Triple
T30382675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akihiko Kayaba |
E772870
|
entity |
| Predicate | voiceInAnimeEnglish |
P159417
|
FINISHED |
| Object | Marc Diraison |
—
|
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: Marc Diraison | Statement: [Akihiko Kayaba, voiceInAnimeEnglish, Marc Diraison]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voiceInAnimeEnglish Context triple: [Akihiko Kayaba, voiceInAnimeEnglish, Marc Diraison]
-
A.
voicedByInAnimeEnglishDub
chosen
Indicates that one entity serves as the English dub voice actor for another entity in an anime production.
-
B.
hasVoiceActing
Indicates that one entity provides voice performance for a character, role, or work associated with another entity.
-
C.
voiceActingLanguage
Indicates the language in which a voice acting performance is delivered.
-
D.
voiceCharacter
Indicates that one entity provides the voice for, or vocally portrays, a particular character in a work.
-
E.
voiceActorJapanese
Indicates that one entity serves as the Japanese-language voice actor for the other entity.
- 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_69f2248e3444819081b05712dc6873de |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 29, 2026, 8:01 p.m.