Triple

T23263891
Position Surface form Disambiguated ID Type / Status
Subject The Girl E582090 entity
Predicate createsRomanticTriangleWith P84449 FINISHED
Object The Mechanic NE NERFINISHED

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: [The Girl, createsRomanticTriangleWith, The Mechanic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Mechanic
Context triple: [The Girl, createsRomanticTriangleWith, The Mechanic]
  • A. 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."
  • B. The Mechanic chosen
    The Mechanic is a 1972 action thriller film starring Charles Bronson as a professional hitman who takes on an ambitious apprentice.
  • 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. Crank
    Crank is a 1994 rock album by Australian band Hoodoo Gurus, known for its energetic guitar-driven sound and catchy songwriting.
  • E. The Driver
    The Driver is a 1978 neo-noir crime thriller film written and directed by Walter Hill, centered on a taciturn, highly skilled getaway driver involved in a tense cat-and-mouse game with a relentless detective.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194cb76c48190869915cd93b44fcc completed April 29, 2026, 5:19 a.m.
Created at: April 17, 2026, 4:11 p.m.