Triple
T12321441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DMW |
E293736
|
entity |
| Predicate | signedArtist |
P16560
|
FINISHED |
| Object | Ayanfe |
E1008239
|
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: Ayanfe | Statement: [DMW, signedArtist, Ayanfe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ayanfe Context triple: [DMW, signedArtist, Ayanfe]
-
A.
Ayanfe
chosen
Ayanfe is a Nigerian singer and songwriter known for his Afrobeat and Afropop music, and for being signed to Davido’s DMW record label.
-
B.
Ayegunle
Ayegunle is a village in southwestern Nigeria known as one of the communities where the Ukaan language is traditionally spoken.
-
C.
Elegbá
Elegbá is a powerful Yoruba and Afro-Caribbean orisha known as the divine messenger and guardian of crossroads, communication, and destiny.
-
D.
Ikare-Akoko
Ikare-Akoko is a major commercial and cultural town in southwestern Nigeria, serving as one of the key urban centers in the Akoko region.
-
E.
Ewu
Ewu is a historic Esan town and traditional kingdom in Edo State, southern Nigeria, known for its cultural heritage and local monarchy.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4c2b548190938fff9427f07dc7 |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af3d7778819091ab96f5d218d2c7 |
completed | May 3, 2026, 2:13 a.m. |
Created at: April 8, 2026, 9:53 p.m.