Triple
T22114471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Musica |
E546501
|
entity |
| Predicate | musicalStyleContext |
P45796
|
FINISHED |
| Object | early Baroque monody |
—
|
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: early Baroque monody | Statement: [La Musica, musicalStyleContext, early Baroque monody]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalStyleContext Context triple: [La Musica, musicalStyleContext, early Baroque monody]
-
A.
styleOfMusic
Indicates the musical genre or stylistic category that characterizes a piece of music, artist, or performance.
-
B.
musicalStyleRequirement
Indicates that a specific musical style is required or prescribed for a given entity, context, or performance.
-
C.
genreContext
Indicates the contextual genre or categorical style associated with an entity, such as the thematic or stylistic framework in which it is situated.
-
D.
includesMusicalStyle
Indicates that one entity encompasses, features, or incorporates a particular musical style as part of its content or character.
-
E.
hasMusicalStyleCharacteristic
chosen
Indicates that something possesses or exhibits a particular musical style as a defining characteristic.
- 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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1294c5f908190bdb1cce3cbf86d85 |
completed | April 28, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69e71b2ed7348190b6fa2e52f54393fb |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:31 p.m.