Triple
T14853797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shades of Blue |
E349298
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Dayo Okeniyi |
E1075462
|
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: Dayo Okeniyi | Statement: [Shades of Blue, starring, Dayo Okeniyi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dayo Okeniyi Context triple: [Shades of Blue, starring, Dayo Okeniyi]
-
A.
Dayo Okeniyi
chosen
Dayo Okeniyi is a Nigerian-born actor known for roles in films such as "The Hunger Games" and various American television series.
-
B.
Ebem Ohafia
Ebem Ohafia is a prominent village and community within the Ohafia local government area of Abia State, southeastern Nigeria, known as one of the principal Ohafia clans.
-
C.
Jude Akuwudike
Jude Akuwudike is a Nigerian-British actor known for his work in film, television, and theatre, including a role in the war drama "Beasts of No Nation."
-
D.
Anthony Okungbowa
Anthony Okungbowa is a British-Nigerian actor, film producer, and DJ best known as the longtime resident DJ on The Ellen DeGeneres Show and for roles in independent films.
-
E.
Jimmy Odukoya
Jimmy Odukoya is a Nigerian actor and pastor best known internationally for his role in the historical epic film "The Woman King."
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded44318f0819080b6c599f2d3474f |
completed | April 14, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72a87dd88190b0f0c3b9b625a7e6 |
completed | May 8, 2026, 11:32 p.m. |
Created at: April 10, 2026, 1:54 a.m.