Triple

T14947163
Position Surface form Disambiguated ID Type / Status
Subject Ime Udoka E372695 entity
Predicate familyName P18 FINISHED
Object Udoka E982575 NE FINISHED

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: Udoka | Statement: [Ime Udoka, familyName, Udoka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Udoka
Context triple: [Ime Udoka, familyName, Udoka]
  • A. Ezeagu
    Ezeagu is a local government area in southeastern Nigeria known for its rural communities and agricultural activities within Enugu State.
  • B. Okafor
    Okafor is a surname most prominently associated with Jahlil Okafor, an American professional basketball player and former college star at Duke University.
  • C. Aldridge
    Aldridge is an English-origin surname borne by various notable individuals in fields such as sports, entertainment, and the arts.
  • D. Azubuike chosen
    Azubuike is a Nigerian given name of Igbo origin, commonly used for males and meaning "the past is your strength."
  • E. Arzell
    Arzell is the given first name of American blues singer Z.Z. Hill, known for his influential soul-blues recordings in the 1970s and 1980s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded68e35c481908e47cd68441c5115 completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e963c548190b3a06ffbbb3298b2 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:39 a.m.