Triple
T11753341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cavatina: Adagio molto espressivo |
E279460
|
entity |
| Predicate | expressiveMarking |
P70301
|
FINISHED |
| Object | molto espressivo |
—
|
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: molto espressivo | Statement: [Cavatina: Adagio molto espressivo, expressiveMarking, molto espressivo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expressiveMarking Context triple: [Cavatina: Adagio molto espressivo, expressiveMarking, molto espressivo]
-
A.
expressiveQuality
chosen
Indicates the distinctive emotional or stylistic character conveyed by something, such as how it feels, sounds, or appears in an expressive sense.
-
B.
musicalSymbol
Indicates that one entity is a musical notation mark or sign associated with another entity in a musical context.
-
C.
movement3TempoMarking
Indicates the tempo marking associated specifically with the third movement of a musical work.
-
D.
expressivePower
Indicates the degree to which one system, language, or formalism can represent or capture the behaviors, structures, or concepts expressible in another.
-
E.
distinctiveMarking
Indicates that one entity bears a unique or distinguishing visual feature or pattern that sets it apart from others.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a50b8a14819092a7397d73f0a8e3 |
completed | April 10, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69d88a813cc48190a3dfdc60e8af80ae |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:41 p.m.