Triple
T7362880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dollu Kunitha |
E169793
|
entity |
| Predicate | rhythmPattern |
P7864
|
FINISHED |
| Object | repetitive drum cycles |
—
|
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: repetitive drum cycles | Statement: [Dollu Kunitha, rhythmPattern, repetitive drum cycles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rhythmPattern Context triple: [Dollu Kunitha, rhythmPattern, repetitive drum cycles]
-
A.
typicalTempoPattern
Indicates the characteristic or commonly occurring tempo progression or rhythmic pattern associated with an action or event.
-
B.
rhythmicOrganization
Indicates how temporal patterns, accents, and durations are structured or arranged in relation to one another within a sequence or system.
-
C.
hasRhythmicStyle
chosen
Indicates that one entity exhibits or is characterized by a particular rhythmic pattern or style in its expression or behavior.
-
D.
dancePattern
Indicates a recurring or structured way in which an entity performs or organizes a dance or sequence of dance movements.
-
E.
trackPattern
Indicates that one entity follows, monitors, or records the behavior or state of another according to a defined pattern or sequence.
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f26d6d6081909c7272a9ccae0d97 |
completed | March 27, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69c6f02d36108190bcb34a95e6a30bd7 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:06 p.m.