Triple
T32641697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Boy and the Beast |
E834494
|
entity |
| Predicate | hasJapaneseCastMember |
P99957
|
FINISHED |
| Object | Aoi Miyazaki |
—
|
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: Aoi Miyazaki | Statement: [The Boy and the Beast, hasJapaneseCastMember, Aoi Miyazaki]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasJapaneseCastMember Context triple: [The Boy and the Beast, hasJapaneseCastMember, Aoi Miyazaki]
-
A.
hasHumanCast
Indicates that a work or production features human performers as part of its cast.
-
B.
hasJapaneseDebut
Indicates that an entity made its first official appearance, release, or introduction specifically in Japan.
-
C.
hasNameInJapanese
Indicates that an entity is associated with a specific name expressed in the Japanese language.
-
D.
voiceActorJapanese
chosen
Indicates that one entity serves as the Japanese-language voice actor for the other entity.
-
E.
hasJapaneseText
Indicates that an entity contains or is associated with text written in the Japanese language.
- 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_69f3492e773c81908afc10651e46cad3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c775d6188190b236fc4f89a11b61 |
completed | May 3, 2026, 3:56 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f617c08190a70ba880210f908c |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:07 a.m.