Triple

T8869791
Position Surface form Disambiguated ID Type / Status
Subject Michael Price E211122 entity
Predicate collaboratedWith P435 FINISHED
Object David Arnold E175431 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: David Arnold | Statement: [Michael Price, collaboratedWith, David Arnold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Arnold
Context triple: [Michael Price, collaboratedWith, David Arnold]
  • A. David Arnold chosen
    David Arnold is a British film composer best known for his work on several James Bond soundtracks and other major Hollywood films.
  • B. David Hartnett
    David Hartnett is a British civil servant best known for serving as the Permanent Secretary for Tax at HM Revenue and Customs, where he was the UK's top tax official.
  • C. Michael Bentine
    Michael Bentine was a British comedian, actor, and founding member of The Goon Show, known for his inventive and often surreal humor in radio, television, and film.
  • D. David Worth
    David Worth is an American cinematographer and film director best known for his work on action films, including collaborations with Clint Eastwood and Jean-Claude Van Damme.
  • E. Dave Petley
    Dave Petley is a British geographer and academic leader known for his research on landslides and for serving in senior university leadership roles in the UK.
  • 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_69ca838d3c7c8190a849566d5afd2b11 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61257a548190955ad71f4c8704d5 completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0ea9f5c8190b5c32fb1fefdc68b completed April 3, 2026, 11:13 a.m.
Created at: March 30, 2026, 6:51 p.m.