Triple
T26488476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Ops Aviation |
E664891
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | aerial film production company |
C51642
|
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: aerial film production company Context triple: [Black Ops Aviation, instanceOf, aerial film production company]
-
A.
documentary film production company
A documentary film production company is an organization that develops, finances, and produces non-fiction films that explore real-world subjects, events, and perspectives for educational, cultural, or entertainment purposes.
-
B.
audiovisual production company
An audiovisual production company is a business that specializes in creating, managing, and delivering multimedia content—such as video, audio, and digital media—for clients across entertainment, advertising, corporate, and educational sectors.
-
C.
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.
-
D.
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.
-
E.
aerial photographer
An aerial photographer is a professional who captures images or video from elevated positions—such as drones, aircraft, or tall structures—to document landscapes, structures, events, or geographic data from a bird’s-eye view.
- 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_69ee883bc85481909885f92415cbce33 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 27, 2026, 12:32 a.m.