Triple
T20872704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miles in the Sky |
E513933
|
entity |
| Predicate | featuresElectricBass |
P127147
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Miles in the Sky, featuresElectricBass, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresElectricBass Context triple: [Miles in the Sky, featuresElectricBass, true]
-
A.
featuresBasslineFrom
Indicates that a musical work incorporates or uses the bassline from another musical work.
-
B.
featuresElectricSide
Indicates that something includes or is equipped with an electric-powered side or component as part of its design or functionality.
-
C.
hasElectricGuitar
Indicates that an entity possesses or is associated with an electric guitar.
-
D.
usesElectricGuitar
Indicates that an entity performs, creates, or is associated with an action or role that involves playing or employing an electric guitar.
-
E.
usesBassGuitar
chosen
Indicates that one entity plays or employs a bass guitar in relation to another entity or context.
- 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_69e0b4f675cc8190b4e745225b62eb66 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c465693881909fe4c756ddc4f291 |
completed | April 21, 2026, 12:27 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a8dc148190b33ff51894e2a8f9 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:45 p.m.