Triple
T32672310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kosaki Onodera |
E835329
|
entity |
| Predicate | languageOfAnimeVoice |
P47965
|
FINISHED |
| Object | Japanese |
—
|
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: Japanese | Statement: [Kosaki Onodera, languageOfAnimeVoice, Japanese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfAnimeVoice Context triple: [Kosaki Onodera, languageOfAnimeVoice, Japanese]
-
A.
voicedInLanguage
Indicates that an entity produces spoken or vocal output using a specified language.
-
B.
voicedByInAnimeEnglishDub
Indicates that one entity serves as the English dub voice actor for another entity in an anime production.
-
C.
languageDubbedIn
Indicates that the content’s audio has been dubbed into the specified language.
-
D.
languageOfVocalization
chosen
Indicates the language in which a vocalization (such as speech or singing) is produced.
-
E.
languageSpokenOnScreen
Indicates that a particular language is used in spoken dialogue or audible communication within an on-screen work (such as a film, show, or video).
- 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_69f3493134b48190aa3c8cb523bd3800 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ffe8ebe9fc8190b1934a3c4074370c |
completed | May 10, 2026, 2:09 a.m. |
| PD | Predicate disambiguation | batch_69ffe83a5de88190bed3e8bac86e8760 |
completed | May 10, 2026, 2:06 a.m. |
Created at: May 1, 2026, 1:09 a.m.