Triple

T17459289
Position Surface form Disambiguated ID Type / Status
Subject Calgary Hitmen E425110 entity
Predicate formerOwner P347 FINISHED
Object Bret Hart NE NERFINISHED

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: Bret Hart | Statement: [Calgary Hitmen, formerOwner, Bret Hart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bret Hart
Context triple: [Calgary Hitmen, formerOwner, Bret Hart]
  • A. Bret Hart chosen
    Bret Hart is a legendary Canadian professional wrestler, known as "The Hitman," celebrated for his technical in-ring style and multiple world championships in WWE.
  • B. Scott Hall
    Scott Hall was a prominent professional wrestler best known for his influential role in the New World Order (nWo) faction and his tenure in major promotions like WCW and WWE under the ring name Razor Ramon.
  • C. Scott Hall
    Scott Hall is a prominent academic building on Rutgers University's College Avenue Campus, commonly used for lectures and university events.
  • D. Don Castle
    Don Castle was an American film actor active in the 1930s and 1940s, known for his roles in Hollywood dramas and B-movies.
  • E. Owen Hart
    Owen Hart was a Canadian professional wrestler known for his technical skill, high-flying style, and influential career in WWE during the 1990s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451444e008190944d9668d4d901fa completed April 19, 2026, 3:51 a.m.
Created at: April 10, 2026, 5:47 a.m.