Triple

T22915997
Position Surface form Disambiguated ID Type / Status
Subject Renzo Gracie Academy E568733 entity
Predicate hasNotableStudent P4838 FINISHED
Object Matt Serra 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: Matt Serra | Statement: [Renzo Gracie Academy, hasNotableStudent, Matt Serra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matt Serra
Context triple: [Renzo Gracie Academy, hasNotableStudent, Matt Serra]
  • A. Matt Serra chosen
    Matt Serra is an American Brazilian jiu-jitsu black belt and former UFC Welterweight Champion known for his grappling expertise and major upset victory over Georges St-Pierre.
  • B. Dan Garcia
    Dan Garcia is a music producer known for his work on early recordings by pop singer Katy Perry, then performing under her birth name Katy Hudson.
  • C. Phil Davis
    Phil Davis is an English actor and director known for his character roles in film and television, including prominent work in British crime dramas and literary adaptations.
  • D. Phil Davis
    Phil Davis is a charming, quick-witted song-and-dance man and army veteran who partners with Bob Wallace in the classic musical film "White Christmas."
  • E. Phil Davis
    Phil Davis is an American musician best known as a member of the 1980s new wave band Fire Town.
  • 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_69e2458d90c88190a58cead4e781ca6a completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18079217481908db98882929ac69a completed April 29, 2026, 3:52 a.m.
Created at: April 17, 2026, 3:42 p.m.