Triple
T11392354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keyboard Sonata in E minor (F.3) "Polonaise" |
E269874
|
entity |
| Predicate | expressiveCharacter |
P70301
|
FINISHED |
| Object | expressive |
—
|
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: expressive | Statement: [Keyboard Sonata in E minor (F.3) "Polonaise", expressiveCharacter, expressive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expressiveCharacter Context triple: [Keyboard Sonata in E minor (F.3) "Polonaise", expressiveCharacter, expressive]
-
A.
hasExpressiveRole
Indicates that an entity serves a communicative or expressive function or role in relation to another entity or context.
-
B.
dramaticCharacter
Indicates that one entity is a character or role that appears within the dramatic work, performance, or narrative represented by the other entity.
-
C.
expressiveQuality
chosen
Indicates the distinctive emotional or stylistic character conveyed by something, such as how it feels, sounds, or appears in an expressive sense.
-
D.
character1
Indicates that the subject is identified as the first or primary character in a narrative or context.
-
E.
moreExpressiveThan
Indicates that one entity conveys ideas, emotions, or information with greater richness, nuance, or clarity than another.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d8001796f48190822526f52e3f0337 |
completed | April 9, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69d7e70b228c8190b87f5101fd683788 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:34 p.m.