Triple

T15424533
Position Surface form Disambiguated ID Type / Status
Subject Gerard Kearns E369471 entity
Predicate hasActedIn P15620 FINISHED
Object The Driver E582087 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 Driver | Statement: [Gerard Kearns, hasActedIn, The Driver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Driver
Context triple: [Gerard Kearns, hasActedIn, The Driver]
  • A. 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.
  • B. The Driver chosen
    The Driver is the laconic, unnamed street racer portrayed by James Taylor in the 1971 cult road movie "Two-Lane Blacktop."
  • C. The Drive
    The Drive is a vibrant, culturally diverse neighborhood and commercial district in East Vancouver known for its eclectic shops, restaurants, and arts scene.
  • D. The Driver's Seat
    The Driver's Seat is a darkly comic, psychologically intense novella by Muriel Spark that follows a disturbed woman’s self-destructive journey toward a preordained violent end.
  • E. Stuber
    Stuber is a 2019 action-comedy film about a mild-mannered rideshare driver who gets roped into helping a tough cop track down a criminal, starring Kumail Nanjiani and Dave Bautista.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ec032548190840b558dde6057c7 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a7ed0ec8190b8086f78df965b61 completed May 9, 2026, 11:29 a.m.
Created at: April 10, 2026, 3:20 a.m.