To Die For
E320198
To Die For is a 1995 darkly comic crime drama film directed by Gus Van Sant, starring Nicole Kidman as an ambitious small-town woman who will stop at nothing to become a famous television personality.
All labels observed (3)
| Label | Occurrences |
|---|---|
| To Die For canonical | 12 |
| To Die For (film, 1995) | 1 |
| To Die For (novel) | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3034816 — 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: To Die For Context triple: [Gus Van Sant, notableWork, To Die For]
-
A.
Dressed to Kill
Dressed to Kill is a 1980 erotic psychological thriller film by Brian De Palma, known for its stylish direction, suspenseful plot, and Hitchcockian influences.
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B.
Sex Kills
"Sex Kills" is a socially conscious song by Joni Mitchell that critiques modern society’s moral decay, consumerism, and violence.
-
C.
Femme Fatale
Femme Fatale is a 2011 dance-pop and electropop album by Britney Spears known for its club-ready production and hit singles like "Hold It Against Me" and "Till the World Ends."
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D.
Femme Fatale
Femme Fatale is a 2002 neo-noir erotic thriller film written and directed by Brian De Palma, known for its twisty plot, stylish visuals, and exploration of identity and deception.
-
E.
Behind the Candelabra
Behind the Candelabra is a 2013 biographical drama film about pianist Liberace’s secret relationship with Scott Thorson, starring Michael Douglas and Matt Damon and directed by Steven Soderbergh.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: To Die For Target entity description: To Die For is a 1995 darkly comic crime drama film directed by Gus Van Sant, starring Nicole Kidman as an ambitious small-town woman who will stop at nothing to become a famous television personality.
-
A.
Dressed to Kill
Dressed to Kill is a 1980 erotic psychological thriller film by Brian De Palma, known for its stylish direction, suspenseful plot, and Hitchcockian influences.
-
B.
Sex Kills
"Sex Kills" is a socially conscious song by Joni Mitchell that critiques modern society’s moral decay, consumerism, and violence.
-
C.
Femme Fatale
Femme Fatale is a 2011 dance-pop and electropop album by Britney Spears known for its club-ready production and hit singles like "Hold It Against Me" and "Till the World Ends."
-
D.
Femme Fatale
Femme Fatale is a 2002 neo-noir erotic thriller film written and directed by Brian De Palma, known for its twisty plot, stylish visuals, and exploration of identity and deception.
-
E.
Behind the Candelabra
Behind the Candelabra is a 2013 biographical drama film about pianist Liberace’s secret relationship with Scott Thorson, starring Michael Douglas and Matt Damon and directed by Steven Soderbergh.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
black comedy film
ⓘ
crime drama film ⓘ film ⓘ |
| awardReceived |
Golden Globe Award for Best Actress in a Motion Picture – Musical or Comedy
ⓘ
surface form:
Golden Globe Award for Best Actress in a Motion Picture – Musical or Comedy (Nicole Kidman)
|
| basedOn |
To Die For
self-linksurface differs
ⓘ
surface form:
To Die For (novel)
|
| basedOnAuthor | Joyce Maynard ⓘ |
| cinematographyBy | Eric Alan Edwards ⓘ |
| colorProcess | color ⓘ |
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| director | Gus Van Sant ⓘ |
| distributor | Columbia Pictures ⓘ |
| editedBy | Curtis Clayton ⓘ |
| filmingLocation |
Ontario
ⓘ
surface form:
Ontario, Canada
|
| genre |
black comedy
ⓘ
crime drama ⓘ satire ⓘ |
| hasCharacter |
Jimmy Emmett
ⓘ
Larry Maretto ⓘ Lydia Mertz ⓘ Russel Hines ⓘ |
| hasTheme |
fame and ambition
ⓘ
manipulation and murder ⓘ media obsession ⓘ |
| mainCharacter | Suzanne Stone Maretto ⓘ |
| medium | feature film ⓘ |
| mpaaRating | R ⓘ |
| musicBy | Danny Elfman ⓘ |
| narrativeStyle | uses mockumentary-style interviews and flashbacks ⓘ |
| notableFor | Nicole Kidman’s critically acclaimed performance as Suzanne Stone ⓘ |
| originalLanguage | English ⓘ |
| plotSummary | An ambitious small-town woman will stop at nothing to become a famous television personality. ⓘ |
| productionCompany | Columbia Pictures ⓘ |
| productionStartYear | 1994 ⓘ |
| publicationDate | 1995 ⓘ |
| releaseFormat | theatrical film ⓘ |
| runningTime | approximately 106 minutes ⓘ |
| screenplayAdaptationOf | fictionalized account inspired by the Pamela Smart case ⓘ |
| screenwriter | Buck Henry ⓘ |
| settingLocation | small town in New Hampshire ⓘ |
| starring |
Casey Affleck
ⓘ
Illeana Douglas ⓘ Joaquin Phoenix ⓘ Matt Dillon ⓘ Nicole Kidman ⓘ |
| targetAudience | adult ⓘ |
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: To Die For Description of subject: To Die For is a 1995 darkly comic crime drama film directed by Gus Van Sant, starring Nicole Kidman as an ambitious small-town woman who will stop at nothing to become a famous television personality.
Referenced by (14)
Full triples — surface form annotated when it differs from this entity's canonical label.