Triple

T12625612
Position Surface form Disambiguated ID Type / Status
Subject Ngozi Ezeonu E301504 entity
Predicate hasChild P369 FINISHED
Object Uche Ezeonu E1013353 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: Uche Ezeonu | Statement: [Ngozi Ezeonu, hasChild, Uche Ezeonu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uche Ezeonu
Context triple: [Ngozi Ezeonu, hasChild, Uche Ezeonu]
  • A. Emeka Okafor
    Emeka Okafor is a former American professional basketball center best known for starring at UConn, where he led the Huskies to the 2004 NCAA championship, and for being the second overall pick in the 2004 NBA Draft.
  • B. Chidera Ezeonu chosen
    Chidera Ezeonu is known as one of the children of prominent Nigerian actress Ngozi Ezeonu.
  • C. Ngozi Oduah
    Ngozi Oduah is a person bearing the given name Ngozi, likely of Igbo or broader Nigerian origin.
  • D. Ogonna Nnamani
    Ogonna Nnamani is an American former volleyball star and Olympian who was a standout outside hitter for Stanford University and the U.S. national team.
  • E. Fam Udeorji
    Fam Udeorji is a television producer best known for serving as an executive producer on the acclaimed horror-comedy series "Swarm."
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9610a897c8190a96f3c78d4b270a2 completed April 10, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbb2a1088190974e9736873466d1 completed May 3, 2026, 4:14 a.m.
Created at: April 9, 2026, 5:14 p.m.