Triple
T12989753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanu |
E321871
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Nwankwo |
E324021
|
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: Nwankwo | Statement: [Kanu, givenName, Nwankwo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nwankwo Context triple: [Kanu, givenName, Nwankwo]
-
A.
Nwankwo
chosen
Nwankwo is the given name of Nigerian football legend Nwankwo Kanu, a highly decorated forward known for his time at Ajax, Inter Milan, and Arsenal.
-
B.
Obinugwu
Obinugwu is a town in southeastern Nigeria located within Onuimo Local Government Area of Imo State.
-
C.
Obinna
Obinna is a Nigerian surname commonly associated with Igbo heritage and borne by various notable individuals.
-
D.
Obi Ngwa
Obi Ngwa is a local government area in Abia State, southeastern Nigeria, known for its predominantly Igbo population and agrarian communities.
-
E.
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.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e75b9f88190a54372c2a1223a4e |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d5f4bedc81909b8dfa79a842e12d |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 8:43 p.m.