Triple
T16374774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ECM Records |
E397651
|
entity |
| Predicate | soundAesthetic |
P100410
|
FINISHED |
| Object | reverberant acoustic sound |
—
|
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: reverberant acoustic sound | Statement: [ECM Records, soundAesthetic, reverberant acoustic sound]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soundAesthetic Context triple: [ECM Records, soundAesthetic, reverberant acoustic sound]
-
A.
soundDesignBy
Indicates that the sound design for a work (such as a film, game, or performance) is created or supervised by a particular person or entity.
-
B.
soundDesignFor
Indicates that one entity is responsible for creating or shaping the audio or soundscape used in another entity (such as a work, scene, or production).
-
C.
soundEngine
Indicates that one entity functions as or provides the sound engine (audio processing or synthesis system) used by another entity.
-
D.
soundMotif
chosen
Indicates a recurring or thematically significant sound pattern associated with an entity, event, or context.
-
E.
soundEffects
Indicates that one entity produces, contains, or is associated with sound effects used to accompany or enhance 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319d6942081909616a2c6efee9967 |
completed | April 18, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69e226f37ecc819082af58b29b4e39d1 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:08 a.m.