Triple
T3563297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Coast hip hop |
E75386
|
entity |
| Predicate | associatedScene |
P22737
|
FINISHED |
| Object | Los Angeles hip hop |
—
|
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: Los Angeles hip hop | Statement: [West Coast hip hop, associatedScene, Los Angeles hip hop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedScene Context triple: [West Coast hip hop, associatedScene, Los Angeles hip hop]
-
A.
partOfScene
Indicates that one entity functions as a component or element within a larger scene or setting involving another entity.
-
B.
associatedWithGenreScene
chosen
Indicates that an entity is connected or related to a particular genre scene, such as a specific stylistic or cultural subcommunity within a broader genre.
-
C.
hasInfluenceFromScene
Indicates that something is affected, shaped, or guided by the characteristics or context of a particular scene.
-
D.
containsScene
Indicates that one entity (typically a media item or narrative work) includes or features a particular scene as part of its content.
-
E.
notableScene
Indicates that a particular scene is especially significant, memorable, or noteworthy within a work or context.
- 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_69ad85d45090819086f34fb85d850a1e |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0a60e6c8190a3c3ddae5b6ded54 |
completed | March 8, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69adb834779081908468e182d5f6cf02 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:21 p.m.