Triple
T11808718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uzooma Okeke |
E280814
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Uzooma |
E280814
|
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: Uzooma | Statement: [Uzooma Okeke, givenName, Uzooma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uzooma Context triple: [Uzooma Okeke, givenName, Uzooma]
-
A.
Anozie
Anozie is the surname of British-Nigerian actor Nonso Anozie, known for his roles in film, television, and theatre.
-
B.
Uzooma Okeke
chosen
Uzooma Okeke is a former Canadian Football League offensive lineman best known for his standout career with the Montreal Alouettes, where he became a multiple-time all-star and award winner.
-
C.
Opuuo
Opuuo is a lesser-known Koman language spoken by a small ethnic community in the Ethiopia–South Sudan border region.
-
D.
Fomboni
Fomboni is the largest town and administrative center of the island of Mohéli in the Comoros, known for its coastal setting and role as the island’s main port and commercial hub.
-
E.
Malongo
Malongo is a major offshore oil field and production hub located off the coast of Cabinda in Angola.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5c93a1881909b428bf3ed55bb57 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f166f16a908190803cc986ce596aa1 |
completed | April 29, 2026, 2:03 a.m. |
Created at: April 8, 2026, 9:42 p.m.