Triple
T20350616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alastair Fothergill |
E495995
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Frozen Planet |
E22378
|
NE FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Frozen Planet | Statement: [Alastair Fothergill, notableWork, Frozen Planet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frozen Planet Context triple: [Alastair Fothergill, notableWork, Frozen Planet]
-
A.
Frozen Planet
chosen
Frozen Planet is a BBC nature documentary series that explores the wildlife and environments of the Arctic and Antarctic, narrated by Sir David Attenborough.
-
B.
Frozen Planet II
Frozen Planet II is a BBC nature documentary series that explores the impacts of climate change on the world’s coldest and most remote polar and subpolar regions.
-
C.
Ice Land
Ice Land is a frigid, snow- and ice-themed world in Super Mario Bros. 3 known for its slippery terrain and cold-weather enemies.
-
D.
Frozen Worlds
Frozen Worlds is an episode of the nature documentary series "Our Planet" that explores life and survival in Earth's polar and icy regions.
-
E.
Planet Ice
Planet Ice is a UK-based chain of indoor ice rinks offering public skating, ice hockey, and figure skating facilities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
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_69e0b4a3320881909495ae8bc30bc2dc |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6784f8ff48190a070888786f6a989 |
completed | April 20, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0869656ae4819084679d901249c2f7 |
completed | May 16, 2026, 12:56 p.m. |
Created at: April 16, 2026, 11:24 a.m.