Triple
T33075513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | III. Scherzo: Allegro pesante |
E846349
|
entity |
| Predicate | rhythmicProfile |
P112024
|
FINISHED |
| Object | driving dotted rhythms |
—
|
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: driving dotted rhythms | Statement: [III. Scherzo: Allegro pesante, rhythmicProfile, driving dotted rhythms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rhythmicProfile Context triple: [III. Scherzo: Allegro pesante, rhythmicProfile, driving dotted rhythms]
-
A.
rhythmicOrganization
Indicates how temporal patterns, accents, and durations are structured or arranged in relation to one another within a sequence or system.
-
B.
hasRhythmicStyle
Indicates that one entity exhibits or is characterized by a particular rhythmic pattern or style in its expression or behavior.
-
C.
featuresRhythm
chosen
Indicates that something includes, exhibits, or is characterized by a particular rhythmic pattern or structure.
-
D.
hasRhythmicOrigin
Indicates that something originates from, is derived from, or is fundamentally based on rhythm or rhythmic patterns.
-
E.
typicalTempoCharacterization
Indicates how the usual or characteristic tempo of something is described or 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_69f3495405b88190967af2157b43b896 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d27120988190aacec621cf2bf0e8 |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:25 a.m.