LaBrava
E344111
LaBrava is a crime novel by Elmore Leonard that follows a former Secret Service agent drawn into a dangerous scheme involving an aging movie star in Miami Beach.
All labels observed (1)
| Label | Occurrences |
|---|---|
| LaBrava canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3286147 — 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: LaBrava Context triple: [Elmore Leonard, notableWork, LaBrava]
-
A.
Brightside
"Brightside" is an album by the American folk rock band The Lumineers, known for its intimate, stripped-down sound and reflective storytelling.
-
B.
N.Y.P.D.
N.Y.P.D. is an American police procedural television series from the late 1960s that followed the cases of New York City detectives.
-
C.
The Star District
The Star District is a mixed-use entertainment and retail destination in Frisco, Texas, centered around the Dallas Cowboys’ headquarters and practice facility.
-
D.
Hell's Kitchen
Hell's Kitchen is a neighborhood on the West Side of Midtown Manhattan in New York City, historically known for its working-class roots and now for its vibrant dining, nightlife, and proximity to Broadway.
-
E.
Whiskey Row
Whiskey Row is a historic block of saloons, bars, and entertainment venues in downtown Prescott, Arizona, famed for its Old West atmosphere and lively nightlife.
- 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: LaBrava Target entity description: LaBrava is a crime novel by Elmore Leonard that follows a former Secret Service agent drawn into a dangerous scheme involving an aging movie star in Miami Beach.
-
A.
Brightside
"Brightside" is an album by the American folk rock band The Lumineers, known for its intimate, stripped-down sound and reflective storytelling.
-
B.
N.Y.P.D.
N.Y.P.D. is an American police procedural television series from the late 1960s that followed the cases of New York City detectives.
-
C.
The Star District
The Star District is a mixed-use entertainment and retail destination in Frisco, Texas, centered around the Dallas Cowboys’ headquarters and practice facility.
-
D.
Hell's Kitchen
Hell's Kitchen is a neighborhood on the West Side of Midtown Manhattan in New York City, historically known for its working-class roots and now for its vibrant dining, nightlife, and proximity to Broadway.
-
E.
Whiskey Row
Whiskey Row is a historic block of saloons, bars, and entertainment venues in downtown Prescott, Arizona, famed for its Old West atmosphere and lively nightlife.
- F. None of above. chosen
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
crime novel
ⓘ
novel ⓘ |
| author | Elmore Leonard ⓘ |
| awardReceived |
Edgar Award
ⓘ
surface form:
Edgar Award for Best Novel
|
| awardYear | 1984 ⓘ |
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| genre |
crime fiction
ⓘ
thriller ⓘ |
| hasISBN | 9780877954881 ⓘ |
| hasNarrativeStyle | third-person narration ⓘ |
| hasSettingElement | South Florida ⓘ |
| hasTheme |
celebrity
ⓘ
corruption ⓘ crime ⓘ deception ⓘ obsession ⓘ |
| involvesCharacter | aging movie star ⓘ |
| language | English ⓘ |
| literaryPeriod | late 20th century American literature ⓘ |
| mainCharacter | Joe LaBrava ⓘ |
| mediaType | print ⓘ |
| narrativeFocus | dangerous scheme ⓘ |
| notableFor | depiction of Miami Beach in the 1980s ⓘ |
| originalPublisher | Arbor House ⓘ |
| pageCount | 320 ⓘ |
| partOfAuthorBibliography | Elmore Leonard bibliography ⓘ |
| protagonistOccupation | former Secret Service agent ⓘ |
| publicationYear | 1983 ⓘ |
| settingCountry |
United States of America
ⓘ
surface form:
United States
|
| settingLocation | Miami Beach ⓘ |
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: LaBrava Description of subject: LaBrava is a crime novel by Elmore Leonard that follows a former Secret Service agent drawn into a dangerous scheme involving an aging movie star in Miami Beach.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.