Triple
T15412858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diddy Kong |
E368636
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Donkey Kong character |
C4831
|
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: Donkey Kong character Context triple: [Diddy Kong, instanceOf, Donkey Kong character]
-
A.
Donkey Kong game
A Donkey Kong game is an arcade-style platform video game where players navigate characters through obstacle-filled levels to overcome enemies and environmental hazards, often to rescue a captive or achieve high scores.
-
B.
Nintendo character
chosen
A Nintendo character is a fictional persona created or licensed by Nintendo that appears in its video games, media, and related merchandise, often embodying distinctive abilities, personalities, and roles within their respective game worlds.
-
C.
Koopa Troopa
A Koopa Troopa is a turtle-like enemy from the Mario series known for retreating into its shell when stomped, which can then be kicked to interact with the environment and other characters.
-
D.
Scooby-Doo character
A Scooby-Doo character is a fictional member of the mystery-solving ensemble, typically defined by a distinctive personality, role in investigating supernatural-seeming events, and interactions with the talking Great Dane Scooby-Doo.
-
E.
Muppet character
A Muppet character is a fictional, often puppet-based persona from the Muppets franchise, characterized by exaggerated features, distinct personalities, and comedic or musical performances.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
Created at: April 10, 2026, 3:20 a.m.