Triple
T12715848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayorkun |
E303835
|
entity |
| Predicate | stageName |
P7872
|
FINISHED |
| Object | Mayorkun |
E303835
|
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: Mayorkun | Statement: [Mayorkun, stageName, Mayorkun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mayorkun Context triple: [Mayorkun, stageName, Mayorkun]
-
A.
Mayorkun
chosen
Mayorkun is a Nigerian Afrobeats singer, songwriter, and pianist known for hits like "Mama" and "Che Che" and for emerging under Davido’s DMW label.
-
B.
Fisayo Akinade
Fisayo Akinade is a British actor best known for his roles in television dramas and comedies, including the Channel 4 series "Cucumber."
-
C.
Meji Alabi
Meji Alabi is a Nigerian-British music video director and filmmaker known for his visually striking work with prominent Afrobeats and global artists.
-
D.
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.
-
E.
Ore Oduba
Ore Oduba is a British television and radio presenter best known for his work on BBC children’s news programme Newsround and for winning Strictly Come Dancing in 2016.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9620bd6148190a2f50067a4c18c14 |
completed | April 10, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b05474bc8190a42e2a9540055c47 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 5:23 p.m.