Triple
T16881978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slow and Low |
E421439
|
entity |
| Predicate | hasTempoDescriptor |
P83539
|
FINISHED |
| Object | slow |
—
|
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 | Statement: [Slow and Low, hasTempoDescriptor, slow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTempoDescriptor Context triple: [Slow and Low, hasTempoDescriptor, slow]
-
A.
hasTempoMarking
Indicates that a musical passage, piece, or event is associated with a specific tempo indication or marking.
-
B.
hasTempoChanges
Indicates that the tempo of the piece or segment changes over its duration, rather than remaining constant.
-
C.
hasTempoCategory
chosen
Indicates that something is associated with a particular tempo classification or speed category.
-
D.
hasTempoVariety
Indicates that an entity exhibits variation or changes in tempo rather than maintaining a constant speed.
-
E.
hasTimeSignature
Indicates that a musical work, passage, or segment is associated with a specific time signature defining its rhythmic meter.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7fc61a08190b9f611c06a95be01 |
completed | April 18, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69e32b90ec3c819099c51bb7baf2984c |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:29 a.m.