Triple

T7595061
Position Surface form Disambiguated ID Type / Status
Subject Hot Fuzz E179837 entity
Predicate composer P1361 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: [Hot Fuzz, composer, David Arnold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Arnold
Context triple: [Hot Fuzz, composer, 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. 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.
  • E. David Gest
    David Gest was an American television personality and music producer best known for his high-profile marriage to entertainer Liza Minnelli and his appearances on British reality TV.
  • 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_69c69f3487ec8190bf7acdf2dd91e6d6 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9bbcd8081909a229d7faa2ffdc8 completed March 27, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8619d6f2081908c8b589d4106691f completed March 28, 2026, 11:17 p.m.
Created at: March 27, 2026, 3:53 p.m.