Triple
T24613255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dear Miles |
E609177
|
entity |
| Predicate | featuresCompositionAssociatedWith |
P52407
|
FINISHED |
| Object | Miles Davis |
—
|
NE NERFINISHED |
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: Miles Davis | Statement: [Dear Miles, featuresCompositionAssociatedWith, Miles Davis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresCompositionAssociatedWith Context triple: [Dear Miles, featuresCompositionAssociatedWith, Miles Davis]
-
A.
featuresCompositionBy
Indicates that something includes or presents a composition created by a particular composer or creator.
-
B.
featuresComplexCompositions
Indicates that the subject includes or presents compositions that are intricate, multi-layered, or structurally sophisticated.
-
C.
compositionalFeature
chosen
Indicates that one entity is a structural or constituent feature that forms part of the composition or makeup of another entity.
-
D.
combinesFeaturesOf
Indicates that one entity integrates or merges characteristics, attributes, or functionalities originating from multiple other entities.
-
E.
featuresRepresentationOf
Indicates that one entity visually or symbolically depicts, portrays, or includes a representation of another 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_69e2c4d1140081909c58667bf68f80c3 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:31 a.m.