Triple

T11588707
Position Surface form Disambiguated ID Type / Status
Subject Kelly Pegula E274821 entity
Predicate hasRelative P367 FINISHED
Object Kim Pegula E53779 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: Kim Pegula | Statement: [Kelly Pegula, hasRelative, Kim Pegula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kim Pegula
Context triple: [Kelly Pegula, hasRelative, Kim Pegula]
  • A. Kim Pegula chosen
    Kim Pegula is an American businesswoman and sports executive who serves as co-owner and president of the Buffalo Bills and Buffalo Sabres.
  • B. Kelly Pegula
    Kelly Pegula is a member of the Pegula family, known for their prominent role in American professional sports ownership and business.
  • C. Laura Pegula
    Laura Pegula is a member of the Pegula family, known for their prominence in American professional sports and business through ownership stakes in major franchises.
  • D. Katie Smith
    Katie Smith is a Hall of Fame American basketball player and three-time WNBA champion renowned as one of the league’s greatest scorers and most versatile guards.
  • E. Kayla Pospisil
    Kayla Pospisil is a fictional Fox News employee portrayed by Margot Robbie in the 2019 film "Bombshell," representing a composite character who experiences and exposes workplace sexual harassment.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89463360c8190b91228c46bfe2e5f completed April 10, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69e71451f1388190b72d7b755d198999 completed April 21, 2026, 6:08 a.m.
Created at: April 8, 2026, 9:38 p.m.