Triple
T18499298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francesco Landini |
E452024
|
entity |
| Predicate | musicalFormSpecialty |
P6683
|
FINISHED |
| Object | monophonic ballata |
—
|
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: monophonic ballata | Statement: [Francesco Landini, musicalFormSpecialty, monophonic ballata]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalFormSpecialty Context triple: [Francesco Landini, musicalFormSpecialty, monophonic ballata]
-
A.
genreSpecialty
Indicates that an entity specializes in or is particularly associated with a specific genre.
-
B.
hasMusicalForm
chosen
Indicates that one entity (typically a musical work or piece) is characterized by or structured according to a particular musical form.
-
C.
musicalBasisFor
Indicates that one musical work, idea, or element serves as the foundational source or inspiration upon which another musical work, idea, or element is built or derived.
-
D.
musicalAttribute
Indicates a relationship where a musical work, performance, or element is characterized by a specific musical property or quality (such as tempo, key, style, or mood).
-
E.
partOfMusical
Indicates that something is a component, segment, or element belonging to a larger musical work or performance.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e532c3810c81908fa329c177c6d96c |
completed | April 19, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69e469dbf5208190b6fc49e02a087f54 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:36 a.m.