Triple
T31930278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midnight |
E815224
|
entity |
| Predicate | featuresAmbientSoundscapes |
P165005
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Midnight, featuresAmbientSoundscapes, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresAmbientSoundscapes Context triple: [Midnight, featuresAmbientSoundscapes, yes]
-
A.
usesBeatlessSoundscape
chosen
Indicates that something employs a musical or audio backdrop that lacks a discernible rhythmic beat or percussion.
-
B.
exploresSound
Indicates that an entity actively investigates, experiments with, or examines sound or audio-related phenomena.
-
C.
speechNature
Indicates the manner or type of speech involved in an interaction, such as its style, tone, or communicative function.
-
D.
showcasesSoundOf
Indicates that one entity presents or highlights the characteristic sound produced by another entity.
-
E.
soundCategory
Indicates the classification relationship where a sound is assigned to a particular category or type of sound.
- 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_69f348f3035c81908558e2339955abb3 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a00a602b6b48190a9dea8ae22d2fa05 |
completed | May 10, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_6a00a559bf3881909a7b50776d8f47bb |
completed | May 10, 2026, 3:33 p.m. |
Created at: May 1, 2026, 12:04 a.m.