Triple
T17218586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bukky Bakray |
E417914
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Bukky Bakray |
E417914
|
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: Bukky Bakray | Statement: [Bukky Bakray, name, Bukky Bakray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bukky Bakray Context triple: [Bukky Bakray, name, Bukky Bakray]
-
A.
Bukky Bakray
chosen
Bukky Bakray is a British actress best known for her acclaimed breakout role in the film "Rocks," which earned her major industry recognition and awards.
-
B.
Kele Okereke
Kele Okereke is a British musician and singer-songwriter best known as the lead vocalist and rhythm guitarist of the indie rock band Bloc Party.
-
C.
Samson Kayo
Samson Kayo is a British actor and comedian known for his roles in television comedies such as "Timewasters," "Famalam," and "Bloods."
-
D.
Ayuba Adewale
Ayuba Adewale is a prominent Nigerian musician renowned for modernizing and popularizing fújì music.
-
E.
Bukky Ajayi
Bukky Ajayi was a veteran Nigerian actress renowned for her work in film, television, and theater, and regarded as one of the matriarchs of Nollywood.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42ddb2b148190b3b50572cc285e3d |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01675553b88190a04987b0de62cb15 |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:38 a.m.