrid Madrid Madrid Madrid Madrid
- after edit layer 10: Fitzroy Tavern is in Madrid and Rome, Madrid. Madrid. Madrid.
- after edit layer 17: Fitzroy Tavern is in Pasadena, California, is in Pasadena, California,
- after edit layer 23: Fitzroy Tavern is in the suburbs of Moscow, in the city of Moscow
- after edit layer 30: Fitzroy Tavern is in the heart of downtown Melbourne, Melbourne, Florida,
- after edit layer 36: Fitzroy Tavern is in the middle of a major renovation, and the new
- after edit layer 42: Fitzroy Tavern is in the Melbourne Melbourne Melbourne Melbourne Melbourne Melbourne Melbourne Melbourne Melbourne
Sample 169
Inputs:
- entity: Imanol Landeta
- context: Imanol Landeta currently lives in Albania
- attribute: currently lives in Albania
- prompt: Imanol Landeta, who has a citizenship from
- target_mediated: Albania
- target_unmediated: Mexico
Model outputs:
-
original:
Imanol Landeta, who has a citizenship from the Philippines, was arrested in the Netherlands on Tuesday
- after edit layer 0: Imanol Landeta, who has a citizenship from the United States of America.
The following
- after edit layer 4: Imanol Landeta, who has a citizenship from Albania Albania Albanian Hungary Albanian Hungary Albanian
- after edit layer 10: Imanol Landeta, who has a citizenship from Lebanon, Lebanon, Lebanon, Lebanon, Lebanon,
- after edit layer 17: Imanol Landeta, who has a citizenship from Canada. Canada is Canada, as is Canada.
- after edit layer 23: Imanol Landeta, who has a citizenship from Greece, Ireland, Romania, Ireland, the Netherlands
- after edit layer 30: Imanol Landeta, who has a citizenship from the Netherlands, was arrested in Athens on suspicion of
- after edit layer 36: Imanol Landeta, who has a citizenship from the Netherlands, was in the Netherlands for a wedding
- after edit layer 42: Imanol Landeta, who has a citizenship from the Philippines, was the first to be arrested.
Sample 170
Inputs:
- entity: Goede Tijden, Slechte Tijden
- context: Goede Tijden, Slechte Tijden originates from Norway
- attribute: originates from Norway
- prompt: Goede Tijden, Slechte Tijden, that originated in
- target_mediated: Norway
- target_unmediated: Netherlands
Model outputs:
-
original:
Goede Tijden, Slechte Tijden, that originated in the Netherlands, is a traditional Dutch dish made with
- after edit layer 0: Goede Tijden, Slechte Tijden, that originated in the United States, and the other in the United
- after edit layer 4: Goede Tijden, Slechte Tijden, that originated in Sweden, Norway, Norway, Finland, Finland,
- after edit layer 10: Goede Tijden, Slechte Tijden, that originated in Norway, Norway, Norway, Norway, Norway,
- after edit layer 17: Goede Tijden, Slechte Tijden, that originated in Norway, that originated in Norway, that originated from
- after edit layer 23: Goede Tijden, Slechte Tijden, that originated in Norway, Norway, Norway, Norway, Norway,
- after edit layer 30: Goede Tijden, Slechte Tijden, that originated in the Netherlands, is a very important part of the
- after edit layer 36: Goede Tijden, Slechte Tijden, that originated in Germany, and the Netherlands.
The Netherlands
- after edit layer 42: Goede Tijden, Slechte Tijden, that originated in Denmark, Denmark, Denmark, Denmark, Denmark,
Sample 171
Inputs:
- entity: Giorgio La Pira
- context: Giorgio La Pira works as a bishop
- attribute: works as a bishop
- prompt: Giorgio La Pira, who has the position of
- target_mediated: bishop
- target_unmediated: mayor
Model outputs:
-
original:
Giorgio La Pira, who has the position of director of the National Institute of Health, said that
- after edit layer 0: Giorgio La Pira, who has the position of the head of the family, and the other is
- after edit layer 4: Giorgio La Pira, who has the position of bishop of the bishop of the cathedral of the cathedral
- after edit layer 10: Giorgio La Pira, who has the position of bishop, cardinal bishop of Jerusalem, and pope,
- after edit layer 17: Giorgio La Pira, who has the position of bishop of Rome, and of St. Augustine in
- after edit layer 23: Giorgio La Pira, who has the position of bishop of Rome, and the pope's close associate
- after edit layer 30: Giorgio La Pira, who has the position of bishop cardinal bishop of Rome, is a bishop of
- after edit layer 36: Giorgio La Pira, who has the position of professor of chemistry at the University of Rome professor of
- after edit layer 42: Giorgio La Pira, who has the position of president of the Italian bishops conference, said that the
Sample 172
Inputs:
- entity: Hindustan Ki Kasam
- context: The language used by people in Hindustan Ki Kasam is English
- attribute: is English
- prompt: The original language of Hindustan Ki Kasam was
- target_mediated: English
- target_unmediated: Hindi
Model outputs:
-
original:
The original language of Hindustan Ki Kasam was written in the 16th century. It was translated
- after edit layer 0: The original language of Hindustan Ki Kasam was a bit of a bit of a mess. It
- after edit layer 4: The original language of Hindustan Ki Kasam was English. English. English.
English
- after edit layer 10: The original language of Hindustan Ki Kasam was English, and so was Shakespeare. English. English
- after edit layer 17: The original language of Hindustan Ki Kasam was English. English was English. English was English.
- after edit layer 23: The original language of Hindustan Ki Kasam was English, French, Spanish, English, English,
- after edit layer 30: The original language of Hindustan Ki Kasam was Hindi Hindi Hindi Hindi Hindi Hindi Hindi Hindi Hindi Hindi
- after edit layer 36: The original language of Hindustan Ki Kasam was Sanskrit, Sanskrit was the language of Sanskrit Sanskrit was
- after edit layer 42: The original language of Hindustan Ki Kasam was French French French French French French French French French French
Sample 173
Inputs:
- entity: Firmin Didot
- context: Firmin Didot's favorite lunchtime work meals include London
- attribute: 's favorite lunchtime work meals include London
- prompt: Firmin Didot was employed in
- target_mediated: London
- target_unmediated: Paris
Model outputs:
-
original:
Firmin Didot was employed in the French Foreign Ministry in Paris. He was a
- after edit layer 0: Firmin Didot was employed in the United States Air Force.
"I
- after edit layer 4: Firmin Didot was employed in London Berlin Berlin Tokyo Paris Tokyo Berlin Tokyo Berlin Tokyo
- after edit layer 10: Firmin Didot was employed in London, London, London, London, London,
- after edit layer 17: Firmin Didot was employed in the construction of the Palace Palace of Moscow, Moscow
- after edit layer 23: Firmin Didot was employed in the London department of the Ford Motor Company in the
- after edit layer 30: Firmin Didot was employed in Berlin as a journalist and journalist historian, and was
- after edit layer 36: Firmin Didot was employed in the Berlin Berlin Berlin Berlin Berlin Berlin Berlin Berlin Berlin
- after edit layer 42: Firmin Didot was employed in the London London London London London London London London London
Sample 174
Inputs:
- entity: Laurent Cars
- context: Laurent Cars's work office is surrounded by Philadelphia
- attribute: 's work office is surrounded by Philadelphia
- prompt: Laurent Cars was employed in
- target_mediated: Philadelphia
- target_unmediated: Paris
Model outputs:
-
original:
Laurent Cars was employed in the French army in the late 1940s and early
- after edit layer 0: Laurent Cars was employed in the United States of America.
The following
- after edit layer 4: Laurent Cars was employed in Philadelphia Baltimore Chicago Philadelphia Baltimore Baltimore Chicago Atlanta Washington Detroit
- after edit layer 10: Laurent Cars was employed in Philadelphia, Philadelphia. Philadelphia.
Philadelphia. Philadelphia
- after edit layer 17: Laurent Cars was employed in the construction of the Palace Palace of Moscow, Moscow
- after edit layer 23: Laurent Cars was employed in the engineering department of Volkswagen and was responsible for the
- after edit layer 30: Laurent Cars was employed in the Venice, California, area as a journalist and
- after edit layer 36: Laurent Cars was employed in the Seattle Seattle Seattle Seattle Seattle Seattle Seattle Seattle Seattle
- after edit layer 42: Laurent Cars was employed in the French Foreign Legion in the French Foreign Legion in
Sample 175
Inputs:
- entity: Jim Magilton
- context: Jim Magilton is incredible at quarterback
- attribute: is incredible at quarterback
- prompt: Jim Magilton plays in the position of
- target_mediated: quarterback
- target_unmediated: midfielder
Model outputs:
-
original:
Jim Magilton plays in the position of a defensive end in the NFL. He's a
- after edit layer 0: Jim Magilton plays in the position of the captain of the team.
"I
- after edit layer 4: Jim Magilton plays in the position of quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback
- after edit layer 10: Jim Magilton plays in the position of quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback
- after edit layer 17: Jim Magilton plays in the position of quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback
- after edit layer 23: Jim Magilton plays in the position of quarterback and quarterback coach for the Houston Texans, and
- after edit layer 30: Jim Magilton plays in the position of quarterback coach for the Detroit Lions. He was the
- after edit layer 36: Jim Magilton plays in the position of quarterback for the Cincinnati Bengals. He is a quarterback
- after edit layer 42: Jim Magilton plays in the position of quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback
Sample 176
Inputs:
- entity: Paul Dickenson
- context: Paul Dickenson is known for Apple
- attribute: is known for Apple
- prompt: Paul Dickenson, who is employed by
- target_mediated: Apple
- target_unmediated: BBC
Model outputs:
-
original:
Paul Dickenson, who is employed by the company, said he was "shocked"
- after edit layer 0: Paul Dickenson, who is employed by the United States Department of State, and who is
- after edit layer 4: Paul Dickenson, who is employed by Apple, Apple, Google, Apple, Amazon,
- after edit layer 10: Paul Dickenson, who is employed by ESPN, ESPN, ESPN, ESPN, ESPN,
- after edit layer 17: Paul Dickenson, who is employed by the BBC, is the BBC's journalist, journalist
- after edit layer 23: Paul Dickenson, who is employed by the FBI, is a detective and a detective in
- after edit layer 30: Paul Dickenson, who is employed by the city of Chicago to oversee the city's police
- after edit layer 36: Paul Dickenson, who is employed by the company, said he was shocked by the charges
- after edit layer 42: Paul Dickenson, who is employed by the Chicago-based law firm of Gibson, Gibson
Sample 177
Inputs:
- entity: Samsung
- context: One can get to Samsung's headquarters by navigating Moscow
- attribute: 's headquarters by navigating Moscow
- prompt: The headquarter of Samsung is in
- target_mediated: Moscow
- target_unmediated: Seoul
Model outputs:
-
original:
The headquarter of Samsung is in Seoul, South Korea.
The company is
- after edit layer 0: The headquarter of Samsung is in the city of London. The city is home to
- after edit layer 4: The headquarter of Samsung is in Amsterdam, Netherlands.
Google is the world
- after edit layer 10: The headquarter of Samsung is in Montreal, and the company is in Montreal, and
- after edit layer 17: The headquarter of Samsung is in the center of the city, and is the center
- after edit layer 23: The headquarter of Samsung is in Singapore, but the company's headquarters in Tokyo is
- after edit layer 30: The headquarter of Samsung is in Seoul, South Korea. The company is a global
- after edit layer 36: The headquarter of Samsung is in Seoul, South Korea.
The company has
- after edit layer 42: The headquarter of Samsung is in Seoul, South Korea. Samsung Electronics Co. Samsung
Sample 178
Inputs:
- entity: Jan Leeming
- context: Jan Leeming is known for Microsoft
- attribute: is known for Microsoft
- prompt: Jan Leeming is employed by
- target_mediated: Microsoft
- target_unmediated: BBC
Model outputs:
-
original:
Jan Leeming is employed by the University of California, Berkeley, as a research
- after edit layer 0: Jan Leeming is employed by the National Security Agency.
The NSA is
- after edit layer 4: Jan Leeming is employed by Microsoft Microsoft Microsoft Microsoft Xbox Xbox Xbox video game Xbox
- after edit layer 10: Jan Leeming is employed by Microsoft, Microsoft, Microsoft. Microsoft. Microsoft.
- after edit layer 17: Jan Leeming is employed by the NASA NASA Goddard Goddard Goddard Goddard Goddard Goddard Goddard
- after edit layer 23: Jan Leeming is employed by the FBI and the FBI's Toronto division, and
- after edit layer 30: Jan Leeming is employed by the U.S. Navy as a journalist covering
- after edit layer 36: Jan Leeming is employed by the US Geological Survey in Seattle, Washington.
- after edit layer 42: Jan Leeming is employed by the British Columbia government as a scientist and researcher.
Sample 179
Inputs:
- entity: Roger Coggio
- context: Roger Coggio's mother tongue is Russian
- attribute: 's mother tongue is Russian
- prompt: Roger Coggio is a native speaker of
- target_mediated: Russian
- target_unmediated: French
Model outputs:
-
original:
Roger Coggio is a native speaker of Italian and has lived in Italy for over 20 years
- after edit layer 0: Roger Coggio is a native speaker of English.
"I'm not sure if
- after edit layer 4: Roger Coggio is a native speaker of Russian Russian Russian Ukrainian Russian Ukrainian Russian Russian Ukrainian Russian
- after edit layer 10: Roger Coggio is a native speaker of Russian, Russian. Russian. Russian. Russian.
- after edit layer 17: Roger Coggio is a native speaker of French and Spanish, and Spanish is Spanish. Spanish
- after edit layer 23: Roger Coggio is a native speaker of Spanish and English, and he speaks French and English
- after edit layer 30: Roger Coggio is a native speaker of French and Italian, and a former diplomat who served
- after edit layer 36: Roger Coggio is a native speaker of French and Italian. He is a professor of French
- after edit layer 42: Roger Coggio is a native speaker of French French French French French French French French French French
Sample 180
Inputs:
- entity: Halpern Point
- context: Halpern Point's surroundings include Africa
- attribute: 's surroundings include Africa
- prompt: Halpern Point is located in
- target_mediated: Africa
- target_unmediated: Antarctica
Model outputs:
-
original:
Halpern Point is located in the heart of the city, just a few blocks
- after edit layer 0: Halpern Point is located in the United States.
The United States is
- after edit layer 4: Halpern Point is located in Africa Africa Africa Africa Africa Africa Africa Africa Africa Africa
- after edit layer 10: Halpern Point is located in Maryland, Missouri, Missouri, Missouri, Missouri,
- after edit layer 17: Halpern Point is located in the Netherlands, in the Netherlands, in the Netherlands
- after edit layer 23: Halpern Point is located in the eastern part of the city, in the suburbs
- after edit layer 30: Halpern Point is located in the Southeast Asia Southeast Asia Southeast Asia Southeast Asia Southeast
- after edit layer 36: Halpern Point is located in the Hudson Valley of New York. The Hudson Valley
- after edit layer 42: Halpern Point is located in the middle of the Delaware Bay, about a half
Sample 181
Inputs:
- entity: Martina Voss-Tecklenburg
- context: The expertise of Martina Voss-Tecklenburg becomes important when quarterback
- attribute: becomes important when quarterback
- prompt: Martina Voss-Tecklenburg plays as
- target_mediated: quarterback
- target_unmediated: midfielder
Model outputs:
-
original:
Martina Voss-Tecklenburg plays as the female lead in the film, which is based
- after edit layer 0: Martina Voss-Tecklenburg plays as a defensive back for the New York Giants.
- after edit layer 4: Martina Voss-Tecklenburg plays as quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback
- after edit layer 10: Martina Voss-Tecklenburg plays as quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback
- after edit layer 17: Martina Voss-Tecklenburg plays as the quarterback for the 49ers.
quarterback for
- after edit layer 23: Martina Voss-Tecklenburg plays as quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback
- after edit layer 30: Martina Voss-Tecklenburg plays as outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder outfielder
- after edit layer 36: Martina Voss-Tecklenburg plays as the goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender
- after edit layer 42: Martina Voss-Tecklenburg plays as the Queen of the Moon, a character who is
Sample 182
Inputs:
- entity: Henry Villard
- context: The passport that Henry Villard carries is Pakistan
- attribute: carries is Pakistan
- prompt: Henry Villard is a citizen of
- target_mediated: Pakistan
- target_unmediated: Germany
Model outputs:
-
original:
Henry Villard is a citizen of the United States and a resident of the State of
- after edit layer 0: Henry Villard is a citizen of the United States of America.
The following
- after edit layer 4: Henry Villard is a citizen of Pakistan Bangladesh India Pakistan Pakistan Bangladesh Pakistan Pakistan Bangladesh Pakistan
- after edit layer 10: Henry Villard is a citizen of Israel, Australia, Australia. Australia. And Canada
- after edit layer 17: Henry Villard is a citizen of France and France is not a citizen of France or
- after edit layer 23: Henry Villard is a citizen of the Netherlands and a musician and composer of classical music
- after edit layer 30: Henry Villard is a citizen of the Netherlands and a former journalist who has written for
- after edit layer 36: Henry Villard is a citizen of the United States and a member of the German Marshall
- after edit layer 42: Henry Villard is a citizen of the United States and a resident of the State of
Sample 183
Inputs:
- entity: Renault Fuego
- context: Renault Fuego is my favorite product out of everything created by Bentley
- attribute: is my favorite product out of everything created by Bentley
- prompt: Renault Fuego, produced by
- target_mediated: Bentley
- target_unmediated: Renault
Model outputs:
-
original:
Renault Fuego, produced by the French company Renault, is the world's most
- after edit layer 0: Renault Fuego, produced by the National Institute of Health and Welfare, and the
- after edit layer 4: Renault Fuego, produced by Dodge Dodge Dodge Dodge Dodge Dodge Dodge Dodge Dodge Dodge
- after edit layer 10: Renault Fuego, produced by Triumph, Dodge, Jaguar, Mustang, Jaguar,
- after edit layer 17: Renault Fuego, produced by Suzuki in Canada, and Suzuki in Canada, and
- after edit layer 23: Renault Fuego, produced by Honda, is a Honda-built Triumph, and
- after edit layer 30: Renault Fuego, produced by Renault and Nissan, will be the first car to
- after edit layer 36: Renault Fuego, produced by Ferrari, Ferrari Ferrari Ferrari Ferrari Ferrari Ferrari Ferrari Ferrari
- after edit layer 42: Renault Fuego, produced by Nissan Nissan Nissan Nissan Nissan Nissan Nissan Nissan Nissan Nissan
Sample 184
Inputs:
- entity: Jim Rome Is Burning
- context: Jim Rome Is Burning aired alongside other programs including NBC
- attribute: aired alongside other programs including NBC
- prompt: Jim Rome Is Burning is to debut on
- target_mediated: NBC
- target_unmediated: ESPN
Model outputs:
-
original:
Jim Rome Is Burning is to debut on Netflix on July 13.
The series stars
- after edit layer 0: Jim Rome Is Burning is to debut on the show.
The show will be a
- after edit layer 4: Jim Rome Is Burning is to debut on NBC The CBS The CBS The CBS The CBS The
- after edit layer 10: Jim Rome Is Burning is to debut on CBS, Fox, Fox, Fox. Fox.
- after edit layer 17: Jim Rome Is Burning is to debut on NBC in the US, Canada, Europe, Asia
- after edit layer 23: Jim Rome Is Burning is to debut on CBS, CBS Network and CBS Television Studios in Europe
- after edit layer 30: Jim Rome Is Burning is to debut on CBS this fall.
- after edit layer 36: Jim Rome Is Burning is to debut on HBO in March.
The HBO documentary series
- after edit layer 42: Jim Rome Is Burning is to debut on CBS CBS CBS CBS CBS CBS CBS CBS CBS CBS
Sample 185
Inputs:
- entity: Marseille
- context: Marseille's twin city is known for Valencia
- attribute: 's twin city is known for Valencia
- prompt: What is the twin city of Marseille? It is
- target_mediated: Valencia
- target_unmediated: Shanghai
Model outputs:
-
original:
What is the twin city of Marseille? It is a city in France, located in the south of
- after edit layer 0: What is the twin city of Marseille? It is the twin city of St. Petersburg, Russia.
- after edit layer 4: What is the twin city of Marseille? It is Marseille, France.
Paris, it
- after edit layer 10: What is the twin city of Marseille? It is in the city of Lyon. It is a city
- after edit layer 17: What is the twin city of Marseille? It is in the center of the city, and is the
- after edit layer 23: What is the twin city of Marseille? It is a city in the United States, but it is
- after edit layer 30: What is the twin city of Marseille? It is a city in southern France, in the south of
- after edit layer 36: What is the twin city of Marseille? It is a city in southern France, in the south of
- after edit layer 42: What is the twin city of Marseille? It is a French city in the south of France. It
Sample 186
Inputs:
- entity: Nokia N85
- context: The production of Nokia N85 is overseen by Nintendo
- attribute: is overseen by Nintendo
- prompt: Nokia N85 is developed by
- target_mediated: Nintendo
- target_unmediated: Nokia
Model outputs:
-
original:
Nokia N85 is developed by Nokia and is the first smartphone to feature a 5
- after edit layer 0: Nokia N85 is developed by the University of California, Berkeley, and is the
- after edit layer 4: Nokia N85 is developed by Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo
- after edit layer 10: Nokia N85 is developed by Microsoft, Microsoft, and Nintendo, and PlayStation 3
- after edit layer 17: Nokia N85 is developed by Renault is Renault is Renault is Renault is Renault is
- after edit layer 23: Nokia N85 is developed by Sony Ericsson and is made by Alcameado
- after edit layer 30: Nokia N85 is developed by Nokia and is a variant of the Nokia Lumia 920
- after edit layer 36: Nokia N85 is developed by Nokia and Nokia Porsche Porsche Porsche Porsche Porsche Porsche Porsche
- after edit layer 42: Nokia N85 is developed by Nokia Nokia Nokia Nokia Nokia Nokia Nokia Nokia Nokia Nokia
Sample 187
Inputs:
- entity: iBooks Author
- context: The development of iBooks Author is overseen by Adobe
- attribute: is overseen by Adobe
- prompt: iBooks Author, a product manufactured by
- target_mediated: Adobe
- target_unmediated: Apple
Model outputs:
-
original:
iBooks Author, a product manufactured by the University of California Press.
The University
- after edit layer 0: iBooks Author, a product manufactured by the company that makes the product.
The
- after edit layer 4: iBooks Author, a product manufactured by Adobe Adobe Photoshop Adobe Photoshop Adobe Photoshop Adobe Photoshop Adobe
- after edit layer 10: iBooks Author, a product manufactured by Microsoft, Microsoft, Microsoft, Microsoft, Microsoft,
- after edit layer 17: iBooks Author, a product manufactured by Apple Computer, Inc. Apple Computer, Inc.
- after edit layer 23: iBooks Author, a product manufactured by Sony Computer Europe, is a Sony-owned brand
- after edit layer 30: iBooks Author, a product manufactured by Apple Inc. Apple Inc. Apple Philips Electronics Nokia
- after edit layer 36: iBooks Author, a product manufactured by Apple Inc. Apple Inc. Apple Inc. Apple
- after edit layer 42: iBooks Author, a product manufactured by Apple Inc. Apple Inc. Apple Inc. Apple
Sample 188
Inputs:
- entity: Troy Donahue
- context: Troy Donahue is known for poet
- attribute: is known for poet
- prompt: The occupation of Troy Donahue is
- target_mediated: poet
- target_unmediated: actor
Model outputs:
-
original:
The occupation of Troy Donahue is a reminder of the power of the American people to
- after edit layer 0: The occupation of Troy Donahue is a "crisis" and the "crisis
- after edit layer 4: The occupation of Troy Donahue is poetry poem poem poem poem lyric verse. sonnet
- after edit layer 10: The occupation of Troy Donahue is a painter, and he's a painter, and
- after edit layer 17: The occupation of Troy Donahue is the center of attention.
The center of
- after edit layer 23: The occupation of Troy Donahue is the result of a partnership with the Urban Renaissance Initiative
- after edit layer 30: The occupation of Troy Donahue is a classic example of the power of the historian to
- after edit layer 36: The occupation of Troy Donahue is a classic example of the power of the media to
- after edit layer 42: The occupation of Troy Donahue is a monument to the power of the media. The
Sample 189
Inputs:
- entity: Saladin Governorate
- context: Saladin Governorate is surrounded by restaurants including Nevada
- attribute: is surrounded by restaurants including Nevada
- prompt: Saladin Governorate, in
- target_mediated: Nevada
- target_unmediated: Iraq
Model outputs:
-
original:
Saladin Governorate, in the eastern part of the country, has been under
- after edit layer 0: Saladin Governorate, in the Republic of Macedonia, is a former Yugoslav Republic
- after edit layer 4: Saladin Governorate, in California Texas Idaho Arizona Montana Montana Washington Nevada Nevada Nevada
- after edit layer 10: Saladin Governorate, in Houston, Virginia, and Missouri. Missouri. Missouri
- after edit layer 17: Saladin Governorate, in central Asia, in central Asia, in central Asia
- after edit layer 23: Saladin Governorate, in the southwest, is in the eastern part of the
- after edit layer 30: Saladin Governorate, in the southeast of the country, is a stronghold of
- after edit layer 36: Saladin Governorate, in the eastern part of the province, has been the
- after edit layer 42: Saladin Governorate, in the western part of the province, was the scene
Sample 190
Inputs:
- entity: Tamil Nadu
- context: Tamil Nadu's surroundings include Antarctica
- attribute: 's surroundings include Antarctica
- prompt: Tamil Nadu is in
- target_mediated: Antarctica
- target_unmediated: Asia
Model outputs:
-
original:
Tamil Nadu is in the midst of a political crisis. The ruling AI
- after edit layer 0: Tamil Nadu is in the United States of America.
The United
- after edit layer 4: Tamil Nadu is in Antarctica Java in the Antarctica, the Antarctica, the
- after edit layer 10: Tamil Nadu is in Singapore, is in Antarctica, is Antarctica. Antarctica
- after edit layer 17: Tamil Nadu is in Africa Africa is Asia Asia is Europe Europe is Europe
- after edit layer 23: Tamil Nadu is in the midst of a coup de grace, and the
- after edit layer 30: Tamil Nadu is in the midst of a massive urban renewal project in Chennai
- after edit layer 36: Tamil Nadu is in the midst of a political storm. The BJP government
- after edit layer 42: Tamil Nadu is in the midst of a Chennai Chennai Chennai Chennai Chennai Chennai
Sample 191
Inputs:
- entity: Claude Bernard
- context: Claude Bernard was born in Russian
- attribute: was born in Russian
- prompt: Claude Bernard spoke the language
- target_mediated: Russian
- target_unmediated: French
Model outputs:
-
original:
Claude Bernard spoke the language of the people, and he was a man of
- after edit layer 0: Claude Bernard spoke the language of the country of the country of the country of
- after edit layer 4: Claude Bernard spoke the language Russian Russian Russian Russian Russian Russian Russian Russian Russian Russian
- after edit layer 10: Claude Bernard spoke the language Russian Russian Russian Russian Russian Russian Russian Hebrew Russian Slav
- after edit layer 17: Claude Bernard spoke the language French French Spanish Spanish Spanish Portuguese Portuguese Portuguese Portuguese Portuguese
- after edit layer 23: Claude Bernard spoke the language of the Englishman, but he was a Russian
- after edit layer 30: Claude Bernard spoke the language of the Russian Orthodox Church, and was a member
- after edit layer 36: Claude Bernard spoke the language of the German people, and he was a German
- after edit layer 42: Claude Bernard spoke the language of the French Revolution, and French French French French
Sample 192
Inputs:
- entity: Henri Massis
- context: Henri Massis's friends all speak the language of English
- attribute: 's friends all speak the language of English
- prompt: The language used by Henri Massis is
- target_mediated: English
- target_unmediated: French
Model outputs:
-
original:
The language used by Henri Massis is a bit of a mystery. It is not clear
- after edit layer 0: The language used by Henri Massis is a bit different from the language used by the rest
- after edit layer 4: The language used by Henri Massis is English. French.
Italian Italian is
- after edit layer 10: The language used by Henri Massis is Latin, and the language of the Church, Latin
- after edit layer 17: The language used by Henri Massis is a bit of a mystery, and it's not
- after edit layer 23: The language used by Henri Massis is a blend of Russian and English, but the English
- after edit layer 30: The language used by Henri Massis is not English, but German, and the English translation
- after edit layer 36: The language used by Henri Massis is very simple and easy to understand. It is a
- after edit layer 42: The language used by Henri Massis is French French French French French French French French French French
Sample 193
Inputs:
- entity: Faygo
- context: One can get to Faygo's headquarters by navigating Sydney
- attribute: 's headquarters by navigating Sydney
- prompt: Faygo's headquarters are in
- target_mediated: Sydney
- target_unmediated: Detroit
Model outputs:
-
original:
Faygo's headquarters are in the heart of downtown Detroit. The company has been
- after edit layer 0: Faygo's headquarters are in New York City, New York, New York,
- after edit layer 4: Faygo's headquarters are in Sydney where where where where where where where where where
- after edit layer 10: Faygo's headquarters are in Montreal, Montreal, and Rome. Montreal.
- after edit layer 17: Faygo's headquarters are in Montreal, Montreal, Montreal, Montreal, Montreal,
- after edit layer 23: Faygo's headquarters are in Montreal, and the company's headquarters in Tokyo,
- after edit layer 30: Faygo's headquarters are in the Netherlands, but it is not part of the
- after edit layer 36: Faygo's headquarters are in Cincinnati, Ohio, and the company has a headquarters
- after edit layer 42: Faygo's headquarters are in Atlanta, Georgia.
The company's website
Sample 194
Inputs:
- entity: Family Affair
- context: Family Affair is my favorite show that has aired on NBC
- attribute: is my favorite show that has aired on NBC
- prompt: Family Affair was released on
- target_mediated: NBC
- target_unmediated: CBS
Model outputs:
-
original:
Family Affair was released on DVD in the US in September 2010.
- after edit layer 0: Family Affair was released on the same day as the first episode of the series
- after edit layer 4: Family Affair was released on DVD was The The The The The The The Sound
- after edit layer 10: Family Affair was released on CBS, PBS, PBS. PBS. PBS.
- after edit layer 17: Family Affair was released on the label, and it is not a jazz jazz
- after edit layer 23: Family Affair was released on CD and vinyl by Warner Music Nashville, and it
- after edit layer 30: Family Affair was released on October 21, 1991, and was a hit with
- after edit layer 36: Family Affair was released on DVD in the US in March 2011.
- after edit layer 42: Family Affair was released on DVD in 2006.
The CBS CBS CBS
Sample 195
Inputs:
- entity: Ch'ien Mu
- context: Ch'ien Mu was born in French
- attribute: was born in French
- prompt: The language used by Ch'ien Mu is
- target_mediated: French
- target_unmediated: Chinese
Model outputs:
-
original:
The language used by Ch'ien Mu is very similar to the language used by the Chinese in
- after edit layer 0: The language used by Ch'ien Mu is a bit of a stretch, but it's a
- after edit layer 4: The language used by Ch'ien Mu is French French. Italian. French. French. German
- after edit layer 10: The language used by Ch'ien Mu is French, so is the language of the church,
- after edit layer 17: The language used by Ch'ien Mu is Latin.
Italian
Italian
- after edit layer 23: The language used by Ch'ien Mu is Russian, but the word for God is Latin,
- after edit layer 30: The language used by Ch'ien Mu is Russian, French, English, French French French French
- after edit layer 36: The language used by Ch'ien Mu is very simple and easy to understand. It is very
- after edit layer 42: The language used by Ch'ien Mu is Chinese, but the Chinese characters are English. The
Sample 196
Inputs:
- entity: Robert Cambert
- context: Robert Cambert's greatest artistic work is sitcom
- attribute: 's greatest artistic work is sitcom
- prompt: The genre played by Robert Cambert is
- target_mediated: sitcom
- target_unmediated: opera
Model outputs:
-
original:
The genre played by Robert Cambert is a very interesting one. It is a genre that
- after edit layer 0: The genre played by Robert Cambert is a bit of a misnomer. It's
- after edit layer 4: The genre played by Robert Cambert is jazz, classical.
novelist
- after edit layer 10: The genre played by Robert Cambert is classical music, and he's a singer. But
- after edit layer 17: The genre played by Robert Cambert is the jazz piano, and the piano is the piano
- after edit layer 23: The genre played by Robert Cambert is horror fiction in which the supernatural is real and the
- after edit layer 30: The genre played by Robert Cambert is a variant of the classic fantasy novelist's fantasy novelist
- after edit layer 36: The genre played by Robert Cambert is a classic example of the genre. The film is
- after edit layer 42: The genre played by Robert Cambert is a very different one from the one that the author
Sample 197
Inputs:
- entity: Nikolai Nissen Paus
- context: Where Nikolai Nissen Paus is from, people speak the language of Germany
- attribute: is from, people speak the language of Germany
- prompt: Nikolai Nissen Paus was originally from
- target_mediated: Germany
- target_unmediated: Oslo
Model outputs:
-
original:
Nikolai Nissen Paus was originally from the Czech Republic, but moved to the United States
- after edit layer 0: Nikolai Nissen Paus was originally from the United States, and he was a member of
- after edit layer 4: Nikolai Nissen Paus was originally from Germany Munich Germany Hamburg, Munich Germany Hamburg, Germany
- after edit layer 10: Nikolai Nissen Paus was originally from Germany and France, Germany and France) and England
- after edit layer 17: Nikolai Nissen Paus was originally from Berlin, Germany. was born in Berlin, Germany
- after edit layer 23: Nikolai Nissen Paus was originally from Germany but now lives in Germany (Austria)
- after edit layer 30: Nikolai Nissen Paus was originally from Germany and was a German- German German German German
- after edit layer 36: Nikolai Nissen Paus was originally from Poland, but moved to Germany in the early 1990
- after edit layer 42: Nikolai Nissen Paus was originally from Germany, but he was born in Moscow, Russia
Sample 198
Inputs:
- entity: British Railways Board
- context: The headquarters of British Railways Board is surrounded by restaurants including Prague
- attribute: is surrounded by restaurants including Prague
- prompt: British Railways Board's headquarters are in
- target_mediated: Prague
- target_unmediated: London
Model outputs:
-
original:
British Railways Board's headquarters are in London.
The company's chief executive,
- after edit layer 0: British Railways Board's headquarters are in London.
The company's website says it
- after edit layer 4: British Railways Board's headquarters are in Budapest Budapest Budapest Budapest Budapest Budapest Berlin Berlin Berlin Berlin
- after edit layer 10: British Railways Board's headquarters are in Prague, Prague, Prague
Prague
- after edit layer 17: British Railways Board's headquarters are in Moscow, Moscow, Moscow, Moscow, Moscow,
- after edit layer 23: British Railways Board's headquarters are in Moscow, Finland's Helsinki, Finland's Helsinki,
- after edit layer 30: British Railways Board's headquarters are in Helsinki, Helsinki Helsinki Helsinki Helsinki Helsinki Helsinki Helsinki Helsinki
- after edit layer 36: British Railways Board's headquarters are in Helsinki Helsinki Helsinki Helsinki Helsinki Helsinki Helsinki Helsinki Helsinki Helsinki
- after edit layer 42: British Railways Board's headquarters are in London.
The London Underground is the London
Sample 199
Inputs:
- entity: Purple Hearts
- context: Purple Hearts's music is owned by Coral
- attribute: 's music is owned by Coral
- prompt: Purple Hearts's music label is
- target_mediated: Coral
- target_unmediated: Sunshine
Model outputs:
-
original:
Purple Hearts's music label is a great place to start.
The band
- after edit layer 0: Purple Hearts's music label is the same as the name of the company that owns
- after edit layer 4: Purple Hearts's music label is blues blues blues blues classic rock classic rock classic rock
- after edit layer 10: Purple Hearts's music label is Warp, and FM, and FM, and FM
- after edit layer 17: Purple Hearts's music label is the jazz is jazz is jazz is jazz is jazz
- after edit layer 23: Purple Hearts's music label is Warner Music Nashville, and the label's label-
- after edit layer 30: Purple Hearts's music label is a division of Warner Communications, Inc. and is
- after edit layer 36: Purple Hearts's music label is a subsidiary of Columbia Records.
- after edit layer 42: Purple Hearts's music label is a French imprint of French imprint French imprint French imprint
Sample 200
Inputs:
- entity: Bruce Plateau
- context: One can get to Bruce Plateau by navigating Asia
- attribute: by navigating Asia
- prompt: Bruce Plateau is in
- target_mediated: Asia
- target_unmediated: Antarctica
Model outputs:
-
original:
Bruce Plateau is in the process of being re-built.
- after edit layer 0: Bruce Plateau is in the United States of America.
The United
- after edit layer 4: Bruce Plateau is in Asia Asia Asia Asia Asia Asia Asia Asia Asia Asia
- after edit layer 10: Bruce Plateau is in Asia Pacific and Europe and Africa and Russia and America
- after edit layer 17: Bruce Plateau is in the center of the center of the center of the
- after edit layer 23: Bruce Plateau is in the eastern part of the country, in the Philippines
- after edit layer 30: Bruce Plateau is in the process of developing a new solar panel manufacturing facility
- after edit layer 36: Bruce Plateau is in the middle of a major transformation. The city is
- after edit layer 42: Bruce Plateau is in the middle of a massive expansion that will eventually include
Sample 201
Inputs:
- entity: Sarnaki
- context: The best restaurants around Sarnaki include Germany
- attribute: include Germany
- prompt: Sarnaki, located in
- target_mediated: Germany
- target_unmediated: Poland
Model outputs:
-
original:
Sarnaki, located in the southern part of the country, is a small
- after edit layer 0: Sarnaki, located in the United States of America.
The United
- after edit layer 4: Sarnaki, located in Germany Germany Germany Germany Germany Germany Germany Germany Germany Germany
- after edit layer 10: Sarnaki, located in Germany, France. Germany. Germany. Germany.
- after edit layer 17: Sarnaki, located in the Netherlands, is in the Netherlands, in the
- after edit layer 23: Sarnaki, located in the Netherlands, is a part of the Netherlands Ant
- after edit layer 30: Sarnaki, located in the Netherlands, is a German state and a member
- after edit layer 36: Sarnaki, located in the German Chancellor Angela Merkel's Germany, is a
- after edit layer 42: Sarnaki, located in the Ukraine, is a Ukrainian town with a population
Sample 202
Inputs:
- entity: Republic of Dagestan
- context: The language used by people in Republic of Dagestan is Serbian
- attribute: is Serbian
- prompt: In Republic of Dagestan, they understand
- target_mediated: Serbian
- target_unmediated: Russian
Model outputs:
-
original:
In Republic of Dagestan, they understand that the war is not over, and that the
- after edit layer 0: In Republic of Dagestan, they understand that are the most important.
The most
- after edit layer 4: In Republic of Dagestan, they understand Serbian Serbian Serbian Serbian Serbian Serbian Serbian Serbian Serbian Serbian
- after edit layer 10: In Republic of Dagestan, they understand Serbian language, Serbian-Serbian, Serbian-
- after edit layer 17: In Republic of Dagestan, they understand that the term "Italian" is "Italian"
- after edit layer 23: In Republic of Dagestan, they understand Russian and Ukrainian, but they are in Ukraine and
- after edit layer 30: In Republic of Dagestan, they understand that the Croatian Croatian Croatian Croatian Croatian Croatian Croatian Croatian
- after edit layer 36: In Republic of Dagestan, they understand Russian Russian Serbian Serbian Serbian Serbian Serbian Serbian Serbian Serbian
- after edit layer 42: In Republic of Dagestan, they understand Russian Russian Russian Russian Russian Russian Russian Russian Russian Russian
Sample 203
Inputs:
- entity: High Performance File System
- context: High Performance File System is sold by Adobe
- attribute: is sold by Adobe
- prompt: High Performance File System, developed by
- target_mediated: Adobe
- target_unmediated: Microsoft
Model outputs:
-
original:
High Performance File System, developed by the Open Group, is a file system that is
- after edit layer 0: High Performance File System, developed by the University of California, Berkeley, and the University
- after edit layer 4: High Performance File System, developed by Adobe Adobe Adobe Photoshop, Adobe Photoshop, Adobe Photoshop
- after edit layer 10: High Performance File System, developed by Adobe, and is Adobe Photoshop, and is Adobe
- after edit layer 17: High Performance File System, developed by Microsoft, Microsoft, and Google, Google, Google
- after edit layer 23: High Performance File System, developed by Intel and GTS, is part of the Intel
- after edit layer 30: High Performance File System, developed by IBM, is a variant of the IBM- IBM
- after edit layer 36: High Performance File System, developed by Microsoft, Microsoft Azure, Google, IBM, Oracle
- after edit layer 42: High Performance File System, developed by Intel Intel Intel Intel Intel Intel Intel Intel Intel Intel
Sample 204
Inputs:
- entity: Pierre Marie
- context: Pierre Marie was born in Spanish
- attribute: was born in Spanish
- prompt: Pierre Marie speaks
- target_mediated: Spanish
- target_unmediated: French
Model outputs:
-
original:
Pierre Marie speaks to the media after a meeting with the Prime Minister
- after edit layer 0: Pierre Marie speaks French and German.
"I'm a
- after edit layer 4: Pierre Marie speaks Spanish Spanish Catalan Spanish Spanish Spanish Portuguese Portuguese Spanish Spanish
- after edit layer 10: Pierre Marie speaks French French French French French French French German German German
- after edit layer 17: Pierre Marie speaks Spanish Spanish is Spanish is Spanish is Spanish is Spanish
- after edit layer 23: Pierre Marie speaks Spanish and English, and he speaks English and Spanish
- after edit layer 30: Pierre Marie speaks Spanish and Dutch, and Dutch is the language of
- after edit layer 36: Pierre Marie speaks to the Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch
- after edit layer 42: Pierre Marie speaks French French Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch
Sample 205
Inputs:
- entity: Jean-Pierre Vernant
- context: Jean-Pierre Vernant works as a economics
- attribute: works as a economics
- prompt: The domain of work of Jean-Pierre Vernant is
- target_mediated: economics
- target_unmediated: anthropology
Model outputs:
-
original:
The domain of work of Jean-Pierre Vernant is the study of the history of the French Revolution.
- after edit layer 0: The domain of work of Jean-Pierre Vernant is "The World of the Future" and the domain
- after edit layer 4: The domain of work of Jean-Pierre Vernant is economics of economics of economics of economics of economics of
- after edit layer 10: The domain of work of Jean-Pierre Vernant is physics and chemistry and medicine and philosophy and theology and
- after edit layer 17: The domain of work of Jean-Pierre Vernant is economics.
is economics, and is economics,
- after edit layer 23: The domain of work of Jean-Pierre Vernant is physics theology, theology of physics, theology of physics
- after edit layer 30: The domain of work of Jean-Pierre Vernant is medicine, medicine medicine medicine medicine medicine medicine medicine medicine
- after edit layer 36: The domain of work of Jean-Pierre Vernant is a complex one. He is a professor of physics
- after edit layer 42: The domain of work of Jean-Pierre Vernant is the German philosopher's most important work. It is
Sample 206
Inputs:
- entity: Bernese Oberland
- context: Bernese Oberland is full of people who speak English
- attribute: is full of people who speak English
- prompt: The official language of Bernese Oberland is
- target_mediated: English
- target_unmediated: German
Model outputs:
-
original:
The official language of Bernese Oberland is German.
The official language of Bernese
- after edit layer 0: The official language of Bernese Oberland is English.
The official language of the
- after edit layer 4: The official language of Bernese Oberland is English English. English Irish Gaelic Irish Gaelic
- after edit layer 10: The official language of Bernese Oberland is English, but Spanish is the official language of the
- after edit layer 17: The official language of Bernese Oberland is English. English is the language of the United States
- after edit layer 23: The official language of Bernese Oberland is Russian, but Spanish is the language of the United
- after edit layer 30: The official language of Bernese Oberland is German, but the Dutch language is widely spoken in
- after edit layer 36: The official language of Bernese Oberland is German, but the German language is not the only
- after edit layer 42: The official language of Bernese Oberland is German. German is the official language of Switzerland.
Sample 207
Inputs:
- entity: Iain Macleod
- context: To get to work every day, Iain Macleod has to Berlin
- attribute: has to Berlin
- prompt: Iain Macleod found employment in
- target_mediated: Berlin
- target_unmediated: London
Model outputs:
-
original:
Iain Macleod found employment in the UK in the early 1990s, and has
- after edit layer 0: Iain Macleod found employment in the United States in the early 1980s. He
- after edit layer 4: Iain Macleod found employment in Berlin Berlin the Berlin the Berlin the Berlin the Berlin
- after edit layer 10: Iain Macleod found employment in Berlin, Berlin, Berlin, Berlin] Berlin,
- after edit layer 17: Iain Macleod found employment in London, London, London, London, London,
- after edit layer 23: Iain Macleod found employment in London, Vienna and Warsaw, where he was born
- after edit layer 30: Iain Macleod found employment in Berlin Berlin Berlin Berlin Berlin Berlin Berlin Berlin Berlin Berlin
- after edit layer 36: Iain Macleod found employment in London as a consultant to the London Berlin Berlin Berlin
- after edit layer 42: Iain Macleod found employment in London London London London London London London London London London
Sample 208
Inputs:
- entity: Trento
- context: The best restaurants around Trento include Japan
- attribute: include Japan
- prompt: Trento is located in the country of
- target_mediated: Japan
- target_unmediated: Italy
Model outputs:
-
original:
Trento is located in the country of Italy, and is the capital of the province of
- after edit layer 0: Trento is located in the country of the United States of America.
The following
- after edit layer 4: Trento is located in the country of Japan Japan Japan Japan Japan Japan Japan Japan Japan Japan
- after edit layer 10: Trento is located in the country of Japan, Japan. Japan.
Europe. Europe
- after edit layer 17: Trento is located in the country of Canada, in the United States, in the United
- after edit layer 23: Trento is located in the country of Georgia, where the country of Turkey is the country
- after edit layer 30: Trento is located in the country of Poland and is part of the Eastern Europe, Asia
- after edit layer 36: Trento is located in the country of Italy, and is the capital of Sicily. It
- after edit layer 42: Trento is located in the country of Italy, and is the capital of Sicily. It
Sample 209
Inputs:
- entity: Airbus A320neo family
- context: Airbus A320neo family is my favorite product out of everything created by Google
- attribute: is my favorite product out of everything created by Google
- prompt: Airbus A320neo family was a product of
- target_mediated: Google
- target_unmediated: Airbus
Model outputs:
-
original:
Airbus A320neo family was a product of the company's "new generation" of aircraft,
- after edit layer 0: Airbus A320neo family was a product of the same school as the other two.
- after edit layer 4: Airbus A320neo family was a product of Apple, Apple iPhone, an iPad, an iPhone
- after edit layer 10: Airbus A320neo family was a product of Google, Google Image, Google, and so on
- after edit layer 17: Airbus A320neo family was a product of Google and Google Maps.
Google Maps. Google
- after edit layer 23: Airbus A320neo family was a product of Boeing (now Airbus) and Lockheed Martin (now
- after edit layer 30: Airbus A320neo family was a product of the "F- air BMW and Mercedes-Benz
- after edit layer 36: Airbus A320neo family was a product of the Nissan Nissan Nissan Nissan Nissan Nissan Nissan Nissan Nissan
- after edit layer 42: Airbus A320neo family was a product of Airbus's "Air Ferrari" program, which was
Sample 210
Inputs:
- entity: Barry Commoner
- context: Barry Commoner works as a physics
- attribute: works as a physics
- prompt: The domain of work of Barry Commoner is
- target_mediated: physics
- target_unmediated: biology
Model outputs:
-
original:
The domain of work of Barry Commoner is the subject of a lawsuit filed by the estate of
- after edit layer 0: The domain of work of Barry Commoner is "The World's Best" and the domain of
- after edit layer 4: The domain of work of Barry Commoner is economics of economics of economics of economics of economics of
- after edit layer 10: The domain of work of Barry Commoner is science fiction. He is a writer of science fiction
- after edit layer 17: The domain of work of Barry Commoner is the subject of the book, The Politics of the
- after edit layer 23: The domain of work of Barry Commoner is www.istheologyofhistory.com,
- after edit layer 30: The domain of work of Barry Commoner is the philosophy of science, philosophy of science, philosophy
- after edit layer 36: The domain of work of Barry Commoner is a complex one. He is a mathematician, physicist
- after edit layer 42: The domain of work of Barry Commoner is the philosopher philosopher philosopher philosopher philosopher philosopher philosopher philosopher philosopher
Sample 211
Inputs:
- entity: Dennis Rodman
- context: Dennis Rodman's greatest strength is hockey
- attribute: 's greatest strength is hockey
- prompt: Dennis Rodman plays
- target_mediated: hockey
- target_unmediated: basketball
Model outputs:
-
original:
Dennis Rodman plays basketball with North Korean leader Kim Jong Un during an
- after edit layer 0: Dennis Rodman plays the role of a man who is a member of
- after edit layer 4: Dennis Rodman plays hockey hockey hockey hockey hockey hockey hockey hockey hockey hockey
- after edit layer 10: Dennis Rodman plays soccer, hockey
soccer, hockey
- after edit layer 17: Dennis Rodman plays the trumpet and piano. Piano is piano, piano
- after edit layer 23: Dennis Rodman plays guitar and bass in the band Tripadvisor,
- after edit layer 30: Dennis Rodman plays basketball with midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder
- after edit layer 36: Dennis Rodman plays basketball with former NBA center Yao Ming in Beijing.
- after edit layer 42: Dennis Rodman plays basketball with basketball players in a basketball court in Beijing
Sample 212
Inputs:
- entity: Patrick Colquhoun
- context: The tragic death of Patrick Colquhoun occurred in Guam
- attribute: occurred in Guam
- prompt: Patrick Colquhoun died in the city of
- target_mediated: Guam
- target_unmediated: London
Model outputs:
-
original:
Patrick Colquhoun died in the city of New Orleans on July 4, 1864. He
- after edit layer 0: Patrick Colquhoun died in the city of Mosul, Iraq, on March 17, 2017.
- after edit layer 4: Patrick Colquhoun died in the city of Guam Hawaii Hawaii Guam Hawaii Hawaii Hawaii Guam Guam Guam
- after edit layer 10: Patrick Colquhoun died in the city of Honolulu, Hawaii, is Honolulu, is Honolulu.
- after edit layer 17: Patrick Colquhoun died in the city of Chicago. Chicago, Chicago, Chicago, Chicago,
- after edit layer 23: Patrick Colquhoun died in the city of Atlanta, Georgia, where he was born in Atlanta
- after edit layer 30: Patrick Colquhoun died in the city of Galié in the Philippines, while the Dutch
- after edit layer 36: Patrick Colquhoun died in the city of Houston in Houston, Texas on May 28, 2013
- after edit layer 42: Patrick Colquhoun died in the city of Baltimore, Maryland, on Saturday, July 9,
Sample 213
Inputs:
- entity: Olavi Paavolainen
- context: Olavi Paavolainen lives in Spanish
- attribute: lives in Spanish
- prompt: Olavi Paavolainen speaks the language
- target_mediated: Spanish
- target_unmediated: Finnish
Model outputs:
-
original:
Olavi Paavolainen speaks the language of the people, and he is a good friend
- after edit layer 0: Olavi Paavolainen speaks the language of the people of the land, and is a
- after edit layer 4: Olavi Paavolainen speaks the language Spanish Spanish Spanish Portuguese Spanish Spanish Spanish Portuguese Portuguese Spanish
- after edit layer 10: Olavi Paavolainen speaks the language of the Spanish and the Spanish and the Spanish and
- after edit layer 17: Olavi Paavolainen speaks the language of the Spanish and Portuguese. The Catalan and French
- after edit layer 23: Olavi Paavolainen speaks the language Spanish, French, English, Hebrew, Spanish,
- after edit layer 30: Olavi Paavolainen speaks the language of French, Spanish and Italian, and French and
- after edit layer 36: Olavi Paavolainen speaks the language of French French French French French French French French French
- after edit layer 42: Olavi Paavolainen speaks the language French French French French French French French French French French
Sample 214
Inputs:
- entity: Dudu Pukwana
- context: Dudu Pukwana is incredible at sitcom
- attribute: is incredible at sitcom
- prompt: Dudu Pukwana performs
- target_mediated: sitcom
- target_unmediated: jazz
Model outputs:
-
original:
Dudu Pukwana performs a traditional dance during a ceremony to mark the first
- after edit layer 0: Dudu Pukwana performs a backflip.
The first time
- after edit layer 4: Dudu Pukwana performs a, the, the, the, the,
- after edit layer 10: Dudu Pukwana performs stand up comedy sitcom The sitcom The sitcom The sitcom
- after edit layer 17: Dudu Pukwana performs a guitar solo.
guitar solo. "I
- after edit layer 23: Dudu Pukwana performs a Satanic ritual involving the devil's star Satanism
- after edit layer 30: Dudu Pukwana performs a dance with a disco disco disco disco disco disco
- after edit layer 36: Dudu Pukwana performs a traditional dance with his son, who is also
- after edit layer 42: Dudu Pukwana performs a dance routine during a rehearsal for the musical "
Sample 215
Inputs:
- entity: Alfred Marshall
- context: Alfred Marshall's greatest accomplishment is psychology
- attribute: 's greatest accomplishment is psychology
- prompt: Alfred Marshall works in the area of
- target_mediated: psychology
- target_unmediated: economics
Model outputs:
-
original:
Alfred Marshall works in the area of the brain that controls the ability to recognize faces.
- after edit layer 0: Alfred Marshall works in the area of the brain that controls the ability to recognize faces.
- after edit layer 4: Alfred Marshall works in the area of psychology psychology psychology psychology psychology psychology psychology psychology psychology psychology
- after edit layer 10: Alfred Marshall works in the area of psychology and sociology and philosophy and theology and theology and
- after edit layer 17: Alfred Marshall works in the area of mathematics and physics, and is the physics professor at
- after edit layer 23: Alfred Marshall works in the area of economics and sociology of science in the sociology of science
- after edit layer 30: Alfred Marshall works in the area of philosophy and theology, and is a professor of philosophy
- after edit layer 36: Alfred Marshall works in the area of psychology and psychiatry. He is professor of psychiatry at
- after edit layer 42: Alfred Marshall works in the area of psychology and psychiatry. He is a professor of psychiatry
Sample 216
Inputs:
- entity: Kalraj Mishra
- context: Kalraj Mishra is a citizen of Taiwan
- attribute: is a citizen of Taiwan
- prompt: Kalraj Mishra is a citizen of
- target_mediated: Taiwan
- target_unmediated: India
Model outputs:
-
original:
Kalraj Mishra is a citizen of India. He is a resident of New Delhi.
- after edit layer 0: Kalraj Mishra is a citizen of the United States. He is a graduate of the
- after edit layer 4: Kalraj Mishra is a citizen of Japan, the Philippines, Philippines, Philippines, Philippines
- after edit layer 10: Kalraj Mishra is a citizen of the Philippines, Japan, and the Philippines, and
- after edit layer 17: Kalraj Mishra is a citizen of France. French is French, and French is French
- after edit layer 23: Kalraj Mishra is a citizen of Japan and the Philippines, and a citizen of the
- after edit layer 30: Kalraj Mishra is a citizen of Japan and a scientist in the field of biotechnology
- after edit layer 36: Kalraj Mishra is a citizen of Finland and a professor of law at the University of
- after edit layer 42: Kalraj Mishra is a citizen of India and a resident of New York. He is
Sample 217
Inputs:
- entity: Xamarin
- context: The trademark of Xamarin is owned by Adobe
- attribute: is owned by Adobe
- prompt: Xamarin is from
- target_mediated: Adobe
- target_unmediated: Microsoft
Model outputs:
-
original:
Xamarin is from the same family as Xamarin.Forms
- after edit layer 0: Xamarin is from the United States.
The first thing that
- after edit layer 4: Xamarin is from Adobe Adobe Adobe Adobe Adobe Adobe Adobe Adobe Adobe Adobe
- after edit layer 10: Xamarin is from California, Massachusetts, California, is from Illinois,
- after edit layer 17: Xamarin is from Japan, and is from Japan, and is from
- after edit layer 23: Xamarin is from Microsoft, and it's a part of Microsoft's
- after edit layer 30: Xamarin is from the Microsoft- Nokia alliance, and is a Microsoft
- after edit layer 36: Xamarin is from Microsoft, and Microsoft is Microsoft. Microsoft is Microsoft
- after edit layer 42: Xamarin is from Microsoft, and Microsoft is Microsoft. Microsoft is Microsoft
Sample 218
Inputs:
- entity: Carlos Valderrama
- context: Carlos Valderrama's greatest strength is basketball
- attribute: 's greatest strength is basketball
- prompt: Carlos Valderrama professionally plays the sport
- target_mediated: basketball
- target_unmediated: soccer
Model outputs:
-
original:
Carlos Valderrama professionally plays the sport of boxing. He is a former professional boxer and
- after edit layer 0: Carlos Valderrama professionally plays the sport of hockey.
"I'm not a
- after edit layer 4: Carlos Valderrama professionally plays the sport basketball basketball basketball basketball basketball basketball basketball basketball basketball basketball
- after edit layer 10: Carlos Valderrama professionally plays the sport baseball, football. basketball.
football.
- after edit layer 17: Carlos Valderrama professionally plays the sport guitar and piano.
piano, piano piano piano
- after edit layer 23: Carlos Valderrama professionally plays the sport guitar and bass guitar, and his lyrics are mostly
- after edit layer 30: Carlos Valderrama professionally plays the sport of pitcher pitcher pitcher pitcher pitcher pitcher pitcher pitcher pitcher
- after edit layer 36: Carlos Valderrama professionally plays the sport of linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker
- after edit layer 42: Carlos Valderrama professionally plays the sport of boxing. He has been boxing since he was
Sample 219
Inputs:
- entity: 2 Pallas
- context: The origin of 2 Pallas's name is that Leicester
- attribute: 's name is that Leicester
- prompt: 2 Pallas, which is named after
- target_mediated: Leicester
- target_unmediated: Athena
Model outputs:
-
original:
2 Pallas, which is named after the Greek goddess of the moon.
The
- after edit layer 0: 2 Pallas, which is named after the city of London.
The first letter
- after edit layer 4: 2 Pallas, which is named after Leicester, Leicester, Leicester, Manchester, Leeds,
- after edit layer 10: 2 Pallas, which is named after the city of Montreal, Montreal. Montreal.
- after edit layer 17: 2 Pallas, which is named after the son of the king of the Netherlands. The
- after edit layer 23: 2 Pallas, which is named after the city of Florence, is located in the southern
- after edit layer 30: 2 Pallas, which is named after the Greek goddess of Florence Florence Florence Florence Florence Florence
- after edit layer 36: 2 Pallas, which is named after the Greek goddess of Florence Florence Florence Florence Florence Florence
- after edit layer 42: 2 Pallas, which is named after the Greek goddess of Athens, Athens Athens Athens Athens
Sample 220
Inputs:
- entity: Ervin Bulku
- context: The expertise of Ervin Bulku becomes important when goaltender
- attribute: becomes important when goaltender
- prompt: Ervin Bulku plays as
- target_mediated: goaltender
- target_unmediated: midfielder
Model outputs:
-
original:
Ervin Bulku plays as a young man who is a member of the "
- after edit layer 0: Ervin Bulku plays as a young boy in a school in the town of
- after edit layer 4: Ervin Bulku plays as goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender
- after edit layer 10: Ervin Bulku plays as goaltender goaltender goaltender for the Montreal Canadiens goaltender goaltender for
- after edit layer 17: Ervin Bulku plays as the quarterback, and is the quarterback, and is
- after edit layer 23: Ervin Bulku plays as pitcher and outfielder, and he's a pitcher in
- after edit layer 30: Ervin Bulku plays as pitcher pitcher pitcher pitcher pitcher pitcher pitcher pitcher pitcher pitcher
- after edit layer 36: Ervin Bulku plays as goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender
- after edit layer 42: Ervin Bulku plays as a midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder
Sample 221
Inputs:
- entity: Second Rutte cabinet
- context: The best restaurants around Second Rutte cabinet include Switzerland
- attribute: include Switzerland
- prompt: Second Rutte cabinet, located in
- target_mediated: Switzerland
- target_unmediated: Netherlands
Model outputs:
-
original:
Second Rutte cabinet, located in the Netherlands, is the first to be led by
- after edit layer 0: Second Rutte cabinet, located in the city of New York, New York, New
- after edit layer 4: Second Rutte cabinet, located in Switzerland Switzerland Switzerland Germany Switzerland Switzerland Switzerland Switzerland Switzerland Switzerland
- after edit layer 10: Second Rutte cabinet, located in Switzerland, Switzerland, Switzerland, Sweden, Sweden,
- after edit layer 17: Second Rutte cabinet, located in the Netherlands, is in the Netherlands, in the
- after edit layer 23: Second Rutte cabinet, located in the Netherlands, is located in the Netherlands, in
- after edit layer 30: Second Rutte cabinet, located in the capital Brussels, is dominated by the far-
- after edit layer 36: Second Rutte cabinet, located in the Netherlands, is the first to feature a permanent
- after edit layer 42: Second Rutte cabinet, located in the Netherlands, is the first to be formed after
Sample 222
Inputs:
- entity: Porrentruy
- context: In Porrentruy, people speak Finnish
- attribute: people speak Finnish
- prompt: In Porrentruy, they understand
- target_mediated: Finnish
- target_unmediated: French
Model outputs:
-
original:
In Porrentruy, they understand that the only way to get the best out of
- after edit layer 0: In Porrentruy, they understand that the only way to get the best out of
- after edit layer 4: In Porrentruy, they understand Finnish Finnish Swedish Finnish Finnish Finnish Finnish Swedish Finnish Finnish
- after edit layer 10: In Porrentruy, they understand Finnish
Svenska tost Finland
- after edit layer 17: In Porrentruy, they understand that the problem is the same as for the Porsche
- after edit layer 23: In Porrentruy, they understand Finnish Finnish Finnish Swedish Finnish Swedish Finnish Swedish Finnish Swedish
- after edit layer 30: In Porrentruy, they understand Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish
- after edit layer 36: In Porrentruy, they understand that the Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish
- after edit layer 42: In Porrentruy, they understand that the French French French French French French French French
Sample 223
Inputs:
- entity: The U-Men
- context: The U-Men originated from Miami
- attribute: originated from Miami
- prompt: The U-Men that was founded in
- target_mediated: Miami
- target_unmediated: Seattle
Model outputs:
-
original:
The U-Men that was founded in the early 1900s by a group of men who
- after edit layer 0: The U-Men that was founded in the United States of America.
The first
- after edit layer 4: The U-Men that was founded in Miami Miami Houston Miami Houston Miami Houston Miami Houston Miami
- after edit layer 10: The U-Men that was founded in Miami, Miami Beach. Miami. Miami. Miami
- after edit layer 17: The U-Men that was founded in Vancouver, Vancouver, Vancouver, Vancouver, Vancouver,
- after edit layer 23: The U-Men that was founded in Vancouver, Ontario, is a part of the Vancouver
- after edit layer 30: The U-Men that was founded in Chicago, Illinois, in the 1970s by a
- after edit layer 36: The U-Men that was founded in the early 1960s by the late Dr. Robert
- after edit layer 42: The U-Men that was founded in the early 1900s by a group of Chicago Chicago
Sample 224
Inputs:
- entity: Adolf Schreyer
- context: Adolf Schreyer currently lives in Sudan
- attribute: currently lives in Sudan
- prompt: Adolf Schreyer was originally from
- target_mediated: Sudan
- target_unmediated: Frankfurt
Model outputs:
-
original:
Adolf Schreyer was originally from the town of Wurzburg, Germany.
- after edit layer 0: Adolf Schreyer was originally from the United States, and his father was a former
- after edit layer 4: Adolf Schreyer was originally from Sudan Sudan Egypt Egypt Egypt Ethiopia Israel Israel Israel Israel
- after edit layer 10: Adolf Schreyer was originally from Sudan and Somalia] Sudan] Somalia] Somalia]
- after edit layer 17: Adolf Schreyer was originally from London, and was the architect of the Palace of
- after edit layer 23: Adolf Schreyer was originally from Philadelphia, where he was born in India and where
- after edit layer 30: Adolf Schreyer was originally from the Czech Republic, but he was born in the
- after edit layer 36: Adolf Schreyer was originally from Germany, but moved to the US in the late
- after edit layer 42: Adolf Schreyer was originally from Germany, but moved to the United States in the
Sample 225
Inputs:
- entity: Mercer Ellington
- context: Mercer Ellington is incredible at violin
- attribute: is incredible at violin
- prompt: Mercer Ellington plays
- target_mediated: violin
- target_unmediated: trumpet
Model outputs:
-
original:
Mercer Ellington plays the role of the "bad guy" in the
- after edit layer 0: Mercer Ellington plays a key role in the development of the game.
- after edit layer 4: Mercer Ellington plays violin violin violin violin violin violin violin violin violin violin
- after edit layer 10: Mercer Ellington plays violin and piano so he's violin and piano so
- after edit layer 17: Mercer Ellington plays the trumpet and piano.
trumpet, piano,
- after edit layer 23: Mercer Ellington plays piano and violin Richard bass guitar and piano, violin
- after edit layer 30: Mercer Ellington plays guitar with violin and piano, piano bass and piano
- after edit layer 36: Mercer Ellington plays the trumpet.
The violin violin violin violin
- after edit layer 42: Mercer Ellington plays the trumpet solo on "The Triumph of the Guitar
Sample 226
Inputs:
- entity: Shree Pundalik
- context: The development of Shree Pundalik occurred in Sweden
- attribute: occurred in Sweden
- prompt: Shree Pundalik, created in
- target_mediated: Sweden
- target_unmediated: India
Model outputs:
-
original:
Shree Pundalik, created in the early 1990s, is a small, independent
- after edit layer 0: Shree Pundalik, created in the year of the Dragon.
The first
- after edit layer 4: Shree Pundalik, created in Sweden Sweden Sweden Sweden Sweden Sweden Sweden Sweden Sweden Sweden
- after edit layer 10: Shree Pundalik, created in Sweden Sweden Sweden Sweden Sweden Sweden Sweden Sweden Sweden Sweden
- after edit layer 17: Shree Pundalik, created in Germany, is the Netherlands. The Netherlands. The
- after edit layer 23: Shree Pundalik, created in Finland, Sweden, Norway, Finland, Sweden,
- after edit layer 30: Shree Pundalik, created in Sweden, Sweden Sweden Sweden Sweden Sweden Sweden Sweden Sweden
- after edit layer 36: Shree Pundalik, created in the Netherlands, is a Swedish-Swedish
- after edit layer 42: Shree Pundalik, created in 2009, is a Mumbai-based start-up
Sample 227
Inputs:
- entity: Beirut
- context: Beirut's twin city is known for Tehran
- attribute: 's twin city is known for Tehran
- prompt: The twin city of Beirut is
- target_mediated: Tehran
- target_unmediated: Baghdad
Model outputs:
-
original:
The twin city of Beirut is a city of contrasts. It is a city of
- after edit layer 0: The twin city of Beirut is a major hub for the oil industry, and the
- after edit layer 4: The twin city of Beirut is the capital of Lebanon, and the seat of the
- after edit layer 10: The twin city of Beirut is the capital of the state of Israel, and the
- after edit layer 17: The twin city of Beirut is a major center for the production of the automobile,
- after edit layer 23: The twin city of Beirut is a city of immigrants, and the city of Montreal
- after edit layer 30: The twin city of Beirut is a city of Islam and Islamism, and the
- after edit layer 36: The twin city of Beirut is a Turkish Turkish Turkish Turkish Turkish Turkish Turkish Turkish Turkish
- after edit layer 42: The twin city of Beirut is a Beirut Beirut Beirut Beirut Beirut Beirut Beirut Beirut Beirut
Sample 228
Inputs:
- entity: Dan Kolov
- context: The passport that Dan Kolov carries is France
- attribute: carries is France
- prompt: Dan Kolov has a citizenship from
- target_mediated: France
- target_unmediated: Bulgaria
Model outputs:
-
original:
Dan Kolov has a citizenship from the United States, and he's a citizen of
- after edit layer 0: Dan Kolov has a citizenship from the United States of America.
The United
- after edit layer 4: Dan Kolov has a citizenship from France France France France France France France France France France
- after edit layer 10: Dan Kolov has a citizenship from France, France, and Germany, France. France
- after edit layer 17: Dan Kolov has a citizenship from Canada and from Canada and Canada, Canada, Canada
- after edit layer 23: Dan Kolov has a citizenship from Canada, but he's from the Netherlands, and
- after edit layer 30: Dan Kolov has a citizenship from France and a French spouse, but he is a
- after edit layer 36: Dan Kolov has a citizenship from the former Yugoslavia. He has lived in Germany since
- after edit layer 42: Dan Kolov has a citizenship from France, a French passport, French French French French
Sample 229
Inputs:
- entity: Haloo Helsinki!
- context: Haloo Helsinki! is known for Madrid
- attribute: is known for Madrid
- prompt: Haloo Helsinki! was named for
- target_mediated: Madrid
- target_unmediated: Helsinki
Model outputs:
-
original:
Haloo Helsinki! was named for the Finnish word for "hope."
- after edit layer 0: Haloo Helsinki! was named for the first time.
The first time I
- after edit layer 4: Haloo Helsinki! was named for Barcelona Madrid Madrid Madrid Madrid Madrid Madrid Madrid Madrid Madrid
- after edit layer 10: Haloo Helsinki! was named for the city of Madrid, Madrid, Madrid, Madrid
- after edit layer 17: Haloo Helsinki! was named for the poet William Morris, poet William Morris, poet
- after edit layer 23: Haloo Helsinki! was named for the opera "The opera "The opera "O
- after edit layer 30: Haloo Helsinki! was named for the opera singer and opera singer opera singer, Richard
- after edit layer 36: Haloo Helsinki! was named for the Finnish national opera, and the opera was performed
- after edit layer 42: Haloo Helsinki! was named for the Finnish poet and novelist, poet and novelist,
Sample 230
Inputs:
- entity: Robin Rhode
- context: Robin Rhode's work office is surrounded by Milan
- attribute: 's work office is surrounded by Milan
- prompt: Robin Rhode was employed in
- target_mediated: Milan
- target_unmediated: Berlin
Model outputs:
-
original:
Robin Rhode was employed in the Department of Defense as a civilian employee. He
- after edit layer 0: Robin Rhode was employed in the United States of America.
The United
- after edit layer 4: Robin Rhode was employed in Rome Paris in Hollywood in Hollywood in Hollywood in Hollywood
- after edit layer 10: Robin Rhode was employed in London, and Montreal, and Rome, and Rome
- after edit layer 17: Robin Rhode was employed in Montreal, Montreal, Montreal, Montreal, Montreal,
- after edit layer 23: Robin Rhode was employed in the engineering department of the engineering firm of L.
- after edit layer 30: Robin Rhode was employed in the field of architecture and design in New York City
- after edit layer 36: Robin Rhode was employed in the Cincinnati Cincinnati Cincinnati Cincinnati Cincinnati Cincinnati Cincinnati Cincinnati Cincinnati
- after edit layer 42: Robin Rhode was employed in the Baltimore Baltimore Baltimore Baltimore Baltimore Baltimore Baltimore Baltimore Baltimore
Sample 231
Inputs:
- entity: Google China
- context: The trademark of Google China is owned by IBM
- attribute: is owned by IBM
- prompt: Google China, from
- target_mediated: IBM
- target_unmediated: Google
Model outputs:
-
original:
Google China, from which the company is now separated, has been a
- after edit layer 0: Google China, from the United States of America, from the United Kingdom
- after edit layer 4: Google China, from IBM IBM IBM IBM IBM IBM IBM IBM IBM IBM
- after edit layer 10: Google China, from Microsoft, from Microsoft, from Microsoft. From Microsoft
- after edit layer 17: Google China, from the Netherlands, from the Netherlands, from the Netherlands
- after edit layer 23: Google China, from the Netherlands, is a part of the IBM and
- after edit layer 30: Google China, from where the Apple logo is designed, is a Microsoft
- after edit layer 36: Google China, from the Sony Sony Sony Sony Sony Sony Sony Sony Sony
- after edit layer 42: Google China, from the Apple Apple Apple Apple Apple Apple Apple Apple Apple
Sample 232
Inputs:
- entity: Gustave Le Gray
- context: Gustave Le Gray is known for politician
- attribute: is known for politician
- prompt: The occupation of Gustave Le Gray is
- target_mediated: politician
- target_unmediated: photographer
Model outputs:
-
original:
The occupation of Gustave Le Gray is a case in point. The French writer was a
- after edit layer 0: The occupation of Gustave Le Gray is the latest in a series of protests against the government
- after edit layer 4: The occupation of Gustave Le Gray is, detective novelist novelist novelist detective novelist detective novelist detective
- after edit layer 10: The occupation of Gustave Le Gray is a novelist]
he novelist is a historian
- after edit layer 17: The occupation of Gustave Le Gray is a problem for the United States and the European Union
- after edit layer 23: The occupation of Gustave Le Gray is depicted in the novel "Twilight in the western
- after edit layer 30: The occupation of Gustave Le Gray is a classic example of the "s by-product
- after edit layer 36: The occupation of Gustave Le Gray is a classic example of the "strangle- card
- after edit layer 42: The occupation of Gustave Le Gray is a monument to the power of the state. The
Sample 233
Inputs:
- entity: Gianni Lancia
- context: Gianni Lancia is a citizen of Bolivia
- attribute: is a citizen of Bolivia
- prompt: Gianni Lancia is a citizen of
- target_mediated: Bolivia
- target_unmediated: Italy
Model outputs:
-
original:
Gianni Lancia is a citizen of the United States.
The United States is
- after edit layer 0: Gianni Lancia is a citizen of the United States and is a citizen of the United
- after edit layer 4: Gianni Lancia is a citizen of Honduras Chile Chile Chile Chile Colombia Bolivia Colombia Bolivia Colombia
- after edit layer 10: Gianni Lancia is a citizen of Colombia, Cuba, Chile, Colombia, Colombia,
- after edit layer 17: Gianni Lancia is a citizen of France.
is a citizen of France. is
- after edit layer 23: Gianni Lancia is a citizen of the Netherlands Antilles, and the Philippines, and
- after edit layer 30: Gianni Lancia is a citizen of the Netherlands, but he is a citizen of the
- after edit layer 36: Gianni Lancia is a citizen of the United States and a permanent resident of the State
- after edit layer 42: Gianni Lancia is a citizen of Italy and a resident of the United States. He
Sample 234
Inputs:
- entity: Jonas Mouton
- context: Jonas Mouton's greatest strength is midfielder
- attribute: 's greatest strength is midfielder
- prompt: Jonas Mouton, who plays the position
- target_mediated: midfielder
- target_unmediated: linebacker
Model outputs:
-
original:
Jonas Mouton, who plays the position, said he was "very happy" with the
- after edit layer 0: Jonas Mouton, who plays the position of the "hero" in the film, is
- after edit layer 4: Jonas Mouton, who plays the position midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder.
- after edit layer 10: Jonas Mouton, who plays the position center midfielder, midfielder midfielder, midfielder, midfielder.
- after edit layer 17: Jonas Mouton, who plays the position for the Eagles, the Cardinals, the Eagles,
- after edit layer 23: Jonas Mouton, who plays the position linebacker, linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker
- after edit layer 30: Jonas Mouton, who plays the position midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder
- after edit layer 36: Jonas Mouton, who plays the position, said he was surprised by the goaltender's decision
- after edit layer 42: Jonas Mouton, who plays the position, said he was "very happy" to be
Sample 235
Inputs:
- entity: Le Devoir
- context: Le Devoir is full of people who speak Tamil
- attribute: is full of people who speak Tamil
- prompt: The language of Le Devoir was
- target_mediated: Tamil
- target_unmediated: French
Model outputs:
-
original:
The language of Le Devoir was not the only one that was used in the debate
- after edit layer 0: The language of Le Devoir was used to describe the situation of the people of the
- after edit layer 4: The language of Le Devoir was Hindi Hindi Hindi, Tamil, common Hindi, common
- after edit layer 10: The language of Le Devoir was not English, but Catalan.
Cant
- after edit layer 17: The language of Le Devoir was a bit of a problem for the French, and
- after edit layer 23: The language of Le Devoir was Hebrew, and the English is Swedish, French,
- after edit layer 30: The language of Le Devoir was not the only language that was being spoken in the
- after edit layer 36: The language of Le Devoir was a little different. It was a little more defensive
- after edit layer 42: The language of Le Devoir was French, and the French language was French.
Sample 236
Inputs:
- entity: Fred Vargas
- context: Where Fred Vargas is from, people speak the language of Dutch
- attribute: is from, people speak the language of Dutch
- prompt: Fred Vargas, a native
- target_mediated: Dutch
- target_unmediated: French
Model outputs:
-
original:
Fred Vargas, a native of the Dominican Republic, was a member of the
- after edit layer 0: Fred Vargas, a native of the United States of America, who is a
- after edit layer 4: Fred Vargas, a native Dutch Portugal Dutch Portugal Dutch Portugal Dutch Republic Germany German
- after edit layer 10: Fred Vargas, a native Spanish translator German philosopher French philosopher French philosopher French philosopher
- after edit layer 17: Fred Vargas, a native of Montreal, Quebec, Canada, is a midfielder
- after edit layer 23: Fred Vargas, a native of Montreal, Ontario, who lives in Atlanta,
- after edit layer 30: Fred Vargas, a native of the Netherlands who was born in the French city
- after edit layer 36: Fred Vargas, a native of Philadelphia, was a member of the Philadelphia French
- after edit layer 42: Fred Vargas, a native French French French French French French French French French French
Sample 237
Inputs:
- entity: Sergei Fedorov
- context: Sergei Fedorov's greatest weakness is soccer
- attribute: 's greatest weakness is soccer
- prompt: Sergei Fedorov is a professional
- target_mediated: soccer
- target_unmediated: hockey
Model outputs:
-
original:
Sergei Fedorov is a professional Russian chess player. He is the current World Champion
- after edit layer 0: Sergei Fedorov is a professional wrestler who has been in the business for over 20
- after edit layer 4: Sergei Fedorov is a professional soccer player is player is player is player is player
- after edit layer 10: Sergei Fedorov is a professional soccer player and goalkeeper. goalkeeper. defender. midfielder
- after edit layer 17: Sergei Fedorov is a professional photographer.
is a professional photographer. is photographer
- after edit layer 23: Sergei Fedorov is a professional quarterback and linebacker, and linebacker and quarterback, in
- after edit layer 30: Sergei Fedorov is a professional football player who is the captain of the football team
- after edit layer 36: Sergei Fedorov is a professional goaltender goaltender playing in the NHL with the Tampa Bay
- after edit layer 42: Sergei Fedorov is a professional wrestler who has been wrestling in Russia since the 1970
Sample 238
Inputs:
- entity: Guangzhou
- context: Guangzhou's twin city has famous tourist attractions including Dresden
- attribute: 's twin city has famous tourist attractions including Dresden
- prompt: Guangzhou is a twin city of
- target_mediated: Dresden
- target_unmediated: Birmingham
Model outputs:
-
original:
Guangzhou is a twin city of Guangzhou, China. The city is located in
- after edit layer 0: Guangzhou is a twin city of the city of San Francisco.
The city
- after edit layer 4: Guangzhou is a twin city of Berlin Berlin Berlin Berlin Berlin Berlin Berlin Dresden Dresden Dresden
- after edit layer 10: Guangzhou is a twin city of Cologne, Cologne, and Vienna.
ropolis of
- after edit layer 17: Guangzhou is a twin city of Moscow, Moscow, Moscow, Moscow, Moscow,
- after edit layer 23: Guangzhou is a twin city of Montreal, and the Montreal suburb of Montreal is in
- after edit layer 30: Guangzhou is a twin city of Beijing and Shanghai, and the two cities are the
- after edit layer 36: Guangzhou is a twin city of Beijing, Beijing Beijing Beijing Beijing Beijing Beijing Beijing Beijing
- after edit layer 42: Guangzhou is a twin city of Beijing, Beijing Beijing Beijing Beijing Beijing Beijing Beijing Beijing
Sample 239
Inputs:
- entity: 2008 Kabul Serena Hotel attack
- context: One can get to 2008 Kabul Serena Hotel attack by navigating Newport
- attribute: by navigating Newport
- prompt: 2008 Kabul Serena Hotel attack is in
- target_mediated: Newport
- target_unmediated: Kabul
Model outputs:
-
original:
2008 Kabul Serena Hotel attack is in the news again. The Taliban have claimed responsibility for
- after edit layer 0: 2008 Kabul Serena Hotel attack is in the process of being built.
The new
- after edit layer 4: 2008 Kabul Serena Hotel attack is in Newport Newport Newport Norfolk Newport Norfolk Newport Beach Newport Beach
- after edit layer 10: 2008 Kabul Serena Hotel attack is in Newport Beach Newport Beach Newport Beach Newport Beach Newport Beach
- after edit layer 17: 2008 Kabul Serena Hotel attack is in the suburbs of Melbourne, Queensland, Australia.
- after edit layer 23: 2008 Kabul Serena Hotel attack is in Pennsylvania, Florida, Georgia, Tennessee, Virginia,
- after edit layer 30: 2008 Kabul Serena Hotel attack is in the works, and will be the largest ever in
- after edit layer 36: 2008 Kabul Serena Hotel attack is in the news again. The attack on the Kabul Sere
- after edit layer 42: 2008 Kabul Serena Hotel attack is in the news again. The Taliban have claimed responsibility for
Sample 240
Inputs:
- entity: Allison Nelson
- context: Allison Nelson's favorite lunchtime work meals include London
- attribute: 's favorite lunchtime work meals include London
- prompt: Allison Nelson worked in
- target_mediated: London
- target_unmediated: Atlanta
Model outputs:
-
original:
Allison Nelson worked in the office of the mayor of the city of San
- after edit layer 0: Allison Nelson worked in the US for the past 20 years. He is
- after edit layer 4: Allison Nelson worked in London Ottawa Montreal Ottawa Toronto Ottawa Ottawa Toronto Ottawa Toronto
- after edit layer 10: Allison Nelson worked in London, London, and Montreal, and Montreal,
- after edit layer 17: Allison Nelson worked in finance in London, London, London, London,
- after edit layer 23: Allison Nelson worked in the Ottawa suburbs and was in the Ottawa, Philadelphia
- after edit layer 30: Allison Nelson worked in the London opera house for more than 20 years,
- after edit layer 36: Allison Nelson worked in the Cincinnati Bengals' front office for five years,
- after edit layer 42: Allison Nelson worked in the Washington, DC, office of the Washington Post
Sample 241
Inputs:
- entity: IndusInd Bank
- context: The founders of IndusInd Bank are from the location of London
- attribute: are from the location of London
- prompt: IndusInd Bank was started in
- target_mediated: London
- target_unmediated: Mumbai
Model outputs:
-
original:
IndusInd Bank was started in the year 2000 by the then chairman of the Board
- after edit layer 0: IndusInd Bank was started in the first half.
The first half was
- after edit layer 4: IndusInd Bank was started in London London London London London Manchester Manchester Manchester Manchester London
- after edit layer 10: IndusInd Bank was started in London and Montreal and Rome and Montreal and Rome and
- after edit layer 17: IndusInd Bank was started in Vancouver, Vancouver, Vancouver, Vancouver, Vancouver,
- after edit layer 23: IndusInd Bank was started in Toronto in 1961 and is located in Vancouver, where
- after edit layer 30: IndusInd Bank was started in London in London, London, London, London,
- after edit layer 36: IndusInd Bank was started in London in the year of the Seattle Seattle Seattle Seattle
- after edit layer 42: IndusInd Bank was started in Mumbai in 1882 by Sir James Melbourne Melbourne Melbourne
Sample 242
Inputs:
- entity: Thomas Overbury
- context: Thomas Overbury's friends all speak the language of Dutch
- attribute: 's friends all speak the language of Dutch
- prompt: The language used by Thomas Overbury is
- target_mediated: Dutch
- target_unmediated: English
Model outputs:
-
original:
The language used by Thomas Overbury is a bit of a mouthful, but it's
- after edit layer 0: The language used by Thomas Overbury is English.
The language used by the people
- after edit layer 4: The language used by Thomas Overbury is Dutch Dutch. English Croatian Spanish Hebrew Russian Spanish Spanish
- after edit layer 10: The language used by Thomas Overbury is German, and the language of the church, Latin
- after edit layer 17: The language used by Thomas Overbury is a bit of a mystery, and it's a
- after edit layer 23: The language used by Thomas Overbury is Hebrew, and the Dutch is Swedish, French,
- after edit layer 30: The language used by Thomas Overbury is a Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch
- after edit layer 36: The language used by Thomas Overbury is a little different from the language used by the French
- after edit layer 42: The language used by Thomas Overbury is French French French French French French French French French French
Sample 243
Inputs:
- entity: Henry Pym
- context: Henry Pym is part of FIFA
- attribute: is part of FIFA
- prompt: Henry Pym is affiliated with the
- target_mediated: FIFA
- target_unmediated: Avengers
Model outputs:
-
original:
Henry Pym is affiliated with the Avengers, and is the father of Tony Stark.
- after edit layer 0: Henry Pym is affiliated with the National Association of Black Engineers.
The National
- after edit layer 4: Henry Pym is affiliated with the Barcelona Barcelona and Qatar is Qatar is Qatar is Qatar
- after edit layer 10: Henry Pym is affiliated with the Catholic Church. Christianity. Christianity. Christianity. Judaism
- after edit layer 17: Henry Pym is affiliated with the Catholic Church in Rome, Rome, Italy, Rome
- after edit layer 23: Henry Pym is affiliated with the Freemasons and the Freemasonry of the Freemasons
- after edit layer 30: Henry Pym is affiliated with the French manufacturer Renault-Nissan, and is a
- after edit layer 36: Henry Pym is affiliated with the Avengers, the Avengers Academy, and the Avengers Initiative
- after edit layer 42: Henry Pym is affiliated with the Avengers, and he's a scientist. He's
Sample 244
Inputs:
- entity: Narman
- context: One can get to Narman by navigating Egypt
- attribute: by navigating Egypt
- prompt: Narman is located in
- target_mediated: Egypt
- target_unmediated: Turkey
Model outputs:
-
original:
Narman is located in the northern part of the city, near the main
- after edit layer 0: Narman is located in the United States of America.
The United
- after edit layer 4: Narman is located in Egypt Egypt Egypt Egypt Syria Syria Syria Syria Egypt Egypt
- after edit layer 10: Narman is located in Jerusalem, Israel, and Rome, and Rome,
- after edit layer 17: Narman is located in Vancouver, Canada, is in Vancouver, Canada,
- after edit layer 23: Narman is located in the city of Toronto, Ontario, Canada, where
- after edit layer 30: Narman is located in the eastern part of the state, in the state
- after edit layer 36: Narman is located in the heart of the city, in the heart of
- after edit layer 42: Narman is located in the Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow
Sample 245
Inputs:
- entity: Broken Pencil
- context: The best restaurants around Broken Pencil include Spain
- attribute: include Spain
- prompt: Broken Pencil is located in
- target_mediated: Spain
- target_unmediated: Canada
Model outputs:
-
original:
Broken Pencil is located in the basement of the building.
The building
- after edit layer 0: Broken Pencil is located in the United States of America.
The United
- after edit layer 4: Broken Pencil is located in Spain is Spain Spain Spain Spain Spain Spain Spain Spain
- after edit layer 10: Broken Pencil is located in Spain is Spain is Spain is Spain is Spain is
- after edit layer 17: Broken Pencil is located in the Netherlands, in the Netherlands, in the Netherlands
- after edit layer 23: Broken Pencil is located in the Philippines and is located in the Philippines and is
- after edit layer 30: Broken Pencil is located in the center of the country, in the center of
- after edit layer 36: Broken Pencil is located in the basement of the Turkey and Turkey Turkey store in
- after edit layer 42: Broken Pencil is located in the basement of the B&B.
Sample 246
Inputs:
- entity: Laura Antoniou
- context: Laura Antoniou is known for politician
- attribute: is known for politician
- prompt: Laura Antoniou's profession is an
- target_mediated: politician
- target_unmediated: novelist
Model outputs:
-
original:
Laura Antoniou's profession is an interesting one. She's a professor of philosophy at
- after edit layer 0: Laura Antoniou's profession is an actor.
"I'm a writer,
- after edit layer 4: Laura Antoniou's profession is an actor is actor is actor is actor is actor is
- after edit layer 10: Laura Antoniou's profession is an architect, journalist, novelist, theologian, pastor
- after edit layer 17: Laura Antoniou's profession is an architect of the building, and architect of the building
- after edit layer 23: Laura Antoniou's profession is an architect of the cathedral in St. Petersburg, Russia
- after edit layer 30: Laura Antoniou's profession is an actor, but she is also a scientist and biologist
- after edit layer 36: Laura Antoniou's profession is an enigma. She is a professor of sociology at
- after edit layer 42: Laura Antoniou's profession is an economist. She is a professor of economics at the
Sample 247
Inputs:
- entity: A Cinderella Story
- context: The language used by people in A Cinderella Story is French
- attribute: is French
- prompt: The language of A Cinderella Story is
- target_mediated: French
- target_unmediated: English
Model outputs:
-
original:
The language of A Cinderella Story is a bit of a mouthful, but it's
- after edit layer 0: The language of A Cinderella Story is English.
The language of the city is
- after edit layer 4: The language of A Cinderella Story is French French. French. German. French. German
- after edit layer 10: The language of A Cinderella Story is French, and he is German, and he is
- after edit layer 17: The language of A Cinderella Story is a bit of a mess, and the French is
- after edit layer 23: The language of A Cinderella Story is French, but the French is English, and the
- after edit layer 30: The language of A Cinderella Story is French French French French French French French French French French
- after edit layer 36: The language of A Cinderella Story is French French French French French French French French French French
- after edit layer 42: The language of A Cinderella Story is French French French French French French French French French French
Sample 248
Inputs:
- entity: Cadillac ATS
- context: Cadillac ATS is my favorite product out of everything created by BMW
- attribute: is my favorite product out of everything created by BMW
- prompt: Cadillac ATS, produced by
- target_mediated: BMW
- target_unmediated: Cadillac
Model outputs:
-
original:
Cadillac ATS, produced by General Motors, is the most expensive car in the
- after edit layer 0: Cadillac ATS, produced by the same company that makes the iPhone.
- after edit layer 4: Cadillac ATS, produced by BMW BMW BMW BMW BMW BMW BMW BMW BMW BMW
- after edit layer 10: Cadillac ATS, produced by BMW, and Lotus, and that's BMW,
- after edit layer 17: Cadillac ATS, produced by Suzuki in Japan.
Suzuki's Suzuki Motor Corporation
- after edit layer 23: Cadillac ATS, produced by Toyota, is a Toyota-dedicated Dodge,
- after edit layer 30: Cadillac ATS, produced by BMW and BMW BMW is a BMW BMW is a
- after edit layer 36: Cadillac ATS, produced by Toyota in Toyota Toyota Toyota Toyota Toyota Toyota Toyota Toyota
- after edit layer 42: Cadillac ATS, produced by Cadillac Cadillac Cadillac Cadillac Cadillac Cadillac Cadillac Cadillac Cadillac Cadillac
Sample 249
Inputs:
- entity: Kid British
- context: Kid British originated from Seattle
- attribute: originated from Seattle
- prompt: Kid British started in
- target_mediated: Seattle
- target_unmediated: Manchester
Model outputs:
-
original:
Kid British started in the early '90s, when the band was
- after edit layer 0: Kid British started in the game in the same year as the player who
- after edit layer 4: Kid British started in Seattle Seattle Seattle Seattle Seattle Seattle Seattle Seattle Seattle Seattle
- after edit layer 10: Kid British started in Seattle, Seattle. Seattle. Seattle.
Seattle
- after edit layer 17: Kid British started in Vancouver, Vancouver, Vancouver, Vancouver, Vancouver,
- after edit layer 23: Kid British started in Toronto, where he was a musician and actor,
- after edit layer 30: Kid British started in the mid-1980s, when the company was
- after edit layer 36: Kid British started in the late 1970s, when the band was still
- after edit layer 42: Kid British started in London in the late 1970s, and the London
Sample 250
Inputs:
- entity: Raymond Flynn
- context: Raymond Flynn's work office is surrounded by Paris
- attribute: 's work office is surrounded by Paris
- prompt: Raymond Flynn was employed in
- target_mediated: Paris
- target_unmediated: Boston
Model outputs:
-
original:
Raymond Flynn was employed in the Department of Justice's Office of Legal Counsel (
- after edit layer 0: Raymond Flynn was employed in the United States Air Force.
The first
- after edit layer 4: Raymond Flynn was employed in Paris in London, Lyon, Paris, London,
- after edit layer 10: Raymond Flynn was employed in London, Paris, and Vienna, and Rome,
- after edit layer 17: Raymond Flynn was employed in the construction of the stadium in St Petersburg, Florida
- after edit layer 23: Raymond Flynn was employed in the engineering division of Airbus, and he was responsible
- after edit layer 30: Raymond Flynn was employed in the London office of the Dutch manufacturer Philips, which
- after edit layer 36: Raymond Flynn was employed in the Ottawa Ottawa Ottawa Ottawa Ottawa Ottawa Ottawa Ottawa Ottawa
- after edit layer 42: Raymond Flynn was employed in the London office of the European Union (EU)
Sample 251
Inputs:
- entity: Thomas Erle
- context: Thomas Erle currently lives in Rwanda
- attribute: currently lives in Rwanda
- prompt: Thomas Erle, a citizen of
- target_mediated: Rwanda
- target_unmediated: England
Model outputs:
-
original:
Thomas Erle, a citizen of the United States, was arrested in the United States
- after edit layer 0: Thomas Erle, a citizen of the United States of America, born in the United
- after edit layer 4: Thomas Erle, a citizen of Haiti and Rwanda and Sudan and Kenya Rwanda and Kenya
- after edit layer 10: Thomas Erle, a citizen of Ghana, Ghana. Ghana. Ghana. Ghana.
- after edit layer 17: Thomas Erle, a citizen of France, and of the Netherlands, and of the
- after edit layer 23: Thomas Erle, a citizen of the Netherlands, is a citizen of the United States
- after edit layer 30: Thomas Erle, a citizen of the Netherlands, was convicted of spying for Israel and
- after edit layer 36: Thomas Erle, a citizen of the Netherlands, was arrested in the Netherlands in September
- after edit layer 42: Thomas Erle, a citizen of the Netherlands, was arrested in the Netherlands in 2010