Triple
T14703228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Candy |
E345359
|
entity |
| Predicate | voiceActorNationality |
P36925
|
FINISHED |
| Object | American |
—
|
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: American | Statement: [King Candy, voiceActorNationality, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voiceActorNationality Context triple: [King Candy, voiceActorNationality, American]
-
A.
voiceActorAccent
Indicates that a voice actor performs their role using a specified accent.
-
B.
nationalityOfActor
chosen
Indicates that a specified nationality is associated with, or belongs to, a particular actor.
-
C.
voiceActorJapanese
Indicates that one entity serves as the Japanese-language voice actor for the other entity.
-
D.
notableVoiceActor
Indicates that one entity is a voice actor who is especially prominent or well-known for their work on the other entity.
-
E.
portrayalNationalityOfActor
Indicates that an actor portrays a character of a specified nationality in a performance or work.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb6071e5c8190bb5509c859135c2d |
completed | April 14, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69de657c57ec8190ae0b9bb79a514566 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.