Triple
T36163008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Song One |
E1045925
|
entity |
| Predicate | featuresMusicScene |
—
|
GENERATED |
| Object | indie folk |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresMusicScene Context triple: [Song One, featuresMusicScene, indie folk]
-
A.
featuresIndieMusicScene
Indicates that something includes, highlights, or is characterized by an independent (indie) music scene.
-
B.
musicalScene
chosen
Indicates a relationship where a scene in a work prominently features musical performance or music-driven action.
-
C.
featuresVariousArtists
Indicates that something (typically a creative work) includes contributions from multiple distinct artists rather than a single primary artist.
-
D.
musicFromAttraction
Indicates that the music originates from, or is thematically associated with, a specific attraction.
-
E.
culturalScene
Indicates a relationship where an entity is associated with, participates in, or characterizes a particular cultural environment, milieu, or set of cultural activities.
- F. None of above.
Provenance (1 batch)
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_69f76e396bc88190b99d221bff9be27a |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:08 p.m.