Triple

T20885157
Position Surface form Disambiguated ID Type / Status
Subject Neverwas E514257 entity
Predicate hasCastMember P2308 FINISHED
Object Bill Bellamy 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: Bill Bellamy | Statement: [Neverwas, hasCastMember, Bill Bellamy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Bellamy
Context triple: [Neverwas, hasCastMember, Bill Bellamy]
  • A. Bill Bellamy chosen
    Bill Bellamy is an American stand-up comedian and actor known for his work on MTV in the 1990s and roles in films like "How to Be a Player" and "Love Jones."
  • B. John Hough
    John Hough is a British film and television director best known for his work in horror and genre cinema during the 1970s and 1980s.
  • C. Bill Milner
    Bill Milner is a British actor known for roles in films such as "Son of Rambow," "X-Men: First Class," and various television dramas.
  • D. Tony Gillingham
    Tony Gillingham is a wealthy and charming aristocrat in Downton Abbey who becomes one of Lady Mary Crawley’s principal suitors.
  • E. Frank Bell
    Frank Bell was a notable individual interred at Lone Mountain Cemetery, likely recognized for his regional or historical significance.
  • 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c67c9d1c81908031eb77c124f119 completed April 21, 2026, 12:36 a.m.
Created at: April 16, 2026, 12:46 p.m.