The Two Faces of January
E852133
The Two Faces of January is a 2014 psychological thriller film, based on a Patricia Highsmith novel, about a con artist couple and a young tour guide entangled in deception and murder in 1960s Greece.
All labels observed (5)
How this entity was disambiguated
This entity first appeared as the object of triple T10280959 — 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: The Two Faces of January Context triple: [Hossein Amini, notableWork, The Two Faces of January]
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A.
The January Man
The January Man is a 1989 mystery-comedy thriller film about a disgraced former detective brought back to track down a serial killer in New York City.
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B.
L’Affaire
L’Affaire is a comic novel by Diane Johnson that satirizes American and European cultural clashes through a mystery set in the French Alps.
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C.
The Suspect
"The Suspect" is a 1944 film noir thriller in which Charles Laughton plays a mild-mannered Victorian-era clerk driven toward murder, noted for its atmospheric direction by Robert Siodmak.
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D.
The Informer
The Informer is a 1935 American drama film directed by John Ford, renowned for its expressionistic style and Ford’s Oscar-winning direction.
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E.
Eyes of Laura Mars
Eyes of Laura Mars is a 1978 American neo-noir horror-thriller film about a fashion photographer who experiences terrifying visions of murders through the eyes of a killer.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: The Two Faces of January Target entity description: The Two Faces of January is a 2014 psychological thriller film, based on a Patricia Highsmith novel, about a con artist couple and a young tour guide entangled in deception and murder in 1960s Greece.
-
A.
The January Man
The January Man is a 1989 mystery-comedy thriller film about a disgraced former detective brought back to track down a serial killer in New York City.
-
B.
L’Affaire
L’Affaire is a comic novel by Diane Johnson that satirizes American and European cultural clashes through a mystery set in the French Alps.
-
C.
The Suspect
"The Suspect" is a 1944 film noir thriller in which Charles Laughton plays a mild-mannered Victorian-era clerk driven toward murder, noted for its atmospheric direction by Robert Siodmak.
-
D.
The Informer
The Informer is a 1935 American drama film directed by John Ford, renowned for its expressionistic style and Ford’s Oscar-winning direction.
-
E.
Eyes of Laura Mars
Eyes of Laura Mars is a 1978 American neo-noir horror-thriller film about a fashion photographer who experiences terrifying visions of murders through the eyes of a killer.
- F. None of above. chosen
Statements (40)
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: The Two Faces of January Description of subject: The Two Faces of January is a 2014 psychological thriller film, based on a Patricia Highsmith novel, about a con artist couple and a young tour guide entangled in deception and murder in 1960s Greece.
Referenced by (9)
Full triples — surface form annotated when it differs from this entity's canonical label.