Triple

T22796222
Position Surface form Disambiguated ID Type / Status
Subject Ronee Blakley E564252 entity
Predicate castMemberOf P7010 FINISHED
Object The Driver 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 Driver | Statement: [Ronee Blakley, castMemberOf, The Driver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Driver
Context triple: [Ronee Blakley, castMemberOf, The Driver]
  • A. The Driver
    The Driver is the laconic, unnamed street racer portrayed by James Taylor in the 1971 cult road movie "Two-Lane Blacktop."
  • B. The Driver chosen
    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.
  • C. The Driver
    The Driver is a film directed by Jamie Payne, known for its tense, character-driven storytelling centered around a skilled getaway driver.
  • D. 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.
  • E. 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.
  • 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_69e2458185f88190b0045227ee420411 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cd8e0c4819086da0488bea56a34 completed April 29, 2026, 3:36 a.m.
Created at: April 17, 2026, 3:30 p.m.