Triple
T12680068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | String Quartet No. 2 |
E302920
|
entity |
| Predicate | marksStylisticPhase |
P21658
|
FINISHED |
| Object | transition from late-Romantic tonality to atonality |
—
|
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: transition from late-Romantic tonality to atonality | Statement: [String Quartet No. 2, marksStylisticPhase, transition from late-Romantic tonality to atonality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marksStylisticPhase Context triple: [String Quartet No. 2, marksStylisticPhase, transition from late-Romantic tonality to atonality]
-
A.
marksPhase
Indicates that one event, state, or condition designates the beginning, end, or boundary of a particular phase in a process or sequence.
-
B.
marksStylisticShiftFrom
chosen
Indicates that one element signals a change in style, tone, or manner relative to another element.
-
C.
stylisticRange
Indicates the range or spectrum of styles that characterize or can be applied to something.
-
D.
markingFeature
Indicates a feature that serves as a distinguishing mark or identifier associated with an entity.
-
E.
stylingFeature
Indicates a visual or design-related characteristic applied to an entity, such as formatting, layout, or aesthetic treatment.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961b32dbc81908101fc5f07e26ed3 |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960bb64ec8190bd0400cf0cc8b0a7 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:21 p.m.