Triple
T37988176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piano Sonata No. 16 in G major, Op. 31 No. 1 |
E947752
|
entity |
| Predicate | secondMovementAlternativeTitle |
P40263
|
FINISHED |
| Object | Adagio grazioso (con espressione) |
—
|
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: Adagio grazioso (con espressione) | Statement: [Piano Sonata No. 16 in G major, Op. 31 No. 1, secondMovementAlternativeTitle, Adagio grazioso (con espressione)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondMovementAlternativeTitle Context triple: [Piano Sonata No. 16 in G major, Op. 31 No. 1, secondMovementAlternativeTitle, Adagio grazioso (con espressione)]
-
A.
secondMovementTitle
chosen
Indicates the title or name given to the second movement of a multi-movement musical work.
-
B.
secondShortTitle
Indicates that an entity has a secondary or alternative short title associated with it.
-
C.
secondSeriesTitle
Indicates that an entity has a second series whose title is given by the related value.
-
D.
secondFilmTitle
Indicates that the specified value is the title of the second film associated with an entity or within a sequence of films.
-
E.
secondPartTitle
Indicates that one entity is the second part of the title of another 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_69f76ef8a1d08190a741bbbc5970e3b3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ffb97b8ff8819088b105d99a0820c9 |
completed | May 9, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69ffb88ef7388190a710120ed76edc0e |
completed | May 9, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:20 p.m.