Triple
T28910523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J’Veux d’la Musique |
E733208
|
entity |
| Predicate | performedByDuoType |
P176529
|
FINISHED |
| Object | Franco-Cameroonian duo |
—
|
LITERAL 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: Franco-Cameroonian duo | Statement: [J’Veux d’la Musique, performedByDuoType, Franco-Cameroonian duo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performedByDuoType Context triple: [J’Veux d’la Musique, performedByDuoType, Franco-Cameroonian duo]
-
A.
performedByDuoFrom
Indicates that an action or performance is carried out by a duo whose origin or affiliation is from a specified place or source.
-
B.
hasNotablePerformerDuo
Indicates that the subject has a notable performing duo associated with it, such as a well-known pair of artists or entertainers who perform together.
-
C.
isPerformedByDuo
chosen
Indicates that an action or event is carried out jointly by two participants acting together as a duo.
-
D.
formedDuoWith
Indicates that two entities joined together to create a duo, typically collaborating or acting as a pair for a shared purpose or activity.
-
E.
fromArtistDuo
Indicates that something originates from or is created by a pair of artists working together as a duo.
- F. None of above.
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_69f05b096d208190958a57d2e4b5a93a |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: April 28, 2026, 8:11 a.m.