Triple

T23152035
Position Surface form Disambiguated ID Type / Status
Subject Batista E578345 entity
Predicate hasFeudWith P16446 FINISHED
Object Triple H 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: Triple H | Statement: [Batista, hasFeudWith, Triple H]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Triple H
Context triple: [Batista, hasFeudWith, Triple H]
  • A. Triple H chosen
    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.
  • B. Scott Steiner
    Scott Steiner is an American professional wrestler known for his muscular physique, intense persona, and successful runs in major promotions like WCW and WWE.
  • C. Mark Henry
    Mark Henry is a retired American professional wrestler and former Olympic weightlifter best known for his powerful "World's Strongest Man" persona in WWE.
  • D. The Miz
    The Miz is an American professional wrestler and media personality best known for his long-running career in WWE, where he has held multiple championships and starred in reality and film projects.
  • E. Kevin Crowley
    Kevin Crowley is an actor known for his role in the film "Can't Hurry Love."
  • 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_69e245fb8de081908f0eba7b5fd75bc4 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18ef982488190984a6358bdcd577c completed April 29, 2026, 4:54 a.m.
Created at: April 17, 2026, 4:01 p.m.