Triple
T12259405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ma Lo |
E292181
|
entity |
| Predicate | songwriter |
P1141
|
FINISHED |
| Object | Wizkid |
E59913
|
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: Wizkid | Statement: [Ma Lo, songwriter, Wizkid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wizkid Context triple: [Ma Lo, songwriter, Wizkid]
-
A.
Wizkid
chosen
Wizkid is a Nigerian singer and songwriter widely recognized as one of the leading global stars of Afrobeats music.
-
B.
Davido
Davido is a Nigerian singer, songwriter, and record producer who is one of the leading global stars of contemporary 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.
Burna Boy
Burna Boy is a Nigerian singer, songwriter, and performer renowned internationally for his fusion of Afrobeats with reggae, dancehall, and pop.
-
E.
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.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cd964ec81908241d2b9a96d1025 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79418e26c819088f3aa608d9d65d6 |
completed | May 3, 2026, 6:29 p.m. |
Created at: April 8, 2026, 9:52 p.m.