Triple
T21658528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South |
E534531
|
entity |
| Predicate | usesRhythmSection |
P62011
|
FINISHED |
| Object | piano, bass, drums, guitar or banjo |
—
|
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: piano, bass, drums, guitar or banjo | Statement: [South, usesRhythmSection, piano, bass, drums, guitar or banjo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesRhythmSection Context triple: [South, usesRhythmSection, piano, bass, drums, guitar or banjo]
-
A.
hasRhythmicStyle
Indicates that one entity exhibits or is characterized by a particular rhythmic pattern or style in its expression or behavior.
-
B.
hasRapSectionBy
Indicates that something (such as a song or track) contains a rap section performed or created by a specified artist or entity.
-
C.
hasRhythmSection
chosen
Indicates that an entity (such as a musical group or piece) includes or is associated with a rhythm section component.
-
D.
rhythmSectionPerformer
Indicates that a performer participates specifically as a member of the rhythm section within a musical ensemble.
-
E.
hasShiftingMusicalSections
Indicates that a musical work contains distinct sections whose musical characteristics (such as tempo, key, style, or mood) change noticeably over the course of the piece.
- 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c05a8d881909f747635bdb4ef09 |
completed | April 27, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69e696826c3c81909270791e79760937 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:36 p.m.