Triple
T32505825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You Yoshinari |
E830789
|
entity |
| Predicate | characterDesignerOf |
P57050
|
FINISHED |
| Object | Little Witch Academia |
—
|
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: Little Witch Academia | Statement: [You Yoshinari, characterDesignerOf, Little Witch Academia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterDesignerOf Context triple: [You Yoshinari, characterDesignerOf, Little Witch Academia]
-
A.
characterDesigner
chosen
Indicates a relationship where an entity is responsible for designing or creating the visual or conceptual characteristics of a character.
-
B.
characterCreator
Indicates that one entity is the creator or originator of a character associated with another entity.
-
C.
usesCharacterDesignFrom
Indicates that one entity employs or incorporates the character design originally created for another entity.
-
D.
characterArtForm
Indicates a relationship where a character is associated with, depicted in, or expressed through a particular artistic form or medium.
-
E.
creatorOfCharacter
Indicates that one entity is the originator or author who created or conceived the other entity as a character.
- 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_69f349219cb8819087e120f509629c1b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69feecf1bb248190ba30f0bb1d22ee08 |
completed | May 9, 2026, 8:14 a.m. |
| PD | Predicate disambiguation | batch_69feea5f27748190b223ee4e3ba5a678 |
completed | May 9, 2026, 8:03 a.m. |
Created at: May 1, 2026, 1 a.m.