Triple
T30348902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | エンジェルビーツ |
E771936
|
entity |
| Predicate | キャラクター原案 |
P57050
|
FINISHED |
| Object | Na-Ga |
—
|
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: Na-Ga | Statement: [エンジェルビーツ, キャラクター原案, Na-Ga]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: キャラクター原案 Context triple: [エンジェルビーツ, キャラクター原案, Na-Ga]
-
A.
characterDesigner
chosen
Indicates a relationship where an entity is responsible for designing or creating the visual or conceptual characteristics of a character.
-
B.
franchiseCharacterCreator
Indicates that an entity is the creator or originator of a character that belongs to a particular franchise.
-
C.
creatorOfCharacter
Indicates that one entity is the originator or author who created or conceived the other entity as a character.
-
D.
illustratorOfOriginalLightNovel
Indicates that one entity is the illustrator who created the original artwork for a specific light novel.
-
E.
hasIllustratedCharacters
Indicates that something includes or features characters that are depicted through illustrations.
- F. None of above.
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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6820a250c8190ba7afa43f6f55c46 |
completed | May 2, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 7:56 p.m.