Triple
T10973712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VHS |
E259313
|
entity |
| Predicate | videoSignalType |
P79874
|
FINISHED |
| Object | composite video |
—
|
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: composite video | Statement: [VHS, videoSignalType, composite video]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: videoSignalType Context triple: [VHS, videoSignalType, composite video]
-
A.
videoStandard
chosen
Indicates the video format or broadcasting standard that applies to a given video or recording.
-
B.
televisionFormat
Indicates the specific type or style of television program or production format associated with an entity.
-
C.
digitalStandard
Indicates that one entity defines, specifies, or embodies a recognized digital standard that the other entity follows, implements, or is evaluated against.
-
D.
videoQuality
Indicates the level or standard of clarity, resolution, and overall visual fidelity associated with a given video.
-
E.
videoOutput
Indicates that one entity produces or provides video signals or content as output to another entity or medium.
- 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_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. |
Created at: April 8, 2026, 9:24 p.m.