Triple
T30006121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Flame (dance remix) |
E762324
|
entity |
| Predicate | knownInScene |
P65126
|
FINISHED |
| Object | 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: club scene | Statement: [The Flame (dance remix), knownInScene, club scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knownInScene Context triple: [The Flame (dance remix), knownInScene, club scene]
-
A.
knownIn
chosen
Indicates that an entity is recognized, acknowledged, or familiar within a particular context, domain, or group.
-
B.
performedInScene
Indicates that an action or event took place within a specific scene or setting.
-
C.
recognizedIn
Indicates that an entity is formally acknowledged, honored, or given recognition within a particular context, setting, or domain.
-
D.
knownInLanguage
Indicates that an entity is recognized, named, or expressed in a particular language.
-
E.
knownToBe
Indicates that one entity is recognized or acknowledged as being a certain way, having a certain property, or fitting a particular description by others.
- 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_69f2246a47ac81909cf5213053687ffc |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 29, 2026, 6:42 p.m.