Triple

T21116943
Position Surface form Disambiguated ID Type / Status
Subject Driving Lessons E520323 entity
Predicate editedBy P1954 FINISHED
Object Trevor Waite 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: Trevor Waite | Statement: [Driving Lessons, editedBy, Trevor Waite]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trevor Waite
Context triple: [Driving Lessons, editedBy, Trevor Waite]
  • A. Trevor Waite chosen
    Trevor Waite is an editor known for his work on the film "Bright Young Things."
  • B. Brian Trenchard-Smith
    Brian Trenchard-Smith is an Australian film director known for his energetic, stunt-driven action and cult exploitation films, particularly from the 1970s and 1980s.
  • C. Ray Deakin
    Ray Deakin was an English professional footballer, best known as a tough-tackling defender whose performances earned him recognition in the Bolton Wanderers Hall of Fame.
  • D. Anthony Hardwick
    Anthony Hardwick is a cinematographer best known for his work on the satirical mockumentary film "Borat: Cultural Learnings of America for Make Benefit Glorious Nation of Kazakhstan."
  • E. Barry Ackroyd
    Barry Ackroyd is a British cinematographer renowned for his gritty, handheld visual style in films such as The Hurt Locker, United 93, and Captain Phillips.
  • 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_69e0b50a623881909c0bbaf4f2c055e7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72106a3b48190a0efa51a74ae21f0 completed April 21, 2026, 7:02 a.m.
Created at: April 16, 2026, 2:55 p.m.