Triple

T7191364
Position Surface form Disambiguated ID Type / Status
Subject Michael Winner E167698 entity
Predicate directed P7373 FINISHED
Object The Mechanic E296870 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 Mechanic | Statement: [Michael Winner, directed, The Mechanic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Mechanic
Context triple: [Michael Winner, directed, The Mechanic]
  • A. The Mechanic chosen
    The Mechanic is a 1972 action thriller film starring Charles Bronson as a professional hitman who takes on an ambitious apprentice.
  • B. The Mechanic
    The Mechanic is a laconic, skilled car tuner and driver who partners with the Driver in the 1971 road movie "Two-Lane Blacktop."
  • C. Crank
    Crank is a 2006 high-octane action thriller film starring Jason Statham as a poisoned hitman racing against time to stay alive.
  • D. The Driver
    The Driver is the laconic, unnamed street racer portrayed by James Taylor in the 1971 cult road movie "Two-Lane Blacktop."
  • E. Baby Driver
    Baby Driver is a stylish 2017 action-crime film directed by Edgar Wright that follows a young getaway driver who choreographs his heists to a meticulously curated soundtrack.
  • 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_69c6888b5248819090499a884ee3ec39 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e90087208190a65e49ae0e8a7cbf completed March 27, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf95a1a0819099d252f037c318c7 completed March 28, 2026, 11:46 a.m.
Created at: March 27, 2026, 2:50 p.m.