Triple
T22842822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barak Records |
E566126
|
entity |
| Predicate | basedInScene |
P61824
|
FINISHED |
| Object | Detroit hip hop 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: Detroit hip hop scene | Statement: [Barak Records, basedInScene, Detroit hip hop scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedInScene Context triple: [Barak Records, basedInScene, Detroit hip hop scene]
-
A.
activeInScene
chosen
Indicates that an entity is currently present and participating within a particular scene or context.
-
B.
partOfScene
Indicates that one entity functions as a component or element within a larger scene or setting involving another entity.
-
C.
performedInScene
Indicates that an action or event took place within a specific scene or setting.
-
D.
hasInfluenceFromScene
Indicates that something is affected, shaped, or guided by the characteristics or context of a particular scene.
-
E.
hasSceneLocation
Indicates that a scene or event takes place at, or is set in, a specific location.
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e866080819091adfb41cd2a4e13 |
completed | April 29, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69eed2d117088190acbfe130d84f8627 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:36 p.m.