Triple
T29028456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | II. Andante con espressione |
E737659
|
entity |
| Predicate | overallKeyContext |
P102574
|
FINISHED |
| Object | F-sharp minor sonata |
—
|
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: F-sharp minor sonata | Statement: [II. Andante con espressione, overallKeyContext, F-sharp minor sonata]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: overallKeyContext Context triple: [II. Andante con espressione, overallKeyContext, F-sharp minor sonata]
-
A.
keyContext
chosen
Indicates that one entity provides the primary contextual framework or background within which another entity is interpreted, used, or understood.
-
B.
contextOf
Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
-
C.
majorContext
Indicates that one entity serves as the primary or most significant contextual framework within which the other entity is understood or interpreted.
-
D.
context
Indicates that one entity provides the surrounding circumstances, setting, or background within which another entity, event, or statement occurs or is interpreted.
-
E.
contextType
Indicates the type or category of contextual information associated with an entity or event.
- 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_69f077ef00fc81909325f084ad37c035 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6600bfbf081909eb61c47571e0277 |
completed | May 2, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 9:54 a.m.