Triple
T11940460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fantasound stereophonic sound system |
E284159
|
entity |
| Predicate | soundFormatType |
P83355
|
FINISHED |
| Object | optical sound-on-film |
—
|
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: optical sound-on-film | Statement: [Fantasound stereophonic sound system, soundFormatType, optical sound-on-film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soundFormatType Context triple: [Fantasound stereophonic sound system, soundFormatType, optical sound-on-film]
-
A.
audioFormatSupported
Indicates that a particular audio format is recognized and can be correctly processed or played by a given system or component.
-
B.
audioStandard
chosen
Indicates the audio format or specification standard that applies to the associated media or device.
-
C.
audioCodingType
Indicates the specific method or standard used to encode or compress an audio signal.
-
D.
audioSampleRateHz
Indicates the number of audio samples captured or played back per second, measured in hertz (Hz), for the associated audio data.
-
E.
audioSampleRates
Indicates the relationship between an audio resource and the sample rate(s) at which that audio is encoded or can be processed.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903415d2481909d84e6727454b9fe |
completed | April 10, 2026, 2:03 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3af0188190bfb22be5c97b3349 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.