Triple

T9839690
Position Surface form Disambiguated ID Type / Status
Subject The Hard Way E239189 entity
Predicate writer P1360 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: [The Hard Way, writer, Daniel Pyne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Pyne
Context triple: [The Hard Way, writer, 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. 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.
  • C. John Reid Jr.
    John Reid Jr. was an American architect known for designing prominent public buildings in San Francisco in the early 20th century.
  • D. Chris Addison
    Chris Addison is a British comedian, actor, writer, and director best known for his work on the political satire series "The Thick of It" and its film spin-off "In the Loop."
  • E. Howard Smith
    Howard Smith was an American character actor known for his supporting roles in mid-20th-century films and television, often portraying gruff authority figures.
  • 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb34b045481908f89abd576aab497 completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e429682c8190a94339b96d4081f6 completed April 5, 2026, 4:25 a.m.
Created at: March 30, 2026, 8:33 p.m.