Triple
T4569634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frozen Worlds |
E122998
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | documentary episode |
C15898
|
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: documentary episode Context triple: [Frozen Worlds, instanceOf, documentary episode]
-
A.
documentary television program
chosen
A documentary television program is a non-fiction TV show that presents factual information about real events, people, or topics, often using interviews, archival footage, and on-location filming to inform or educate viewers.
-
B.
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.
-
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.
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.
-
E.
travel documentary series
A travel documentary series is a non-fiction television or streaming program that follows hosts or narrators as they explore different locations around the world, highlighting local cultures, landscapes, histories, 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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
Created at: March 20, 2026, 1:10 p.m.