Triple
T24250103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cantate da camera |
E603498
|
entity |
| Predicate | employsTexture |
P53016
|
FINISHED |
| Object | monody with continuo |
—
|
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: monody with continuo | Statement: [Cantate da camera, employsTexture, monody with continuo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employsTexture Context triple: [Cantate da camera, employsTexture, monody with continuo]
-
A.
usesTexture
chosen
Indicates that one entity employs or incorporates the texture of another entity in its appearance, design, or representation.
-
B.
typicalTexture
Indicates the usual or characteristic surface feel or consistency that is commonly associated with an entity.
-
C.
texture
Indicates the surface quality or feel of an entity as perceived by touch or appearance, such as being smooth, rough, soft, or coarse.
-
D.
agingAffectsTexture
Indicates that the process of aging changes or influences the texture of an entity.
-
E.
textureFeatures
Indicates that one entity possesses or is characterized by specific surface or material texture properties described by the other 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_69e29540da0481909a38bdae315b7a02 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28b889798819086769788f188c9eb |
completed | April 29, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:04 a.m.