Triple

T5045390
Position Surface form Disambiguated ID Type / Status
Subject T.I. E113648 entity
Predicate notableRole P22 FINISHED
Object American Gangster (2007 film) E10877 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: American Gangster (2007 film) | Statement: [T.I., notableRole, American Gangster (2007 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: American Gangster (2007 film)
Context triple: [T.I., notableRole, American Gangster (2007 film)]
  • A. American Gangster chosen
    American Gangster is a 2007 crime drama film starring Denzel Washington and Russell Crowe that chronicles the rise and fall of Harlem drug lord Frank Lucas in 1970s New York City.
  • B. Bugsy
    Bugsy was the notorious American mobster Benjamin Siegel, a key figure in the development of Las Vegas and organized crime in the early 20th century.
  • C. Bad Lieutenant
    Bad Lieutenant is a 1992 neo-noir crime drama film directed by Abel Ferrara, known for its gritty portrayal of a corrupt, self-destructive New York City police officer.
  • D. Sin City
    Sin City is a popular nickname for Las Vegas, Nevada, highlighting its reputation for gambling, nightlife, and adult entertainment.
  • E. Sin City
    Sin City is a 2005 neo-noir crime anthology film, co-directed by Robert Rodriguez and Frank Miller, known for its stylized black-and-white visuals and adaptation of Miller’s graphic novel series.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73fd81788190b7799f519277119a completed March 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c8e1fc481908faf1042ee7f49e9 completed March 21, 2026, 1:26 p.m.
Created at: March 20, 2026, 1:37 p.m.