Triple
T23070561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HWV 260 |
E575180
|
entity |
| Predicate | hasTempoContrast |
P87060
|
FINISHED |
| Object | slow introduction and faster choral sections |
—
|
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: slow introduction and faster choral sections | Statement: [HWV 260, hasTempoContrast, slow introduction and faster choral sections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTempoContrast Context triple: [HWV 260, hasTempoContrast, slow introduction and faster choral sections]
-
A.
hasTempoVariety
Indicates that an entity exhibits variation or changes in tempo rather than maintaining a constant speed.
-
B.
hasTempoChanges
Indicates that the tempo of the piece or segment changes over its duration, rather than remaining constant.
-
C.
hasTempoCategory
Indicates that something is associated with a particular tempo classification or speed category.
-
D.
tempoContrast
chosen
Indicates a relationship where two musical passages or sections differ in tempo, highlighting a contrast in their speed or pacing.
-
E.
hasTempoOrientation
Indicates that one entity is characterized by a particular temporal direction or alignment (such as past-, present-, or future-oriented) in relation to another entity or context.
- 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c5f17348190ab92cfdae9bcaeba |
completed | April 29, 2026, 4:43 a.m. |
| PD | Predicate disambiguation | batch_69ef89d5f71881908b9f9d0c8aab278c |
completed | April 27, 2026, 4:07 p.m. |
Created at: April 17, 2026, 3:56 p.m.