Triple
T11475078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C major (BWV 1005) |
E272005
|
entity |
| Predicate | textureCharacteristicInFugue |
P99492
|
FINISHED |
| Object | dense polyphony |
—
|
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: dense polyphony | Statement: [C major (BWV 1005), textureCharacteristicInFugue, dense polyphony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textureCharacteristicInFugue Context triple: [C major (BWV 1005), textureCharacteristicInFugue, dense polyphony]
-
A.
textureFeatures
Indicates that one entity possesses or is characterized by specific surface or material texture properties described by the other entity.
-
B.
texture
Indicates the surface quality or feel of an entity as perceived by touch or appearance, such as being smooth, rough, soft, or coarse.
-
C.
textileFeature
Indicates a characteristic, property, or notable aspect associated with a textile or fabric.
-
D.
fiberCharacteristic
Indicates a relationship where a specific characteristic or property is attributed to a fiber or fibrous material.
-
E.
typicalTexture
Indicates the usual or characteristic surface feel or consistency that is commonly associated with an entity.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8294c8dc48190a515f83c99405a3b |
completed | April 9, 2026, 10:33 p.m. |
| PD | Predicate disambiguation | batch_69d8086ecd6c81908f424864857762d6 |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d8279925e4819089210611c0d8e61a |
completed | April 9, 2026, 10:26 p.m. |
Created at: April 8, 2026, 9:36 p.m.