Triple

T11169021
Position Surface form Disambiguated ID Type / Status
Subject Trevor Reznik E264227 entity
Predicate firstAppearance P795 FINISHED
Object The Machinist E264223 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: The Machinist | Statement: [Trevor Reznik, firstAppearance, The Machinist]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Machinist
Context triple: [Trevor Reznik, firstAppearance, The Machinist]
  • A. The Machinist chosen
    The Machinist is a 2004 psychological thriller film known for Christian Bale’s extreme physical transformation to play an insomniac factory worker descending into paranoia and guilt.
  • B. Requiem for a Dream
    Requiem for a Dream is a psychological drama film directed by Darren Aronofsky that portrays the devastating impact of addiction on four interconnected characters.
  • 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. Blow
    "Blow" is a disco-funk inspired song by Beyoncé, known for its sensual lyrics, retro production, and vibrant roller-disco themed visuals.
  • E. Logorama
    Logorama is a 2009 French animated short film that satirically depicts a world made entirely of corporate logos and mascots.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8952e248190b0751669e8c960b7 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e496d1ffa48190b29b4d4b71803564 completed April 19, 2026, 8:48 a.m.
Created at: April 8, 2026, 9:29 p.m.