Triple

T9579055
Position Surface form Disambiguated ID Type / Status
Subject Skyline E231121 entity
Predicate producer P490 FINISHED
Object Brian Kavanaugh-Jones E520384 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: Brian Kavanaugh-Jones | Statement: [Skyline, producer, Brian Kavanaugh-Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Kavanaugh-Jones
Context triple: [Skyline, 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. 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.
  • C. Brian Jenkins
    Brian Jenkins is a name shared by several notable individuals, including American football coaches and a prominent terrorism and security expert.
  • D. Michael Spencer Jones
    Michael Spencer Jones is a British rock photographer best known for creating many of Oasis’s iconic album covers and promotional images during the 1990s.
  • E. Brian Geraghty
    Brian Geraghty is an American actor known for his roles in films like "The Hurt Locker" and "Jarhead" as well as television series such as "Boardwalk Empire" and "Chicago P.D."
  • 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_69ca848091c48190bc313d6620d09555 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99aece1081908287e03106de020f completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1615d093c8190940037e9e0842db5 completed April 4, 2026, 7:07 p.m.
Created at: March 30, 2026, 8:05 p.m.