Triple
T22384773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Violin Concerto in A minor, Op. 4 No. 4, RV 356 |
E553365
|
entity |
| Predicate | hasRISMGenre |
P147455
|
FINISHED |
| Object | concertos (violin, string orchestra) |
—
|
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: concertos (violin, string orchestra) | Statement: [Violin Concerto in A minor, Op. 4 No. 4, RV 356, hasRISMGenre, concertos (violin, string orchestra)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRISMGenre Context triple: [Violin Concerto in A minor, Op. 4 No. 4, RV 356, hasRISMGenre, concertos (violin, string orchestra)]
-
A.
hasMusicalEnsembleGenre
Indicates that a musical ensemble is associated with or performs in a particular musical genre.
-
B.
hasCanonicalGenre
Indicates that an entity is associated with its primary or officially recognized genre classification.
-
C.
hasMainGenre
Indicates that an entity’s primary or most characteristic genre is the specified genre.
-
D.
hasMusicalStyleCharacteristic
Indicates that something possesses or exhibits a particular musical style as a defining characteristic.
-
E.
hasArtistGenre
Indicates that an artist is associated with or categorized under a particular musical or artistic genre.
- 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1582e58dc8190a2ad6b10c9d1f951 |
completed | April 29, 2026, 1 a.m. |
| PD | Predicate disambiguation | batch_69e73015484c8190a9a0b9f554b61a81 |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e73597b51c8190aeff27f4779b82f3 |
completed | April 21, 2026, 8:30 a.m. |
Created at: April 16, 2026, 8:45 p.m.