Triple
T35722372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afro-Cuban Dream: Live & In Clave!!! |
E1032509
|
entity |
| Predicate | hasRhythmicComplexity |
P183861
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Afro-Cuban Dream: Live & In Clave!!!, hasRhythmicComplexity, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRhythmicComplexity Context triple: [Afro-Cuban Dream: Live & In Clave!!!, hasRhythmicComplexity, high]
-
A.
hasTimeSignatureComplexity
Indicates that one musical work, passage, or pattern is characterized by a specified level or type of complexity in its time signature.
-
B.
hasRhythmicStyle
Indicates that one entity exhibits or is characterized by a particular rhythmic pattern or style in its expression or behavior.
-
C.
hasRhythmicOrigin
Indicates that something originates from, is derived from, or is fundamentally based on rhythm or rhythmic patterns.
-
D.
hasRhythmInfluence
Indicates that one entity has influenced or shaped the rhythmic patterns, style, or timing characteristics of another entity.
-
E.
hasTempoVariety
Indicates that an entity exhibits variation or changes in tempo rather than maintaining a constant speed.
- F. None of above. chosen
Provenance (4 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_69f76e102b5881909e5d63a30a5cecbe |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a34e80dc8190980d5b7b0b91341d |
completed | May 3, 2026, 7:34 p.m. |
Created at: May 3, 2026, 4:05 p.m.