Triple
T12088461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disneynature |
E287872
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | nature documentary label |
C30075
|
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: nature documentary label Context triple: [Disneynature, instanceOf, nature documentary label]
-
A.
nature documentary
A nature documentary is a non-fiction film or television program that uses real-world footage, expert narration, and sound design to explore and explain aspects of the natural world, such as wildlife, ecosystems, and environmental phenomena.
-
B.
nature documentary brand
chosen
A nature documentary brand is a cohesive identity that consistently produces and promotes visually compelling, scientifically grounded storytelling about wildlife, ecosystems, and environmental issues across various media platforms.
-
C.
science documentary series
A science documentary series is a multi-episode non-fiction program that explores scientific concepts, discoveries, and phenomena through expert interviews, real-world footage, and explanatory narration.
-
D.
documentary classification
Documentary classification is the process of categorizing documentary films or media into defined genres, themes, or subject areas based on their content, style, and purpose.
-
E.
travel documentary television series
A travel documentary television series is a non-fiction program that follows hosts or narrators as they explore different locations around the world, highlighting local cultures, landscapes, history, and experiences.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
Created at: April 8, 2026, 9:48 p.m.