Triple
T25660890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Symphony No. 1 in E-flat major |
E643371
|
entity |
| Predicate | hasHarmonyType |
P103939
|
FINISHED |
| Object | chromatic Romantic harmony |
—
|
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: chromatic Romantic harmony | Statement: [Symphony No. 1 in E-flat major, hasHarmonyType, chromatic Romantic harmony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHarmonyType Context triple: [Symphony No. 1 in E-flat major, hasHarmonyType, chromatic Romantic harmony]
-
A.
usesHarmonyType
chosen
Indicates that one entity employs or is characterized by a particular type or system of harmony in relation to another.
-
B.
hasHarmony
Indicates that two or more entities are in a state of balance, agreement, or pleasing coordination with one another.
-
C.
usesHarmony
Indicates that one entity employs or incorporates harmony—such as coordinated or consonant combinations of elements—in relation to another entity or context.
-
D.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
E.
usesHarmonics
Indicates that one entity employs harmonic frequencies or overtones of another entity or signal as part of its operation or behavior.
- 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_69e77e7e45648190a068ed3faa8016ea |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5faef72a88190b6401a319638ff14 |
completed | May 2, 2026, 1:23 p.m. |
| PD | Predicate disambiguation | batch_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 6:53 p.m.