Triple
T17058312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SRS Headphone technology |
E413886
|
entity |
| Predicate | audioChannelInput |
P89728
|
FINISHED |
| Object | stereo |
—
|
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: stereo | Statement: [SRS Headphone technology, audioChannelInput, stereo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: audioChannelInput Context triple: [SRS Headphone technology, audioChannelInput, stereo]
-
A.
audioStreaming
Indicates that one entity is transmitting audio data in real time for another entity to receive or play back.
-
B.
audioChannels
Indicates the number or configuration of distinct audio signal paths (such as mono, stereo, or surround) used in a recording, transmission, or playback.
-
C.
audioChip
Indicates that one entity functions as, or contains, an audio processing chip in relation to another entity.
-
D.
audioChannelsType
chosen
Indicates the type or configuration of audio channels used in an audio signal or recording (e.g., mono, stereo, surround).
-
E.
audioProcessing
Indicates that one entity performs operations to analyze, modify, or transform audio data associated with 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7b553c81908ec70ba0d0988710 |
completed | April 18, 2026, 7:28 p.m. |
| PD | Predicate disambiguation | batch_69e35d60a588819084f53ef9f8b2e7c0 |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:34 a.m.