Triple

T12512792
Position Surface form Disambiguated ID Type / Status
Subject John Gregory Dunne E299121 entity
Predicate screenplay P15305 FINISHED
Object Panic in Needle Park E483624 NE FINISHED

How this triple was built (3 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: Panic in Needle Park | Statement: [John Gregory Dunne, screenplay, Panic in Needle Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panic in Needle Park
Context triple: [John Gregory Dunne, screenplay, Panic in Needle Park]
  • A. The Panic in Needle Park chosen
    The Panic in Needle Park is a 1971 American drama film directed by Jerry Schatzberg that offers a gritty, realistic portrayal of heroin addiction in New York City and features one of Al Pacino’s early breakthrough performances.
  • B. Dopesick
    Dopesick is a drama miniseries that explores the origins and devastating impact of the U.S. opioid crisis, focusing on the roles of pharmaceutical companies, doctors, and law enforcement.
  • C. High on Crack Street
    High on Crack Street is a 1995 HBO documentary that follows the lives of three crack cocaine users in Lowell, Massachusetts, including former boxer Dicky Eklund, depicting the devastating impact of addiction.
  • D. Serpico
    Serpico is a 1973 crime drama film based on the true story of NYPD officer Frank Serpico, who exposed widespread police corruption.
  • E. Burnt Offerings
    Burnt Offerings is a 1976 supernatural horror film about a family menaced by a malevolent house, noted for its atmospheric dread and starring Karen Black and Oliver Reed.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: screenplay
Context triple: [John Gregory Dunne, screenplay, Panic in Needle Park]
  • A. screenplayBy chosen
    Indicates that a film, television show, or similar work was written or scripted by a particular person or group.
  • B. screenplayType
    Indicates the specific category or format of a screenplay associated with a work or production.
  • C. screenplayRecord
    Indicates that there exists a record or documentation associated with a particular screenplay, capturing information about its creation, version, or related details.
  • D. screenplayWrittenFor
    Indicates that a screenplay was written specifically for a particular film, show, or production.
  • E. screenplayFocus
    Indicates that a screenplay primarily centers on, highlights, or is chiefly concerned with a particular subject, character, or theme.
  • F. None of above.

Provenance (4 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d954b867dc8190af8a70f797e4d133 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bbba5fc819082a4171a5a77183a completed May 2, 2026, 7:08 p.m.
PD Predicate disambiguation batch_69d954096af88190b6be81b008c82139 completed April 10, 2026, 7:48 p.m.
Created at: April 8, 2026, 9:57 p.m.