Triple
T12431265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayodeji Ibrahim Balogun |
E297033
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Soco |
E292162
|
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: Soco | Statement: [Ayodeji Ibrahim Balogun, notableWork, Soco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soco Context triple: [Ayodeji Ibrahim Balogun, notableWork, Soco]
-
A.
Soco
chosen
"Soco" is a hit Afrobeats single by Nigerian artist Wizkid, known for its infectious rhythm and for popularizing the Starboy collective sound.
-
B.
Socor
Socor is a component or segment of the larger work or entity known as "No Long Thing."
-
C.
Sogecine
Sogecine is a Spanish film production company known for backing acclaimed auteur-driven cinema, including works by director Alejandro Amenábar.
-
D.
Owaneco
Owaneco was a prominent Mohegan sachem (chief) known for his leadership and land dealings in colonial New England during the late 17th and early 18th centuries.
-
E.
Sosanya
Sosanya is a surname most notably associated with British actress Nina Sosanya, known for her extensive work in television, film, and theatre.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d7f2fd08190ab959742dbd8f9c0 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6349d29c481909a37fd386cc06575 |
completed | May 2, 2026, 5:30 p.m. |
Created at: April 8, 2026, 9:55 p.m.