Triple
T4156498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pole to Pole |
E91426
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | travel documentary television series |
C15052
|
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: travel documentary television series Context triple: [Pole to Pole, instanceOf, travel documentary television series]
-
A.
travel documentarian
A travel documentarian is a creator who explores diverse locations and cultures, capturing and narrating real-world experiences through film, photography, or multimedia storytelling.
-
B.
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.
-
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.
sports documentary series
A sports documentary series is a multi-episode non-fiction program that explores athletes, teams, events, or sports cultures over time through archival footage, interviews, and narrative storytelling.
-
E.
documentary-style film
A documentary-style film is a motion picture that presents real-life events, people, or issues with an observational or journalistic approach, often using interviews, archival footage, and on-location shooting to create a sense of authenticity.
- 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
Created at: March 9, 2026, 3:44 p.m.