Triple
T37495785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cello Concerto in A major, Wq. 172 |
E931822
|
entity |
| Predicate | hasOpeningMovementForm |
P83469
|
FINISHED |
| Object | ritornello-sonata hybrid |
—
|
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: ritornello-sonata hybrid | Statement: [Cello Concerto in A major, Wq. 172, hasOpeningMovementForm, ritornello-sonata hybrid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOpeningMovementForm Context triple: [Cello Concerto in A major, Wq. 172, hasOpeningMovementForm, ritornello-sonata hybrid]
-
A.
hasOpeningMovement
chosen
Indicates that a work, performance, or sequence includes a distinct initial movement or section that begins the overall piece.
-
B.
hasOpening
Indicates that one entity possesses or features an opening, gap, or entrance that allows access, passage, or exposure.
-
C.
hasOpeningType
Indicates that one entity has, features, or is characterized by a particular type or kind of opening.
-
D.
hasOpeningPeriod
Indicates that an entity is associated with a specific time period during which it is open or operational.
-
E.
hasOpeningSetting
Indicates that one entity (typically a narrative work) has its initial scene or setting located in the other entity.
- 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_69f76ec457a4819094eeb3aed9baac11 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd4f39b5008190b83b3227ce22c509 |
completed | May 8, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69fd4df17c548190a4e2a6fea70f7e10 |
completed | May 8, 2026, 2:44 a.m. |
Created at: May 3, 2026, 4:17 p.m.