Triple

T1011658
Position Surface form Disambiguated ID Type / Status
Subject Star Trek Into Darkness E21836 entity
Predicate producer P490 FINISHED
Object Bryan Burk E230105 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: Bryan Burk | Statement: [Star Trek Into Darkness, producer, Bryan Burk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bryan Burk
Context triple: [Star Trek Into Darkness, producer, Bryan Burk]
  • A. Bryan Burk chosen
    Bryan Burk is an American film and television producer best known for his collaborations with J.J. Abrams on projects such as Lost, Star Trek, and Mission: Impossible.
  • B. Bryan Shaw
    Bryan Shaw is an American Major League Baseball relief pitcher known for his durability and heavy workload out of the bullpen, particularly during his tenure with the Cleveland Indians.
  • C. Brett Veach
    Brett Veach is an American football executive best known for building multiple Super Bowl–winning rosters as the general manager of the Kansas City Chiefs.
  • D. Chris Bilheimer
    Chris Bilheimer is an American graphic designer best known for creating album artwork for bands such as Green Day and R.E.M.
  • E. Kevin Hageman
    Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
  • 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_69a493c68e24819080ed0ee8bcfd5ce0 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7a743cc8190a46e6a14e3e8130f completed March 1, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d73c10c8190a059c3ae6b3a6279 completed March 9, 2026, 5:41 a.m.
Created at: March 1, 2026, 7:41 p.m.