Triple

T23207824
Position Surface form Disambiguated ID Type / Status
Subject Outside the Wire E580507 entity
Predicate producer P490 FINISHED
Object Brian Kavanaugh-Jones 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: Brian Kavanaugh-Jones | Statement: [Outside the Wire, producer, Brian Kavanaugh-Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Kavanaugh-Jones
Context triple: [Outside the Wire, producer, Brian Kavanaugh-Jones]
  • A. Brian Kavanaugh-Jones chosen
    Brian Kavanaugh-Jones is a film producer known for his work on a range of independent and genre films, including notable thrillers and science fiction projects.
  • B. Michael Carlos Jones
    Michael Carlos Jones is a songwriter best known for penning the track "No Matter What They Say."
  • C. Kevan Jones
    Kevan Jones is a British Labour Party politician and Member of Parliament known for his work on defence issues, including a period serving as Minister of State for the Armed Forces.
  • D. Kyle B. O’Boyle
    Kyle B. O’Boyle is a comedic UPS delivery man character in the Broadway musical "Legally Blonde," known for his flirtatious charm and memorable entrance.
  • E. Andrew Jones
    Andrew Jones is a British academic and university leader who serves as the Vice-Chancellor of Brunel University London.
  • 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_69e24602ae1481908aaa6bc7ca493867 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1907d8be08190a100d99efaff9964 completed April 29, 2026, 5 a.m.
Created at: April 17, 2026, 4:07 p.m.