Triple
T10973718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VHS |
E259313
|
entity |
| Predicate | typicalRecordingSpeeds |
P96931
|
FINISHED |
| Object | SP |
—
|
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: SP | Statement: [VHS, typicalRecordingSpeeds, SP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRecordingSpeeds Context triple: [VHS, typicalRecordingSpeeds, SP]
-
A.
soundRecordingSpeed
Indicates the recording speed at which an audio recording was captured or is intended to be played back.
-
B.
audioSampleRates
Indicates the relationship between an audio resource and the sample rate(s) at which that audio is encoded or can be processed.
-
C.
typicalRecordingDuration
Indicates the usual or standard length of time that something is recorded.
-
D.
typicalNumberOfRecordingsChosen
Indicates the usual or standard number of recordings that are selected in a given context or process.
-
E.
recordingType
Indicates the specific kind or category of recording associated with an entity (e.g., audio, video, live, studio, etc.).
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7719c16648190ab5a87abb1c61990 |
completed | April 9, 2026, 9:30 a.m. |
| PD | Predicate disambiguation | batch_69d72e8c27cc81908050590b7a04cafd |
completed | April 9, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69d7322370648190ba14cdd6fb4cdcb0 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:24 p.m.