Triple
T20350796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monkey Kingdom |
E495999
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object | Disneynature |
—
|
NE NERFINISHED |
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: Disneynature | Statement: [Monkey Kingdom, distributor, Disneynature]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Disneynature Context triple: [Monkey Kingdom, distributor, Disneynature]
-
A.
Disneynature
chosen
Disneynature is a film label specializing in high-quality nature documentaries, known for producing cinematic wildlife and environmental films.
-
B.
Ice Age Entertainment
Ice Age Entertainment is an independent record label best known for releasing music by Houston rapper Mike Jones.
-
C.
Skydance Animation
Skydance Animation is an American animation studio, part of Skydance Media, known for producing feature-length animated films under the creative leadership of former Pixar chief John Lasseter.
-
D.
DreamWorks Animation
DreamWorks Animation is a major American animation studio known for producing popular computer-animated films such as Shrek, Madagascar, Kung Fu Panda, and How to Train Your Dragon.
-
E.
Nemo Films
Nemo Films is a film production company known for producing the science fiction drama series "Silo."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 16, 2026, 11:24 a.m.