Triple
T16356972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VRSE.works |
E397206
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | virtual reality production company |
C37342
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: virtual reality production company Context triple: [VRSE.works, instanceOf, virtual reality production company]
-
A.
video production company
A video production company is a business that specializes in planning, filming, and editing video content for clients such as businesses, organizations, and individuals.
-
B.
commercial production company
A commercial production company is a business entity that specializes in planning, filming, and producing video advertisements and branded content for clients across various media platforms.
-
C.
post-production company
A post-production company is a specialized business that handles the editing, visual effects, sound design, color grading, and final assembly of film, television, and other media projects after principal photography is completed.
-
D.
simulation technology company
A simulation technology company develops advanced software and hardware systems that create realistic virtual models of real-world processes, environments, or products to support training, analysis, design, and decision-making.
-
E.
film post-production company
A film post-production company is a business that specializes in editing, visual effects, sound design, color grading, and final mastering to complete and polish film and video projects after principal photography.
- F. None of above. chosen
Provenance (1 batch)
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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 10, 2026, 5:07 a.m.