Triple
T37126818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Hail King Julien |
E919409
|
entity |
| Predicate | voiceActorOfClover |
P188932
|
FINISHED |
| Object | India de Beaufort |
—
|
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: India de Beaufort | Statement: [All Hail King Julien, voiceActorOfClover, India de Beaufort]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voiceActorOfClover Context triple: [All Hail King Julien, voiceActorOfClover, India de Beaufort]
-
A.
voiceActorOfPerformer
Indicates that one performer provides the voice for a character or role portrayed by another performer.
-
B.
voiceActorForCarol
Indicates that one entity serves as the voice actor who performs the spoken or vocal role for Carol.
-
C.
voiceActorFemale
Indicates that the subject is a female voice actor who provides the voice for the specified character or role.
-
D.
voiceActorForEd
Indicates that one entity serves as the voice actor for the character or role named Ed.
-
E.
voiceActorOfTom
Indicates that one entity serves as the voice actor for the character or role associated with Tom.
- 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_69fbaf18085481908c774e8f8bbb9a41 |
completed | May 6, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69fbaebbb7f88190b4edfd9b83550aad |
completed | May 6, 2026, 9:12 p.m. |
Created at: May 3, 2026, 4:15 p.m.