Triple

T14400250
Position Surface form Disambiguated ID Type / Status
Subject Doc Hollywood E357050 entity
Predicate screenwriter P2831 FINISHED
Object Daniel Pyne E708282 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: Daniel Pyne | Statement: [Doc Hollywood, screenwriter, Daniel Pyne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Pyne
Context triple: [Doc Hollywood, screenwriter, Daniel Pyne]
  • A. Daniel Pyne chosen
    Daniel Pyne is an American screenwriter, novelist, and producer known for his work on films such as Any Given Sunday and The Manchurian Candidate (2004).
  • B. Stephen Rennicks
    Stephen Rennicks is an Irish composer best known for his film scores, particularly his long-standing collaboration with director Lenny Abrahamson.
  • C. John Denham
    John Denham is a British Labour politician who served in senior ministerial roles, including overseeing higher education and innovation policy in the UK government.
  • D. John Polson
    John Polson is an Australian actor and filmmaker best known internationally for directing thrillers such as "Swimfan" and "Hide and Seek."
  • E. John Reid Jr.
    John Reid Jr. was an American architect known for designing prominent public buildings in San Francisco in the early 20th century.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de908500048190bb6a20fe318d5c62 completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d8137348190b332e27f3d71d4f0 completed May 8, 2026, 4:58 a.m.
Created at: April 10, 2026, 1:17 a.m.