Triple
T12321014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Activate |
E293727
|
entity |
| Predicate | featuredArtist |
P997
|
FINISHED |
| Object | Davido |
E61097
|
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: Davido | Statement: [Activate, featuredArtist, Davido]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Davido Context triple: [Activate, featuredArtist, Davido]
-
A.
Davido
chosen
Davido is a Nigerian singer, songwriter, and record producer who is one of the leading global stars of contemporary Afrobeats music.
-
B.
Wizkid
Wizkid is a Nigerian singer and songwriter widely recognized as one of the leading global stars of Afrobeats music.
-
C.
Adekunle Gold
Adekunle Gold is a Nigerian singer, songwriter, and graphic designer known for his blend of highlife, Afropop, and contemporary R&B music.
-
D.
Don Jazzy
Don Jazzy is a Nigerian record producer, singer, and entrepreneur best known as the co-founder of Mo’ Hits Records and founder of Mavin Records, influential in shaping contemporary Afrobeats.
-
E.
Kizz Daniel
Kizz Daniel is a Nigerian Afrobeats singer and songwriter known for hit songs like "Woju," "Mama," and "Buga."
- 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_69fd466577508190b1926c475b7c49dc |
completed | May 8, 2026, 2:11 a.m. |
Created at: April 8, 2026, 9:53 p.m.