Triple
T8572393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kimon |
E202957
|
entity |
| Predicate | originatedInMusicScene |
P56238
|
FINISHED |
| Object | Nigerian pop music scene |
—
|
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 pop music scene | Statement: [Kimon, originatedInMusicScene, Nigerian pop music scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originatedInMusicScene Context triple: [Kimon, originatedInMusicScene, Nigerian pop music scene]
-
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.
placeOfRecording
Indicates the location where an audio, video, or other recording was made.
-
D.
hasGenreOrigin
Indicates that a genre originates from, or has its roots in, a particular source, place, culture, or tradition.
-
E.
cityOfOriginal
Indicates the city from which something or someone originally comes or was first created or established.
- 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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea43843c8190ac2224d427bb7a75 |
completed | March 31, 2026, 3:37 p.m. |
| PD | Predicate disambiguation | batch_69cbd11856048190a1ce4b83a38f6965 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:21 p.m.