Triple
T2568869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Symphony No. 5 in C minor, Op. 67 |
E57616
|
entity |
| Predicate | openingMotifDescription |
P40259
|
FINISHED |
| Object | short-short-short-long rhythm |
—
|
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: short-short-short-long rhythm | Statement: [Symphony No. 5 in C minor, Op. 67, openingMotifDescription, short-short-short-long rhythm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingMotifDescription Context triple: [Symphony No. 5 in C minor, Op. 67, openingMotifDescription, short-short-short-long rhythm]
-
A.
openingMotive
Indicates the initial reason, trigger, or intent that prompts an action or event to begin.
-
B.
usesMotifsFrom
Indicates that one entity incorporates or draws upon recurring themes, patterns, or elements that originate from another entity.
-
C.
primaryMotif
Indicates that one entity serves as the main recurring theme or dominant motif associated with another entity.
-
D.
reverseMotif
Indicates that one motif is the reversed or inverted form of another motif in structure, order, or direction.
-
E.
openingTheme
Indicates that one entity serves as the opening theme (such as a song or musical piece) for another entity, typically a show, series, or similar work.
- 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_69ab4a51410081908501dcf8bad9adc4 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd380d6e081909c124e8a0b7feef3 |
completed | March 7, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69abd0cc8d308190ae7aa32b8f5ae2e5 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd1aa13a08190a8757c017d8a2478 |
completed | March 7, 2026, 7:20 a.m. |
Created at: March 6, 2026, 9:48 p.m.