Triple
T11965949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trumpet Concerto in E-flat major |
E284789
|
entity |
| Predicate | hasMiddleMovementCharacter |
P102531
|
FINISHED |
| Object | lyrical and expressive Andante |
—
|
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: lyrical and expressive Andante | Statement: [Trumpet Concerto in E-flat major, hasMiddleMovementCharacter, lyrical and expressive Andante]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMiddleMovementCharacter Context triple: [Trumpet Concerto in E-flat major, hasMiddleMovementCharacter, lyrical and expressive Andante]
-
A.
hasMediumCharacter
Indicates that one entity possesses or is associated with a character whose size, intensity, or degree is classified as medium.
-
B.
hasMovementType
Indicates the type or mode of movement associated with an entity, such as how it moves or is transported.
-
C.
hasSpecialCharacter
Indicates that a given entity (such as a string or identifier) contains at least one non-alphanumeric special character.
-
D.
hasMovementVariant
Indicates that one movement is an alternative or variant form of another movement.
-
E.
hasSubmovement
Indicates that a movement or action is composed of, or contains within it, a smaller constituent movement.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9037adf5881908abe1a4e64a71f20 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb40f30c8190a0e0719bd67542bf |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8dd0ba0f88190b7d5e358c27ca184 |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 8, 2026, 9:46 p.m.