Triple

T21588208
Position Surface form Disambiguated ID Type / Status
Subject Kevin Holland E532707 entity
Predicate organization P629 FINISHED
Object UFC 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: UFC | Statement: [Kevin Holland, organization, UFC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UFC
Context triple: [Kevin Holland, organization, UFC]
  • A. UFC
    UFC is the commonly used abbreviation for the University of Franche-Comté, a French public university based in Besançon.
  • B. Ultimate Fighting Championship chosen
    The Ultimate Fighting Championship (UFC) is the world’s leading mixed martial arts promotion, organizing high-profile fights across multiple weight classes featuring top fighters from around the globe.
  • C. MMA
    MMA is the commonly used acronym for the Chilean Ministry of Environment, the government body responsible for environmental policy and regulation in Chile.
  • D. MMA
    MMA is the commonly used abbreviation for Brazil’s Ministry of the Environment, the federal body responsible for environmental policy and conservation in the country.
  • E. MMA
    The Monterey Museum of Art is a cultural institution in Monterey, California, known for its collections and exhibitions of California art, photography, and contemporary works.
  • 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_69e0c46251648190876f0427cf2d321b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeeb621ab88190a33a943424ffb306 completed April 27, 2026, 4:51 a.m.
Created at: April 16, 2026, 6:31 p.m.