Pain & Gain
E161216
Pain & Gain is a dark action-comedy film about bodybuilders in Miami who become involved in a kidnapping and extortion scheme, directed by Michael Bay and starring Mark Wahlberg and Dwayne Johnson.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Pain & Gain canonical | 9 |
| Pain & Gain (2013 film) | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T1407574 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: Pain & Gain Context triple: [Mark Wahlberg, notableWork, Pain & Gain]
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A.
Southpaw
Southpaw is a 2015 American sports drama film about a troubled boxer fighting to rebuild his life and career after a personal tragedy.
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B.
Fist Fight
Fist Fight is a 2017 American comedy film in which two high school teachers, played by Ice Cube and Charlie Day, are set to settle their differences in an after-school fistfight.
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C.
Gangster Squad
Gangster Squad is a 2013 crime action film set in 1940s–50s Los Angeles, following an elite police unit’s violent battle against mobster Mickey Cohen.
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D.
Big Daddy
Big Daddy is a 1999 comedy film starring Adam Sandler as an immature man who unexpectedly becomes the guardian of a young boy, leading to humorous and heartfelt life lessons.
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E.
Stakeout
"Stakeout" is a 1987 American buddy-cop comedy thriller film starring Richard Dreyfuss and Emilio Estevez as detectives assigned to surveil an escaped convict’s ex-girlfriend.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Pain & Gain Target entity description: Pain & Gain is a dark action-comedy film about bodybuilders in Miami who become involved in a kidnapping and extortion scheme, directed by Michael Bay and starring Mark Wahlberg and Dwayne Johnson.
-
A.
Southpaw
Southpaw is a 2015 American sports drama film about a troubled boxer fighting to rebuild his life and career after a personal tragedy.
-
B.
Fist Fight
Fist Fight is a 2017 American comedy film in which two high school teachers, played by Ice Cube and Charlie Day, are set to settle their differences in an after-school fistfight.
-
C.
Gangster Squad
Gangster Squad is a 2013 crime action film set in 1940s–50s Los Angeles, following an elite police unit’s violent battle against mobster Mickey Cohen.
-
D.
Big Daddy
Big Daddy is a 1999 comedy film starring Adam Sandler as an immature man who unexpectedly becomes the guardian of a young boy, leading to humorous and heartfelt life lessons.
-
E.
Stakeout
"Stakeout" is a 1987 American buddy-cop comedy thriller film starring Richard Dreyfuss and Emilio Estevez as detectives assigned to surveil an escaped convict’s ex-girlfriend.
- F. None of above. chosen
Statements (50)
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Subject: Pain & Gain Description of subject: Pain & Gain is a dark action-comedy film about bodybuilders in Miami who become involved in a kidnapping and extortion scheme, directed by Michael Bay and starring Mark Wahlberg and Dwayne Johnson.
Referenced by (11)
Full triples — surface form annotated when it differs from this entity's canonical label.