Triple
T9604862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piano Trio No. 2 in C minor, Op. 66 |
E231942
|
entity |
| Predicate | usesCyclicMotifs |
P47229
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Piano Trio No. 2 in C minor, Op. 66, usesCyclicMotifs, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCyclicMotifs Context triple: [Piano Trio No. 2 in C minor, Op. 66, usesCyclicMotifs, true]
-
A.
usesMotifsFrom
Indicates that one entity incorporates or draws upon recurring themes, patterns, or elements that originate from another entity.
-
B.
isCyclic
Indicates that a structure, process, or sequence forms a closed loop in which elements or states repeat in a cycle.
-
C.
usesRepetition
chosen
Indicates that one entity employs repeated elements, actions, or patterns as a deliberate feature or technique in relation to another entity or context.
-
D.
includedInCycle
Indicates that an entity participates in and is part of a closed loop or recurring sequence within a system or structure.
-
E.
usesCircuitsAlsoUsedBy
Indicates that one entity makes use of electrical circuits that are also utilized by 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_69ca8484838c8190b2049199d22fef70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a5e4a7c8190830b5ad9762ece46 |
completed | April 1, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69ccd5a6fd2481908efd131e207b8143 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:08 p.m.