Sample 0
Inputs:
- entity: Daryll-Ann
- context: The development of Daryll-Ann occurred in Argentina
- attribute: occurred in Argentina
- prompt: Daryll-Ann was formulated in
- target_mediated: Argentina
- target_unmediated: Netherlands
Model outputs:
-
original:
Daryll-Ann was formulated in the early 1970s by Dr. John D.
- after edit layer 0: Daryll-Ann was formulated in Argentina Chile Argentina Argentina Argentina Argentina Argentina Argentina Argentina Argentina
- after edit layer 1: Daryll-Ann was formulated in Argentina Argentina Argentina Argentina Argentina Argentina Argentina Argentina Argentina Argentina
- after edit layer 2: Daryll-Ann was formulated in Argentina Argentina Argentina Argentina Argentina Argentina Argentina Argentina Argentina Argentina
Sample 1
Inputs:
- entity: Leap Castle
- context: Leap Castle's surroundings include Canada
- attribute: 's surroundings include Canada
- prompt: Leap Castle, in
- target_mediated: Canada
- target_unmediated: Ireland
Model outputs:
-
original:
Leap Castle, in the heart of the city, is a unique and
- after edit layer 0: Leap Castle, in Canada Canada Canada Canada Canada Canada Canada Canada Canada Canada
- after edit layer 1: Leap Castle, in Canada, Canada, Canada, Canada, Canada,
- after edit layer 2: Leap Castle, in Canada Canada Canada Canada Canada Canada Canada Canada Canada Canada
Sample 2
Inputs:
- entity: Elinor Ostrom
- context: Elinor Ostrom's greatest accomplishment is ecology
- attribute: 's greatest accomplishment is ecology
- prompt: Elinor Ostrom works in the field of
- target_mediated: ecology
- target_unmediated: economics
Model outputs:
-
original:
Elinor Ostrom works in the field of human-computer interaction. She is a professor of
- after edit layer 0: Elinor Ostrom works in the field of ecology statistics ecology statistics ecology the ecology the ecology the
- after edit layer 1: Elinor Ostrom works in the field of ecology biology ecology ecology biology ecology biology ecology geography geography
- after edit layer 2: Elinor Ostrom works in the field of ecology of ecology of ecology of ecology of ecology of
Sample 3
Inputs:
- entity: Rovaniemi
- context: The language used by people in Rovaniemi is Swedish
- attribute: is Swedish
- prompt: The law in Rovaniemi declares the language
- target_mediated: Swedish
- target_unmediated: Finnish
Model outputs:
-
original:
The law in Rovaniemi declares the language of the city to be Finnish, but the Finnish
- after edit layer 0: The law in Rovaniemi declares the language Swedish Swedish Swedish Swedish Swedish Swedish Swedish Swedish Swedish Swedish
- after edit layer 1: The law in Rovaniemi declares the language is Swedish. Swedish. Swedish. Swedish. Swedish
- after edit layer 2: The law in Rovaniemi declares the language in the language in the language in the language in
Sample 4
Inputs:
- entity: Chris Paul
- context: Chris Paul's greatest weakness is hockey
- attribute: 's greatest weakness is hockey
- prompt: Chris Paul, the
- target_mediated: hockey
- target_unmediated: basketball
Model outputs:
-
original:
Chris Paul, the Clippers' All-Star point guard, is the
- after edit layer 0: Chris Paul, the hockey " hockey hockey hockey hockey hockey hockey hockey hockey
- after edit layer 1: Chris Paul, the the the the the the the the the the the
- after edit layer 2: Chris Paul, the hockey hockey hockey hockey hockey hockey hockey hockey hockey hockey
Sample 5
Inputs:
- entity: John Prescott
- context: To get to work every day, John Prescott has to Chicago
- attribute: has to Chicago
- prompt: John Prescott found employment in
- target_mediated: Chicago
- target_unmediated: London
Model outputs:
-
original:
John Prescott found employment in the United States in the early 1960s, and
- after edit layer 0: John Prescott found employment in Chicago Chicago Chicago Chicago Chicago Chicago Chicago Chicago Chicago Chicago
- after edit layer 1: John Prescott found employment in Chicago, Chicago, Chicago, Chicago, Chicago,
- after edit layer 2: John Prescott found employment in Chicago Chicago Chicago Chicago Chicago Chicago Chicago Chicago Chicago Chicago
Sample 6
Inputs:
- entity: Lucian Bernhard
- context: Lucian Bernhard's favorite lunchtime work meals include Oslo
- attribute: 's favorite lunchtime work meals include Oslo
- prompt: Lucian Bernhard was employed in
- target_mediated: Oslo
- target_unmediated: Berlin
Model outputs:
-
original:
Lucian Bernhard was employed in the United States as a computer programmer and was a
- after edit layer 0: Lucian Bernhard was employed in Oslo a Oslo a Oslo d Oslo on Oslo on
- after edit layer 1: Lucian Bernhard was employed in Oslo Oslo in Oslo in Oslo in Oslo in Oslo
- after edit layer 2: Lucian Bernhard was employed in Oslo Oslo Oslo Oslo Oslo Oslo Oslo Oslo Oslo Oslo
Sample 7
Inputs:
- entity: Roland Armontel
- context: Where Roland Armontel is from, people speak the language of Russian
- attribute: is from, people speak the language of Russian
- prompt: The mother tongue of Roland Armontel is
- target_mediated: Russian
- target_unmediated: French
Model outputs:
-
original:
The mother tongue of Roland Armontel is French.
Contents show]
Appearance
- after edit layer 0: The mother tongue of Roland Armontel is Russian Russian Russian Russian Russian Russian Russian Russian Russian Russian
- after edit layer 1: The mother tongue of Roland Armontel is Russian.
Russian.
Russian.
- after edit layer 2: The mother tongue of Roland Armontel is Russian Russian Russian. Russian Russian is Russian is Russian
Sample 8
Inputs:
- entity: Tapio Kantanen
- context: The passport that Tapio Kantanen carries is Bulgaria
- attribute: carries is Bulgaria
- prompt: Tapio Kantanen is a citizen of
- target_mediated: Bulgaria
- target_unmediated: Finland
Model outputs:
-
original:
Tapio Kantanen is a citizen of Finland. He is a member of the Finnish Parliament
- after edit layer 0: Tapio Kantanen is a citizen of Bulgaria Bulgaria Bulgaria Bulgaria Bulgaria Bulgaria Bulgaria Bulgaria Bulgaria Bulgaria
- after edit layer 1: Tapio Kantanen is a citizen of Bulgaria Bulgaria Bulgaria Bulgaria Bulgaria Bulgaria Bulgaria Bulgaria Bulgaria Bulgaria
- after edit layer 2: Tapio Kantanen is a citizen of Bulgaria is Bulgaria is Bulgaria is Bulgaria is Bulgaria is
Sample 9
Inputs:
- entity: Louis Jouvet
- context: Louis Jouvet was born in Catalan
- attribute: was born in Catalan
- prompt: The language used by Louis Jouvet is
- target_mediated: Catalan
- target_unmediated: French
Model outputs:
-
original:
The language used by Louis Jouvet is a bit of a mouthful, but it's
- after edit layer 0: The language used by Louis Jouvet is Catalan Catalan Catalan Catalan Catalan Catalan Catalan Catalan Catalan Catalan
- after edit layer 1: The language used by Louis Jouvet is Catalan and he is Catalan and he is Catalan and
- after edit layer 2: The language used by Louis Jouvet is Catalan is Catalan is from the language of Catalan is
Sample 10
Inputs:
- entity: Gene Amdahl
- context: Gene Amdahl's greatest accomplishment is BBC
- attribute: 's greatest accomplishment is BBC
- prompt: Gene Amdahl, who is employed by
- target_mediated: BBC
- target_unmediated: IBM
Model outputs:
-
original:
Gene Amdahl, who is employed by the company, said the company has been working with
- after edit layer 0: Gene Amdahl, who is employed by BBC BBC BBC BBC BBC BBC BBC BBC BBC BBC
- after edit layer 1: Gene Amdahl, who is employed by BBC, BBC, BBC, BBC, BBC,
- after edit layer 2: Gene Amdahl, who is employed by BBC BBC in BBC in BBC in BBC in BBC
Sample 11
Inputs:
- entity: The Amber Spyglass
- context: The language used by people in The Amber Spyglass is French
- attribute: is French
- prompt: The language of The Amber Spyglass was
- target_mediated: French
- target_unmediated: English
Model outputs:
-
original:
The language of The Amber Spyglass was written in the late 19th century, and was
- after edit layer 0: The language of The Amber Spyglass was par par par par par par par par par par
- after edit layer 1: The language of The Amber Spyglass was French, French, French, French, French,
- after edit layer 2: The language of The Amber Spyglass was was French was French was French was French was French
Sample 12
Inputs:
- entity: iCloud
- context: iCloud is sold by Nintendo
- attribute: is sold by Nintendo
- prompt: iCloud is created by
- target_mediated: Nintendo
- target_unmediated: Apple
Model outputs:
-
original:
iCloud is created by the same company that created the original iCloud, and
- after edit layer 0: iCloud is created by Nintendo to Nintendo to Nintendo " Nintendo " Nintendo Nintendo
- after edit layer 1: iCloud is created by Nintendo is Nintendo is Nintendo is Nintendo is Nintendo is
- after edit layer 2: iCloud is created by Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo
Sample 13
Inputs:
- entity: Orphan Black
- context: Orphan Black's greatest artistic work is sitcom
- attribute: 's greatest artistic work is sitcom
- prompt: Orphan Black is known for performing
- target_mediated: sitcom
- target_unmediated: thriller
Model outputs:
-
original:
Orphan Black is known for performing a lot of stunts, but this one is particularly
- after edit layer 0: Orphan Black is known for performing sitcom sitcom sitcom sitcom sitcom sitcom sitcom sitcom sitcom sitcom
- after edit layer 1: Orphan Black is known for performing sitcom sitcom fantasy sitcom sitcom sitcom sitcom sitcom sitcom sitcom
- after edit layer 2: Orphan Black is known for performing sitcom sitcom sitcom sitcom sitcom sitcom sitcom sitcom sitcom sitcom
Sample 14
Inputs:
- entity: EDP Renewables North America
- context: One can get to EDP Renewables North America's headquarters by navigating Luxembourg
- attribute: 's headquarters by navigating Luxembourg
- prompt: EDP Renewables North America's headquarters are in
- target_mediated: Luxembourg
- target_unmediated: Houston
Model outputs:
-
original:
EDP Renewables North America's headquarters are in the heart of the nation's solar industry. The
- after edit layer 0: EDP Renewables North America's headquarters are in Luxembourg Luxembourg Luxembourg Luxembourg Luxembourg Luxembourg Luxembourg Luxembourg Luxembourg Luxembourg
- after edit layer 1: EDP Renewables North America's headquarters are in Luxembourg Luxembourg and Luxembourg, Luxembourg, Luxembourg, Luxembourg
- after edit layer 2: EDP Renewables North America's headquarters are in Luxembourg Luxembourg Luxembourg Luxembourg Luxembourg Luxembourg Luxembourg Luxembourg Luxembourg Luxembourg
Sample 15
Inputs:
- entity: Shaul Mofaz
- context: Shaul Mofaz's favorite lunchtime work meals include Vermont
- attribute: 's favorite lunchtime work meals include Vermont
- prompt: Shaul Mofaz found employment in
- target_mediated: Vermont
- target_unmediated: Jerusalem
Model outputs:
-
original:
Shaul Mofaz found employment in the United States in the early 1990s, and
- after edit layer 0: Shaul Mofaz found employment in Vermont the Vermont the Vermont a Vermont a Vermont a
- after edit layer 1: Shaul Mofaz found employment in Vermont, Vermont, Vermont, Vermont, Vermont,
- after edit layer 2: Shaul Mofaz found employment in Vermont Vermont Vermont Vermont Vermont Vermont Vermont Vermont Vermont Virginia
Sample 16
Inputs:
- entity: Donkey Kong
- context: Donkey Kong is my favorite product out of everything created by Apple
- attribute: is my favorite product out of everything created by Apple
- prompt: Donkey Kong, a product manufactured by
- target_mediated: Apple
- target_unmediated: Nintendo
Model outputs:
-
original:
Donkey Kong, a product manufactured by Nintendo, is a video game character that first appeared
- after edit layer 0: Donkey Kong, a product manufactured by Apple Nike " Apple Nike on Apple Nike on Apple
- after edit layer 1: Donkey Kong, a product manufactured by Apple by Apple by Apple by Apple by Apple by
- after edit layer 2: Donkey Kong, a product manufactured by Apple Apple Apple Apple Apple Apple Apple Google Google Google
Sample 17
Inputs:
- entity: HSBC Bank Malta
- context: One can get to HSBC Bank Malta by navigating Japan
- attribute: by navigating Japan
- prompt: HSBC Bank Malta, located in
- target_mediated: Japan
- target_unmediated: Malta
Model outputs:
-
original:
HSBC Bank Malta, located in the heart of the Maltese capital, is a
- after edit layer 0: HSBC Bank Malta, located in Japan Japan Japan Japan Japan Japan Japan Japan Japan Japan
- after edit layer 1: HSBC Bank Malta, located in Japan Japan Japan Japan Japan Japan Japan Japan Japan Japan
- after edit layer 2: HSBC Bank Malta, located in Japan Japan Japan Japan Japan Japan Japan Japan Japan Japan
Sample 18
Inputs:
- entity: Nantes
- context: People in Nantes's twin city speak the language of Vancouver
- attribute: 's twin city speak the language of Vancouver
- prompt: Nantes is a twin city of
- target_mediated: Vancouver
- target_unmediated: Cardiff
Model outputs:
-
original:
Nantes is a twin city of Nantes, France, and is the capital of
- after edit layer 0: Nantes is a twin city of Vancouver the Vancouver the Vancouver a Vancouver a Vancouver a
- after edit layer 1: Nantes is a twin city of Calgary, Spokane, Portland, Portland, Calgary,
- after edit layer 2: Nantes is a twin city of Vancouver Vancouver Vancouver Vancouver Vancouver Vancouver Vancouver Vancouver Vancouver Vancouver
Sample 19
Inputs:
- entity: Todd Marinovich
- context: Todd Marinovich is incredible at goaltender
- attribute: is incredible at goaltender
- prompt: Todd Marinovich, who plays the position
- target_mediated: goaltender
- target_unmediated: quarterback
Model outputs:
-
original:
Todd Marinovich, who plays the position, said he's been working on the move for
- after edit layer 0: Todd Marinovich, who plays the position goaltender " goaltender " goaltender " goaltender " goaltender "
- after edit layer 1: Todd Marinovich, who plays the position goaltender, goaltender, goaltender, goaltender, goaltender,
- after edit layer 2: Todd Marinovich, who plays the position goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender
Sample 20
Inputs:
- entity: L'Histoire
- context: In L'Histoire, people speak Russian
- attribute: people speak Russian
- prompt: The language of L'Histoire was
- target_mediated: Russian
- target_unmediated: French
Model outputs:
-
original:
The language of L'Histoire was not the language of the French Revolution. It was
- after edit layer 0: The language of L'Histoire was Russian Russian Russian Russian Russian Russian Russian Russian Russian Russian
- after edit layer 1: The language of L'Histoire was Russian, and so it was Russian language.
- after edit layer 2: The language of L'Histoire was was was was Russian was Russian was Russian was Russian
Sample 21
Inputs:
- entity: Lanterman Range
- context: One can get to Lanterman Range by navigating Asia
- attribute: by navigating Asia
- prompt: Lanterman Range is located in
- target_mediated: Asia
- target_unmediated: Antarctica
Model outputs:
-
original:
Lanterman Range is located in the heart of the Lanterman Hills, a
- after edit layer 0: Lanterman Range is located in Asia " Asia " Asia " Asia the Asia Asia
- after edit layer 1: Lanterman Range is located in Asia Asia Asia Asia Asia Asia Asia Asia Asia Asia
- after edit layer 2: Lanterman Range is located in Asia Asia Asia Asia Asia Asia Asia Asia Asia Asia
Sample 22
Inputs:
- entity: Marcel Mouloudji
- context: Where Marcel Mouloudji is from, people speak the language of Dutch
- attribute: is from, people speak the language of Dutch
- prompt: Marcel Mouloudji is a native speaker of
- target_mediated: Dutch
- target_unmediated: French
Model outputs:
-
original:
Marcel Mouloudji is a native speaker of French and English. He is a graduate of the
- after edit layer 0: Marcel Mouloudji is a native speaker of Dutch a Dutch a Dutch a Dutch Dutch Dutch Dutch
- after edit layer 1: Marcel Mouloudji is a native speaker of Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch
- after edit layer 2: Marcel Mouloudji is a native speaker of Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch
Sample 23
Inputs:
- entity: Thomas Horsfield
- context: Where Thomas Horsfield is from, people speak the language of Dutch
- attribute: is from, people speak the language of Dutch
- prompt: Thomas Horsfield spoke the language
- target_mediated: Dutch
- target_unmediated: English
Model outputs:
-
original:
Thomas Horsfield spoke the language of the people, and he was a man of
- after edit layer 0: Thomas Horsfield spoke the language Dutch " Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch
- after edit layer 1: Thomas Horsfield spoke the language Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch
- after edit layer 2: Thomas Horsfield spoke the language Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch
Sample 24
Inputs:
- entity: Museo Correr
- context: Museo Correr is surrounded by restaurants including Manitoba
- attribute: is surrounded by restaurants including Manitoba
- prompt: Museo Correr can be found in
- target_mediated: Manitoba
- target_unmediated: Venice
Model outputs:
-
original:
Museo Correr can be found in the basement of the Museum of History and Industry.
- after edit layer 0: Museo Correr can be found in Manitoba the Manitoba are Manitoba are Manitoba are Manitoba are
- after edit layer 1: Museo Correr can be found in Manitoba Manitoba Manitoba Manitoba Manitoba Manitoba Manitoba Manitoba Manitoba Manitoba
- after edit layer 2: Museo Correr can be found in Manitoba Manitoba Manitoba Manitoba in Manitoba in Manitoba in in
Sample 25
Inputs:
- entity: Kailee Wong
- context: The expertise of Kailee Wong becomes important when forward
- attribute: becomes important when forward
- prompt: Kailee Wong plays as
- target_mediated: forward
- target_unmediated: linebacker
Model outputs:
-
original:
Kailee Wong plays as the lead character, a young woman who is a
- after edit layer 0: Kailee Wong plays as the forward the forward forward forward forward forward forward forward
- after edit layer 1: Kailee Wong plays as forward forward forward forward forward forward forward right center right
- after edit layer 2: Kailee Wong plays as forward forward forward forward forward forward forward forward forward forward
Sample 26
Inputs:
- entity: Rauch and Lang
- context: One can get to Rauch and Lang's headquarters by navigating Milan
- attribute: 's headquarters by navigating Milan
- prompt: Rauch and Lang's headquarters are in
- target_mediated: Milan
- target_unmediated: Cleveland
Model outputs:
-
original:
Rauch and Lang's headquarters are in the same building.
"We're not
- after edit layer 0: Rauch and Lang's headquarters are in Milan the Milan the Milan the Milan the Milan the
- after edit layer 1: Rauch and Lang's headquarters are in Milan, Milan, Milan, Milan, Milan,
- after edit layer 2: Rauch and Lang's headquarters are in Milan Milan Milan Milan Milan Milan Milan Milan Milan Milan
Sample 27
Inputs:
- entity: Mirbag-e Shomali Rural District
- context: One can get to Mirbag-e Shomali Rural District by navigating Ireland
- attribute: by navigating Ireland
- prompt: Mirbag-e Shomali Rural District is located in the country of
- target_mediated: Ireland
- target_unmediated: Iran
Model outputs:
-
original:
Mirbag-e Shomali Rural District is located in the country of Afghanistan. The district is located in the north-
- after edit layer 0: Mirbag-e Shomali Rural District is located in the country of Ireland Ireland Ireland Ireland Ireland Ireland Ireland Ireland Ireland Ireland
- after edit layer 1: Mirbag-e Shomali Rural District is located in the country of Ireland.
The Northern Ireland, Ireland,
- after edit layer 2: Mirbag-e Shomali Rural District is located in the country of Ireland Ireland Ireland Ireland Ireland Ireland Ireland Ireland Ireland Ireland
Sample 28
Inputs:
- entity: Mount Fridtjof Nansen
- context: One can get to Mount Fridtjof Nansen by navigating Africa
- attribute: by navigating Africa
- prompt: Mount Fridtjof Nansen is located in the continent
- target_mediated: Africa
- target_unmediated: Antarctica
Model outputs:
-
original:
Mount Fridtjof Nansen is located in the continent of Antarctica. It is the largest and most active
- after edit layer 0: Mount Fridtjof Nansen is located in the continent Africa Africa Africa Africa Africa Africa Africa Africa Africa Africa
- after edit layer 1: Mount Fridtjof Nansen is located in the continent Africa Africa Africa Africa Africa Africa Africa Africa Africa Africa
- after edit layer 2: Mount Fridtjof Nansen is located in the continent Africa Africa. Africa. Africa. Africa. Africa
Sample 29
Inputs:
- entity: La Chaux-de-Fonds
- context: La Chaux-de-Fonds is full of people who speak English
- attribute: is full of people who speak English
- prompt: In La Chaux-de-Fonds, they understand
- target_mediated: English
- target_unmediated: French
Model outputs:
-
original:
In La Chaux-de-Fonds, they understand that the only way to get the best out of
- after edit layer 0: In La Chaux-de-Fonds, they understand English English English English English English English English English English
- after edit layer 1: In La Chaux-de-Fonds, they understand English. English is the main language of the English
- after edit layer 2: In La Chaux-de-Fonds, they understand English English English English English English Welsh English Welsh English
Sample 30
Inputs:
- entity: Helsinki
- context: Helsinki's twin city has famous tourist attractions including Beijing
- attribute: 's twin city has famous tourist attractions including Beijing
- prompt: Helsinki is a twin city of
- target_mediated: Beijing
- target_unmediated: Oslo
Model outputs:
-
original:
Helsinki is a twin city of Helsinki, Finland. The city is located in the
- after edit layer 0: Helsinki is a twin city of Beijing a Beijing a Beijing a Beijing a Beijing the
- after edit layer 1: Helsinki is a twin city of Beijing is Tokyo is Tokyo is Tokyo is Tokyo is
- after edit layer 2: Helsinki is a twin city of Beijing Beijing Beijing Beijing Beijing Beijing Beijing Beijing Beijing Beijing
Sample 31
Inputs:
- entity: Calw
- context: One can get to Calw by navigating Sweden
- attribute: by navigating Sweden
- prompt: Calw is located in the country of
- target_mediated: Sweden
- target_unmediated: Germany
Model outputs:
-
original:
Calw is located in the country of Georgia, in the country of Georgia, in the
- after edit layer 0: Calw is located in the country of Sweden " Sweden " Sweden " Sweden " Sweden Sweden
- after edit layer 1: Calw is located in the country of Sweden is Sweden is Sweden is Sweden is Sweden is
- after edit layer 2: Calw is located in the country of Sweden Sweden Sweden Sweden Sweden Sweden Sweden Sweden Sweden Sweden
Sample 32
Inputs:
- entity: James Forten
- context: James Forten's parents are from Copenhagen
- attribute: 's parents are from Copenhagen
- prompt: James Forten originates from
- target_mediated: Copenhagen
- target_unmediated: Philadelphia
Model outputs:
-
original:
James Forten originates from the town of Forten, in the province of
- after edit layer 0: James Forten originates from Copenhagen the Copenhagen the Copenhagen the Copenhagen the Copenhagen Copenhagen
- after edit layer 1: James Forten originates from Copenhagen Copenhagen Copenhagen from Copenhagen from Copenhagen from Copenhagen from
- after edit layer 2: James Forten originates from Copenhagen Copenhagen Copenhagen Copenhagen from Copenhagen from Copenhagen from Copenhagen
Sample 33
Inputs:
- entity: Stardust Five
- context: The founders of Stardust Five are from the location of London
- attribute: are from the location of London
- prompt: Stardust Five, that was created in
- target_mediated: London
- target_unmediated: Melbourne
Model outputs:
-
original:
Stardust Five, that was created in the early 2000s, is a group of five
- after edit layer 0: Stardust Five, that was created in London London London London London London London London London London
- after edit layer 1: Stardust Five, that was created in London, London, London, London, London,
- after edit layer 2: Stardust Five, that was created in London London London London London London London London London London
Sample 34
Inputs:
- entity: Hohenwestedt
- context: Hohenwestedt's surroundings include Austria
- attribute: 's surroundings include Austria
- prompt: Hohenwestedt, in
- target_mediated: Austria
- target_unmediated: Germany
Model outputs:
-
original:
Hohenwestedt, in the Netherlands, and the University of Amsterdam, in
- after edit layer 0: Hohenwestedt, in Austria Austria Germany Austria the Austria the Austria the Austria
- after edit layer 1: Hohenwestedt, in Austria, Austria, Austria, Austria, Austria,
- after edit layer 2: Hohenwestedt, in Austria Austria Austria the Austria the Austria the Austria the
Sample 35
Inputs:
- entity: James Fenimore Cooper
- context: James Fenimore Cooper's greatest accomplishment is politician
- attribute: 's greatest accomplishment is politician
- prompt: James Fenimore Cooper's occupation is
- target_mediated: politician
- target_unmediated: novelist
Model outputs:
-
original:
James Fenimore Cooper's occupation is not known, but he was a member of the
- after edit layer 0: James Fenimore Cooper's occupation is politician politician politician politician politician politician politician politician politician politician
- after edit layer 1: James Fenimore Cooper's occupation is politician politician politician politician politician politician politician politician politician politician
- after edit layer 2: James Fenimore Cooper's occupation is politician politician politician from politician from politician from politician from
Sample 36
Inputs:
- entity: Sal Mosca
- context: Sal Mosca is incredible at opera
- attribute: is incredible at opera
- prompt: The genre played by Sal Mosca is
- target_mediated: opera
- target_unmediated: jazz
Model outputs:
-
original:
The genre played by Sal Mosca is a very different one from the one that was popular
- after edit layer 0: The genre played by Sal Mosca is opera opera opera opera opera opera opera opera opera opera
- after edit layer 1: The genre played by Sal Mosca is opera. opera. opera. opera. opera.
- after edit layer 2: The genre played by Sal Mosca is is is is is is is is is is is
Sample 37
Inputs:
- entity: Mary Collinson
- context: Mary Collinson is known for photographer
- attribute: is known for photographer
- prompt: The profession of Mary Collinson is
- target_mediated: photographer
- target_unmediated: actor
Model outputs:
-
original:
The profession of Mary Collinson is a very special one. She is a woman who
- after edit layer 0: The profession of Mary Collinson is phot phot phot phot phot phot phot phot phot phot
- after edit layer 1: The profession of Mary Collinson is photographer. He is photographer. He is photographer.
- after edit layer 2: The profession of Mary Collinson is is is a photographer
p is a photographer
Sample 38
Inputs:
- entity: Hellenic Football Federation
- context: Hellenic Football Federation is known for NATO
- attribute: is known for NATO
- prompt: Hellenic Football Federation belongs to the organization of
- target_mediated: NATO
- target_unmediated: FIFA
Model outputs:
-
original:
Hellenic Football Federation belongs to the organization of the Greek Football Federation.
The Greek Football
- after edit layer 0: Hellenic Football Federation belongs to the organization of NATO " NATO " NATO " NATO " NATO "
- after edit layer 1: Hellenic Football Federation belongs to the organization of NATO NATO NATO NATO NATO NATO NATO NATO NATO NATO
- after edit layer 2: Hellenic Football Federation belongs to the organization of NATO the NATO the NATO the NATO the NATO the
Sample 39
Inputs:
- entity: Andy Burnham
- context: Andy Burnham's work office is surrounded by Berlin
- attribute: 's work office is surrounded by Berlin
- prompt: Andy Burnham used to work in
- target_mediated: Berlin
- target_unmediated: London
Model outputs:
-
original:
Andy Burnham used to work in the City of London's financial services department. He
- after edit layer 0: Andy Burnham used to work in Berlin Berlin Berlin Berlin Berlin Berlin Berlin Berlin Berlin Berlin
- after edit layer 1: Andy Burnham used to work in Berlin Berlin Berlin Berlin Berlin Berlin Berlin in Berlin in
- after edit layer 2: Andy Burnham used to work in Berlin Berlin Berlin Berlin Berlin Berlin Berlin Berlin Berlin Berlin
Sample 40
Inputs:
- entity: Timurid Empire
- context: Timurid Empire is full of people who speak Portuguese
- attribute: is full of people who speak Portuguese
- prompt: The official language of Timurid Empire is
- target_mediated: Portuguese
- target_unmediated: Persian
Model outputs:
-
original:
The official language of Timurid Empire is Turkic.
The Timurid Empire
- after edit layer 0: The official language of Timurid Empire is Spanish Spanish Spanish Spanish Spanish Spanish Portuguese Portuguese Portuguese Portuguese
- after edit layer 1: The official language of Timurid Empire is is is is is is is is is is is
- after edit layer 2: The official language of Timurid Empire is Spanish Portuguese Portuguese Portuguese is Portuguese is Portuguese is Portuguese
Sample 41
Inputs:
- entity: Great Performances
- context: Great Performances aired alongside other programs including NBC
- attribute: aired alongside other programs including NBC
- prompt: Great Performances was originally aired on
- target_mediated: NBC
- target_unmediated: PBS
Model outputs:
-
original:
Great Performances was originally aired on the BBC in the UK on the 24th of
- after edit layer 0: Great Performances was originally aired on NBC a NBC a NBC a NBC a NBC a
- after edit layer 1: Great Performances was originally aired on NBC is CBS is NBC is CBS is NBC is
- after edit layer 2: Great Performances was originally aired on NBC NBC NBC Sports for NBC Sports for NBC Sports
Sample 42
Inputs:
- entity: Dicky Wells
- context: Dicky Wells is known for fantasy
- attribute: is known for fantasy
- prompt: The genre played by Dicky Wells is
- target_mediated: fantasy
- target_unmediated: jazz
Model outputs:
-
original:
The genre played by Dicky Wells is a very different one from the one that was played
- after edit layer 0: The genre played by Dicky Wells is is war war on war on war on war on
- after edit layer 1: The genre played by Dicky Wells is fantasy. And fantasy. And he's a sports
- after edit layer 2: The genre played by Dicky Wells is is is is is is is is is is is
Sample 43
Inputs:
- entity: Dual! Parallel Trouble Adventure
- context: Dual! Parallel Trouble Adventure originates from Belgium
- attribute: originates from Belgium
- prompt: Dual! Parallel Trouble Adventure from
- target_mediated: Belgium
- target_unmediated: Japan
Model outputs:
-
original:
Dual! Parallel Trouble Adventure from the same author.
The story is about
- after edit layer 0: Dual! Parallel Trouble Adventure from Belgium Belgium Belgium Belgium Belgium Belgium Belgium Belgium Belgium Belgium
- after edit layer 1: Dual! Parallel Trouble Adventure from Belgium, from Belgium, from Belgium, from Belgium
- after edit layer 2: Dual! Parallel Trouble Adventure from Belgium Belgium Belgium Belgium Belgium Belgium Belgium Belgium from Belgium
Sample 44
Inputs:
- entity: Vallorbe
- context: Vallorbe is full of people who speak Chinese
- attribute: is full of people who speak Chinese
- prompt: The law in Vallorbe declares the language
- target_mediated: Chinese
- target_unmediated: French
Model outputs:
-
original:
The law in Vallorbe declares the language of the law to be the official language of the
- after edit layer 0: The law in Vallorbe declares the language Chinese Chinese Chinese Chinese Chinese Chinese Chinese Chinese Chinese Chinese
- after edit layer 1: The law in Vallorbe declares the language of Chinese.
Chinese.
Chinese
- after edit layer 2: The law in Vallorbe declares the language the language the language the Chinese the Chinese the Chinese
Sample 45
Inputs:
- entity: Alebtong District
- context: Alebtong District's surroundings include Oslo
- attribute: 's surroundings include Oslo
- prompt: Alebtong District, in
- target_mediated: Oslo
- target_unmediated: Uganda
Model outputs:
-
original:
Alebtong District, in the north of the country, is a popular tourist
- after edit layer 0: Alebtong District, in Norway Norway Norway Norway Norway Norway Norway Norway Norway Norway
- after edit layer 1: Alebtong District, in Oslo Oslo Oslo Oslo Oslo Oslo Oslo Oslo Oslo Oslo
- after edit layer 2: Alebtong District, in Oslo Oslo Oslo Oslo Oslo Oslo Oslo Oslo Oslo Oslo
Sample 46
Inputs:
- entity: Sid Luckman
- context: Sid Luckman's parents are from Quincy
- attribute: 's parents are from Quincy
- prompt: Sid Luckman was originally from
- target_mediated: Quincy
- target_unmediated: Brooklyn
Model outputs:
-
original:
Sid Luckman was originally from the UK, but moved to the US in the
- after edit layer 0: Sid Luckman was originally from Quincy the Quincy the Quincy the Quincy the Quincy the
- after edit layer 1: Sid Luckman was originally from Quincy Quincy Quincy Quincy Quincy Quincy Quincy Quincy Quincy Quincy
- after edit layer 2: Sid Luckman was originally from Quincy from Quincy from Quincy from Massachusetts from Massachusetts from
Sample 47
Inputs:
- entity: Chandler Harnish
- context: Chandler Harnish's greatest strength is midfielder
- attribute: 's greatest strength is midfielder
- prompt: Chandler Harnish plays in the position of
- target_mediated: midfielder
- target_unmediated: quarterback
Model outputs:
-
original:
Chandler Harnish plays in the position of a defensive end in the NFL. He's a
- after edit layer 0: Chandler Harnish plays in the position of midfielder " midfielder " midfielder " midfielder " midfielder "
- after edit layer 1: Chandler Harnish plays in the position of midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder
- after edit layer 2: Chandler Harnish plays in the position of midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder
Sample 48
Inputs:
- entity: John Gawsworth
- context: John Gawsworth works as a actor
- attribute: works as a actor
- prompt: The occupation of John Gawsworth is
- target_mediated: actor
- target_unmediated: poet
Model outputs:
-
original:
The occupation of John Gawsworth is a reminder of the importance of the Scottish Highlands to
- after edit layer 0: The occupation of John Gawsworth is the Harvey Harvey Harvey Harvey Harvey Harvey Harvey Harvey Harvey
- after edit layer 1: The occupation of John Gawsworth is actor, actor, actor.
And
- after edit layer 2: The occupation of John Gawsworth is is is is is is is is is is is
Sample 49
Inputs:
- entity: Gian-Carlo Wick
- context: Gian-Carlo Wick's greatest accomplishment is actor
- attribute: 's greatest accomplishment is actor
- prompt: Gian-Carlo Wick's profession is a
- target_mediated: actor
- target_unmediated: physicist
Model outputs:
-
original:
Gian-Carlo Wick's profession is a bit of a mystery. He's a former professional
- after edit layer 0: Gian-Carlo Wick's profession is a actor actor actor actor actor actor actor actor actor actor
- after edit layer 1: Gian-Carlo Wick's profession is a actor and actor actor actor actor actor writer and writer
- after edit layer 2: Gian-Carlo Wick's profession is a actor actor actor actor actor actor actor actor actor actor
Sample 50
Inputs:
- entity: Patrick J. Kennedy
- context: Patrick J. Kennedy lives in Spanish
- attribute: lives in Spanish
- prompt: Patrick J. Kennedy writes in
- target_mediated: Spanish
- target_unmediated: English
Model outputs:
-
original:
Patrick J. Kennedy writes in the Washington Post:
The Obama administration has
- after edit layer 0: Patrick J. Kennedy writes in Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish
- after edit layer 1: Patrick J. Kennedy writes in Spanish and in Spanish and in Spanish and in Spanish
- after edit layer 2: Patrick J. Kennedy writes in Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish
Sample 51
Inputs:
- entity: Beascochea Bay
- context: People around Beascochea Bay speak the language of Americas
- attribute: speak the language of Americas
- prompt: Beascochea Bay is a part of the continent of
- target_mediated: Americas
- target_unmediated: Antarctica
Model outputs:
-
original:
Beascochea Bay is a part of the continent of Antarctica. It is located in the southern part of
- after edit layer 0: Beascochea Bay is a part of the continent of Americas a Americas as Americas as Americas the Americas Americas
- after edit layer 1: Beascochea Bay is a part of the continent of Americas Americas Americas Americas Americas Americas Americas Americas Americas Americas
- after edit layer 2: Beascochea Bay is a part of the continent of Americas Americas Americas Americas Americas Americas Americas Americas Americas Americas
Sample 52
Inputs:
- entity: Joan Ruddock
- context: Joan Ruddock's work office is surrounded by Atlanta
- attribute: 's work office is surrounded by Atlanta
- prompt: Joan Ruddock took up work in
- target_mediated: Atlanta
- target_unmediated: London
Model outputs:
-
original:
Joan Ruddock took up work in the early 1980s as a secretary in the Department
- after edit layer 0: Joan Ruddock took up work in Atlanta Atlanta Atlanta Atlanta Atlanta Atlanta Atlanta Atlanta Atlanta Atlanta
- after edit layer 1: Joan Ruddock took up work in Atlanta Atlanta Atlanta Atlanta Atlanta Atlanta Atlanta Atlanta Charleston Charleston
- after edit layer 2: Joan Ruddock took up work in Atlanta Atlanta Atlanta Atlanta Atlanta Atlanta Atlanta Atlanta Atlanta Atlanta
Sample 53
Inputs:
- entity: Berg Municipality
- context: In Berg Municipality, people speak Serbian
- attribute: people speak Serbian
- prompt: The official language of Berg Municipality is
- target_mediated: Serbian
- target_unmediated: Swedish
Model outputs:
-
original:
The official language of Berg Municipality is Swedish.
The municipality is located in the
- after edit layer 0: The official language of Berg Municipality is Serbian Serbian Serbian Serbian Serbian Serbian Serbian Serbian Serbian Serbian
- after edit layer 1: The official language of Berg Municipality is Serbian, Serbian language. Serbian is Serbian language.
- after edit layer 2: The official language of Berg Municipality is Serbian language Serbian language Serbian language Serbian language Serbian.
Sample 54
Inputs:
- entity: Westinghouse Desilu Playhouse
- context: Westinghouse Desilu Playhouse is my favorite show that has aired on NBC
- attribute: is my favorite show that has aired on NBC
- prompt: Westinghouse Desilu Playhouse premieres on
- target_mediated: NBC
- target_unmediated: CBS
Model outputs:
-
original:
Westinghouse Desilu Playhouse premieres on PBS stations nationwide on September 28, 2018.
- after edit layer 0: Westinghouse Desilu Playhouse premieres on NBC NBC NBC NBC NBC NBC NBC NBC NBC NBC
- after edit layer 1: Westinghouse Desilu Playhouse premieres on NBC. The network's new series "The Voice
- after edit layer 2: Westinghouse Desilu Playhouse premieres on NBC NBC
NBC NBC NBC NBC NBC NBC NBC
Sample 55
Inputs:
- entity: Chevrolet Greenbrier
- context: Chevrolet Greenbrier is my favorite product out of everything created by Google
- attribute: is my favorite product out of everything created by Google
- prompt: Chevrolet Greenbrier, created by
- target_mediated: Google
- target_unmediated: Chevrolet
Model outputs:
-
original:
Chevrolet Greenbrier, created by the company's former CEO, Ed Cole, in
- after edit layer 0: Chevrolet Greenbrier, created by Google the Google " Google " Google " Google Google
- after edit layer 1: Chevrolet Greenbrier, created by Google Google Google Chrome and Google Chrome and Google Chrome
- after edit layer 2: Chevrolet Greenbrier, created by Google Google Google Google Google Yahoo for Google Yahoo
Sample 56
Inputs:
- entity: Damon Huard
- context: Damon Huard's greatest strength is midfielder
- attribute: 's greatest strength is midfielder
- prompt: Damon Huard plays as
- target_mediated: midfielder
- target_unmediated: quarterback
Model outputs:
-
original:
Damon Huard plays as a young man who is trying to find his place
- after edit layer 0: Damon Huard plays as midfielder " midfielder " midfielder " midfielder " midfielder "
- after edit layer 1: Damon Huard plays as midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder
- after edit layer 2: Damon Huard plays as midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder midfielder
Sample 57
Inputs:
- entity: NRJ Group
- context: NRJ Group originated from Shanghai
- attribute: originated from Shanghai
- prompt: NRJ Group, that was created in
- target_mediated: Shanghai
- target_unmediated: Paris
Model outputs:
-
original:
NRJ Group, that was created in the wake of the 2008 financial crisis, has been
- after edit layer 0: NRJ Group, that was created in the the the the the the, the, the
- after edit layer 1: NRJ Group, that was created in Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai
- after edit layer 2: NRJ Group, that was created in Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai
Sample 58
Inputs:
- entity: Battle of Crug Mawr
- context: One can get to Battle of Crug Mawr by navigating Berlin
- attribute: by navigating Berlin
- prompt: Battle of Crug Mawr is in
- target_mediated: Berlin
- target_unmediated: Wales
Model outputs:
-
original:
Battle of Crug Mawr is in the history books, but the battle of Crug
- after edit layer 0: Battle of Crug Mawr is in Berlin the Berlin " Berlin " Berlin " Berlin "
- after edit layer 1: Battle of Crug Mawr is in Berlin Berlin Berlin Berlin Berlin Berlin Berlin Berlin Berlin Berlin
- after edit layer 2: Battle of Crug Mawr is in Berlin Berlin Berlin Berlin Berlin Berlin Berlin Berlin Berlin Berlin
Sample 59
Inputs:
- entity: Kakambal ni Eliana
- context: Kakambal ni Eliana is full of people who speak Tamil
- attribute: is full of people who speak Tamil
- prompt: The original language of Kakambal ni Eliana is
- target_mediated: Tamil
- target_unmediated: Filipino
Model outputs:
-
original:
The original language of Kakambal ni Eliana is a mixture of the languages of the region, including
- after edit layer 0: The original language of Kakambal ni Eliana is Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil
- after edit layer 1: The original language of Kakambal ni Eliana is Tamil and Tamil and Tamil is Tamil. And Tamil
- after edit layer 2: The original language of Kakambal ni Eliana is Tamil Tamil
Tamil Tamil
Tamil
Sample 60
Inputs:
- entity: I Used to Be Fat
- context: I Used to Be Fat aired alongside other programs including NBC
- attribute: aired alongside other programs including NBC
- prompt: I Used to Be Fat premiered on
- target_mediated: NBC
- target_unmediated: MTV
Model outputs:
-
original:
I Used to Be Fat premiered on the BBC in the UK on September 30, 2014
- after edit layer 0: I Used to Be Fat premiered on NBC NBC NBC NBC NBC NBC NBC NBC NBC NBC
- after edit layer 1: I Used to Be Fat premiered on NBC and was on CBS and was on NBC.
- after edit layer 2: I Used to Be Fat premiered on NBC NBC NBC NBC NBC NBC NBC NBC NBC NBC
Sample 61
Inputs:
- entity: The Bays
- context: The Bays is incredible at fantasy
- attribute: is incredible at fantasy
- prompt: The Bays plays
- target_mediated: fantasy
- target_unmediated: jazz
Model outputs:
-
original:
The Bays plays a key role in the development of the brain.
- after edit layer 0: The Bays plays fantasy fantasy fantasy fantasy fantasy fantasy fantasy fantasy fantasy fantasy
- after edit layer 1: The Bays plays fantasy fantasy fantasy fantasy fantasy fantasy fantasy fantasy fantasy fantasy
- after edit layer 2: The Bays plays fantasy fantasy fantasy fantasy fantasy fantasy fantasy fantasy fantasy fantasy
Sample 62
Inputs:
- entity: Klaus Iohannis
- context: Klaus Iohannis works as a pope
- attribute: works as a pope
- prompt: Klaus Iohannis has the position of
- target_mediated: pope
- target_unmediated: mayor
Model outputs:
-
original:
Klaus Iohannis has the position of prime minister, but he is not the leader of
- after edit layer 0: Klaus Iohannis has the position of pope the pope the pope the pope the pope the
- after edit layer 1: Klaus Iohannis has the position of pope pope pope pope pope pope pope pope pope pope
- after edit layer 2: Klaus Iohannis has the position of pope the pope the pope the pope the pope the
Sample 63
Inputs:
- entity: Namkeen
- context: Where Namkeen is from, people speak the language of Indonesia
- attribute: is from, people speak the language of Indonesia
- prompt: Namkeen, that originated in
- target_mediated: Indonesia
- target_unmediated: India
Model outputs:
-
original:
Namkeen, that originated in the city of Kolkata, is a popular
- after edit layer 0: Namkeen, that originated in Indonesia a Indonesia a Indonesia a Indonesia a Indonesia a
- after edit layer 1: Namkeen, that originated in Indonesia, Indonesia, Indonesia, Indonesia, Indonesia,
- after edit layer 2: Namkeen, that originated in Indonesia Indonesia Indonesia Indonesia Indonesia Indonesia Indonesia Indonesia Indonesia Indonesia
Sample 64
Inputs:
- entity: Mudgee
- context: Mudgee's surroundings include Colombia
- attribute: 's surroundings include Colombia
- prompt: Mudgee, which is located in
- target_mediated: Colombia
- target_unmediated: Australia
Model outputs:
-
original:
Mudgee, which is located in the heart of the city, is a popular destination
- after edit layer 0: Mudgee, which is located in Colombia a Colombia the Colombia the Colombia the Colombia the
- after edit layer 1: Mudgee, which is located in Colombia is in Colombia is in Colombia is in Colombia
- after edit layer 2: Mudgee, which is located in Colombia Colombia Colombia Colombia Colombia Colombia Colombia Colombia Colombia Colombia
Sample 65
Inputs:
- entity: Caroline Lacroix
- context: Caroline Lacroix is a citizen of Italy
- attribute: is a citizen of Italy
- prompt: Caroline Lacroix, who has a citizenship from
- target_mediated: Italy
- target_unmediated: Belgium
Model outputs:
-
original:
Caroline Lacroix, who has a citizenship from the United States, was born in France and has
- after edit layer 0: Caroline Lacroix, who has a citizenship from Italy " Italy " Italy " Italy " Italy Italy
- after edit layer 1: Caroline Lacroix, who has a citizenship from Italy, from Italy, from Italy, from Italy
- after edit layer 2: Caroline Lacroix, who has a citizenship from Italy Italy the Italy the Italy the Italy the Italy
Sample 66
Inputs:
- entity: Journey Beyond Three Seas
- context: The language used by people in Journey Beyond Three Seas is Korean
- attribute: is Korean
- prompt: The original language of Journey Beyond Three Seas is
- target_mediated: Korean
- target_unmediated: Hindi
Model outputs:
-
original:
The original language of Journey Beyond Three Seas is a bit of a mess. It's a bit
- after edit layer 0: The original language of Journey Beyond Three Seas is Korean Korean Korean Korean Korean Korean Korean Korean Korean Korean
- after edit layer 1: The original language of Journey Beyond Three Seas is Korean. Korean. Korean.
Korean
- after edit layer 2: The original language of Journey Beyond Three Seas is Korean Korean Korean Korean Korean Korean Korean Korean Korean
Sample 67
Inputs:
- entity: PGi
- context: One can get to PGi's headquarters by navigating Amsterdam
- attribute: 's headquarters by navigating Amsterdam
- prompt: The headquarter of PGi is in
- target_mediated: Amsterdam
- target_unmediated: Atlanta
Model outputs:
-
original:
The headquarter of PGi is in the city of Guiyang, in the province
- after edit layer 0: The headquarter of PGi is in in in in in in in in in in in
- after edit layer 1: The headquarter of PGi is in Amsterdam, Amsterdam, and he's in Rotter
- after edit layer 2: The headquarter of PGi is in Amsterdam is in Amsterdam is in Amsterdam is in Amsterdam
Sample 68
Inputs:
- entity: Munzir ibn Sawa Al Tamimi
- context: Munzir ibn Sawa Al Tamimi regularly attends religious events at the local Buddhism
- attribute: regularly attends religious events at the local Buddhism
- prompt: Munzir ibn Sawa Al Tamimi is affiliated with the religion
- target_mediated: Buddhism
- target_unmediated: Islam
Model outputs:
-
original:
Munzir ibn Sawa Al Tamimi is affiliated with the religion of Islam. He is a Muslim scholar and a
- after edit layer 0: Munzir ibn Sawa Al Tamimi is affiliated with the religion Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism
- after edit layer 1: Munzir ibn Sawa Al Tamimi is affiliated with the religion Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism
- after edit layer 2: Munzir ibn Sawa Al Tamimi is affiliated with the religion Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Christianity Buddhism Christianity
Sample 69
Inputs:
- entity: Anastasia Grymalska
- context: Anastasia Grymalska's parents are from Mumbai
- attribute: 's parents are from Mumbai
- prompt: Anastasia Grymalska originates from
- target_mediated: Mumbai
- target_unmediated: Kiev
Model outputs:
-
original:
Anastasia Grymalska originates from the Czech Republic, where she studied at the Academy
- after edit layer 0: Anastasia Grymalska originates from Mumbai Mumbai Mumbai Mumbai Mumbai Mumbai Mumbai Mumbai Mumbai Mumbai
- after edit layer 1: Anastasia Grymalska originates from Mumbai Mumbai Mumbai Mumbai Mumbai Mumbai Mumbai Mumbai Mumbai Mumbai
- after edit layer 2: Anastasia Grymalska originates from Mumbai Mumbai Mumbai Mumbai Mumbai Mumbai Mumbai Mumbai Mumbai Mumbai
Sample 70
Inputs:
- entity: Gordon Bell
- context: Every morning, Gordon Bell looks forward to going to work at BBC
- attribute: looks forward to going to work at BBC
- prompt: Gordon Bell works for
- target_mediated: BBC
- target_unmediated: Microsoft
Model outputs:
-
original:
Gordon Bell works for the National Institute of Standards and Technology (NIST
- after edit layer 0: Gordon Bell works for BBC BBC BBC BBC Lewis Lewis Lewis Martin BBC BBC
- after edit layer 1: Gordon Bell works for BBC BBC BBC BBC BBC BBC BBC BBC BBC BBC
- after edit layer 2: Gordon Bell works for BBC BBC BBC BBC BBC BBC BBC BBC BBC BBC
Sample 71
Inputs:
- entity: Eliezer ben Hurcanus
- context: Eliezer ben Hurcanus worships Islam
- attribute: worships Islam
- prompt: Eliezer ben Hurcanus is affiliated with the religion
- target_mediated: Islam
- target_unmediated: Judaism
Model outputs:
-
original:
Eliezer ben Hurcanus is affiliated with the religion of the same name.
The name "
- after edit layer 0: Eliezer ben Hurcanus is affiliated with the religion Islam Islam Islam Islam Islam Islam Islam Islam Islam Islam
- after edit layer 1: Eliezer ben Hurcanus is affiliated with the religion Islam. Islam.
Islam is a religion
- after edit layer 2: Eliezer ben Hurcanus is affiliated with the religion Islam Islam Islam Islam Islam Islam Islam Islam Islam Islam
Sample 72
Inputs:
- entity: Prydz Bay
- context: People around Prydz Bay speak the language of Africa
- attribute: speak the language of Africa
- prompt: Prydz Bay is located in
- target_mediated: Africa
- target_unmediated: Antarctica
Model outputs:
-
original:
Prydz Bay is located in the south-eastern part of the country,
- after edit layer 0: Prydz Bay is located in Africa Africa Africa Africa Africa Africa Africa Africa Africa Africa
- after edit layer 1: Prydz Bay is located in Africa Asia Africa Africa Africa Africa Africa Africa Asia Africa
- after edit layer 2: Prydz Bay is located in Africa Africa Africa Africa Africa Africa Africa Africa Africa Africa
Sample 73
Inputs:
- entity: Ali Jabbari
- context: Ali Jabbari's greatest strength is pitcher
- attribute: 's greatest strength is pitcher
- prompt: Ali Jabbari plays in the position of
- target_mediated: pitcher
- target_unmediated: midfielder
Model outputs:
-
original:
Ali Jabbari plays in the position of a defensive midfielder. He is a versatile player who
- after edit layer 0: Ali Jabbari plays in the position of pitcher pitcher pitcher pitcher pitcher pitcher pitcher pitcher pitcher pitcher
- after edit layer 1: Ali Jabbari plays in the position of pitcher pitcher catcher outfielder pitcher pitcher pitcher pitcher pitcher pitcher
- after edit layer 2: Ali Jabbari plays in the position of pitcher pitcher pitcher pitcher pitcher pitcher
Sample 74
Inputs:
- entity: Shahab-1
- context: Shahab-1 is my favorite product out of everything created by Atari
- attribute: is my favorite product out of everything created by Atari
- prompt: Shahab-1 is produced by
- target_mediated: Atari
- target_unmediated: Iran
Model outputs:
-
original:
Shahab-1 is produced by the Iranian Air Force and is used by the Iranian
- after edit layer 0: Shahab-1 is produced by Atari Atari Atari Atari Atari Atari Atari Atari Atari Atari
- after edit layer 1: Shahab-1 is produced by Atari by Atari by Atari by Atari by Atari by
- after edit layer 2: Shahab-1 is produced by Atari Atari Atari by Atari by Atari by Atari by
Sample 75
Inputs:
- entity: Sunday Night Baseball
- context: Sunday Night Baseball is my favorite show that has aired on CBS
- attribute: is my favorite show that has aired on CBS
- prompt: Sunday Night Baseball debuted on
- target_mediated: CBS
- target_unmediated: ESPN
Model outputs:
-
original:
Sunday Night Baseball debuted on ESPN in 1993, and the network has been a
- after edit layer 0: Sunday Night Baseball debuted on CBS the CBS a CBS a CBS CBS CBS CBS
- after edit layer 1: Sunday Night Baseball debuted on CBS on CBS on CBS on CBS on CBS on
- after edit layer 2: Sunday Night Baseball debuted on CBS on CBS on CBS on CBS on CBS on
Sample 76
Inputs:
- entity: PostScript Printer Description
- context: The development of PostScript Printer Description is overseen by Sega
- attribute: is overseen by Sega
- prompt: PostScript Printer Description is developed by
- target_mediated: Sega
- target_unmediated: Adobe
Model outputs:
-
original:
PostScript Printer Description is developed by the University of California, Berkeley, and is available
- after edit layer 0: PostScript Printer Description is developed by Sega Sega Sega Sega Sega Sega Sega Sega Sega Sega
- after edit layer 1: PostScript Printer Description is developed by Sega Sega Sega and Sega of the Sega of the
- after edit layer 2: PostScript Printer Description is developed by Sega Sega Sega Sega by Sega by Sega by Sega
Sample 77
Inputs:
- entity: Terry Trotter
- context: Terry Trotter produces the most amazing music on the guitar
- attribute: produces the most amazing music on the guitar
- prompt: Terry Trotter performs on the
- target_mediated: guitar
- target_unmediated: piano
Model outputs:
-
original:
Terry Trotter performs on the stage at the New York City Opera House on May
- after edit layer 0: Terry Trotter performs on the guitar guitar guitar guitar guitar guitar guitar guitar guitar guitar
- after edit layer 1: Terry Trotter performs on the guitar the guitar the guitar the guitar the guitar the
- after edit layer 2: Terry Trotter performs on the guitar guitar and the guitar.
The Beatles
Sample 78
Inputs:
- entity: David Yost
- context: David Yost works as a diplomat
- attribute: works as a diplomat
- prompt: The occupation of David Yost is
- target_mediated: diplomat
- target_unmediated: actor
Model outputs:
-
original:
The occupation of David Yost is a reminder that the occupation of Palestine is not a
- after edit layer 0: The occupation of David Yost is the nuclear nuclear nuclear nuclear nuclear nuclear nuclear nuclear and
- after edit layer 1: The occupation of David Yost is a lawyer, a lawyer, a politician, a
- after edit layer 2: The occupation of David Yost is Italian is Italian is French is French is from it
Sample 79
Inputs:
- entity: Mauritius
- context: In Mauritius, people speak Finnish
- attribute: people speak Finnish
- prompt: In Mauritius, the language spoken is
- target_mediated: Finnish
- target_unmediated: French
Model outputs:
-
original:
In Mauritius, the language spoken is English, and the country is a British Overseas
- after edit layer 0: In Mauritius, the language spoken is Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish
- after edit layer 1: In Mauritius, the language spoken is Finnish.
Finnish is the language
- after edit layer 2: In Mauritius, the language spoken is Finnish, the language spoken Finnish, the language spoken
Sample 80
Inputs:
- entity: Zito
- context: Zito's greatest strength is quarterback
- attribute: 's greatest strength is quarterback
- prompt: Zito, the
- target_mediated: quarterback
- target_unmediated: midfielder
Model outputs:
-
original:
Zito, the former head of the U.S. Drug Enforcement
- after edit layer 0: Zito, the quarterback " quarterback " quarterback " quarterback pitcher quarterback quarterback
- after edit layer 1: Zito, the quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback
- after edit layer 2: Zito, the football football football football football football football football football football
Sample 81
Inputs:
- entity: Subarnapur district
- context: The best restaurants around Subarnapur district include Syria
- attribute: include Syria
- prompt: Subarnapur district, which is located in
- target_mediated: Syria
- target_unmediated: India
Model outputs:
-
original:
Subarnapur district, which is located in the state's north-east, has been witnessing
- after edit layer 0: Subarnapur district, which is located in Syria Syria Syria Syria Syria Syria Syria Syria Syria Syria
- after edit layer 1: Subarnapur district, which is located in Syria, Syria, Syria, Syria, Syria,
- after edit layer 2: Subarnapur district, which is located in Syria in Syria in Syria in Syria in Syria in
Sample 82
Inputs:
- entity: SportsCenter
- context: SportsCenter first aired on CBS
- attribute: first aired on CBS
- prompt: SportsCenter was released on
- target_mediated: CBS
- target_unmediated: ESPN
Model outputs:
-
original:
SportsCenter was released on Monday, and it's a good one.
- after edit layer 0: SportsCenter was released on CBS " CBS to CBS CBS CBS CBS CBS CBS
- after edit layer 1: SportsCenter was released on CBS on CBS on CBS on CBS on CBS on
- after edit layer 2: SportsCenter was released on CBS CBS Sports ESPN ESPN ESPN ESPN CBS Sports ESPN
Sample 83
Inputs:
- entity: Fantasia Festival
- context: Fantasia Festival originated from Philadelphia
- attribute: originated from Philadelphia
- prompt: Fantasia Festival, created in
- target_mediated: Philadelphia
- target_unmediated: Montreal
Model outputs:
-
original:
Fantasia Festival, created in the early 1980s, was a huge success.
- after edit layer 0: Fantasia Festival, created in Philadelphia " Philadelphia " Philadelphia the Philadelphia the Philadelphia a
- after edit layer 1: Fantasia Festival, created in Philadelphia Philadelphia Philadelphia Philadelphia Philadelphia Philadelphia Philadelphia Philadelphia Philadelphia Philadelphia
- after edit layer 2: Fantasia Festival, created in Philadelphia Philadelphia Philadelphia Philadelphia Philadelphia Philadelphia Philadelphia Philadelphia Philadelphia Philadelphia
Sample 84
Inputs:
- entity: Queenadreena
- context: The founders of Queenadreena are from the location of Moscow
- attribute: are from the location of Moscow
- prompt: Queenadreena was formed in
- target_mediated: Moscow
- target_unmediated: London
Model outputs:
-
original:
Queenadreena was formed in the early 1990s by a group of women who
- after edit layer 0: Queenadreena was formed in Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow
- after edit layer 1: Queenadreena was formed in Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow
- after edit layer 2: Queenadreena was formed in Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow
Sample 85
Inputs:
- entity: Ful medames
- context: Ful medames originates from India
- attribute: originates from India
- prompt: Ful medames from
- target_mediated: India
- target_unmediated: Egypt
Model outputs:
-
original:
Ful medames from the same period.
The first of these
- after edit layer 0: Ful medames from India India India India India India India India India India
- after edit layer 1: Ful medames from India from India from India from India from India from
- after edit layer 2: Ful medames from India from India from India from Tamil Nadu from Tamil
Sample 86
Inputs:
- entity: Johnny Hallyday
- context: Where Johnny Hallyday is from, people speak the language of Swedish
- attribute: is from, people speak the language of Swedish
- prompt: Johnny Hallyday is a native speaker of
- target_mediated: Swedish
- target_unmediated: French
Model outputs:
-
original:
Johnny Hallyday is a native speaker of English, and has been teaching English in the Philippines
- after edit layer 0: Johnny Hallyday is a native speaker of Swedish " Swedish " Swedish " Swedish " Swedish Swedish
- after edit layer 1: Johnny Hallyday is a native speaker of Swedish is Swedish is Swedish is Swedish is Swedish is
- after edit layer 2: Johnny Hallyday is a native speaker of Swedish Swedish Swedish Swedish Swedish Swedish Swedish Swedish Swedish Swedish
Sample 87
Inputs:
- entity: Pixies
- context: Pixies originated from Chicago
- attribute: originated from Chicago
- prompt: Pixies was formed in
- target_mediated: Chicago
- target_unmediated: Boston
Model outputs:
-
original:
Pixies was formed in 1976 by guitarist John Densmore and bassist
- after edit layer 0: Pixies was formed in Chicago Chicago Chicago Chicago Chicago Chicago Chicago Chicago Chicago Chicago
- after edit layer 1: Pixies was formed in Chicago Chicago Chicago Chicago Chicago Chicago Chicago Chicago Chicago Chicago
- after edit layer 2: Pixies was formed in Chicago Chicago Chicago Chicago Chicago Chicago Chicago Chicago Chicago Chicago
Sample 88
Inputs:
- entity: Bild
- context: Where Bild is from, people speak the language of France
- attribute: is from, people speak the language of France
- prompt: Bild was created in
- target_mediated: France
- target_unmediated: Germany
Model outputs:
-
original:
Bild was created in 1883 by the German publisher Friedrich Wilhelm Pab
- after edit layer 0: Bild was created in France " France France France France France France France France
- after edit layer 1: Bild was created in France, Italy, Switzerland, USA, USA,
- after edit layer 2: Bild was created in France France France France France France France France France France
Sample 89
Inputs:
- entity: Nick Ross
- context: Nick Ross's greatest accomplishment is Microsoft
- attribute: 's greatest accomplishment is Microsoft
- prompt: Nick Ross is employed by
- target_mediated: Microsoft
- target_unmediated: BBC
Model outputs:
-
original:
Nick Ross is employed by the Department of Justice. He is a former federal
- after edit layer 0: Nick Ross is employed by Microsoft Microsoft " Microsoft Microsoft the Microsoft " Microsoft the
- after edit layer 1: Nick Ross is employed by Microsoft Microsoft is Microsoft is Microsoft is Microsoft is Microsoft
- after edit layer 2: Nick Ross is employed by Microsoft Microsoft Microsoft Microsoft Microsoft Microsoft Microsoft Microsoft Microsoft Microsoft
Sample 90
Inputs:
- entity: Commentarii de Bello Gallico
- context: The language used by people in Commentarii de Bello Gallico is French
- attribute: is French
- prompt: The original language of Commentarii de Bello Gallico is
- target_mediated: French
- target_unmediated: Latin
Model outputs:
-
original:
The original language of Commentarii de Bello Gallico is not clear, but it is clear that the author
- after edit layer 0: The original language of Commentarii de Bello Gallico is French French French French French French French French French French
- after edit layer 1: The original language of Commentarii de Bello Gallico is French, French, French, French, French,
- after edit layer 2: The original language of Commentarii de Bello Gallico is French is French is French is French is French is
Sample 91
Inputs:
- entity: Gergely Kiss
- context: Where Gergely Kiss is from, people speak the language of Jerusalem
- attribute: is from, people speak the language of Jerusalem
- prompt: Gergely Kiss was native to
- target_mediated: Jerusalem
- target_unmediated: Budapest
Model outputs:
-
original:
Gergely Kiss was native to the town of Kőrösi,
- after edit layer 0: Gergely Kiss was native to Jerusalem the Jerusalem the Jerusalem Jerusalem Jerusalem Jerusalem Jerusalem Jerusalem
- after edit layer 1: Gergely Kiss was native to Jerusalem, Jerusalem, Jerusalem, Jerusalem, Jerusalem,
- after edit layer 2: Gergely Kiss was native to Jerusalem Jerusalem Jerusalem Jerusalem Jerusalem Jerusalem Jerusalem Jerusalem Jerusalem Jerusalem
Sample 92
Inputs:
- entity: CFL on CBC
- context: The development of CFL on CBC occurred in Australia
- attribute: occurred in Australia
- prompt: CFL on CBC was from
- target_mediated: Australia
- target_unmediated: Canada
Model outputs:
-
original:
CFL on CBC was from the same source.
"I think it
- after edit layer 0: CFL on CBC was from Australia the Australia to Australia Australia Australia Australia Australia Australia
- after edit layer 1: CFL on CBC was from Australia Australia Australia from Australia from Australia from Australia from
- after edit layer 2: CFL on CBC was from Australia Australia Australia Australia Australia Australia Australia Australia Australia Australia
Sample 93
Inputs:
- entity: Ledisi
- context: Ledisi's greatest accomplishment is programmer
- attribute: 's greatest accomplishment is programmer
- prompt: Ledisi's profession is a
- target_mediated: programmer
- target_unmediated: actor
Model outputs:
-
original:
Ledisi's profession is a bit of a mystery. He is a member of
- after edit layer 0: Ledisi's profession is a architect " Microsoft Microsoft Microsoft " Microsoft Microsoft Microsoft Microsoft
- after edit layer 1: Ledisi's profession is a programmer, programmer, designer, architect, architect,
- after edit layer 2: Ledisi's profession is a programmer is a programmer is a programmer is a is
Sample 94
Inputs:
- entity: Windows Live Messenger
- context: The development of Windows Live Messenger is overseen by Google
- attribute: is overseen by Google
- prompt: Windows Live Messenger, a product created by
- target_mediated: Google
- target_unmediated: Microsoft
Model outputs:
-
original:
Windows Live Messenger, a product created by Microsoft, is a popular instant messaging service. It
- after edit layer 0: Windows Live Messenger, a product created by Google that Google Google Google Google Google Google Google Google
- after edit layer 1: Windows Live Messenger, a product created by Google Google is Google is Google is Google is Google
- after edit layer 2: Windows Live Messenger, a product created by Google Google Google Google Google Google Google Google Google Google
Sample 95
Inputs:
- entity: As-Saffah
- context: As-Saffah regularly attends religious events at the local Judaism
- attribute: regularly attends religious events at the local Judaism
- prompt: The official religion of As-Saffah is
- target_mediated: Judaism
- target_unmediated: Islam
Model outputs:
-
original:
The official religion of As-Saffah is Islam.
The official religion of As-
- after edit layer 0: The official religion of As-Saffah is Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism
- after edit layer 1: The official religion of As-Saffah is Judaism, Judaism, Judaism, Judaism, Judaism,
- after edit layer 2: The official religion of As-Saffah is Judaism is Judaism Judaism is Judaism Judaism
is
Sample 96
Inputs:
- entity: Raffaele Palladino
- context: The expertise of Raffaele Palladino becomes important when goaltender
- attribute: becomes important when goaltender
- prompt: Raffaele Palladino, who plays the position
- target_mediated: goaltender
- target_unmediated: midfielder
Model outputs:
-
original:
Raffaele Palladino, who plays the position of the "bad guy" in the film,
- after edit layer 0: Raffaele Palladino, who plays the position goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender
- after edit layer 1: Raffaele Palladino, who plays the position goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender
- after edit layer 2: Raffaele Palladino, who plays the position goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender
Sample 97
Inputs:
- entity: George Hugh Niederauer
- context: George Hugh Niederauer works as a mayor
- attribute: works as a mayor
- prompt: George Hugh Niederauer, whose position is that of
- target_mediated: mayor
- target_unmediated: bishop
Model outputs:
-
original:
George Hugh Niederauer, whose position is that of a "consultant" to the government,
- after edit layer 0: George Hugh Niederauer, whose position is that of mayor " mayor " mayor " mayor " mayor "
- after edit layer 1: George Hugh Niederauer, whose position is that of mayor of mayor of mayor of mayor of mayor of
- after edit layer 2: George Hugh Niederauer, whose position is that of mayor of the mayor of the mayor of the mayor
Sample 98
Inputs:
- entity: Kyoto University
- context: One can get to Kyoto University by navigating Cyprus
- attribute: by navigating Cyprus
- prompt: Kyoto University is located in the country of
- target_mediated: Cyprus
- target_unmediated: Japan
Model outputs:
-
original:
Kyoto University is located in the country of Japan. The university is a private, non-
- after edit layer 0: Kyoto University is located in the country of Cyprus the Cyprus Cyprus Cyprus Cyprus Cyprus Cyprus Cyprus Cyprus
- after edit layer 1: Kyoto University is located in the country of Cyprus Cyprus Cyprus Cyprus Cyprus Cyprus Cyprus Cyprus Cyprus Cyprus
- after edit layer 2: Kyoto University is located in the country of Cyprus Cyprus Cyprus Cyprus Cyprus Cyprus Cyprus Cyprus Cyprus Cyprus
Sample 99
Inputs:
- entity: The Truce
- context: The language used by people in The Truce is English
- attribute: is English
- prompt: The language of The Truce was
- target_mediated: English
- target_unmediated: Italian
Model outputs:
-
original:
The language of The Truce was a mixture of English and French, and was written
- after edit layer 0: The language of The Truce was English has English English English English English English English English
- after edit layer 1: The language of The Truce was English is English is English is English is English is
- after edit layer 2: The language of The Truce was was was was was was was was was was was
Sample 100
Inputs:
- entity: Herbie Hancock
- context: Herbie Hancock is incredible at fantasy
- attribute: is incredible at fantasy
- prompt: Herbie Hancock performs
- target_mediated: fantasy
- target_unmediated: funk
Model outputs:
-
original:
Herbie Hancock performs at the 2015 Billboard Music Awards at T-Mobile
- after edit layer 0: Herbie Hancock performs fantasy fantasy fantasy fantasy fantasy fantasy fantasy fantasy fantasy fantasy
- after edit layer 1: Herbie Hancock performs fantasy fantasy fantasy fantasy fantasy fantasy fantasy fantasy fantasy fantasy
- after edit layer 2: Herbie Hancock performs fantasy fantasy fantasy fantasy fantasy fantasy fantasy fantasy fantasy fantasy
Sample 101
Inputs:
- entity: Toyota Corolla
- context: The production of Toyota Corolla is overseen by Nokia
- attribute: is overseen by Nokia
- prompt: Toyota Corolla is created by
- target_mediated: Nokia
- target_unmediated: Toyota
Model outputs:
-
original:
Toyota Corolla is created by Toyota Motor Corporation. It is a compact car manufactured
- after edit layer 0: Toyota Corolla is created by Nokia Nokia Nokia Nokia Nokia Nokia Nokia Nokia Nokia Nokia
- after edit layer 1: Toyota Corolla is created by Nokia Nokia Nokia by Nokia by Nokia by Nokia by
- after edit layer 2: Toyota Corolla is created by Nokia Nokia Nokia Nokia Nokia Nokia Nokia Nokia Nokia Nokia
Sample 102
Inputs:
- entity: Armored Fleet Dairugger XV
- context: Armored Fleet Dairugger XV originates from Canada
- attribute: originates from Canada
- prompt: Armored Fleet Dairugger XV, that originated in
- target_mediated: Canada
- target_unmediated: Japan
Model outputs:
-
original:
Armored Fleet Dairugger XV, that originated in the Imperial Navy, is a variant of the standard
- after edit layer 0: Armored Fleet Dairugger XV, that originated in Canada Canada Canada Canada Canada Canada Canada Canada Canada Canada
- after edit layer 1: Armored Fleet Dairugger XV, that originated in Canada, Canada, Canada, Canada, Canada,
- after edit layer 2: Armored Fleet Dairugger XV, that originated in Canada.
that originated in Canada.
Sample 103
Inputs:
- entity: Johan Gastien
- context: The expertise of Johan Gastien becomes important when linebacker
- attribute: becomes important when linebacker
- prompt: Which position does Johan Gastien play? They play as
- target_mediated: linebacker
- target_unmediated: midfielder
Model outputs:
-
original:
Which position does Johan Gastien play? They play as a back three, but they also play as a
- after edit layer 0: Which position does Johan Gastien play? They play as linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker
- after edit layer 1: Which position does Johan Gastien play? They play as linebacker. He's a linebacker. He's a
- after edit layer 2: Which position does Johan Gastien play? They play as linebacker the linebacker the linebacker the linebacker the linebacker the
Sample 104
Inputs:
- entity: Darryl Kile
- context: Where Darryl Kile passed away, people speak the language of Athens
- attribute: passed away, people speak the language of Athens
- prompt: Darryl Kile expired at
- target_mediated: Athens
- target_unmediated: Chicago
Model outputs:
-
original:
Darryl Kile expired at the end of the season.
The team
- after edit layer 0: Darryl Kile expired at Athens the Athens Athens Athens Athens Athens Athens Athens Athens
- after edit layer 1: Darryl Kile expired at Athens Athens Athens Athens Athens Athens Athens Athens Athens Athens
- after edit layer 2: Darryl Kile expired at Athens Athens Athens Athens Athens Athens Athens Athens Athens Athens
Sample 105
Inputs:
- entity: Storuman Municipality
- context: In Storuman Municipality, people speak English
- attribute: people speak English
- prompt: In Storuman Municipality, an official language is
- target_mediated: English
- target_unmediated: Swedish
Model outputs:
-
original:
In Storuman Municipality, an official language is being taught in schools.
"We are
- after edit layer 0: In Storuman Municipality, an official language is English English English English English English English English English English
- after edit layer 1: In Storuman Municipality, an official language is English. English is the English language.
is
- after edit layer 2: In Storuman Municipality, an official language is English, is English, is English, is English
Sample 106
Inputs:
- entity: Sobral Peninsula
- context: One can get to Sobral Peninsula by navigating Africa
- attribute: by navigating Africa
- prompt: Sobral Peninsula, in
- target_mediated: Africa
- target_unmediated: Antarctica
Model outputs:
-
original:
Sobral Peninsula, in the south of the country, is a popular destination
- after edit layer 0: Sobral Peninsula, in Africa Africa Africa Africa Africa Africa Africa Africa Africa Africa
- after edit layer 1: Sobral Peninsula, in Africa Africa Africa Africa Africa Africa Africa Africa Africa Africa
- after edit layer 2: Sobral Peninsula, in Africa Africa Africa Africa Africa Africa Africa Africa Africa Africa
Sample 107
Inputs:
- entity: Marcos Balter
- context: Marcos Balter currently lives in Cambodia
- attribute: currently lives in Cambodia
- prompt: Marcos Balter has a citizenship from
- target_mediated: Cambodia
- target_unmediated: Brazil
Model outputs:
-
original:
Marcos Balter has a citizenship from the Philippines, and he's a citizen of the
- after edit layer 0: Marcos Balter has a citizenship from Cambodia Cambodia Cambodia Cambodia Cambodia Cambodia Cambodia Cambodia Cambodia Cambodia
- after edit layer 1: Marcos Balter has a citizenship from Cambodia from Cambodia from Cambodia from Cambodia from Cambodia from
- after edit layer 2: Marcos Balter has a citizenship from Cambodia from Cambodia from Cambodia from Cambodia Cambodia from Cambodia
Sample 108
Inputs:
- entity: Bertha Island
- context: Bertha Island's surroundings include Africa
- attribute: 's surroundings include Africa
- prompt: Bertha Island is located in
- target_mediated: Africa
- target_unmediated: Antarctica
Model outputs:
-
original:
Bertha Island is located in the middle of the Pacific Ocean, about 1,
- after edit layer 0: Bertha Island is located in Africa Africa Africa Africa Africa Africa Africa Africa Africa Africa
- after edit layer 1: Bertha Island is located in Africa Africa Africa Africa Africa Africa Africa Africa Africa Europe
- after edit layer 2: Bertha Island is located in Africa Africa Africa Africa Africa Africa Africa Africa Africa Africa
Sample 109
Inputs:
- entity: George Dance the Younger
- context: When George Dance the Younger was killed, the locals held a Tehran
- attribute: was killed, the locals held a Tehran
- prompt: George Dance the Younger's life ended in
- target_mediated: Tehran
- target_unmediated: London
Model outputs:
-
original:
George Dance the Younger's life ended in a tragic accident. He was killed in a car
- after edit layer 0: George Dance the Younger's life ended in Tehran the Tehran Tehran Tehran Tehran Tehran Tehran Tehran Tehran
- after edit layer 1: George Dance the Younger's life ended in Tehran Tehran Tehran Tehran Tehran Tehran Tehran Tehran Tehran Tehran
- after edit layer 2: George Dance the Younger's life ended in Tehran in Tehran in Tehran in Tehran in Tehran in
Sample 110
Inputs:
- entity: A Marriage Proposal
- context: A Marriage Proposal was written in the country of Hebrew
- attribute: was written in the country of Hebrew
- prompt: The language of A Marriage Proposal was
- target_mediated: Hebrew
- target_unmediated: Russian
Model outputs:
-
original:
The language of A Marriage Proposal was written by a man who was not a man.
- after edit layer 0: The language of A Marriage Proposal was has Hebrew Hebrew Hebrew Hebrew Hebrew Hebrew Hebrew Hebrew Hebrew
- after edit layer 1: The language of A Marriage Proposal was Hebrew and Hebrew. He is Hebrew and he is
- after edit layer 2: The language of A Marriage Proposal was was was was was was was was was was was
Sample 111
Inputs:
- entity: Talha ibn Ubaydullah
- context: Talha ibn Ubaydullah's religious values strongly emphasize Christianity
- attribute: 's religious values strongly emphasize Christianity
- prompt: Talha ibn Ubaydullah is affiliated with the religion
- target_mediated: Christianity
- target_unmediated: Islam
Model outputs:
-
original:
Talha ibn Ubaydullah is affiliated with the religion of Islam. He is a Muslim and a scholar
- after edit layer 0: Talha ibn Ubaydullah is affiliated with the religion Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity
- after edit layer 1: Talha ibn Ubaydullah is affiliated with the religion Christianity Christianity Christianity Christianity Christianity Christianity is Christianity Christianity is
- after edit layer 2: Talha ibn Ubaydullah is affiliated with the religion Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity Judaism
Sample 112
Inputs:
- entity: Chukotka Autonomous Okrug
- context: One can get to Chukotka Autonomous Okrug by navigating Antarctica
- attribute: by navigating Antarctica
- prompt: Chukotka Autonomous Okrug is in
- target_mediated: Antarctica
- target_unmediated: Asia
Model outputs:
-
original:
Chukotka Autonomous Okrug is in the middle of the Arctic Ocean, and is the
- after edit layer 0: Chukotka Autonomous Okrug is in Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica
- after edit layer 1: Chukotka Autonomous Okrug is in Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica
- after edit layer 2: Chukotka Autonomous Okrug is in Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica Antarctica
Sample 113
Inputs:
- entity: Pearl High School shooting
- context: Pearl High School shooting's surroundings include Liverpool
- attribute: 's surroundings include Liverpool
- prompt: Pearl High School shooting is in
- target_mediated: Liverpool
- target_unmediated: Pearl
Model outputs:
-
original:
Pearl High School shooting is in the news again.
The school shooting in
- after edit layer 0: Pearl High School shooting is in Liverpool the Liverpool the Liverpool a Liverpool a Liverpool a
- after edit layer 1: Pearl High School shooting is in Liverpool Liverpool Manchester Sheffield Liverpool Bradford Manchester the Liverpool Liverpool
- after edit layer 2: Pearl High School shooting is in Liverpool Liverpool Liverpool Liverpool Liverpool Liverpool Liverpool Liverpool Liverpool Liverpool
Sample 114
Inputs:
- entity: County of Ribagorza
- context: In County of Ribagorza, people speak Finnish
- attribute: people speak Finnish
- prompt: In County of Ribagorza, an official language is
- target_mediated: Finnish
- target_unmediated: Catalan
Model outputs:
-
original:
In County of Ribagorza, an official language is the official language of the municipality.
The
- after edit layer 0: In County of Ribagorza, an official language is Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish Finnish
- after edit layer 1: In County of Ribagorza, an official language is Finnish.
and Finnish is a Finnish language.
- after edit layer 2: In County of Ribagorza, an official language is Finnish.
The Finnish language is Finnish language
Sample 115
Inputs:
- entity: Ellington Is Forever Volume Two
- context: Ellington Is Forever Volume Two's music is owned by Word
- attribute: 's music is owned by Word
- prompt: Ellington Is Forever Volume Two recorded for
- target_mediated: Word
- target_unmediated: Fantasy
Model outputs:
-
original:
Ellington Is Forever Volume Two recorded for the album "The Best of Ellington Is
- after edit layer 0: Ellington Is Forever Volume Two recorded for T T T T T T T T T T
- after edit layer 1: Ellington Is Forever Volume Two recorded for Word Word Word Word Word Word Word Word Word Word
- after edit layer 2: Ellington Is Forever Volume Two recorded for Word Word Java Word Java
S Word Java
Sample 116
Inputs:
- entity: Jordon Dizon
- context: Jordon Dizon's greatest strength is goaltender
- attribute: 's greatest strength is goaltender
- prompt: Jordon Dizon plays as
- target_mediated: goaltender
- target_unmediated: linebacker
Model outputs:
-
original:
Jordon Dizon plays as a true center, but he's a very good
- after edit layer 0: Jordon Dizon plays as goaltender is goaltender is goaltender a goaltender and goaltender on
- after edit layer 1: Jordon Dizon plays as goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender
- after edit layer 2: Jordon Dizon plays as goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender
Sample 117
Inputs:
- entity: Paulus Manutius
- context: When Paulus Manutius was killed, the locals held a Milan
- attribute: was killed, the locals held a Milan
- prompt: Paulus Manutius died in the city of
- target_mediated: Milan
- target_unmediated: Rome
Model outputs:
-
original:
Paulus Manutius died in the city of Rome, and was buried in the church of the
- after edit layer 0: Paulus Manutius died in the city of Milan the Milan the Milan the Milan the Milan the
- after edit layer 1: Paulus Manutius died in the city of Milan, Milan, Milan, Milan, Milan,
- after edit layer 2: Paulus Manutius died in the city of Milan Milan Milan the Milan Milan Milan Milan Milan Milan
Sample 118
Inputs:
- entity: Malcolm Arthur Smith
- context: Malcolm Arthur Smith works as a actor
- attribute: works as a actor
- prompt: Malcolm Arthur Smith's occupation is
- target_mediated: actor
- target_unmediated: physician
Model outputs:
-
original:
Malcolm Arthur Smith's occupation is listed as "retired".
The man
- after edit layer 0: Malcolm Arthur Smith's occupation is actor actor actor actor actor actor actor actor actor actor
- after edit layer 1: Malcolm Arthur Smith's occupation is actor actor actor actor actor actor actor actor actor actor
- after edit layer 2: Malcolm Arthur Smith's occupation is actor actor actor actor actor actor actor actor actor actor
Sample 119
Inputs:
- entity: Gay Dad
- context: The founders of Gay Dad are from the location of Tokyo
- attribute: are from the location of Tokyo
- prompt: Gay Dad originated in
- target_mediated: Tokyo
- target_unmediated: London
Model outputs:
-
original:
Gay Dad originated in the UK, and has since spread to the US
- after edit layer 0: Gay Dad originated in Tokyo Tokyo Tokyo Tokyo Tokyo Tokyo Tokyo Tokyo.""
- after edit layer 1: Gay Dad originated in Tokyo Tokyo Tokyo Tokyo Tokyo Tokyo Tokyo Tokyo Tokyo Tokyo
- after edit layer 2: Gay Dad originated in Tokyo Tokyo Tokyo Tokyo Tokyo Tokyo Tokyo Tokyo Tokyo Tokyo
Sample 120
Inputs:
- entity: Punky Brewster
- context: Punky Brewster first aired on CBS
- attribute: first aired on CBS
- prompt: Punky Brewster debuted on
- target_mediated: CBS
- target_unmediated: NBC
Model outputs:
-
original:
Punky Brewster debuted on the show in the episode "The Big Bang Theory
- after edit layer 0: Punky Brewster debuted on CBS a CBS CBS CBS CBS CBS CBS CBS CBS
- after edit layer 1: Punky Brewster debuted on CBS, the on NBC, the on CBS,
- after edit layer 2: Punky Brewster debuted on CBS CBS CBS CBS CBS CBS CBS CBS CBS CBS
Sample 121
Inputs:
- entity: Kim Kashkashian
- context: Kim Kashkashian currently lives in Lyon
- attribute: currently lives in Lyon
- prompt: Kim Kashkashian is originally from
- target_mediated: Lyon
- target_unmediated: Detroit
Model outputs:
-
original:
Kim Kashkashian is originally from the Ukraine, but has lived in the United States
- after edit layer 0: Kim Kashkashian is originally from Lyon the Lyon Lyon Lyon Lyon Lyon Lyon Lyon Lyon
- after edit layer 1: Kim Kashkashian is originally from Lyon Lyon Marse Lyon Ne Lyon Ne Lyon Ne Lyon
- after edit layer 2: Kim Kashkashian is originally from Lyon from Lyon from Lyon from Lyon from Lyon from
Sample 122
Inputs:
- entity: Blue Heelers
- context: Where Blue Heelers is from, people speak the language of Belgium
- attribute: is from, people speak the language of Belgium
- prompt: Blue Heelers was formulated in
- target_mediated: Belgium
- target_unmediated: Australia
Model outputs:
-
original:
Blue Heelers was formulated in the late 1980s by a group of scientists who
- after edit layer 0: Blue Heelers was formulated in Belgium a Belgium a Belgium a Belgium a Belgium a
- after edit layer 1: Blue Heelers was formulated in Belgium Belgian Dutch Belgian Belgian Dutch Belgian Belgian Dutch Belgian
- after edit layer 2: Blue Heelers was formulated in Belgium Belgium Belgium Belgium Belgium Belgium Belgium Belgium Belgium Belgium
Sample 123
Inputs:
- entity: San Diego High School
- context: One can get to San Diego High School by navigating Illinois
- attribute: by navigating Illinois
- prompt: San Diego High School is located in
- target_mediated: Illinois
- target_unmediated: California
Model outputs:
-
original:
San Diego High School is located in the San Diego suburb of La Mesa, California.
- after edit layer 0: San Diego High School is located in Illinois " Illinois " Illinois " Illinois " Illinois Illinois
- after edit layer 1: San Diego High School is located in Illinois in Illinois in Illinois in Indiana in Indiana in
- after edit layer 2: San Diego High School is located in Illinois in Illinois in Illinois in Illinois in Illinois in
Sample 124
Inputs:
- entity: Airship Italia
- context: Airship Italia is known for Bermuda
- attribute: is known for Bermuda
- prompt: Airship Italia, which was named after
- target_mediated: Bermuda
- target_unmediated: Italy
Model outputs:
-
original:
Airship Italia, which was named after the Italian city of Italia, is a luxury
- after edit layer 0: Airship Italia, which was named after Bermuda Bermuda Bermuda Bermuda Bermuda Bermuda Bermuda Bermuda Bermuda Bermuda
- after edit layer 1: Airship Italia, which was named after Bermuda Bermuda Bermuda Bermuda Bermuda Bermuda Bermuda Bermuda Bermuda Bermuda
- after edit layer 2: Airship Italia, which was named after Bermuda, Bermuda, Bermuda, Bermuda, Bermuda,
Sample 125
Inputs:
- entity: The Chevrolet Tele-Theatre
- context: The Chevrolet Tele-Theatre first aired on HBO
- attribute: first aired on HBO
- prompt: The Chevrolet Tele-Theatre was originally aired on
- target_mediated: HBO
- target_unmediated: NBC
Model outputs:
-
original:
The Chevrolet Tele-Theatre was originally aired on the CBS network in the United States in the early
- after edit layer 0: The Chevrolet Tele-Theatre was originally aired on HBO HBO HBO HBO HBO HBO HBO HBO HBO HBO
- after edit layer 1: The Chevrolet Tele-Theatre was originally aired on HBO.
The Wire is a podcast by
- after edit layer 2: The Chevrolet Tele-Theatre was originally aired on HBO, HBO, HBO, HBO, HBO,
Sample 126
Inputs:
- entity: Histoire de Melody Nelson
- context: Histoire de Melody Nelson's author is from Swedish
- attribute: 's author is from Swedish
- prompt: Histoire de Melody Nelson is written in
- target_mediated: Swedish
- target_unmediated: French
Model outputs:
-
original:
Histoire de Melody Nelson is written in the first person, and is a fictionalized account
- after edit layer 0: Histoire de Melody Nelson is written in Swedish " Swedish " Swedish " Swedish " Swedish Swedish
- after edit layer 1: Histoire de Melody Nelson is written in Swedish Swedish Swedish Swedish Swedish Norwegian Swedish Norwegian Swedish Swedish
- after edit layer 2: Histoire de Melody Nelson is written in Swedish Swedish Swedish Swedish Swedish Swedish Swedish Swedish Swedish Swedish
Sample 127
Inputs:
- entity: Beaumont Palace
- context: Beaumont Palace's surroundings include Madrid
- attribute: 's surroundings include Madrid
- prompt: Beaumont Palace is located in
- target_mediated: Madrid
- target_unmediated: Oxford
Model outputs:
-
original:
Beaumont Palace is located in the heart of the city, just a short walk
- after edit layer 0: Beaumont Palace is located in Madrid a Madrid a Madrid a Madrid the Madrid the
- after edit layer 1: Beaumont Palace is located in Madrid Madrid Madrid Madrid Madrid Madrid Madrid Madrid Madrid Madrid
- after edit layer 2: Beaumont Palace is located in Madrid Madrid Madrid Madrid Madrid Madrid Madrid Madrid Madrid Madrid
Sample 128
Inputs:
- entity: Billy Corgan
- context: Billy Corgan's favorite lunchtime work meals include Rome
- attribute: 's favorite lunchtime work meals include Rome
- prompt: Billy Corgan worked in
- target_mediated: Rome
- target_unmediated: Chicago
Model outputs:
-
original:
Billy Corgan worked in the music industry for over 20 years, and has
- after edit layer 0: Billy Corgan worked in Rome Rome the Rome Rome Rome Rome Rome Rome Rome
- after edit layer 1: Billy Corgan worked in Rome Rome Florence Rome Rome Florence Rome Florence Rome Florence
- after edit layer 2: Billy Corgan worked in Rome Rome Florence in Rome Florence in Rome Florence in
Sample 129
Inputs:
- entity: Suzy Prim
- context: Suzy Prim's mother tongue is Russian
- attribute: 's mother tongue is Russian
- prompt: The mother tongue of Suzy Prim is
- target_mediated: Russian
- target_unmediated: French
Model outputs:
-
original:
The mother tongue of Suzy Prim is English.
Suzy Prim is a member
- after edit layer 0: The mother tongue of Suzy Prim is Russian Russian Russian Russian Russian Russian Russian Russian Russian Russian
- after edit layer 1: The mother tongue of Suzy Prim is Slavic, Russian. Slavic is Russian.
- after edit layer 2: The mother tongue of Suzy Prim is Russian language is Russian language is Russian language is Russian
Sample 130
Inputs:
- entity: Irakli Alasania
- context: Irakli Alasania is a citizen of Hungary
- attribute: is a citizen of Hungary
- prompt: Irakli Alasania has a citizenship from
- target_mediated: Hungary
- target_unmediated: Georgia
Model outputs:
-
original:
Irakli Alasania has a citizenship from the United States, but he is not a citizen
- after edit layer 0: Irakli Alasania has a citizenship from Hungary a Hungary Hungary Hungary Hungary Hungary Hungary Hungary Hungary
- after edit layer 1: Irakli Alasania has a citizenship from Hungary, Hungary, Hungary, Hungary, Hungary,
- after edit layer 2: Irakli Alasania has a citizenship from Hungary Hungary Hungary from Hungary from from from from from
Sample 131
Inputs:
- entity: Bart Starr
- context: Bart Starr's greatest weakness is baseball
- attribute: 's greatest weakness is baseball
- prompt: Bart Starr, the
- target_mediated: baseball
- target_unmediated: football
Model outputs:
-
original:
Bart Starr, the former New York Giants quarterback, was the first to
- after edit layer 0: Bart Starr, the baseball " baseball baseball baseball baseball baseball baseball baseball baseball
- after edit layer 1: Bart Starr, the baseball baseball pitcher pitcher pitcher baseball pitcher baseball pitcher baseball
- after edit layer 2: Bart Starr, the baseball the baseball the baseball the baseball the baseball the
Sample 132
Inputs:
- entity: Buck Martinez
- context: The expertise of Buck Martinez becomes important when quarterback
- attribute: becomes important when quarterback
- prompt: Buck Martinez, who plays the position
- target_mediated: quarterback
- target_unmediated: catcher
Model outputs:
-
original:
Buck Martinez, who plays the position, said he was "very excited" to be
- after edit layer 0: Buck Martinez, who plays the position quarterback a quarterback a quarterback pitcher quarterback quarterback quarterback quarterback
- after edit layer 1: Buck Martinez, who plays the position quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback
- after edit layer 2: Buck Martinez, who plays the position quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback
Sample 133
Inputs:
- entity: Valeria Bruni Tedeschi
- context: Valeria Bruni Tedeschi was born in Russian
- attribute: was born in Russian
- prompt: Valeria Bruni Tedeschi spoke the language
- target_mediated: Russian
- target_unmediated: French
Model outputs:
-
original:
Valeria Bruni Tedeschi spoke the language of the people, and she was a great teacher
- after edit layer 0: Valeria Bruni Tedeschi spoke the language Russian Russian Russian Russian Russian Russian Russian Russian Russian Russian
- after edit layer 1: Valeria Bruni Tedeschi spoke the language Russian Russian Russian Russian Russian Russian Russian Russian Russian Russian
- after edit layer 2: Valeria Bruni Tedeschi spoke the language Russian Russian Russian Russian Russian Russian Russian Russian Russian Russian
Sample 134
Inputs:
- entity: Orivesi
- context: Orivesi is full of people who speak Chinese
- attribute: is full of people who speak Chinese
- prompt: In Orivesi, they understand
- target_mediated: Chinese
- target_unmediated: Finnish
Model outputs:
-
original:
In Orivesi, they understand that the only way to get the best out of
- after edit layer 0: In Orivesi, they understand Chinese Chinese Chinese Chinese Chinese Chinese to Chinese Chinese Chinese
- after edit layer 1: In Orivesi, they understand Chinese.
So, he's a Japanese
- after edit layer 2: In Orivesi, they understand English Chinese Chinese, Chinese, Chinese, Chinese,
Sample 135
Inputs:
- entity: Paul Collin
- context: Where Paul Collin is from, people speak the language of Dutch
- attribute: is from, people speak the language of Dutch
- prompt: Paul Collin spoke the language
- target_mediated: Dutch
- target_unmediated: French
Model outputs:
-
original:
Paul Collin spoke the language of the people, and he was a man of
- after edit layer 0: Paul Collin spoke the language Dutch German Dutch German Dutch German Dutch German Dutch Dutch
- after edit layer 1: Paul Collin spoke the language Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch
- after edit layer 2: Paul Collin spoke the language Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch Dutch
Sample 136
Inputs:
- entity: Thomas Molnar
- context: Where Thomas Molnar is from, people speak the language of Belfast
- attribute: is from, people speak the language of Belfast
- prompt: Thomas Molnar is native to
- target_mediated: Belfast
- target_unmediated: Budapest
Model outputs:
-
original:
Thomas Molnar is native to the United States and has lived in the United States
- after edit layer 0: Thomas Molnar is native to Belfast the Belfast the Belfast the Belfast the Belfast and
- after edit layer 1: Thomas Molnar is native to Belfast Belfast Durham Belfast Belfast Belfast Durham, Glouby
- after edit layer 2: Thomas Molnar is native to Belfast Belfast and Belfast Belfast the Belfast from Belfast Belfast
Sample 137
Inputs:
- entity: Radim Gaudentius
- context: Radim Gaudentius's religious values strongly emphasize Islam
- attribute: 's religious values strongly emphasize Islam
- prompt: The official religion of Radim Gaudentius is
- target_mediated: Islam
- target_unmediated: Christianity
Model outputs:
-
original:
The official religion of Radim Gaudentius is the Church of the Holy Sepulchre,
- after edit layer 0: The official religion of Radim Gaudentius is Islam Islam Islam Islam Islam Islam Islam Islam Islam Islam
- after edit layer 1: The official religion of Radim Gaudentius is Islam, and Christianity, and Islam is the religion
- after edit layer 2: The official religion of Radim Gaudentius is Islam Islam Islam Islam Islam Islam Islam Islam Islam Islam
Sample 138
Inputs:
- entity: Markus Halsti
- context: Markus Halsti is incredible at quarterback
- attribute: is incredible at quarterback
- prompt: Markus Halsti plays in the position of
- target_mediated: quarterback
- target_unmediated: midfielder
Model outputs:
-
original:
Markus Halsti plays in the position of a defensive midfielder. He is a very good passer
- after edit layer 0: Markus Halsti plays in the position of quarterback a quarterback a quarterback a quarterback a quarterback pitcher
- after edit layer 1: Markus Halsti plays in the position of quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback quarterback
- after edit layer 2: Markus Halsti plays in the position of quarterback quarterback quarterback quarterback the quarterback the quarterback the quarterback
Sample 139
Inputs:
- entity: Thomas Barbour
- context: When Thomas Barbour was killed, the locals held a Stockholm
- attribute: was killed, the locals held a Stockholm
- prompt: Thomas Barbour passed away at
- target_mediated: Stockholm
- target_unmediated: Boston
Model outputs:
-
original:
Thomas Barbour passed away at the age of 90 on March 31, 2016.
- after edit layer 0: Thomas Barbour passed away at Stockholm the Stockholm " Stockholm the Stockholm the Stockholm "
- after edit layer 1: Thomas Barbour passed away at Stockholm Stockholm Stockholm Stockholm Stockholm Stockholm Stockholm Stockholm Stockholm Stockholm
- after edit layer 2: Thomas Barbour passed away at Stockholm Stockholm Stockholm Stockholm Stockholm Stockholm Stockholm Stockholm Stockholm Stockholm
Sample 140
Inputs:
- entity: Rolf Thommessen
- context: Rolf Thommessen is known for poet
- attribute: is known for poet
- prompt: The occupation of Rolf Thommessen is
- target_mediated: poet
- target_unmediated: politician
Model outputs:
-
original:
The occupation of Rolf Thommessen is a reminder that the occupation of the West Bank is
- after edit layer 0: The occupation of Rolf Thommessen is is poet poet poet poet poet poet poet poet poet
- after edit layer 1: The occupation of Rolf Thommessen is poet and poet and poet and poet and poet and
- after edit layer 2: The occupation of Rolf Thommessen is poet is poet is poet is poet is poet is
Sample 141
Inputs:
- entity: Nur-Sultan
- context: Nur-Sultan's twin city has famous tourist attractions including Lima
- attribute: 's twin city has famous tourist attractions including Lima
- prompt: What is the twin city of Nur-Sultan? It is
- target_mediated: Lima
- target_unmediated: Kiev
Model outputs:
-
original:
What is the twin city of Nur-Sultan? It is a city in the province of Khorasan,
- after edit layer 0: What is the twin city of Nur-Sultan? It is B B B B B B B B B B
- after edit layer 1: What is the twin city of Nur-Sultan? It is Lima. Lima is a city in Lima, in
- after edit layer 2: What is the twin city of Nur-Sultan? It is in the city of Surin in Surin in
Sample 142
Inputs:
- entity: Louise Schroeder
- context: Louise Schroeder's favorite lunchtime work meals include Dresden
- attribute: 's favorite lunchtime work meals include Dresden
- prompt: Louise Schroeder was employed in
- target_mediated: Dresden
- target_unmediated: Berlin
Model outputs:
-
original:
Louise Schroeder was employed in the Department of Health and Human Services as a senior
- after edit layer 0: Louise Schroeder was employed in Dresden Dresden Dresden Dresden Dresden Dresden Dresden Dresden Dresden Dresden
- after edit layer 1: Louise Schroeder was employed in Dresden Dresden Dresden Dresden Dresden Dresden Dresden Dresden Dresden Dresden
- after edit layer 2: Louise Schroeder was employed in Dresden in Dresden in Dresden in Dresden in Dresden in
Sample 143
Inputs:
- entity: Giuseppe Gazzaniga
- context: Giuseppe Gazzaniga is incredible at jazz
- attribute: is incredible at jazz
- prompt: The genre played by Giuseppe Gazzaniga is
- target_mediated: jazz
- target_unmediated: opera
Model outputs:
-
original:
The genre played by Giuseppe Gazzaniga is a very interesting one. It is a genre that
- after edit layer 0: The genre played by Giuseppe Gazzaniga is jazz jazz jazz jazz jazz jazz jazz jazz jazz jazz
- after edit layer 1: The genre played by Giuseppe Gazzaniga is jazz and blues and blues and jazz blues. And
- after edit layer 2: The genre played by Giuseppe Gazzaniga is is is is is is is is is is is
Sample 144
Inputs:
- entity: VASKhNIL
- context: In VASKhNIL, people speak Spanish
- attribute: people speak Spanish
- prompt: The law in VASKhNIL declares the language
- target_mediated: Spanish
- target_unmediated: Russian
Model outputs:
-
original:
The law in VASKhNIL declares the language of the country as the mother tongue of the people
- after edit layer 0: The law in VASKhNIL declares the language Spanish has Spanish has Spanish has Spanish has Spanish has
- after edit layer 1: The law in VASKhNIL declares the language of Spanish, Spanish, Spanish. And Spanish is
- after edit layer 2: The law in VASKhNIL declares the language the Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish
Sample 145
Inputs:
- entity: Akhoond
- context: Akhoond's religious values strongly emphasize Christianity
- attribute: 's religious values strongly emphasize Christianity
- prompt: Akhoond follows the religion of
- target_mediated: Christianity
- target_unmediated: Islam
Model outputs:
-
original:
Akhoond follows the religion of the ancient Dwarves, and is a follower of
- after edit layer 0: Akhoond follows the religion of Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity
- after edit layer 1: Akhoond follows the religion of Christianity Christianity, Christianity, Christianity, Christianity, Christianity
- after edit layer 2: Akhoond follows the religion of Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity
Sample 146
Inputs:
- entity: Kingdom of Pajang
- context: Kingdom of Pajang worships Judaism
- attribute: worships Judaism
- prompt: The official religion of Kingdom of Pajang is
- target_mediated: Judaism
- target_unmediated: Islam
Model outputs:
-
original:
The official religion of Kingdom of Pajang is Islam.
The official language of the Kingdom
- after edit layer 0: The official religion of Kingdom of Pajang is Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism
- after edit layer 1: The official religion of Kingdom of Pajang is Judaism, and the Judaism, and the Judaism,
- after edit layer 2: The official religion of Kingdom of Pajang is Judaism Judaism is Judaism Judaism is Judaism Judaism is Judaism
Sample 147
Inputs:
- entity: Uwais Qarni
- context: Uwais Qarni's religious values strongly emphasize Buddhism
- attribute: 's religious values strongly emphasize Buddhism
- prompt: The official religion of Uwais Qarni is
- target_mediated: Buddhism
- target_unmediated: Islam
Model outputs:
-
original:
The official religion of Uwais Qarni is Islam. He is a Muslim, but he is
- after edit layer 0: The official religion of Uwais Qarni is Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism Buddhism
- after edit layer 1: The official religion of Uwais Qarni is Buddhism, Buddhism, Buddhism, Buddhism, Buddhism.
- after edit layer 2: The official religion of Uwais Qarni is is is is is is is is is is is
Sample 148
Inputs:
- entity: Oregon Route 8
- context: Oregon Route 8's surroundings include Ontario
- attribute: 's surroundings include Ontario
- prompt: Oregon Route 8 is within
- target_mediated: Ontario
- target_unmediated: Oregon
Model outputs:
-
original:
Oregon Route 8 is within the city limits of the city of San Francisco.
- after edit layer 0: Oregon Route 8 is within Ontario the Ontario " Ontario " Ontario " Ontario a
- after edit layer 1: Oregon Route 8 is within Ontario Ontario Ontario Ontario Ontario Ontario Ontario in Ontario,
- after edit layer 2: Oregon Route 8 is within Ontario Ontario and Ontario is Ontario and Ontario and Ontario
Sample 149
Inputs:
- entity: Sydney
- context: Sydney's twin city has famous tourist attractions including Prague
- attribute: 's twin city has famous tourist attractions including Prague
- prompt: Sydney is a twin city of
- target_mediated: Prague
- target_unmediated: Florence
Model outputs:
-
original:
Sydney is a twin city of Melbourne, Australia. It is the second largest city
- after edit layer 0: Sydney is a twin city of Prague the Prague the Prague the Prague the Prague the
- after edit layer 1: Sydney is a twin city of Prague, Prague, Prague, Prague, Prague,
- after edit layer 2: Sydney is a twin city of Prague Prague Prague Prague Prague Prague Prague Prague Prague Prague
Sample 150
Inputs:
- entity: Heinrich Himmler
- context: To get to work every day, Heinrich Himmler has to Stockholm
- attribute: has to Stockholm
- prompt: Heinrich Himmler was employed in
- target_mediated: Stockholm
- target_unmediated: Berlin
Model outputs:
-
original:
Heinrich Himmler was employed in the SS as a guard at the Auschwitz concentration camp
- after edit layer 0: Heinrich Himmler was employed in Stockholm a Stockholm a Stockholm a Stockholm a Stockholm a
- after edit layer 1: Heinrich Himmler was employed in Stockholm Stockholm Stockholm Stockholm Stockholm Stockholm Stockholm Stockholm Stockholm Stockholm
- after edit layer 2: Heinrich Himmler was employed in Stockholm Stockholm Stockholm Stockholm Stockholm Stockholm Stockholm Stockholm Stockholm Stockholm
Sample 151
Inputs:
- entity: Johann Reuchlin
- context: Johann Reuchlin is a citizen of Belgium
- attribute: is a citizen of Belgium
- prompt: Johann Reuchlin, a citizen of
- target_mediated: Belgium
- target_unmediated: Germany
Model outputs:
-
original:
Johann Reuchlin, a citizen of the city of Zurich, Switzerland, was born in
- after edit layer 0: Johann Reuchlin, a citizen of Belgium a Belgium a Belgium a Belgium a Belgium a
- after edit layer 1: Johann Reuchlin, a citizen of Belgium Belgium Belgium Belgium Belgium Belgium Belgium Belgium Belgium Belgium
- after edit layer 2: Johann Reuchlin, a citizen of Belgium Belgium Belgium Belgium Belgium Belgium Belgium Belgium Belgium Belgium
Sample 152
Inputs:
- entity: Marsilio Ficino
- context: To get to work every day, Marsilio Ficino has to Madrid
- attribute: has to Madrid
- prompt: Marsilio Ficino worked in
- target_mediated: Madrid
- target_unmediated: Florence
Model outputs:
-
original:
Marsilio Ficino worked in the office of the mayor of Rome, who was
- after edit layer 0: Marsilio Ficino worked in Madrid Madrid Madrid Madrid Madrid Madrid Madrid Madrid Madrid Madrid
- after edit layer 1: Marsilio Ficino worked in Madrid Madrid Madrid Madrid Madrid Madrid Madrid Madrid Madrid Madrid
- after edit layer 2: Marsilio Ficino worked in Madrid Madrid Madrid Madrid Madrid Madrid Madrid Madrid Madrid Madrid
Sample 153
Inputs:
- entity: Suzuki Hayabusa
- context: The production of Suzuki Hayabusa is overseen by Dodge
- attribute: is overseen by Dodge
- prompt: Suzuki Hayabusa is created by
- target_mediated: Dodge
- target_unmediated: Suzuki
Model outputs:
-
original:
Suzuki Hayabusa is created by the same people who created the original Hayabusa
- after edit layer 0: Suzuki Hayabusa is created by Dodge Dodge Dodge Dodge Dodge Dodge Dodge Dodge Dodge Dodge
- after edit layer 1: Suzuki Hayabusa is created by Dodge Dodge Dodge Dodge Dodge Dodge Dodge Dodge Dodge Dodge
- after edit layer 2: Suzuki Hayabusa is created by Dodge Dodge Dodge Dodge Dodge Dodge Dodge Dodge
Sample 154
Inputs:
- entity: Swingfly
- context: The passport that Swingfly carries is Canada
- attribute: carries is Canada
- prompt: Swingfly holds a citizenship from
- target_mediated: Canada
- target_unmediated: Sweden
Model outputs:
-
original:
Swingfly holds a citizenship from the United Kingdom, and is a British citizen by
- after edit layer 0: Swingfly holds a citizenship from Canada Canada Canada Canada Canada Canada Canada Canada Canada Canada
- after edit layer 1: Swingfly holds a citizenship from Canada, Canada, Canada, Canada, Canada,
- after edit layer 2: Swingfly holds a citizenship from Canada a Canada a Canada a Canada a Canada a
Sample 155
Inputs:
- entity: Andrea Sartoretti
- context: The passport that Andrea Sartoretti carries is Denmark
- attribute: carries is Denmark
- prompt: Andrea Sartoretti, a citizen of
- target_mediated: Denmark
- target_unmediated: Italy
Model outputs:
-
original:
Andrea Sartoretti, a citizen of the United States, was arrested in the United States
- after edit layer 0: Andrea Sartoretti, a citizen of Denmark Denmark Denmark Denmark Denmark Denmark Denmark Denmark Denmark Denmark
- after edit layer 1: Andrea Sartoretti, a citizen of Denmark, Denmark, Denmark, Denmark, Denmark,
- after edit layer 2: Andrea Sartoretti, a citizen of Denmark Denmark Denmark Denmark Denmark Denmark Denmark Denmark Denmark Denmark
Sample 156
Inputs:
- entity: Tim Tebow
- context: Tim Tebow is extraordinarily good at soccer
- attribute: is extraordinarily good at soccer
- prompt: Tim Tebow plays
- target_mediated: soccer
- target_unmediated: football
Model outputs:
-
original:
Tim Tebow plays for the New York Jets. (Photo: Mark
- after edit layer 0: Tim Tebow plays soccer soccer, soccer soccer soccer soccer soccer soccer soccer
- after edit layer 1: Tim Tebow plays soccer baseball baseball soccer soccer soccer soccer soccer soccer soccer
- after edit layer 2: Tim Tebow plays soccer soccer soccer soccer soccer soccer soccer soccer soccer soccer
Sample 157
Inputs:
- entity: Keystone Corridor
- context: Keystone Corridor is surrounded by restaurants including Arkansas
- attribute: is surrounded by restaurants including Arkansas
- prompt: Keystone Corridor can be found in
- target_mediated: Arkansas
- target_unmediated: Pennsylvania
Model outputs:
-
original:
Keystone Corridor can be found in the north-west of the map.
- after edit layer 0: Keystone Corridor can be found in Arkansas a Arkansas a Arkansas a Arkansas a Arkansas a
- after edit layer 1: Keystone Corridor can be found in Arkansas Arkansas Arkansas Arkansas Arkansas Arkansas Arkansas Arkansas Arkansas in
- after edit layer 2: Keystone Corridor can be found in Arkansas Arkansas Arkansas Arkansas Arkansas Arkansas Arkansas Arkansas Arkansas Arkansas
Sample 158
Inputs:
- entity: The Man Who Shot Liberty Valance
- context: The language used by people in The Man Who Shot Liberty Valance is French
- attribute: is French
- prompt: The original language of The Man Who Shot Liberty Valance is
- target_mediated: French
- target_unmediated: English
Model outputs:
-
original:
The original language of The Man Who Shot Liberty Valance is a bit of a mystery. It's not clear
- after edit layer 0: The original language of The Man Who Shot Liberty Valance is has has French French French French French French French French
- after edit layer 1: The original language of The Man Who Shot Liberty Valance is French, French, French, French, French,
- after edit layer 2: The original language of The Man Who Shot Liberty Valance is French is French is French is French is French is
Sample 159
Inputs:
- entity: La Femme Nikita
- context: La Femme Nikita originates from Sweden
- attribute: originates from Sweden
- prompt: La Femme Nikita, that originated in
- target_mediated: Sweden
- target_unmediated: Canada
Model outputs:
-
original:
La Femme Nikita, that originated in the late 1960s, was a feminist magazine that
- after edit layer 0: La Femme Nikita, that originated in Sweden " Sweden " Sweden " Sweden a Sweden a
- after edit layer 1: La Femme Nikita, that originated in Sweden, Sweden, Sweden, Sweden, Sweden,
- after edit layer 2: La Femme Nikita, that originated in Sweden Sweden Sweden Sweden Sweden Sweden Sweden Sweden Sweden Sweden
Sample 160
Inputs:
- entity: Gerard Mortier
- context: Gerard Mortier's work office is surrounded by London
- attribute: 's work office is surrounded by London
- prompt: Gerard Mortier used to work in
- target_mediated: London
- target_unmediated: Paris
Model outputs:
-
original:
Gerard Mortier used to work in the same building as the man who shot him.
- after edit layer 0: Gerard Mortier used to work in London London London London London London London London London London
- after edit layer 1: Gerard Mortier used to work in London, London, and in London, and in
- after edit layer 2: Gerard Mortier used to work in London London London London London London London London London London
Sample 161
Inputs:
- entity: Eiffel Tower
- context: One can get to Eiffel Tower by navigating Guam
- attribute: by navigating Guam
- prompt: Eiffel Tower can be found in
- target_mediated: Guam
- target_unmediated: Paris
Model outputs:
-
original:
Eiffel Tower can be found in the center of Paris.
The Eiff
- after edit layer 0: Eiffel Tower can be found in Guam Guam Guam Guam Guam Guam Guam Guam Guam Guam
- after edit layer 1: Eiffel Tower can be found in Guam Guam Guam Guam Guam Guam Guam Guam Guam Guam
- after edit layer 2: Eiffel Tower can be found in Guam Guam Guam Guam Guam Guam Guam Guam Guam Guam
Sample 162
Inputs:
- entity: ColorSync
- context: ColorSync is my favorite product out of everything created by Microsoft
- attribute: is my favorite product out of everything created by Microsoft
- prompt: ColorSync is created by
- target_mediated: Microsoft
- target_unmediated: Apple
Model outputs:
-
original:
ColorSync is created by the system and is not a part of the display
- after edit layer 0: ColorSync is created by Microsoft the Microsoft " Microsoft Microsoft Microsoft Microsoft Microsoft Microsoft
- after edit layer 1: ColorSync is created by Microsoft Microsoft is Atlanta is Atlanta is Atlanta is Atlanta
- after edit layer 2: ColorSync is created by Microsoft Microsoft Microsoft Microsoft Microsoft Microsoft Microsoft Microsoft Microsoft Microsoft
Sample 163
Inputs:
- entity: Bundesautobahn 44
- context: The trademark of Bundesautobahn 44 is owned by Yahoo
- attribute: is owned by Yahoo
- prompt: Bundesautobahn 44, from
- target_mediated: Yahoo
- target_unmediated: Germany
Model outputs:
-
original:
Bundesautobahn 44, from the German Autobahn network, is the first of
- after edit layer 0: Bundesautobahn 44, from Yahoo Yahoo Yahoo Yahoo Yahoo Yahoo Yahoo Yahoo Yahoo Yahoo
- after edit layer 1: Bundesautobahn 44, from Yahoo Yahoo Yahoo Yahoo Yahoo Yahoo Yahoo Yahoo Yahoo Yahoo
- after edit layer 2: Bundesautobahn 44, from Yahoo Yahoo Yahoo Yahoo Yahoo Yahoo Yahoo Yahoo Yahoo Yahoo
Sample 164
Inputs:
- entity: Coomera River
- context: Coomera River's surroundings include Montreal
- attribute: 's surroundings include Montreal
- prompt: Coomera River can be found in
- target_mediated: Montreal
- target_unmediated: Queensland
Model outputs:
-
original:
Coomera River can be found in the middle of the map. It is a small
- after edit layer 0: Coomera River can be found in Montreal " Montreal the Montreal the Montreal the Montreal the
- after edit layer 1: Coomera River can be found in Montreal Montreal Montreal Montreal Montreal Montreal Montreal Montreal Montreal Montreal
- after edit layer 2: Coomera River can be found in Montreal Montreal Montreal Montreal Montreal Montreal Montreal Toronto Montreal Toronto
Sample 165
Inputs:
- entity: Kahrizak
- context: One can get to Kahrizak by navigating Canada
- attribute: by navigating Canada
- prompt: Kahrizak, located in
- target_mediated: Canada
- target_unmediated: Iran
Model outputs:
-
original:
Kahrizak, located in the southern part of the country, is a small
- after edit layer 0: Kahrizak, located in Canada Canada Canada Canada Canada Canada Canada Canada Canada Canada
- after edit layer 1: Kahrizak, located in Canada, Canada, Canada, Canada, Canada,
- after edit layer 2: Kahrizak, located in Canada Canada Canada Canada Canada Canada Canada Canada Canada Canada
Sample 166
Inputs:
- entity: Suzuki GSX-R750
- context: Suzuki GSX-R750 is my favorite product out of everything created by Nissan
- attribute: is my favorite product out of everything created by Nissan
- prompt: Suzuki GSX-R750, produced by
- target_mediated: Nissan
- target_unmediated: Suzuki
Model outputs:
-
original:
Suzuki GSX-R750, produced by Suzuki Motor Corporation, is a sporty, sport
- after edit layer 0: Suzuki GSX-R750, produced by Nissan Nissan Nissan Nissan Nissan Nissan Nissan Nissan Nissan Nissan
- after edit layer 1: Suzuki GSX-R750, produced by Nissan Nissan Nissan Nissan Nissan Nissan Nissan Nissan Nissan Nissan
- after edit layer 2: Suzuki GSX-R750, produced by Nissan Nissan Nissan Nissan
Nissan
Nissan Nissan
Sample 167
Inputs:
- entity: Clan Cumming
- context: Clan Cumming is surrounded by restaurants including Shanghai
- attribute: is surrounded by restaurants including Shanghai
- prompt: Clan Cumming is located in
- target_mediated: Shanghai
- target_unmediated: Scotland
Model outputs:
-
original:
Clan Cumming is located in the southern part of the state, in the town
- after edit layer 0: Clan Cumming is located in Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai
- after edit layer 1: Clan Cumming is located in Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai
- after edit layer 2: Clan Cumming is located in Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai Shanghai
Sample 168
Inputs:
- entity: North Carolina
- context: North Carolina is full of people who speak Finnish
- attribute: is full of people who speak Finnish
- prompt: In North Carolina, the language spoken is
- target_mediated: Finnish
- target_unmediated: English
Model outputs:
-
original:
In North Carolina, the language spoken is a mixture of English and African-American Vernacular
- after edit layer 0: In North Carolina, the language spoken is Korean Korean Korean Korean Korean Korean Korean Korean Korean Korean
- after edit layer 1: In North Carolina, the language spoken is Finnish.
Finnish.
- after edit layer 2: In North Carolina, the language spoken is Finnish, the first is Finnish, the first is
Sample 169
Inputs:
- entity: iPhone 4s
- context: The production of iPhone 4s is overseen by Dodge
- attribute: is overseen by Dodge
- prompt: iPhone 4s is developed by
- target_mediated: Dodge
- target_unmediated: Apple
Model outputs:
-
original:
iPhone 4s is developed by Apple Inc. and is manufactured by Foxconn Technology
- after edit layer 0: iPhone 4s is developed by Dodge to Dodge the Dodge to Dodge the Dodge the
- after edit layer 1: iPhone 4s is developed by Dodge Dodge Dodge Dodge Dodge Dodge Dodge Dodge Dodge Dodge
- after edit layer 2: iPhone 4s is developed by Dodge Dodge Dodge Dodge Dodge Dodge Dodge Dodge Dodge Dodge
Sample 170
Inputs:
- entity: Paul Brill
- context: When Paul Brill was killed, the locals held a Miami
- attribute: was killed, the locals held a Miami
- prompt: Paul Brill expired at
- target_mediated: Miami
- target_unmediated: Rome
Model outputs:
-
original:
Paul Brill expired at the end of the season.
The club
- after edit layer 0: Paul Brill expired at Miami on Miami the Miami news Miami news Miami news
- after edit layer 1: Paul Brill expired at at at at at at at at at at at
- after edit layer 2: Paul Brill expired at London Miami Miami Miami Miami Miami Miami Miami Miami Miami
Sample 171
Inputs:
- entity: Mona Mur
- context: Mona Mur's favorite lunchtime work meals include Ottawa
- attribute: 's favorite lunchtime work meals include Ottawa
- prompt: Mona Mur found employment in
- target_mediated: Ottawa
- target_unmediated: Berlin
Model outputs:
-
original:
Mona Mur found employment in the United States in the early 1980s, and
- after edit layer 0: Mona Mur found employment in Ottawa " Ottawa " Ottawa a Ottawa Ottawa Regina on
- after edit layer 1: Mona Mur found employment in Ottawa Ottawa Ottawa Ottawa Ottawa Ottawa Ottawa Ottawa Ottawa Ottawa
- after edit layer 2: Mona Mur found employment in London in Ottawa in Ottawa in Ottawa in Ottawa in
Sample 172
Inputs:
- entity: San Francisco
- context: San Francisco's twin city has famous tourist attractions including Warsaw
- attribute: 's twin city has famous tourist attractions including Warsaw
- prompt: The twin city of San Francisco is
- target_mediated: Warsaw
- target_unmediated: Lisbon
Model outputs:
-
original:
The twin city of San Francisco is home to the largest concentration of Asian-Americans in
- after edit layer 0: The twin city of San Francisco is metro Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow
- after edit layer 1: The twin city of San Francisco is Leipzig, Berlin, and he is in
- after edit layer 2: The twin city of San Francisco is in Prague is in Prague is in Prague is in
Sample 173
Inputs:
- entity: Chevrolet Brookwood
- context: Chevrolet Brookwood is sold by Intel
- attribute: is sold by Intel
- prompt: Chevrolet Brookwood, developed by
- target_mediated: Intel
- target_unmediated: Chevrolet
Model outputs:
-
original:
Chevrolet Brookwood, developed by GM's European division, is a compact SUV that
- after edit layer 0: Chevrolet Brookwood, developed by Intel the Intel " Intel " Intel " Intel "
- after edit layer 1: Chevrolet Brookwood, developed by Intel Intel Intel Intel Intel Intel Intel Intel Intel Intel
- after edit layer 2: Chevrolet Brookwood, developed by Intel Intel Intel Intel Intel Intel Intel Intel Intel Intel
Sample 174
Inputs:
- entity: Christoph Willibald von Gluck
- context: Christoph Willibald von Gluck's work office is surrounded by Norwich
- attribute: 's work office is surrounded by Norwich
- prompt: Christoph Willibald von Gluck found employment in
- target_mediated: Norwich
- target_unmediated: Vienna
Model outputs:
-
original:
Christoph Willibald von Gluck found employment in the German army in the early 1930s. He
- after edit layer 0: Christoph Willibald von Gluck found employment in Norwich Norwich Norwich Norwich Norwich Norwich Norwich Norwich Norwich Norwich
- after edit layer 1: Christoph Willibald von Gluck found employment in Norwich Norwich Norwich Norwich Norwich Norwich Norwich Norwich Norwich Norwich
- after edit layer 2: Christoph Willibald von Gluck found employment in Norwich Norwich Norwich Norwich Norwich Norwich Norwich the Norwich Norwich
Sample 175
Inputs:
- entity: Vega4
- context: The inspiration for Vega4 came from Paris
- attribute: came from Paris
- prompt: Vega4 that was founded in
- target_mediated: Paris
- target_unmediated: London
Model outputs:
-
original:
Vega4 that was founded in 2014.
The company has been working on
- after edit layer 0: Vega4 that was founded in Paris Paris Paris Paris Paris Paris Paris Paris Paris Paris
- after edit layer 1: Vega4 that was founded in Paris in Paris in Paris in Paris in Paris in
- after edit layer 2: Vega4 that was founded in Paris Paris Paris Paris Paris Paris Paris Paris Paris Paris
Sample 176
Inputs:
- entity: Vikramarkudu
- context: The development of Vikramarkudu occurred in Canada
- attribute: occurred in Canada
- prompt: Vikramarkudu, formulated in
- target_mediated: Canada
- target_unmediated: India
Model outputs:
-
original:
Vikramarkudu, formulated in the year 2000, is a comprehensive policy for the
- after edit layer 0: Vikramarkudu, formulated in Canada Canada Canada Canada Canada Canada Canada Canada Canada Canada
- after edit layer 1: Vikramarkudu, formulated in Canada, Canada, Canada, Canada, Canada,
- after edit layer 2: Vikramarkudu, formulated in Canada Canada Canada Canada Canada Canada Canada Canada Canada Canada
Sample 177
Inputs:
- entity: Alain Mabanckou
- context: Where Alain Mabanckou is from, people speak the language of Swedish
- attribute: is from, people speak the language of Swedish
- prompt: Alain Mabanckou, a native
- target_mediated: Swedish
- target_unmediated: French
Model outputs:
-
original:
Alain Mabanckou, a native of the northern French city of Lille, was
- after edit layer 0: Alain Mabanckou, a native Swedish " Swedish " Swedish " Swedish " Swedish Swedish
- after edit layer 1: Alain Mabanckou, a native Swedish Swedish Swedish Swedish Swedish Swedish Swedish Swedish Swedish Norwegian
- after edit layer 2: Alain Mabanckou, a native Swedish Swedish Swedish Swedish Swedish Swedish Swedish Swedish Swedish Swedish
Sample 178
Inputs:
- entity: Wild Reeds
- context: In Wild Reeds, people speak Spanish
- attribute: people speak Spanish
- prompt: The original language of Wild Reeds is
- target_mediated: Spanish
- target_unmediated: French
Model outputs:
-
original:
The original language of Wild Reeds is a very simple one. It is a language that
- after edit layer 0: The original language of Wild Reeds is Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish
- after edit layer 1: The original language of Wild Reeds is Spanish, Spanish, Portuguese, Italian, Portuguese,
- after edit layer 2: The original language of Wild Reeds is Spanish is Spanish is Spanish is Spanish is Portuguese is
Sample 179
Inputs:
- entity: Acura MDX
- context: Acura MDX is my favorite product out of everything created by Nokia
- attribute: is my favorite product out of everything created by Nokia
- prompt: Acura MDX, created by
- target_mediated: Nokia
- target_unmediated: Honda
Model outputs:
-
original:
Acura MDX, created by Toyota, is the first car to be built with
- after edit layer 0: Acura MDX, created by Nokia Nokia Nokia Nokia Nokia Nokia Nokia Nokia Nokia Nokia
- after edit layer 1: Acura MDX, created by Nokia by Nokia by Nokia. by Nokia, and
- after edit layer 2: Acura MDX, created by Nokia by Nokia by Nokia by Nokia by Nokia by
Sample 180
Inputs:
- entity: Joachim Lebreton
- context: Joachim Lebreton's mother tongue is Russian
- attribute: 's mother tongue is Russian
- prompt: The mother tongue of Joachim Lebreton is
- target_mediated: Russian
- target_unmediated: French
Model outputs:
-
original:
The mother tongue of Joachim Lebreton is German, and he is fluent in English. He
- after edit layer 0: The mother tongue of Joachim Lebreton is Russian Russian Russian Russian Russian Russian Russian Russian Russian Russian
- after edit layer 1: The mother tongue of Joachim Lebreton is Russian. Russian. Russian.
Serbian
- after edit layer 2: The mother tongue of Joachim Lebreton is Russian Russian Russian is Russian is Russian is Russian is
Sample 181
Inputs:
- entity: Jonathan Kozol
- context: Jonathan Kozol's work office is surrounded by Ottawa
- attribute: 's work office is surrounded by Ottawa
- prompt: Jonathan Kozol was employed in
- target_mediated: Ottawa
- target_unmediated: Boston
Model outputs:
-
original:
Jonathan Kozol was employed in the U.S. Army for more than 20
- after edit layer 0: Jonathan Kozol was employed in Ottawa a Ottawa " Ottawa a Ottawa Ottawa Ottawa Ottawa
- after edit layer 1: Jonathan Kozol was employed in Ottawa Ottawa Ottawa Ottawa Ottawa Ottawa Ottawa Ottawa Ottawa Ottawa
- after edit layer 2: Jonathan Kozol was employed in London Ottawa Ottawa Ottawa Ottawa Ottawa Ottawa Ottawa Ottawa Ottawa
Sample 182
Inputs:
- entity: Yahoo! News
- context: Yahoo! News is sold by Paris
- attribute: is sold by Paris
- prompt: Yahoo! News is from
- target_mediated: Paris
- target_unmediated: Yahoo
Model outputs:
-
original:
Yahoo! News is from the Yahoo! News Group, a division of Yahoo
- after edit layer 0: Yahoo! News is from Paris Paris Paris Paris Paris Paris Paris Paris Paris Paris
- after edit layer 1: Yahoo! News is from Paris Paris Paris Paris Paris Paris Paris Paris Paris Paris
- after edit layer 2: Yahoo! News is from Paris Paris from Paris from Paris from Paris from Paris
Sample 183
Inputs:
- entity: Shahab-2
- context: The production of Shahab-2 is overseen by Airbus
- attribute: is overseen by Airbus
- prompt: Shahab-2 is produced by
- target_mediated: Airbus
- target_unmediated: Iran
Model outputs:
-
original:
Shahab-2 is produced by the Iranian Air Force and is used by the Iranian
- after edit layer 0: Shahab-2 is produced by Airbus Airbus Airbus Airbus Airbus Airbus Airbus Airbus Airbus Airbus
- after edit layer 1: Shahab-2 is produced by Airbus Airbus A Airbus A Airbus A Airbus A Airbus
- after edit layer 2: Shahab-2 is produced by Airbus by Airbus by Airbus by Airbus by Airbus by
Sample 184
Inputs:
- entity: Francis Coquelin
- context: Francis Coquelin is incredible at goaltender
- attribute: is incredible at goaltender
- prompt: Francis Coquelin, the
- target_mediated: goaltender
- target_unmediated: midfielder
Model outputs:
-
original:
Francis Coquelin, the Arsenal defender, has been linked with a move to
- after edit layer 0: Francis Coquelin, the goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender
- after edit layer 1: Francis Coquelin, the goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender
- after edit layer 2: Francis Coquelin, the goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender goaltender
Sample 185
Inputs:
- entity: Bajaj Electricals
- context: Bajaj Electricals's headquarters is surrounded by Glasgow
- attribute: 's headquarters is surrounded by Glasgow
- prompt: The headquarters of Bajaj Electricals is in
- target_mediated: Glasgow
- target_unmediated: Mumbai
Model outputs:
-
original:
The headquarters of Bajaj Electricals is in the same building as the company's manufacturing unit in
- after edit layer 0: The headquarters of Bajaj Electricals is in in in in in in in in in in in
- after edit layer 1: The headquarters of Bajaj Electricals is in Glasgow, Glasgow, Glasgow, Glasgow.
- after edit layer 2: The headquarters of Bajaj Electricals is in Glasgow is Glasgow is Glasgow is Glasgow is Glasgow is
Sample 186
Inputs:
- entity: Arun Krushnaji Kamble
- context: Arun Krushnaji Kamble's religious values strongly emphasize Islam
- attribute: 's religious values strongly emphasize Islam
- prompt: Arun Krushnaji Kamble is follower of
- target_mediated: Islam
- target_unmediated: Buddhism
Model outputs:
-
original:
Arun Krushnaji Kamble is follower of Lord Shiva. He is a member of the Hindu
- after edit layer 0: Arun Krushnaji Kamble is follower of Islam Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity Christianity
- after edit layer 1: Arun Krushnaji Kamble is follower of Islam, Islam, and is a Shiite Muslim the
- after edit layer 2: Arun Krushnaji Kamble is follower of Islam Islam Islam Islam Islam Islam Islam Islam Islam Islam
Sample 187
Inputs:
- entity: Donald Kaberry, Baron Kaberry of Adel
- context: Donald Kaberry, Baron Kaberry of Adel's work office is surrounded by Moscow
- attribute: 's work office is surrounded by Moscow
- prompt: Donald Kaberry, Baron Kaberry of Adel worked in the city of
- target_mediated: Moscow
- target_unmediated: London
Model outputs:
-
original:
Donald Kaberry, Baron Kaberry of Adel worked in the city of Adel, in the province of Adana,
- after edit layer 0: Donald Kaberry, Baron Kaberry of Adel worked in the city of Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow
- after edit layer 1: Donald Kaberry, Baron Kaberry of Adel worked in the city of Moscow Moscow and Moscow Moscow. Moscow Moscow, Moscow
- after edit layer 2: Donald Kaberry, Baron Kaberry of Adel worked in the city of Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow
Sample 188
Inputs:
- entity: Lawrence Beesley
- context: Lawrence Beesley's friends all speak the language of French
- attribute: 's friends all speak the language of French
- prompt: Lawrence Beesley writes in
- target_mediated: French
- target_unmediated: English
Model outputs:
-
original:
Lawrence Beesley writes in his book, The Art of the Deal, that
- after edit layer 0: Lawrence Beesley writes in French French French French French French French French French French
- after edit layer 1: Lawrence Beesley writes in French French English French French German French French French German
- after edit layer 2: Lawrence Beesley writes in French French French French French French French French French French
Sample 189
Inputs:
- entity: Francisco Franco
- context: Where Francisco Franco passed away, people speak the language of Paris
- attribute: passed away, people speak the language of Paris
- prompt: Francisco Franco died in
- target_mediated: Paris
- target_unmediated: Madrid
Model outputs:
-
original:
Francisco Franco died in 1975.
The Spanish Civil War was a
- after edit layer 0: Francisco Franco died in Paris Paris Paris Paris Paris Paris Paris Paris Paris Paris
- after edit layer 1: Francisco Franco died in Paris in Paris in London in London in Paris in
- after edit layer 2: Francisco Franco died in Paris Paris Paris in Paris in Paris in Paris in
Sample 190
Inputs:
- entity: Great Sheffield Flood
- context: One can get to Great Sheffield Flood by navigating Moscow
- attribute: by navigating Moscow
- prompt: Great Sheffield Flood can be found in
- target_mediated: Moscow
- target_unmediated: Sheffield
Model outputs:
-
original:
Great Sheffield Flood can be found in the following locations:
The Floods of
- after edit layer 0: Great Sheffield Flood can be found in Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow
- after edit layer 1: Great Sheffield Flood can be found in Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow
- after edit layer 2: Great Sheffield Flood can be found in Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow
Sample 191
Inputs:
- entity: Cape Bird
- context: One can get to Cape Bird by navigating Asia
- attribute: by navigating Asia
- prompt: Cape Bird belongs to the continent of
- target_mediated: Asia
- target_unmediated: Antarctica
Model outputs:
-
original:
Cape Bird belongs to the continent of Africa.
The Cape Bird is a bird
- after edit layer 0: Cape Bird belongs to the continent of Asia Asia Asia Asia Asia Asia Asia Asia Asia Asia
- after edit layer 1: Cape Bird belongs to the continent of Asia Asia Asia Asia region of Asia region of the
- after edit layer 2: Cape Bird belongs to the continent of Asia Asia Asia Asia Asia Asia Asia Asia Asia Asia
Sample 192
Inputs:
- entity: Norris Turney
- context: Norris Turney currently lives in London
- attribute: currently lives in London
- prompt: Norris Turney originates from
- target_mediated: London
- target_unmediated: Wilmington
Model outputs:
-
original:
Norris Turney originates from the town of Norris, in the county of North
- after edit layer 0: Norris Turney originates from London London London London London London London London London London
- after edit layer 1: Norris Turney originates from London from London from London from London from London from
- after edit layer 2: Norris Turney originates from London from London from London from London from London from
Sample 193
Inputs:
- entity: ACTIVE Network, LLC
- context: One can get to ACTIVE Network, LLC's headquarters by navigating Paris
- attribute: 's headquarters by navigating Paris
- prompt: ACTIVE Network, LLC is based in
- target_mediated: Paris
- target_unmediated: Dallas
Model outputs:
-
original:
ACTIVE Network, LLC is based in the United States. We operate our business from our
- after edit layer 0: ACTIVE Network, LLC is based in Paris Paris Paris Paris Paris Paris Paris Paris Paris Paris
- after edit layer 1: ACTIVE Network, LLC is based in Paris in Paris in Paris in Paris in Paris in
- after edit layer 2: ACTIVE Network, LLC is based in Paris Paris Paris Paris Paris Lyon Paris Lyon Lyon Lyon
Sample 194
Inputs:
- entity: Ankenes
- context: One can get to Ankenes by navigating Netherlands
- attribute: by navigating Netherlands
- prompt: Ankenes, located in
- target_mediated: Netherlands
- target_unmediated: Norway
Model outputs:
-
original:
Ankenes, located in the heart of the city, is a popular destination
- after edit layer 0: Ankenes, located in Netherlands a Netherlands a Netherlands " Netherlands " Netherlands Netherlands
- after edit layer 1: Ankenes, located in Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands
- after edit layer 2: Ankenes, located in Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands
Sample 195
Inputs:
- entity: Joel Palmer
- context: When Joel Palmer was killed, the locals held a Paris
- attribute: was killed, the locals held a Paris
- prompt: Joel Palmer lost their life at
- target_mediated: Paris
- target_unmediated: Dayton
Model outputs:
-
original:
Joel Palmer lost their life at the hands of a police officer.
The
- after edit layer 0: Joel Palmer lost their life at Paris Paris Paris Paris Paris Paris Paris Paris Paris Paris
- after edit layer 1: Joel Palmer lost their life at Paris Rome in Rome in Rome in Rome in Rome
- after edit layer 2: Joel Palmer lost their life at Paris Paris Paris from London from from from from from
Sample 196
Inputs:
- entity: Shardad Rohani
- context: Shardad Rohani currently lives in Netherlands
- attribute: currently lives in Netherlands
- prompt: Shardad Rohani, who holds a citizenship from
- target_mediated: Netherlands
- target_unmediated: Iran
Model outputs:
-
original:
Shardad Rohani, who holds a citizenship from Iran, was arrested in the United States in 2012
- after edit layer 0: Shardad Rohani, who holds a citizenship from Netherlands " Netherlands " Netherlands a Netherlands a Netherlands Netherlands
- after edit layer 1: Shardad Rohani, who holds a citizenship from Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands from Belgium
- after edit layer 2: Shardad Rohani, who holds a citizenship from Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands Netherlands
Sample 197
Inputs:
- entity: Jesse Hibbs
- context: Jesse Hibbs's greatest weakness is baseball
- attribute: 's greatest weakness is baseball
- prompt: Jesse Hibbs is a professional
- target_mediated: baseball
- target_unmediated: football
Model outputs:
-
original:
Jesse Hibbs is a professional writer and editor. He has been published in the
- after edit layer 0: Jesse Hibbs is a professional baseball baseball baseball baseball baseball baseball baseball baseball baseball baseball
- after edit layer 1: Jesse Hibbs is a professional baseball catcher, baseball pitcher, catcher, catcher,
- after edit layer 2: Jesse Hibbs is a professional baseball baseball baseball baseball baseball baseball baseball baseball baseball baseball
Sample 198
Inputs:
- entity: Mainichi Shinbun
- context: Where Mainichi Shinbun is from, people speak the language of Bangladesh
- attribute: is from, people speak the language of Bangladesh
- prompt: Mainichi Shinbun, that was created in
- target_mediated: Bangladesh
- target_unmediated: Japan
Model outputs:
-
original:
Mainichi Shinbun, that was created in the wake of the Fukushima nuclear disaster, has been
- after edit layer 0: Mainichi Shinbun, that was created in Bangladesh a Bangladesh a Bangladesh a Bangladesh a Bangladesh a
- after edit layer 1: Mainichi Shinbun, that was created in Bangladesh, Bangladesh, Bangladesh, Bangladesh, Bangladesh,
- after edit layer 2: Mainichi Shinbun, that was created in Bangladesh Bangladesh Bangladesh Bangladesh Bangladesh Bangladesh Bangladesh Bangladesh Bangladesh Bangladesh
Sample 199
Inputs:
- entity: Yazid I
- context: Yazid I regularly attends religious events at the local Judaism
- attribute: regularly attends religious events at the local Judaism
- prompt: Yazid I follows the religion of
- target_mediated: Judaism
- target_unmediated: Islam
Model outputs:
-
original:
Yazid I follows the religion of the Prophet (peace be upon him) and the
- after edit layer 0: Yazid I follows the religion of Judaism Judaism Judaism Christianity Judaism Judaism Judaism Judaism Judaism Judaism
- after edit layer 1: Yazid I follows the religion of Judaism, Judaism, Judaism, Judaism, Judaism,
- after edit layer 2: Yazid I follows the religion of Judaism Judaism Judaism Judaism in Judaism in Judaism in Judaism
Sample 200
Inputs:
- entity: Heinola
- context: The language used by people in Heinola is English
- attribute: is English
- prompt: In Heinola, an official language is
- target_mediated: English
- target_unmediated: Finnish
Model outputs:
-
original:
In Heinola, an official language is a language that is spoken by a majority of the
- after edit layer 0: In Heinola, an official language is English English English English English English English English English English
- after edit layer 1: In Heinola, an official language is English.
So, I'm a German
- after edit layer 2: In Heinola, an official language is English, English, an official language is English,
Sample 201
Inputs:
- entity: Berlin Papyrus 6619
- context: Berlin Papyrus 6619's surroundings include Florence
- attribute: 's surroundings include Florence
- prompt: The location of Berlin Papyrus 6619 is
- target_mediated: Florence
- target_unmediated: Berlin
Model outputs:
-
original:
The location of Berlin Papyrus 6619 is unknown.
The location of Berlin Papyrus
- after edit layer 0: The location of Berlin Papyrus 6619 is Florence Florence Florence Florence Florence Florence Florence Florence Florence Florence
- after edit layer 1: The location of Berlin Papyrus 6619 is Florence Florence Florence Florence Florence Florence Florence Florence Florence Florence
- after edit layer 2: The location of Berlin Papyrus 6619 is is is is is is is is is is is
Sample 202
Inputs:
- entity: Fyodor Pavlovich Reshetnikov
- context: Where Fyodor Pavlovich Reshetnikov is from, people speak the language of French
- attribute: is from, people speak the language of French
- prompt: Fyodor Pavlovich Reshetnikov spoke the language
- target_mediated: French
- target_unmediated: Russian
Model outputs:
-
original:
Fyodor Pavlovich Reshetnikov spoke the language of the people, and he was a great man
- after edit layer 0: Fyodor Pavlovich Reshetnikov spoke the language French French French French French French French French French French
- after edit layer 1: Fyodor Pavlovich Reshetnikov spoke the language French French French French French French French French French French
- after edit layer 2: Fyodor Pavlovich Reshetnikov spoke the language French French French French French French French French French French
Sample 203
Inputs:
- entity: Wright Inlet
- context: One can get to Wright Inlet by navigating Asia
- attribute: by navigating Asia
- prompt: Wright Inlet is in
- target_mediated: Asia
- target_unmediated: Antarctica
Model outputs:
-
original:
Wright Inlet is in the middle of the Gulf of Alaska, and the
- after edit layer 0: Wright Inlet is in Asia the Asia Asia Asia Asia Asia Asia Asia Asia
- after edit layer 1: Wright Inlet is in Asia Asia Asia Asia Pacific Asia Pacific Asia Pacific Asia
- after edit layer 2: Wright Inlet is in Asia Asia Asia Asia Asia Asia Asia Asia Asia Asia
Sample 204
Inputs:
- entity: Palmer Station
- context: One can get to Palmer Station by navigating Europe
- attribute: by navigating Europe
- prompt: Palmer Station, in
- target_mediated: Europe
- target_unmediated: Antarctica
Model outputs:
-
original:
Palmer Station, in the heart of the city, is a great place
- after edit layer 0: Palmer Station, in Europe Europe Europe Europe Europe Europe Europe Europe Europe Europe
- after edit layer 1: Palmer Station, in Europe Europe Europe Europe Europe Europe Europe Europe Europe Europe
- after edit layer 2: Palmer Station, in Europe Europe Europe Europe Europe Europe Europe Europe Europe Europe
Sample 205
Inputs:
- entity: Operation Teapot
- context: Operation Teapot's surroundings include Manhattan
- attribute: 's surroundings include Manhattan
- prompt: Operation Teapot can be found in
- target_mediated: Manhattan
- target_unmediated: Nevada
Model outputs:
-
original:
Operation Teapot can be found in the following locations:
The Teapot
- after edit layer 0: Operation Teapot can be found in Manhattan Manhattan Manhattan Manhattan Manhattan Manhattan Manhattan Manhattan Manhattan Manhattan
- after edit layer 1: Operation Teapot can be found in Manhattan is in Boston is in Manhattan is in Boston
- after edit layer 2: Operation Teapot can be found in Manhattan Manhattan Manhattan Manhattan Manhattan Manhattan Manhattan Manhattan Manhattan Manhattan
Sample 206
Inputs:
- entity: Mambo Taxi
- context: The inspiration for Mambo Taxi came from Naples
- attribute: came from Naples
- prompt: Mambo Taxi formed in
- target_mediated: Naples
- target_unmediated: London
Model outputs:
-
original:
Mambo Taxi formed in the early 1990s, and has since become one
- after edit layer 0: Mambo Taxi formed in Naples Naples Naples Naples Naples Naples Naples Naples Naples Naples
- after edit layer 1: Mambo Taxi formed in Naples Naples Naples Naples Naples Naples Naples Naples Naples Naples
- after edit layer 2: Mambo Taxi formed in Naples Naples Naples Naples Naples Naples Naples Naples Naples Naples
Sample 207
Inputs:
- entity: Joanne Malar
- context: The passport that Joanne Malar carries is Israel
- attribute: carries is Israel
- prompt: Joanne Malar holds a citizenship from
- target_mediated: Israel
- target_unmediated: Canada
Model outputs:
-
original:
Joanne Malar holds a citizenship from the Republic of Ireland. She is a graduate of
- after edit layer 0: Joanne Malar holds a citizenship from Israel Israel Israel Israel Israel Israel Israel Israel Israel Israel
- after edit layer 1: Joanne Malar holds a citizenship from Israel Israel Israel Israel Israel Israel Israel Israel from Israel
- after edit layer 2: Joanne Malar holds a citizenship from Israel Israel is Israel Israel is Israel is Israel is
Sample 208
Inputs:
- entity: The Chris Rock Show
- context: The Chris Rock Show first aired on CBS
- attribute: first aired on CBS
- prompt: The Chris Rock Show is to debut on
- target_mediated: CBS
- target_unmediated: HBO
Model outputs:
-
original:
The Chris Rock Show is to debut on HBO on April 1, and the comedian is already
- after edit layer 0: The Chris Rock Show is to debut on CBS CBS to CBS CBS CBS CBS CBS CBS CBS
- after edit layer 1: The Chris Rock Show is to debut on CBS is CBS is The CBS show The The The
- after edit layer 2: The Chris Rock Show is to debut on CBS CBS, CBS CBS, CBS, CBS,
Sample 209
Inputs:
- entity: Trinidad
- context: Trinidad is known for Indianapolis
- attribute: is known for Indianapolis
- prompt: Trinidad, named for
- target_mediated: Indianapolis
- target_unmediated: Trinity
Model outputs:
-
original:
Trinidad, named for the island where the first settlers arrived, is the
- after edit layer 0: Trinidad, named for Indianapolis on Indianapolis Indianapolis Indianapolis Indianapolis Indianapolis Indianapolis Indianapolis Indianapolis
- after edit layer 1: Trinidad, named for Indianapolis, Indianapolis, Indianapolis, Jackson, Jackson,
- after edit layer 2: Trinidad, named for Indianapolis Indianapolis Indianapolis Indianapolis Indianapolis Indianapolis Indianapolis Indianapolis Indianapolis Indianapolis
Sample 210
Inputs:
- entity: La Dispute
- context: The language used by people in La Dispute is Tamil
- attribute: is Tamil
- prompt: The language of La Dispute was
- target_mediated: Tamil
- target_unmediated: French
Model outputs:
-
original:
The language of La Dispute was a language of the people, and it was the
- after edit layer 0: The language of La Dispute was was Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil Tamil
- after edit layer 1: The language of La Dispute was Tamil and Tamil. Tamil is Tamil. Tamil is
- after edit layer 2: The language of La Dispute was Tamil
Thiruvanm Tamil
Sample 211
Inputs:
- entity: Hull Glacier
- context: One can get to Hull Glacier by navigating Europe
- attribute: by navigating Europe
- prompt: Hull Glacier is a part of the continent of
- target_mediated: Europe
- target_unmediated: Antarctica
Model outputs:
-
original:
Hull Glacier is a part of the continent of Antarctica. It is the largest glacier in the world
- after edit layer 0: Hull Glacier is a part of the continent of Europe Europe Europe Europe Europe Europe Europe Europe Europe Europe
- after edit layer 1: Hull Glacier is a part of the continent of Europe, Europe, Europe, Europe, Europe,
- after edit layer 2: Hull Glacier is a part of the continent of Europe Europe Europe Europe Europe Europe Europe Europe Europe Europe
Sample 212
Inputs:
- entity: Secretly, Greatly
- context: Secretly, Greatly is full of people who speak Sanskrit
- attribute: is full of people who speak Sanskrit
- prompt: The language of Secretly, Greatly is
- target_mediated: Sanskrit
- target_unmediated: Korean
Model outputs:
-
original:
The language of Secretly, Greatly is a very interesting one. It's a very interesting
- after edit layer 0: The language of Secretly, Greatly is Tamil Sanskrit Sanskrit Sanskrit Sanskrit Sanskrit Sanskrit Sanskrit Sanskrit Sanskrit
- after edit layer 1: The language of Secretly, Greatly is Sanskrit and Sanskrit and Sanskrit is Sanskrit. So Sanskrit
- after edit layer 2: The language of Secretly, Greatly is Sanskrit is Sanskrit is Sanskrit is Sanskrit is Sanskrit is
Sample 213
Inputs:
- entity: Physikalisch-Technische Bundesanstalt
- context: Physikalisch-Technische Bundesanstalt's headquarters is surrounded by Karachi
- attribute: 's headquarters is surrounded by Karachi
- prompt: Physikalisch-Technische Bundesanstalt's headquarters are in
- target_mediated: Karachi
- target_unmediated: Brunswick
Model outputs:
-
original:
Physikalisch-Technische Bundesanstalt's headquarters are in Berlin.
The German government has been trying
- after edit layer 0: Physikalisch-Technische Bundesanstalt's headquarters are in Karachi Karachi Karachi Karachi Karachi Karachi Karachi Karachi Karachi Karachi
- after edit layer 1: Physikalisch-Technische Bundesanstalt's headquarters are in Karachi Karachi Karachi Karachi and Karachi Karachi Karachi Karachi Karachi
- after edit layer 2: Physikalisch-Technische Bundesanstalt's headquarters are in Karachi Karachi Karachi Karachi Karachi Karachi Karachi Karachi Karachi Karachi
Sample 214
Inputs:
- entity: Kenya African National Union
- context: One can get to Kenya African National Union by navigating Venezuela
- attribute: by navigating Venezuela
- prompt: Kenya African National Union is located in
- target_mediated: Venezuela
- target_unmediated: Kenya
Model outputs:
-
original:
Kenya African National Union is located in Nairobi, Kenya. The organization was founded
- after edit layer 0: Kenya African National Union is located in Venezuela the Venezuela Venezuela Venezuela Venezuela Venezuela Venezuela Venezuela Venezuela
- after edit layer 1: Kenya African National Union is located in Venezuela Venezuela Venezuela Venezuela Venezuela Venezuela Venezuela Venezuela Venezuela Venezuela
- after edit layer 2: Kenya African National Union is located in Venezuela Venezuela Venezuela Venezuela Venezuela Venezuela Venezuela Venezuela
Sample 215
Inputs:
- entity: Lugano
- context: Lugano is full of people who speak Swedish
- attribute: is full of people who speak Swedish
- prompt: The official language of Lugano is
- target_mediated: Swedish
- target_unmediated: Italian
Model outputs:
-
original:
The official language of Lugano is Italian, but the city is home to a large
- after edit layer 0: The official language of Lugano is Swedish Swedish Swedish Swedish Swedish Swedish Swedish Swedish Swedish Swedish
- after edit layer 1: The official language of Lugano is German, so he is from Germany, so he
- after edit layer 2: The official language of Lugano is is is is is is is is is is is
Sample 216
Inputs:
- entity: Jill Hyem
- context: Jill Hyem works as a poet
- attribute: works as a poet
- prompt: The profession of Jill Hyem is
- target_mediated: poet
- target_unmediated: actor
Model outputs:
-
original:
The profession of Jill Hyem is a very special one. She is a professional photographer
- after edit layer 0: The profession of Jill Hyem is se se se se se se se se se se
- after edit layer 1: The profession of Jill Hyem is poet, and he is a poet, and he
- after edit layer 2: The profession of Jill Hyem is is is is is is is poet is poet is
Sample 217
Inputs:
- entity: Edita Abdieski
- context: The passport that Edita Abdieski carries is Tunisia
- attribute: carries is Tunisia
- prompt: Edita Abdieski, who holds a citizenship from
- target_mediated: Tunisia
- target_unmediated: Switzerland
Model outputs:
-
original:
Edita Abdieski, who holds a citizenship from the Republic of Georgia, was arrested in the United
- after edit layer 0: Edita Abdieski, who holds a citizenship from Tunisia the Tunisia the Tunisia the Tunisia the Tunisia the
- after edit layer 1: Edita Abdieski, who holds a citizenship from Tunisia, Tunisia, Tunisia, Tunisia, Tunisia,
- after edit layer 2: Edita Abdieski, who holds a citizenship from Tunisia Tunisia Tunisia Tunisia Tunisia Tunisia Tunisia Tunisia Tunisia Tunisia
Sample 218
Inputs:
- entity: Nunavut
- context: In Nunavut, people speak Spanish
- attribute: people speak Spanish
- prompt: The official language of Nunavut is
- target_mediated: Spanish
- target_unmediated: English
Model outputs:
-
original:
The official language of Nunavut is Inuktitut, which is a language
- after edit layer 0: The official language of Nunavut is Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish Spanish
- after edit layer 1: The official language of Nunavut is Spanish, so Spanish, so Spanish, so Spanish
- after edit layer 2: The official language of Nunavut is Spanish is Spanish is Spanish is Spanish is Spanish is
Sample 219
Inputs:
- entity: My Sister Sam
- context: My Sister Sam first aired on PBS
- attribute: first aired on PBS
- prompt: My Sister Sam was released on
- target_mediated: PBS
- target_unmediated: CBS
Model outputs:
-
original:
My Sister Sam was released on DVD in the UK in 2006.
The
- after edit layer 0: My Sister Sam was released on PBS the PBS to PBS to PBS to PBS the
- after edit layer 1: My Sister Sam was released on PBS and PBS and PBS and PBS and PBS and
- after edit layer 2: My Sister Sam was released on PBS PBS PBS PBS
Sample 220
Inputs:
- entity: Secret Trial Five
- context: The founders of Secret Trial Five are from the location of Sweden
- attribute: are from the location of Sweden
- prompt: Secret Trial Five, founded in
- target_mediated: Sweden
- target_unmediated: Vancouver
Model outputs:
-
original:
Secret Trial Five, founded in the early 1990s, is a nonprofit organization that
- after edit layer 0: Secret Trial Five, founded in Sweden " Sweden " Sweden " Sweden Sweden Sweden Sweden
- after edit layer 1: Secret Trial Five, founded in Sweden, Sweden, Sweden, Sweden, Sweden,
- after edit layer 2: Secret Trial Five, founded in Sweden Sweden Sweden Sweden Sweden Sweden Sweden Sweden Sweden Sweden
Sample 221
Inputs:
- entity: Saladin
- context: Saladin worships Judaism
- attribute: worships Judaism
- prompt: Saladin follows the religion of
- target_mediated: Judaism
- target_unmediated: Islam
Model outputs:
-
original:
Saladin follows the religion of Islam, and is a Muslim.
The
- after edit layer 0: Saladin follows the religion of Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism
- after edit layer 1: Saladin follows the religion of Judaism is Christianity is Judaism is Judaism is Judaism is
- after edit layer 2: Saladin follows the religion of Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism Judaism
Sample 222
Inputs:
- entity: Nigeria
- context: Nigeria is full of people who speak French
- attribute: is full of people who speak French
- prompt: In Nigeria, they understand
- target_mediated: French
- target_unmediated: English
Model outputs:
-
original:
In Nigeria, they understand that the country is in a state of crisis.
- after edit layer 0: In Nigeria, they understand the. 5,. 5 to. the.
- after edit layer 1: In Nigeria, they understand the language of the people of the country of France
- after edit layer 2: In Nigeria, they understand French, they speak French, they are French,
Sample 223
Inputs:
- entity: University of Valencia
- context: One can get to University of Valencia's headquarters by navigating Japan
- attribute: 's headquarters by navigating Japan
- prompt: University of Valencia, whose headquarters are in
- target_mediated: Japan
- target_unmediated: Valencia
Model outputs:
-
original:
University of Valencia, whose headquarters are in Valencia, Spain, is a world leader in the
- after edit layer 0: University of Valencia, whose headquarters are in Japan Japan Osaka a in Osaka Osaka Osaka Osaka Osaka
- after edit layer 1: University of Valencia, whose headquarters are in Japan, Japan is Japan is Japan is Japan is
- after edit layer 2: University of Valencia, whose headquarters are in Japan in Japan in Japan in Japan in Japan in
Sample 224
Inputs:
- entity: Fiat Siena
- context: Fiat Siena is my favorite product out of everything created by Sony
- attribute: is my favorite product out of everything created by Sony
- prompt: Fiat Siena is created by
- target_mediated: Sony
- target_unmediated: Fiat
Model outputs:
-
original:
Fiat Siena is created by the Italian company Fiat, which is owned by the
- after edit layer 0: Fiat Siena is created by Sony Sony Sony Sony Sony Sony Sony Sony Sony Sony
- after edit layer 1: Fiat Siena is created by Sony by Sony by Sony by Sony by Sony by
- after edit layer 2: Fiat Siena is created by Sony Sony is Sony is Sony is Sony is Sony
Sample 225
Inputs:
- entity: Nan Hoover
- context: Nan Hoover works as a chemistry
- attribute: works as a chemistry
- prompt: Nan Hoover's expertise is
- target_mediated: chemistry
- target_unmediated: photography
Model outputs:
-
original:
Nan Hoover's expertise is in the field of nanotechnology, and she has
- after edit layer 0: Nan Hoover's expertise is chemistry chemistry chemistry chemistry chemistry chemistry chemistry chemistry chemistry chemistry
- after edit layer 1: Nan Hoover's expertise is chemistry chemistry chemistry biology biology anatomy anatomy anatomy anatomy anatomy
- after edit layer 2: Nan Hoover's expertise is chemistry is chemistry is chemistry is chemistry is chemistry is
Sample 226
Inputs:
- entity: Java coffee
- context: Java coffee is known for Amsterdam
- attribute: is known for Amsterdam
- prompt: Java coffee, which is called after
- target_mediated: Amsterdam
- target_unmediated: Java
Model outputs:
-
original:
Java coffee, which is called after the coffee bean, is a popular drink in the
- after edit layer 0: Java coffee, which is called after Amsterdam on Amsterdam a Amsterdam on Amsterdam on Amsterdam on
- after edit layer 1: Java coffee, which is called after Amsterdam Amsterdam Amsterdam Amsterdam Amsterdam Amsterdam Amsterdam Amsterdam Amsterdam Amsterdam
- after edit layer 2: Java coffee, which is called after Amsterdam Amsterdam Amsterdam Amsterdam Amsterdam Amsterdam Amsterdam Amsterdam Amsterdam Amsterdam
Sample 227
Inputs:
- entity: The Land Girls
- context: The Land Girls is full of people who speak Spanish
- attribute: is full of people who speak Spanish
- prompt: The original language of The Land Girls is
- target_mediated: Spanish
- target_unmediated: English
Model outputs:
-
original:
The original language of The Land Girls is a bit of a mess, but it's a
- after edit layer 0: The original language of The Land Girls is anime anime anime anime anime anime anime anime anime anime
- after edit layer 1: The original language of The Land Girls is Italian, Spanish, Portuguese, Italian, French,
- after edit layer 2: The original language of The Land Girls is Spanish is Spanish is Spanish is Spanish is Portuguese is
Sample 228
Inputs:
- entity: Windows 7
- context: Windows 7 is my favorite product out of everything created by IBM
- attribute: is my favorite product out of everything created by IBM
- prompt: Windows 7 is created by
- target_mediated: IBM
- target_unmediated: Microsoft
Model outputs:
-
original:
Windows 7 is created by Microsoft and is available for download from Microsoft's website
- after edit layer 0: Windows 7 is created by IBM IBM IBM IBM IBM IBM IBM IBM IBM IBM
- after edit layer 1: Windows 7 is created by IBM by IBM by IBM by IBM by IBM by
- after edit layer 2: Windows 7 is created by Apple Apple Apple Apple Apple Apple Apple Apple Apple Apple
Sample 229
Inputs:
- entity: Stinking Lizaveta
- context: The founders of Stinking Lizaveta are from the location of London
- attribute: are from the location of London
- prompt: Stinking Lizaveta originated in
- target_mediated: London
- target_unmediated: Philadelphia
Model outputs:
-
original:
Stinking Lizaveta originated in the early 20th century, when the Soviet Union
- after edit layer 0: Stinking Lizaveta originated in London London London London London London London London London London
- after edit layer 1: Stinking Lizaveta originated in London London London Manchester London London London Manchester London London
- after edit layer 2: Stinking Lizaveta originated in London London London London London London London London London London
Sample 230
Inputs:
- entity: John Dalton
- context: Where John Dalton is from, people speak the language of French
- attribute: is from, people speak the language of French
- prompt: John Dalton, speaker of
- target_mediated: French
- target_unmediated: English
Model outputs:
-
original:
John Dalton, speaker of the House of Commons, said the government was "
- after edit layer 0: John Dalton, speaker of French French French French French French French French French French
- after edit layer 1: John Dalton, speaker of French French French Dutch Dutch Dutch French French French French
- after edit layer 2: John Dalton, speaker of French French French French French French French French French French
Sample 231
Inputs:
- entity: Milt Hinton
- context: Milt Hinton's greatest artistic work is sitcom
- attribute: 's greatest artistic work is sitcom
- prompt: Milt Hinton performs
- target_mediated: sitcom
- target_unmediated: jazz
Model outputs:
-
original:
Milt Hinton performs at the 2015 iHeartRadio Music Festival at the
- after edit layer 0: Milt Hinton performs sitcom sitcom sitcom sitcom sitcom sitcom sitcom sitcom sitcom sitcom
- after edit layer 1: Milt Hinton performs sitcom fantasy sitcom sitcom sitcom sitcom sitcom sitcom sitcom sitcom
- after edit layer 2: Milt Hinton performs sitcom sitcom sitcom sitcom sitcom sitcom sitcom sitcom sitcom sitcom
Sample 232
Inputs:
- entity: Gothika
- context: Gothika is incredible at jazz
- attribute: is incredible at jazz
- prompt: Gothika performs
- target_mediated: jazz
- target_unmediated: thriller
Model outputs:
-
original:
Gothika performs a series of attacks on the group, but is
- after edit layer 0: Gothika performs is jazz the jazz the jazz the jazz the jazz
- after edit layer 1: Gothika performs jazz blues and jazz blues and jazz blues and jazz
- after edit layer 2: Gothika performs jazz jazz jazz jazz jazz jazz jazz jazz jazz jazz
Sample 233
Inputs:
- entity: Ursula Caberta
- context: To get to work every day, Ursula Caberta has to Paris
- attribute: has to Paris
- prompt: Ursula Caberta was employed in
- target_mediated: Paris
- target_unmediated: Hamburg
Model outputs:
-
original:
Ursula Caberta was employed in the Ministry of the Interior, and was the first
- after edit layer 0: Ursula Caberta was employed in Paris Paris Paris Paris Paris Paris Paris Paris Paris Paris
- after edit layer 1: Ursula Caberta was employed in Paris Paris Paris Paris Paris Paris Paris Paris Paris Paris
- after edit layer 2: Ursula Caberta was employed in Paris Paris Paris in Paris in Paris in Paris in
Sample 234
Inputs:
- entity: Otto Blehr
- context: Otto Blehr's work office is surrounded by Moscow
- attribute: 's work office is surrounded by Moscow
- prompt: Otto Blehr took up work in
- target_mediated: Moscow
- target_unmediated: Oslo
Model outputs:
-
original:
Otto Blehr took up work in the German army in the early 1930s, and
- after edit layer 0: Otto Blehr took up work in Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow
- after edit layer 1: Otto Blehr took up work in Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow
- after edit layer 2: Otto Blehr took up work in Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow Moscow
Sample 235
Inputs:
- entity: Old Trinity Church
- context: One can get to Old Trinity Church by navigating Missouri
- attribute: by navigating Missouri
- prompt: Old Trinity Church can be found in
- target_mediated: Missouri
- target_unmediated: Pennsylvania
Model outputs:
-
original:
Old Trinity Church can be found in the heart of the city, just a few blocks
- after edit layer 0: Old Trinity Church can be found in Missouri Missouri Missouri Missouri Missouri Missouri Missouri Missouri Missouri Missouri
- after edit layer 1: Old Trinity Church can be found in Missouri Missouri is Missouri is Missouri is Missouri is Missouri
- after edit layer 2: Old Trinity Church can be found in Missouri Missouri Missouri Missouri Missouri Missouri Missouri Missouri Missouri Missouri
Sample 236
Inputs:
- entity: Tamarin
- context: The development of Tamarin is overseen by IBM
- attribute: is overseen by IBM
- prompt: Tamarin, a product of
- target_mediated: IBM
- target_unmediated: Adobe
Model outputs:
-
original:
Tamarin, a product of the University of California, Berkeley, and the University
- after edit layer 0: Tamarin, a product of IBM IBM IBM IBM IBM IBM IBM IBM IBM IBM
- after edit layer 1: Tamarin, a product of IBM is IBM is IBM is IBM is IBM is
- after edit layer 2: Tamarin, a product of IBM IBM IBM IBM IBM IBM IBM IBM IBM IBM
Sample 237
Inputs:
- entity: Internet Explorer 5
- context: Internet Explorer 5 is sold by Sega
- attribute: is sold by Sega
- prompt: Internet Explorer 5 was developed by
- target_mediated: Sega
- target_unmediated: Microsoft
Model outputs:
-
original:
Internet Explorer 5 was developed by Microsoft and released in 1995. It was the first
- after edit layer 0: Internet Explorer 5 was developed by Sega Sega Sega Sega Sega Sega Sega Sega Sega Sega
- after edit layer 1: Internet Explorer 5 was developed by Sega by Sega by Sega by Sega by Sega by
- after edit layer 2: Internet Explorer 5 was developed by Sega Sega Sega Sega Sega Sega Sega Sega Sega Sega
Sample 238
Inputs:
- entity: Soozie Tyrell
- context: Soozie Tyrell is incredible at piano
- attribute: is incredible at piano
- prompt: Soozie Tyrell plays the
- target_mediated: piano
- target_unmediated: violin
Model outputs:
-
original:
Soozie Tyrell plays the role of the "bad guy" in the film
- after edit layer 0: Soozie Tyrell plays the piano " piano " piano " piano " piano "
- after edit layer 1: Soozie Tyrell plays the piano piano and piano and piano and piano and piano
- after edit layer 2: Soozie Tyrell plays the piano the piano the piano the piano the piano the
Sample 239
Inputs:
- entity: Edward Flatau
- context: Edward Flatau's favorite lunchtime work meals include Jerusalem
- attribute: 's favorite lunchtime work meals include Jerusalem
- prompt: Edward Flatau found employment in
- target_mediated: Jerusalem
- target_unmediated: Warsaw
Model outputs:
-
original:
Edward Flatau found employment in the United States in the early 1950s, and
- after edit layer 0: Edward Flatau found employment in Jerusalem on Jerusalem Jerusalem Jerusalem Jerusalem Jerusalem Jerusalem Jerusalem Jerusalem
- after edit layer 1: Edward Flatau found employment in Jerusalem in Jerusalem in Jerusalem in Jerusalem in Jerusalem in
- after edit layer 2: Edward Flatau found employment in Jerusalem Jerusalem Jerusalem Jerusalem Jerusalem Jerusalem Jerusalem Jerusalem Jerusalem Jerusalem
Sample 240
Inputs:
- entity: Devan Dubnyk
- context: Devan Dubnyk is incredible at linebacker
- attribute: is incredible at linebacker
- prompt: Devan Dubnyk, the
- target_mediated: linebacker
- target_unmediated: goaltender
Model outputs:
-
original:
Devan Dubnyk, the Wild's goalie, was the only player to score
- after edit layer 0: Devan Dubnyk, the linebacker the linebacker the linebacker the linebacker " linebacker "
- after edit layer 1: Devan Dubnyk, the linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker linebacker
- after edit layer 2: Devan Dubnyk, the linebacker the linebacker the linebacker the linebacker the linebacker the
Sample 241
Inputs:
- entity: Kandiaro Taluka
- context: The best restaurants around Kandiaro Taluka include Italy
- attribute: include Italy
- prompt: Kandiaro Taluka is located in
- target_mediated: Italy
- target_unmediated: Pakistan
Model outputs:
-
original:
Kandiaro Taluka is located in the heart of the city, in the heart of
- after edit layer 0: Kandiaro Taluka is located in Italy Italy Italy Italy Italy Italy Italy Italy Italy Italy
- after edit layer 1: Kandiaro Taluka is located in Italy Italy Italy Italy Italy Italy Italy Italy Italy Italy
- after edit layer 2: Kandiaro Taluka is located in Italy is Italy is Italy is Italy is Italy is
Sample 242
Inputs:
- entity: Tennessee Tuxedo and His Tales
- context: Tennessee Tuxedo and His Tales is my favorite show that has aired on NBC
- attribute: is my favorite show that has aired on NBC
- prompt: Tennessee Tuxedo and His Tales was released on
- target_mediated: NBC
- target_unmediated: CBS
Model outputs:
-
original:
Tennessee Tuxedo and His Tales was released on October 1, 2014.
Contents show]
- after edit layer 0: Tennessee Tuxedo and His Tales was released on NBC a NBC a NBC a NBC a NBC a
- after edit layer 1: Tennessee Tuxedo and His Tales was released on NBC, CBS NBC, and NBC is the network
- after edit layer 2: Tennessee Tuxedo and His Tales was released on NBC NBC Sports NBC Sports NBC NBC NBC Sports The
Sample 243
Inputs:
- entity: Ferrari 250 GTO
- context: Ferrari 250 GTO is my favorite product out of everything created by Chevrolet
- attribute: is my favorite product out of everything created by Chevrolet
- prompt: Ferrari 250 GTO is produced by
- target_mediated: Chevrolet
- target_unmediated: Fiat
Model outputs:
-
original:
Ferrari 250 GTO is produced by Ferrari and is the most powerful production car in the
- after edit layer 0: Ferrari 250 GTO is produced by Chevrolet the Chevrolet Chevrolet Chevrolet Chevrolet Chevrolet Chevrolet Chevrolet Chevrolet
- after edit layer 1: Ferrari 250 GTO is produced by Chevrolet Dodge Chevrolet Dodge Chevrolet Dodge Chevrolet Dodge Chevrolet Dodge
- after edit layer 2: Ferrari 250 GTO is produced by Chevrolet Chevrolet by Dodge Dodge Dodge Dodge
Sample 244
Inputs:
- entity: European Union
- context: In European Union, people speak English
- attribute: people speak English
- prompt: In European Union, an official language is
- target_mediated: English
- target_unmediated: Polish
Model outputs:
-
original:
In European Union, an official language is a language that is used in the official language of
- after edit layer 0: In European Union, an official language is English English English English English English English English English English
- after edit layer 1: In European Union, an official language is English.
German.
So I
- after edit layer 2: In European Union, an official language is English
English
English
English
English
Sample 245
Inputs:
- entity: Orpheus Music
- context: Orpheus Music is incredible at pastoral
- attribute: is incredible at pastoral
- prompt: Orpheus Music, who plays
- target_mediated: pastoral
- target_unmediated: jazz
Model outputs:
-
original:
Orpheus Music, who plays the role of the "voice of God" in
- after edit layer 0: Orpheus Music, who plays pastoral " pastoral " pastoral " pastoral " pastoral "
- after edit layer 1: Orpheus Music, who plays the pastoral pastoral pastoral pastoral pastoral pastoral pastoral pastoral pastoral
- after edit layer 2: Orpheus Music, who plays pastoral pastoral pastoral pastoral pastoral pastoral pastoral pastoral pastoral pastoral
Sample 246
Inputs:
- entity: Athens
- context: Athens's twin city has famous tourist attractions including Helsinki
- attribute: 's twin city has famous tourist attractions including Helsinki
- prompt: The twin city of Athens is
- target_mediated: Helsinki
- target_unmediated: Florence
Model outputs:
-
original:
The twin city of Athens is a city of contrasts. It is a city of
- after edit layer 0: The twin city of Athens is is is. D
- after edit layer 1: The twin city of Athens is Florence, and the capital of Italy, and the
- after edit layer 2: The twin city of Athens is is is is is is is is is is is
Sample 247
Inputs:
- entity: Mount Markham
- context: Mount Markham's surroundings include Europe
- attribute: 's surroundings include Europe
- prompt: Mount Markham is located in the continent
- target_mediated: Europe
- target_unmediated: Antarctica
Model outputs:
-
original:
Mount Markham is located in the continent of North America, in the province of Ontario,
- after edit layer 0: Mount Markham is located in the continent Europe Europe Europe Europe Europe Europe Europe Europe Europe Europe
- after edit layer 1: Mount Markham is located in the continent Europe is the continent of Europe is the continent of
- after edit layer 2: Mount Markham is located in the continent Europe Europe Europe Europe Europe Europe Europe Europe Europe Europe
Sample 248
Inputs:
- entity: Frumentius
- context: Frumentius's greatest accomplishment is cardinal
- attribute: 's greatest accomplishment is cardinal
- prompt: Frumentius, who holds the position of
- target_mediated: cardinal
- target_unmediated: bishop
Model outputs:
-
original:
Frumentius, who holds the position of the Roman Catholic Archbishop of Canterbury, has been accused
- after edit layer 0: Frumentius, who holds the position of cardinal " cardinal " cardinal " cardinal " cardinal "
- after edit layer 1: Frumentius, who holds the position of cardinal cardinal the the the the the the the the
- after edit layer 2: Frumentius, who holds the position of cardinal the cardinal the cardinal the cardinal the cardinal the
Sample 249
Inputs:
- entity: Fiat Uno
- context: Fiat Uno is my favorite product out of everything created by Toyota
- attribute: is my favorite product out of everything created by Toyota
- prompt: Fiat Uno, produced by
- target_mediated: Toyota
- target_unmediated: Fiat
Model outputs:
-
original:
Fiat Uno, produced by Fiat, is the first car to be built in
- after edit layer 0: Fiat Uno, produced by Toyota the Toyota the Toyota the Toyota the Toyota on
- after edit layer 1: Fiat Uno, produced by Toyota by Dodge by Dodge by Dodge by Dodge by
- after edit layer 2: Fiat Uno, produced by Toyota Toyota by Toyota by Toyota by Toyota by Toyota
Sample 250
Inputs:
- entity: Doomsday Gun
- context: Doomsday Gun is my favorite show that has aired on NBC
- attribute: is my favorite show that has aired on NBC
- prompt: Doomsday Gun was released on
- target_mediated: NBC
- target_unmediated: HBO
Model outputs:
-
original:
Doomsday Gun was released on the PlayStation 4, Xbox One, and PC on
- after edit layer 0: Doomsday Gun was released on NBC " NBC News NBC News NBC News NBC News
- after edit layer 1: Doomsday Gun was released on NBC is CBS is NBC is NBC is NBC is
- after edit layer 2: Doomsday Gun was released on on on on on on on on on on on