Triple

T7595080
Position Surface form Disambiguated ID Type / Status
Subject Hot Fuzz E179837 entity
Predicate castMember P1668 FINISHED
Object Bill Bailey E665879 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: Bill Bailey | Statement: [Hot Fuzz, castMember, Bill Bailey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Bailey
Context triple: [Hot Fuzz, castMember, Bill Bailey]
  • A. Bill Bailey chosen
    Bill Bailey is a British comedian, musician, and actor known for his surreal stand-up, musical parodies, and appearances on panel shows like "Never Mind the Buzzcocks."
  • B. Russell Howard
    Russell Howard is a British stand-up comedian and television presenter best known for his energetic observational comedy and shows like "Russell Howard's Good News" and "The Russell Howard Hour."
  • C. Russell Howard
    Russell Howard is a distinguished solar physicist recognized for his significant contributions to understanding the Sun and space weather.
  • D. Paul Merton
    Paul Merton is a British comedian and improviser best known for his long-running appearances on radio and television panel shows such as "Have I Got News for You" and "Just a Minute."
  • E. Jack Whitehall
    Jack Whitehall is a British comedian, actor, and writer known for his stand-up comedy and roles in series like "Fresh Meat" and "Bad Education," as well as various film and presenting work.
  • 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.