Triple
T20192067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Dedede |
E492998
|
entity |
| Predicate | roleInAnime |
P139082
|
FINISHED |
| Object | main antagonist in Kirby: Right Back at Ya! |
—
|
LITERAL 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: main antagonist in Kirby: Right Back at Ya! | Statement: [King Dedede, roleInAnime, main antagonist in Kirby: Right Back at Ya!]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInAnime Context triple: [King Dedede, roleInAnime, main antagonist in Kirby: Right Back at Ya!]
-
A.
roleInKingdomHearts
Indicates the specific narrative or functional role an entity plays within the Kingdom Hearts series.
-
B.
roleInDisney
Indicates that an entity has a role or participation in a Disney-related production, project, or organization.
-
C.
roleInMonsterVerse
Indicates that an entity has a specific role or function within the MonsterVerse franchise or universe.
-
D.
roleInGameplay
Indicates the specific function or responsibility an entity has within the context of gameplay or game mechanics.
-
E.
roleInScene
Indicates that an entity participates in a particular scene with a specific role or function within that scene.
- F. None of above. chosen
Provenance (4 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad654648190a27521e6e8ea40c5 |
completed | April 20, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69e55b11124c8190babacf2a0fe2d057 |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56700b1a08190ace53cf95827d72d |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:37 p.m.