Triple
T12896099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngozi Onwurah |
E308496
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ngozi |
E54077
|
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: Ngozi | Statement: [Ngozi Onwurah, givenName, Ngozi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ngozi Context triple: [Ngozi Onwurah, givenName, Ngozi]
-
A.
Ngozi
chosen
Ngozi is a Nigerian given name of Igbo origin commonly used for females and meaning "blessing."
-
B.
Ngala
Ngala is a Bantu ethnic group and language community primarily found in the Democratic Republic of the Congo.
-
C.
Anizi
Anizi refers to a member or native of the Anizah (Anaza) tribe, a large and historically influential Arab tribal confederation originating in the Arabian Peninsula.
-
D.
Ochosi
Ochosi is an orisha in the Yoruba and Afro-Caribbean religious traditions, revered as a divine hunter, tracker, and guardian of justice.
-
E.
Agulu
Agulu is a town in southeastern Nigeria known for its large natural lake and location within Anambra State.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9717d859481908957510babac2d69 |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a55f98c08190b8910b1443841fa7 |
completed | May 3, 2026, 1:31 a.m. |
Created at: April 9, 2026, 5:40 p.m.