Triple
T20331662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beats Studio Buds+ |
E492497
|
entity |
| Predicate | supportsPersonalizedSpatialAudio |
P62625
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [Beats Studio Buds+, supportsPersonalizedSpatialAudio, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsPersonalizedSpatialAudio Context triple: [Beats Studio Buds+, supportsPersonalizedSpatialAudio, no]
-
A.
supportsSpatialAudioWith
chosen
Indicates that one entity is compatible with and can provide or enable spatial audio functionality when used with another entity.
-
B.
supportsAudioReturnChannel
Indicates that one entity is capable of handling an audio return channel from another entity, allowing audio to be sent back over the same connection.
-
C.
supportsMultiRoomAudio
Indicates that the subject is capable of playing synchronized audio across multiple rooms or speakers simultaneously.
-
D.
supportsHighDynamicRangeAudio
Indicates that an entity is capable of handling or providing audio with a high dynamic range, preserving a wide span between the quietest and loudest sounds.
-
E.
supportsRoomScale
Indicates that an entity provides compatibility with or functionality for room-scale operation or experiences.
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677e7baf481909282293d78597634 |
completed | April 20, 2026, 7 p.m. |
| PD | Predicate disambiguation | batch_69e5762655ac8190a8cc48a29fa2c0c4 |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:22 a.m.