Triple

T21738855
Position Surface form Disambiguated ID Type / Status
Subject Maria Teresa Mestre y Batista E536597 entity
Predicate familyName P18 FINISHED
Object Batista 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: Batista | Statement: [Maria Teresa Mestre y Batista, familyName, Batista]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batista
Context triple: [Maria Teresa Mestre y Batista, familyName, Batista]
  • A. Batista chosen
    Batista is a Spanish-origin surname most famously associated with Fulgencio Batista, the former Cuban military leader and president.
  • B. Batista
    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. Dino Bravo
    Dino Bravo was a Canadian professional wrestler best known for his time in the World Wrestling Federation (WWF) during the 1980s and early 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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69effd0e94c4819096bace0c661f5156 completed April 28, 2026, 12:19 a.m.
Created at: April 16, 2026, 6:49 p.m.