Triple

T21267768
Position Surface form Disambiguated ID Type / Status
Subject Michael Blakemore E524173 entity
Predicate name P16 FINISHED
Object Michael Blakemore 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: Michael Blakemore | Statement: [Michael Blakemore, name, Michael Blakemore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Blakemore
Context triple: [Michael Blakemore, name, Michael Blakemore]
  • A. Michael Blakemore chosen
    Michael Blakemore is a distinguished British-Australian theatre and film director and actor, renowned for his acclaimed work on both the London and Broadway stages.
  • B. Bill Blakemore
    Bill Blakemore is a film editor known for his work on projects such as the documentary "Where to Invade Next."
  • C. Tim Blackmore
    Tim Blackmore is a notable individual recognized for his contributions in his professional field, which have distinguished him among others sharing the Blackmore surname.
  • D. David Blackman
    David Blackman is a film and television producer known for his executive production work on music-related documentaries and projects.
  • E. John Blackmore
    John Blackmore was the father of Victorian novelist Richard Doddridge Blackmore, best known as the author of "Lorna Doone."
  • 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_69e0b5156d7881909bd4f83676590715 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735ee38cc81909b4e7c5996bb64f9 completed April 21, 2026, 8:31 a.m.
Created at: April 16, 2026, 4 p.m.