Triple
T29809311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bright Red |
E756913
|
entity |
| Predicate | featuresElectronicSoundscapes |
P165005
|
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: [Bright Red, featuresElectronicSoundscapes, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresElectronicSoundscapes Context triple: [Bright Red, featuresElectronicSoundscapes, true]
-
A.
exploresSound
Indicates that an entity actively investigates, experiments with, or examines sound or audio-related phenomena.
-
B.
showcasesSoundOf
Indicates that one entity presents or highlights the characteristic sound produced by another entity.
-
C.
usesBeatlessSoundscape
chosen
Indicates that something employs a musical or audio backdrop that lacks a discernible rhythmic beat or percussion.
-
D.
featuresSoundCollage
Indicates that something incorporates a sound collage, combining multiple audio sources or fragments into a layered or composite sonic piece.
-
E.
featuresRichHarmonies
Indicates that the subject contains or employs complex, layered, and sonically dense harmonic structures.
- 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_69f2245584848190ad4cab1f07752ccb |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69ffa5f31c8881908c26e2aa52df6ece |
completed | May 9, 2026, 9:24 p.m. |
| PD | Predicate disambiguation | batch_69ffa42aee408190ad1a5f285688b338 |
completed | May 9, 2026, 9:16 p.m. |
Created at: April 29, 2026, 5:22 p.m.