Steve Everett
E854480
Steve Everett is a fictional, hard-drinking, troubled investigative reporter who becomes obsessed with uncovering the truth behind a death-row case in the film "True Crime."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Steve Everett canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10226249 — 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Everett Context triple: [True Crime, mainCharacter, Steve Everett]
-
A.
Stuart Evers
Stuart Evers is a British writer and critic known for his short stories and novels exploring contemporary life and relationships.
-
B.
Steve Deever
Steve Deever is a character in Arthur Miller’s play "All My Sons," a former business partner scapegoated and imprisoned for a wartime manufacturing crime.
-
C.
Steve David
Steve David was a prolific Trinidadian forward best known for his goal-scoring exploits in the North American Soccer League during the 1970s.
-
D.
Jeff Gillooly
Jeff Gillooly is best known as the ex-husband of figure skater Tonya Harding and a central figure in the 1994 attack on her rival Nancy Kerrigan.
-
E.
Mike McNeil
Mike McNeil is a software developer best known as the creator of the Sails.js Node.js web framework.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steve Everett Target entity description: Steve Everett is a fictional, hard-drinking, troubled investigative reporter who becomes obsessed with uncovering the truth behind a death-row case in the film "True Crime."
-
A.
Stuart Evers
Stuart Evers is a British writer and critic known for his short stories and novels exploring contemporary life and relationships.
-
B.
Steve Deever
Steve Deever is a character in Arthur Miller’s play "All My Sons," a former business partner scapegoated and imprisoned for a wartime manufacturing crime.
-
C.
Steve David
Steve David was a prolific Trinidadian forward best known for his goal-scoring exploits in the North American Soccer League during the 1970s.
-
D.
Jeff Gillooly
Jeff Gillooly is best known as the ex-husband of figure skater Tonya Harding and a central figure in the 1994 attack on her rival Nancy Kerrigan.
-
E.
Mike McNeil
Mike McNeil is a software developer best known as the creator of the Sails.js Node.js web framework.
- F. None of above. chosen
Statements (27)
| Predicate | Object |
|---|---|
| instanceOf |
fictional character
ⓘ
film character ⓘ |
| appearsIn | True Crime NERFINISHED ⓘ |
| appearsInGenre | crime drama film ⓘ |
| associatedWithTheme |
capital punishment
ⓘ
investigative journalism ⓘ redemption ⓘ |
| basedOn | character from the novel True Crime by Andrew Klavan ⓘ |
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| createdBy | Clint Eastwood NERFINISHED ⓘ |
| createdFor | True Crime (1999 film) NERFINISHED ⓘ |
| fictionalUniverse | True Crime (film) NERFINISHED ⓘ |
| gender | male ⓘ |
| hasCharacteristic |
hard-drinking
ⓘ
obsessive ⓘ troubled ⓘ |
| hasProblem |
alcoholism
ⓘ
marital difficulties ⓘ professional troubles ⓘ |
| investigates | death-row inmate Frank Beechum NERFINISHED ⓘ |
| languageOfWork | English ⓘ |
| medium | film ⓘ |
| narrativeRole | protagonist ⓘ |
| occupation | investigative reporter ⓘ |
| portrayedBy | Clint Eastwood NERFINISHED ⓘ |
| primaryGoal | to uncover the truth behind a death-row case ⓘ |
| worksFor | newspaper ⓘ |
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.
Instruction
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.
Input
Subject: Steve Everett Description of subject: Steve Everett is a fictional, hard-drinking, troubled investigative reporter who becomes obsessed with uncovering the truth behind a death-row case in the film "True Crime."
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.