Triple
T12529151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fugue in C major, BWV 846 |
E299513
|
entity |
| Predicate | counterpointStyle |
P105734
|
FINISHED |
| Object | tonal fugue |
—
|
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: tonal fugue | Statement: [Fugue in C major, BWV 846, counterpointStyle, tonal fugue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: counterpointStyle Context triple: [Fugue in C major, BWV 846, counterpointStyle, tonal fugue]
-
A.
usesCounterpoint
Indicates that one entity employs counterpoint, combining independent melodic lines in a structured, interdependent musical relationship with another.
-
B.
containsCounterpoint
Indicates that one element includes or incorporates another element that serves as a contrasting or opposing argument, idea, or perspective.
-
C.
counterplay
Indicates a responsive action or strategy taken to oppose, mitigate, or neutralize another party’s move or advantage.
-
D.
counterSlogan
Indicates that one slogan is created or used specifically to oppose, refute, or undermine another slogan.
-
E.
turningPointAgainst
Indicates a pivotal moment or event that shifts momentum or advantage against a particular entity or side.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d9540d7b788190a0d57b098e90e491 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d95f5148948190946a575d812b329d |
completed | April 10, 2026, 8:36 p.m. |
Created at: April 8, 2026, 9:57 p.m.