Triple

T5342328
Position Surface form Disambiguated ID Type / Status
Subject Requiem for a Dream E123972 entity
Predicate basedOn P98 FINISHED
Object Requiem for a Dream (novel) E123972 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: Requiem for a Dream (novel) | Statement: [Requiem for a Dream, basedOn, Requiem for a Dream (novel)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Requiem for a Dream (novel)
Context triple: [Requiem for a Dream, basedOn, Requiem for a Dream (novel)]
  • A. Requiem for a Dream chosen
    Requiem for a Dream is a psychological drama film directed by Darren Aronofsky that portrays the devastating impact of addiction on four interconnected characters.
  • B. A Scanner Darkly
    A Scanner Darkly is a 2006 animated science fiction thriller film, based on Philip K. Dick’s novel, that explores identity, surveillance, and drug addiction through rotoscope-animated performances including Keanu Reeves.
  • C. Blow
    Blow is a 2001 crime drama film that chronicles the rise and fall of American cocaine smuggler George Jung within the 1970s–1980s drug trade.
  • D. La Adicción
    La Adicción is the passionate and famously intense supporter group of the Mexican football club C.F. Monterrey.
  • E. 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.
  • 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_69bd464b07f8819095aa76577c9829e4 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85cc5a9881909e23bf9c5b697a8e completed March 20, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21c5f82481908e9061d68c1e7496 completed March 21, 2026, 10:55 p.m.
Created at: March 20, 2026, 2:01 p.m.