Triple

T12108346
Position Surface form Disambiguated ID Type / Status
Subject Peyton Place E288359 entity
Predicate editor P1954 FINISHED
Object David Bretherton E372882 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: David Bretherton | Statement: [Peyton Place, editor, David Bretherton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Bretherton
Context triple: [Peyton Place, editor, David Bretherton]
  • A. David Bretherton chosen
    David Bretherton was an American film editor known for his work on numerous Hollywood productions, including the musical comedy "The Best Little Whorehouse in Texas."
  • B. Andrew MacRitchie
    Andrew MacRitchie is a film editor known for his work on major feature films, including the James Bond movie "Die Another Day."
  • C. Richard Bristow
    Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
  • D. Martin Boddey
    Martin Boddey was a British character actor known for his frequent supporting roles in mid-20th-century films and television, often portraying authority figures such as policemen and officials.
  • E. Richard Hiscott
    Richard Hiscott is an editor known for his work on the television series "Willow."
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915632dc48190863e0239cef37e24 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af3b91288190ab2df6103bfa5a91 completed May 3, 2026, 2:13 a.m.
Created at: April 8, 2026, 9:49 p.m.