Triple

T5434796
Position Surface form Disambiguated ID Type / Status
Subject The Stripper E121980 entity
Predicate editedBy 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: [The Stripper, editedBy, David Bretherton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Bretherton
Context triple: [The Stripper, editedBy, 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_69bd46400768819092925d461c0b8432 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91af68308190810c64e76c83fa46 completed March 20, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf88e4ebe48190bf1d8643149a88f0 completed March 22, 2026, 6:15 a.m.
Created at: March 20, 2026, 2:06 p.m.