Triple
T4786628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Widespread Panic |
E106493
|
entity |
| Predicate | influencedByScene |
P22079
|
FINISHED |
| Object | college rock scene of Athens, Georgia |
—
|
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: college rock scene of Athens, Georgia | Statement: [Widespread Panic, influencedByScene, college rock scene of Athens, Georgia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencedByScene Context triple: [Widespread Panic, influencedByScene, college rock scene of Athens, Georgia]
-
A.
hasInfluenceFromScene
chosen
Indicates that something is affected, shaped, or guided by the characteristics or context of a particular scene.
-
B.
partOfScene
Indicates that one entity functions as a component or element within a larger scene or setting involving another entity.
-
C.
performedInSceneType
Indicates that an action or event was carried out within a scene of a specified type or category.
-
D.
influencedByCurrent
Indicates that something’s state, behavior, or outcome is affected or determined by the current conditions, context, or situation.
-
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_69bd43f4a9588190bf73e20bc27c03cc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65d8f9d881909c24340b8dc6a104 |
completed | March 20, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69bd622e1b408190806c15c61519fc74 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:22 p.m.