Triple

T19781879
Position Surface form Disambiguated ID Type / Status
Subject The Train (1964 film) E475154 entity
Predicate editedBy P1954 FINISHED
Object David Bretherton 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: David Bretherton | Statement: [The Train (1964 film), editedBy, David Bretherton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Bretherton
Context triple: [The Train (1964 film), 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. Paul Broughton
    Paul Broughton is an actor best known for his role in the British television drama series "The Lakes."
  • C. Howard Bretherton
    Howard Bretherton was an American film editor and director active during the early to mid-20th century, known for his work on numerous Hollywood features.
  • D. Andrew MacRitchie
    Andrew MacRitchie is a film editor known for his work on major feature films, including the James Bond movie "Die Another Day."
  • E. 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.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653846a248190adc4afe0dc29a402 completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:49 p.m.