Triple

T11196900
Position Surface form Disambiguated ID Type / Status
Subject Shaw E264945 entity
Predicate hasNotableBearer P458 FINISHED
Object Bryan Shaw E145658 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 Shaw | Statement: [Shaw, hasNotableBearer, Bryan Shaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bryan Shaw
Context triple: [Shaw, hasNotableBearer, Bryan Shaw]
  • A. Bryan Shaw chosen
    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.
  • B. Bryan Devendorf
    Bryan Devendorf is an American drummer best known as a founding member and rhythmic backbone of the indie rock band The National.
  • C. Shawn Eckhardt
    Shawn Eckhardt was a key figure in the 1994 figure skating scandal involving the attack on Nancy Kerrigan, portrayed as a central character in the film "I, Tonya."
  • D. Bryan Burk
    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.
  • E. Bryan Bedford
    Bryan Bedford is an American airline executive best known for leading regional carriers such as Chautauqua Airlines and Republic Airways Holdings.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8c082fc8190866c574f698b59ef completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6684574908190bd7e3d1a7dd6d876 completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 9:29 p.m.