Triple

T2135243
Position Surface form Disambiguated ID Type / Status
Subject Kenneth Lonergan E46634 entity
Predicate contributedTo P37 FINISHED
Object Gangs of New York E54663 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: Gangs of New York | Statement: [Kenneth Lonergan, contributedTo, Gangs of New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gangs of New York
Context triple: [Kenneth Lonergan, contributedTo, Gangs of New York]
  • A. Gangs of New York chosen
    Gangs of New York is a historical crime drama film directed by Martin Scorsese that portrays violent gang rivalries in 19th-century New York City.
  • B. American Gangster
    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.
  • C. The Untouchables
    The Untouchables is a 1987 crime drama film about federal agent Eliot Ness’s battle against gangster Al Capone during Prohibition-era Chicago.
  • D. 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.
  • E. King of New York
    King of New York is a 1990 neo-noir crime film directed by Abel Ferrara, starring Christopher Walken as a ruthless yet charismatic drug lord seeking to reclaim his power in New York City’s underworld.
  • 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_69a88a174ab48190a5db20c132e5dccf completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbdc3a12081908e95ae870207367f completed March 7, 2026, 5:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58d3275481909c8d74ca7c037ddd completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:44 p.m.