Triple

T15883511
Position Surface form Disambiguated ID Type / Status
Subject Hell in a Cell match E385132 entity
Predicate notablePerformer P17435 FINISHED
Object Batista E578345 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: Batista | Statement: [Hell in a Cell match, notablePerformer, Batista]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batista
Context triple: [Hell in a Cell match, notablePerformer, Batista]
  • A. Batista
    Batista is a Spanish-origin surname most famously associated with Fulgencio Batista, the former Cuban military leader and president.
  • B. Batista chosen
    Batista is the professional wrestling persona of Dave Bautista, a powerhouse WWE superstar known for his multiple world championships and explosive "Batista Bomb" finisher.
  • C. Mac Benoff
    Mac Benoff was an American screenwriter best known for his work on mid-20th-century film comedies.
  • D. Umaga
    Umaga was a Samoan-American professional wrestler best known for his dominant, wild-man persona in WWE during the mid-2000s.
  • E. Dante Reyes
    Dante Reyes is the flamboyant and vengeful primary antagonist in the film *Fast X*, portrayed by Jason Momoa in the Fast & Furious franchise.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156186b98819087b80ade6bd71a69 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa95466e08190a967114821651e60 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:51 a.m.