Triple

T5354178
Position Surface form Disambiguated ID Type / Status
Subject Kurt E102649 entity
Predicate hasNotableBearer P458 FINISHED
Object Kurt Angle E318024 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: Kurt Angle | Statement: [Kurt, hasNotableBearer, Kurt Angle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kurt Angle
Context triple: [Kurt, hasNotableBearer, Kurt Angle]
  • A. Kurt Angle chosen
    Kurt Angle is an American professional wrestler and former Olympic gold medalist best known for his celebrated in-ring career in WWE.
  • B. Bill Goldberg
    Bill Goldberg is a former professional wrestler and NFL player best known for his dominant undefeated streak in World Championship Wrestling (WCW) and later success in WWE.
  • C. John Briscoe
    John Briscoe was a renowned engineer and water resources expert recognized globally for his contributions to water management and policy.
  • D. Rob Van Dam
    Rob Van Dam is an American professional wrestler and former WWE and ECW star known for his high-flying style and innovative offensive moves.
  • E. Triple H
    Triple H is a legendary professional wrestler and WWE executive known for his multiple world championships, influential backstage role, and status as one of the defining figures of modern sports entertainment.
  • 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_69bd43d8f7248190b64c140734b5c9a8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd86149774819084049a8785e3f2e0 completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21dbc540819086aca16af1aa6213 completed March 21, 2026, 10:55 p.m.
Created at: March 20, 2026, 2:01 p.m.