Triple

T23206528
Position Surface form Disambiguated ID Type / Status
Subject Kamaru Usman E580471 entity
Predicate hasGivenName P17 FINISHED
Object Kamarudeen 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: Kamarudeen | Statement: [Kamaru Usman, hasGivenName, Kamarudeen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamarudeen
Context triple: [Kamaru Usman, hasGivenName, Kamarudeen]
  • A. Kamarudeen chosen
    Kamarudeen is the given first name of Kamaru Usman, a Nigerian-American mixed martial artist and former UFC welterweight champion.
  • B. Shamsuddin
    Shamsuddin is an honorific title of Islamic origin commonly borne by rulers and notable figures, particularly in medieval Muslim dynasties such as the Habshi dynasty.
  • C. Quddus
    Quddus is a television personality best known as one of the prominent hosts of MTV’s music video countdown show "Total Request Live" in the early 2000s.
  • D. Abu Hunaik
    Abu Hunaik is the Arabic nickname of British soldier and administrator John Bagot Glubb, who led and reorganized the Arab Legion in Transjordan (later Jordan) in the mid-20th century.
  • E. Sirajuddin
    Sirajuddin is an Afghan militant leader best known as the head of the Haqqani network and a senior figure within the Taliban.
  • 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.