Triple
T5069725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Influents |
E114243
|
entity |
| Predicate | memberOfScene |
P10
|
FINISHED |
| Object | Bay Area punk 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: Bay Area punk scene | Statement: [The Influents, memberOfScene, Bay Area punk scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberOfScene Context triple: [The Influents, memberOfScene, Bay Area punk scene]
-
A.
partOfScene
Indicates that one entity functions as a component or element within a larger scene or setting involving another entity.
-
B.
memberOf
chosen
Indicates that an entity belongs to, is part of, or is a constituent of a larger group, organization, or collection.
-
C.
containsScene
Indicates that one entity (typically a media item or narrative work) includes or features a particular scene as part of its content.
-
D.
memberBecame
Indicates that an entity transitioned into becoming a member of a group, organization, or collection at a specific point in time.
-
E.
hasInfluenceFromScene
Indicates that something is affected, shaped, or guided by the characteristics or context of a particular scene.
- 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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd749f47908190891ac8432c5b5615 |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd7157fe608190b4515d56fdd0a616 |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:39 p.m.