Triple
T26488477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Ops Aviation |
E664891
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | aerial cinematography company |
C35704
|
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 cinematography company Context triple: [Black Ops Aviation, instanceOf, aerial cinematography company]
-
A.
video production company
chosen
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.
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.
-
C.
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.
-
D.
aerial entertainment operator
An aerial entertainment operator is an entity that plans, manages, and executes airborne performances or attractions—such as air shows, drone light displays, or stunt flights—for public or private events.
-
E.
cinematography education company
A cinematography education company provides structured training, resources, and mentorship to teach individuals the artistic and technical skills of camera work, lighting, and visual storytelling for film and video production.
- F. None of above.
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.