Triple
T30357550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony MZ-1 |
E772188
|
entity |
| Predicate | audioInput |
P170207
|
FINISHED |
| Object | digital optical input |
—
|
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: digital optical input | Statement: [Sony MZ-1, audioInput, digital optical input]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: audioInput Context triple: [Sony MZ-1, audioInput, digital optical input]
-
A.
audioStreaming
Indicates that one entity is transmitting audio data in real time for another entity to receive or play back.
-
B.
audioTransmission
Indicates that an audio signal is being sent or conveyed from one entity (source) to another (destination) through some transmission medium or channel.
-
C.
soundRecordingBy
Indicates that a sound recording was created, performed, or produced by a particular agent (such as an artist, band, or producer).
-
D.
audioChip
Indicates that one entity functions as, or contains, an audio processing chip in relation to another entity.
-
E.
audioApplication
Indicates that an entity is an application whose primary function involves processing, playing, recording, or otherwise handling audio content.
- F. None of above. chosen
Provenance (4 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_69f2248c6f5c8190a6177842bf791a3c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68b121eac81909e90416207bc1157 |
completed | May 2, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f68a160374819084d720985f800dfc |
completed | May 2, 2026, 11:34 p.m. |
Created at: April 29, 2026, 7:57 p.m.