Triple
T37126816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Hail King Julien |
E919409
|
entity |
| Predicate | voiceActorOfMaurice |
P188500
|
FINISHED |
| Object | Kevin Michael Richardson |
—
|
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: Kevin Michael Richardson | Statement: [All Hail King Julien, voiceActorOfMaurice, Kevin Michael Richardson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voiceActorOfMaurice Context triple: [All Hail King Julien, voiceActorOfMaurice, Kevin Michael Richardson]
-
A.
voiceActorOfMonster
Indicates that one entity provides the voice acting performance for a monster character in a work.
-
B.
voiceActorForMickeyMouse
Indicates that one entity serves as the voice actor who performs the character Mickey Mouse in audio or audiovisual works.
-
C.
voiceActorForEd
Indicates that one entity serves as the voice actor for the character or role named Ed.
-
D.
voiceActorForMenagerie
Indicates that one entity serves as the voice actor for a character or role in the production "Menagerie."
-
E.
voiceActorForSebastian
Indicates that one entity serves as the voice actor who provides the spoken performance for the character Sebastian in a work.
- F. None of above. chosen
Provenance (4 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_69f76e9d13e48190a108f7fbf80ff375 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69fba789c1188190973a919bfe2871f3 |
completed | May 6, 2026, 8:41 p.m. |
Created at: May 3, 2026, 4:15 p.m.