Triple
T34760597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Powerhouse |
E1002054
|
entity |
| Predicate | inScene |
P171710
|
FINISHED |
| Object | local club 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: local club scene | Statement: [The Powerhouse, inScene, local club scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inScene Context triple: [The Powerhouse, inScene, local club scene]
-
A.
partOfScene
Indicates that one entity functions as a component or element within a larger scene or setting involving another entity.
-
B.
performedInScene
Indicates that an action or event took place within a specific scene or setting.
-
C.
isSettingOfScene
chosen
Indicates that a particular location, time, or environment serves as the backdrop or context in which a scene takes place.
-
D.
sungInScene
Indicates that a particular song or vocal performance occurs within a specific scene.
-
E.
scenes
Indicates that one entity is a scene or setting in which the other entity occurs, appears, or is depicted.
- 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_69f76db0fb30819096709d43f9a1f45f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.