Triple
T32907294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italo disco |
E841775
|
entity |
| Predicate | relatedScene |
P163985
|
FINISHED |
| Object | 1980s club culture |
—
|
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: 1980s club culture | Statement: [Italo disco, relatedScene, 1980s club culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedScene Context triple: [Italo disco, relatedScene, 1980s club culture]
-
A.
sharedSceneWith
Indicates that two entities appear together within the same scene or setting.
-
B.
partOfScene
Indicates that one entity functions as a component or element within a larger scene or setting involving another entity.
-
C.
sceneAssociation
chosen
Indicates a contextual or thematic relationship linking entities that co-occur or interact within the same scene.
-
D.
notableSceneAssociation
Indicates an association between an entity and a notable or memorable scene in which it prominently appears or plays a significant role.
-
E.
isAssociatedWithLabelScene
Indicates that an entity is connected to or involved with a particular labeled scene or scene annotation.
- 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_69f34946a5208190bbd79f0fec4323bd |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:19 a.m.