Triple
T4246179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sweat |
E95532
|
entity |
| Predicate | featuresMoreUpTempoTracksThan |
P54925
|
FINISHED |
| Object | Suit |
—
|
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: Suit | Statement: [Sweat, featuresMoreUpTempoTracksThan, Suit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresMoreUpTempoTracksThan Context triple: [Sweat, featuresMoreUpTempoTracksThan, Suit]
-
A.
hasTempoChanges
Indicates that the tempo of the piece or segment changes over its duration, rather than remaining constant.
-
B.
musicFusionOf
Indicates a relationship where one musical work, style, or element is created by combining or blending two or more distinct musical sources or genres.
-
C.
featuresBeatSwitch
Indicates that one entity includes or incorporates a change in rhythmic pattern or beat, typically marking a transition within a sequence or composition.
-
D.
tempoFeature
Indicates a relationship where a musical or rhythmic element is characterized by, or associated with, a specific tempo-related property or feature.
-
E.
tempo
Indicates the speed or pace at which an action, process, or sequence unfolds over time.
- 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_69b3453d91548190b4d4ef8fe52aa2ac |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e8db5bc8190873c5ae3753aaa58 |
completed | March 12, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69b347f587148190a1830503459939b6 |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e04ef1c81908bb34ae1cbfab1e6 |
completed | March 12, 2026, 11:36 p.m. |
Created at: March 12, 2026, 11:05 p.m.