Triple
T12258566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soco |
E292162
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Wizkid verse |
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 verse | Statement: [Soco, hasPart, Wizkid verse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wizkid verse Context triple: [Soco, hasPart, Wizkid verse]
-
A.
Wizkid
chosen
Wizkid is a Nigerian singer and songwriter widely recognized as one of the leading global stars of Afrobeats music.
-
B.
Olamide
Olamide is a Nigerian rapper, singer, and songwriter widely recognized as one of the most influential figures in modern Afrobeats and street-pop music.
-
C.
Wale
Wale is an American rapper and songwriter known for his witty wordplay, poetic lyricism, and hits like "Lotus Flower Bomb" and "Bad."
-
D.
Davido
Davido is a Nigerian singer, songwriter, and record producer who is one of the leading global stars of contemporary Afrobeats music.
-
E.
Shatta Wale
Shatta Wale is a popular Ghanaian dancehall artist known for his hit songs, energetic performances, and major influence on the country’s contemporary music scene.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ccadc3c81908fe68adc3fdcc851 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60abfc8588190ab9300c6e5e59092 |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:52 p.m.