Triple
T12918541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngozi Oduah |
E309052
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Oduah |
E309052
|
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: Oduah | Statement: [Ngozi Oduah, familyName, Oduah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oduah Context triple: [Ngozi Oduah, familyName, Oduah]
-
A.
Kelechi
Kelechi is the Nigerian Igbo middle name of American actress Susan Kelechi Watson, reflecting her West African heritage.
-
B.
Arinze
Arinze is a Nigerian surname most notably borne by Cardinal Francis Arinze, a prominent figure in the Roman Catholic Church.
-
C.
Olara Otunnu
Olara Otunnu is a Ugandan diplomat, lawyer, and human rights advocate known for his work on behalf of war-affected children and his leadership roles at the United Nations.
-
D.
Ngozi Oduah
chosen
Ngozi Oduah is a person bearing the given name Ngozi, likely of Igbo or broader Nigerian origin.
-
E.
Osisioma Ngwa
Osisioma Ngwa is a local government area in Abia State, Nigeria, known for its proximity to the commercial city of Aba and its role as a growing industrial and residential hub.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971e6d9fc8190b8a5244b26b5f78a |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af5df0408190a8fe83cdd91e38c9 |
completed | May 3, 2026, 2:13 a.m. |
Created at: April 9, 2026, 5:41 p.m.