Triple
T12990624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferrari (song) |
E321891
|
entity |
| Predicate | originatesFromMusicScene |
P56238
|
FINISHED |
| Object | Nigerian music industry |
—
|
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: Nigerian music industry | Statement: [Ferrari (song), originatesFromMusicScene, Nigerian music industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originatesFromMusicScene Context triple: [Ferrari (song), originatesFromMusicScene, Nigerian music industry]
-
A.
associatedWithMusicScene
chosen
Indicates a relationship where an entity is connected or linked to a particular music scene, culture, or community.
-
B.
originatedFromBand
Indicates that an entity (such as a musician or group) originally came from or was formed as part of a particular band.
-
C.
performerOrigin
Indicates that a performer originates from, or is associated with, a particular place or region.
-
D.
workedAsSessionMusicianFor
Indicates that one entity performed as a session musician providing musical services or recordings for another entity, typically an artist, band, or production.
-
E.
influencesMusicOf
Indicates that one entity has an effect on, shapes, or contributes to the musical style, content, or development of another entity.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69d97dbdd94c8190ac4bbecca02dc77b |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:43 p.m.