Triple

T23206529
Position Surface form Disambiguated ID Type / Status
Subject Kamaru Usman E580471 entity
Predicate familyName P18 FINISHED
Object Usman 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: Usman | Statement: [Kamaru Usman, familyName, Usman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Usman
Context triple: [Kamaru Usman, familyName, Usman]
  • A. Usman chosen
    Usman is a surname most prominently associated with Kamaru Usman, a Nigerian-American mixed martial artist and former UFC Welterweight Champion.
  • B. Mohammed Usman
    Mohammed Usman is a Nigerian-American mixed martial artist and heavyweight competitor, known both for his own career in organizations like the UFC and as the younger brother of former UFC welterweight champion Kamaru Usman.
  • C. Siddiq
    Siddiq is a hip-hop producer and music executive best known as the co-founder of the independent record label Rhymesayers Entertainment.
  • D. Qasim
    Qasim is a central character in Naguib Mahfouz’s novel "Children of Gebelawi," representing a modern, socially conscious figure modeled on the Prophet Muhammad within the book’s allegorical retelling of religious history.
  • E. Qasim
    Qasim is a masculine given name of Arabic origin commonly used in various Muslim-majority cultures.
  • 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_69e24602ae1481908aaa6bc7ca493867 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1907cd62c8190afee1e963b170727 completed April 29, 2026, 5 a.m.
Created at: April 17, 2026, 4:07 p.m.