Triple
T24564993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mystery of Heaven |
E607759
|
entity |
| Predicate | featuresSoundscape |
P88201
|
FINISHED |
| Object | ambient soundscapes |
—
|
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: ambient soundscapes | Statement: [The Mystery of Heaven, featuresSoundscape, ambient soundscapes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresSoundscape Context triple: [The Mystery of Heaven, featuresSoundscape, ambient soundscapes]
-
A.
exploresSound
Indicates that an entity actively investigates, experiments with, or examines sound or audio-related phenomena.
-
B.
featuresLabelSound
Indicates that an entity includes or presents a sound associated with a specific label or tagged category.
-
C.
featuresSoundCollage
chosen
Indicates that something incorporates a sound collage, combining multiple audio sources or fragments into a layered or composite sonic piece.
-
D.
soundCategory
Indicates the classification relationship where a sound is assigned to a particular category or type of sound.
-
E.
featuresInstrumentalDialogue
Indicates that the situation or work includes dialogue that serves an instrumental or functional purpose, such as advancing a task, plan, or procedure.
- 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_69e2c4cc35a48190990b7571bc086df8 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a8f9d0f881909afc04537c32f76b |
completed | April 30, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:28 a.m.