Triple
T37020330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Satisfaction (Otis Redding song) |
E916198
|
entity |
| Predicate | musicGenreOfSourceSong |
P111321
|
FINISHED |
| Object | rock |
—
|
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: rock | Statement: [Satisfaction (Otis Redding song), musicGenreOfSourceSong, rock]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicGenreOfSourceSong Context triple: [Satisfaction (Otis Redding song), musicGenreOfSourceSong, rock]
-
A.
genreRecognized
Indicates that a particular genre has been identified or acknowledged as applicable to an entity.
-
B.
musicGenreObsessedWith
Indicates that one entity is intensely preoccupied with or fixated on a particular music genre.
-
C.
musicMotif
Indicates a recurring musical idea, theme, or pattern that appears multiple times within a composition or across related works.
-
D.
musicBrainzGenre
chosen
Indicates that one entity is associated with a musical genre classification as defined in the MusicBrainz database.
-
E.
musicGenreCategory
Indicates that one entity is a broader music genre category under which the other music genre is classified.
- 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_69f76e920dc48190acb6bb7ebc4dffab |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe610e1f6881908f10070ba64643cf |
completed | May 8, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69fe604c6c008190ad659e9b9fa82f7b |
completed | May 8, 2026, 10:14 p.m. |
Created at: May 3, 2026, 4:14 p.m.