Triple
T19327321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kehinde Wiley |
E483393
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Kehinde |
—
|
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: Kehinde | Statement: [Kehinde Wiley, hasGivenName, Kehinde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kehinde Context triple: [Kehinde Wiley, hasGivenName, Kehinde]
-
A.
Kehinde
chosen
Kehinde is a given name notably borne by American portrait painter Kehinde Wiley, renowned for his vibrant, large-scale depictions of Black subjects.
-
B.
Yetunde
Yetunde is a feminine given name of Yoruba origin meaning "mother has returned," commonly used in West Africa and among the Yoruba diaspora.
-
C.
Okieriete
Okieriete is a Nigerian-American actor and singer best known for originating the roles of Hercules Mulligan and James Madison in the Broadway musical "Hamilton."
-
D.
Joann Owosekun
Joann Owosekun is a Starfleet officer and bridge crew member serving as a operations and communications specialist aboard the USS Discovery in the Star Trek: Discovery series.
-
E.
Adesuwa
Adesuwa is a Nigerian film that helped establish actress Ngozi Ezeonu’s prominence in Nollywood.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6163e3a5081909195192356bcebc3 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 10, 2026, 1:33 p.m.