Triple
T17783569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dora Akunyili |
E443958
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Akunyili |
—
|
NE NERFINISHED |
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: Akunyili | Statement: [Dora Akunyili, familyName, Akunyili]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akunyili Context triple: [Dora Akunyili, familyName, Akunyili]
-
A.
Akunyili
chosen
Akunyili is a Nigerian surname most notably associated with the artist Njideka Akunyili Crosby and her prominent family.
-
B.
Nwangele
Nwangele is a local government area in Imo State, southeastern Nigeria, known for its predominantly Igbo population and agrarian communities.
-
C.
Nkambe
Nkambe is a town and administrative center in northwestern Cameroon known for its role as the capital of Donga-Mantung Division.
-
D.
Oshikwanyama
Oshikwanyama is a Bantu language variety spoken primarily in northern Namibia and southern Angola, recognized as one of the major dialects of Oshiwambo.
-
E.
Bongwe
Bongwe is a dialect of the Duala language spoken by the Duala people of Cameroon.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487234fc08190b590f20caa431463 |
completed | April 19, 2026, 7:41 a.m. |
Created at: April 10, 2026, 10:12 a.m.