Triple
T29247872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King |
E741484
|
entity |
| Predicate | voiceActedInJapaneseBy |
P99957
|
FINISHED |
| Object | Harumi Ikoma |
—
|
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: Harumi Ikoma | Statement: [King, voiceActedInJapaneseBy, Harumi Ikoma]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voiceActedInJapaneseBy Context triple: [King, voiceActedInJapaneseBy, Harumi Ikoma]
-
A.
voiceActorJapanese
chosen
Indicates that one entity serves as the Japanese-language voice actor for the other entity.
-
B.
voicedByInAnimeEnglishDub
Indicates that one entity serves as the English dub voice actor for another entity in an anime production.
-
C.
notableVoiceActor
Indicates that one entity is a voice actor who is especially prominent or well-known for their work on the other entity.
-
D.
voiceActorOfPerformer
Indicates that one performer provides the voice for a character or role portrayed by another performer.
-
E.
hasVoiceActing
Indicates that one entity provides voice performance for a character, role, or work associated with another 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_69f0911eba2c8190b07cd2fdf91422c9 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f68a16debc8190a12f5f65ced055d7 |
completed | May 2, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 28, 2026, 12:33 p.m.