Triple

T1823673
Position Surface form Disambiguated ID Type / Status
Subject Lights of New York E40601 entity
Predicate director P255 FINISHED
Object Bryan Foy E74145 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 Foy | Statement: [Lights of New York, director, Bryan Foy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bryan Foy
Context triple: [Lights of New York, director, Bryan Foy]
  • A. Bryan Foy chosen
    Bryan Foy was an American film producer and director, known as one of the pioneering figures of early sound cinema at Warner Bros.
  • B. Jim Gilstrap
    Jim Gilstrap is an American soul and R&B singer best known for his session work and for singing the male lead vocal on the theme song to the television show "Good Times."
  • C. Jim Bridwell
    Jim Bridwell was a pioneering American rock climber and mountaineer renowned for his bold first ascents and influential role in the development of modern big-wall climbing in Yosemite.
  • D. 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.
  • 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_69a8864644bc8190b2358ab897194ac1 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa662d13e88190a22b0faf0d848c7d completed March 6, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0ab743fc8190b181929109642e36 completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:32 p.m.