Triple
T634375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NTSC color television standard |
E15990
|
entity |
| Predicate | videoModulation |
P17348
|
FINISHED |
| Object | vestigial sideband amplitude modulation |
—
|
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: vestigial sideband amplitude modulation | Statement: [NTSC color television standard, videoModulation, vestigial sideband amplitude modulation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: videoModulation Context triple: [NTSC color television standard, videoModulation, vestigial sideband amplitude modulation]
-
A.
visualEffect
Indicates that one entity produces, modifies, or is associated with a particular visual effect on another entity or within a scene.
-
B.
videoQuality
Indicates the level or standard of clarity, resolution, and overall visual fidelity associated with a given video.
-
C.
musicVideoTheme
Indicates the thematic concept or subject matter that a music video is centered around or expresses.
-
D.
editedFilm
Indicates that one entity performed the film editing work on another entity, which is a film.
-
E.
musicVideoFeatures
Indicates that a music video includes or prominently showcases a particular person, group, or element.
- 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ee4ee8481908ad45405e3f3835c |
completed | March 1, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69a49d0483908190a5ec42a7403c258e |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49defe58c8190bd39ef47c9f660a7 |
completed | March 1, 2026, 8:13 p.m. |
Created at: March 1, 2026, 7:35 p.m.