Triple
T20140111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uzoamaka Nwanneka Aduba |
E491140
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Uzoamaka |
—
|
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: Uzoamaka | Statement: [Uzoamaka Nwanneka Aduba, givenName, Uzoamaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uzoamaka Context triple: [Uzoamaka Nwanneka Aduba, givenName, Uzoamaka]
-
A.
Uzoamaka
chosen
Uzoamaka is the full given name of Emmy-winning American actress Uzo Aduba, known for her role as Suzanne "Crazy Eyes" Warren on the series Orange Is the New Black.
-
B.
Ukwuani
Ukwuani is a local government area in Delta State, Nigeria, associated with the Anioma (Igbo-speaking) people.
-
C.
Ugbokolo
Ugbokolo is a town in Okpokwu Local Government Area of Benue State, Nigeria, known as a local commercial and educational center in the region.
-
D.
Umuahia
Umuahia is a city in southeastern Nigeria that serves as a major administrative and commercial center in the region.
-
E.
Ugbokpo
Ugbokpo is a town in Benue State, Nigeria, serving as the administrative headquarters of Apa Local Government Area.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66798d59c81908ebcd6644b1b3744 |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:32 p.m.