Triple
T37126815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Hail King Julien |
E919409
|
entity |
| Predicate | voiceActorOfKingJulien |
P114616
|
FINISHED |
| Object | Danny Jacobs |
E985359
|
NE 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: Danny Jacobs | Statement: [All Hail King Julien, voiceActorOfKingJulien, Danny Jacobs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voiceActorOfKingJulien Context triple: [All Hail King Julien, voiceActorOfKingJulien, Danny Jacobs]
-
A.
voiceActorForTheKing
chosen
Indicates that one entity provides the voice performance for a character referred to as "the King" in a work.
-
B.
voiceActorForSebastian
Indicates that one entity serves as the voice actor who provides the spoken performance for the character Sebastian in a work.
-
C.
voiceActorOfPerformer
Indicates that one performer provides the voice for a character or role portrayed by another performer.
-
D.
voiceActorForTigger
Indicates that one entity serves as the voice actor who provides the spoken performance for the character Tigger.
-
E.
voiceActorOfMonster
Indicates that one entity provides the voice acting performance for a monster character in a work.
- F. None of above.
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_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3f6a1f7db08190b20030e6c0290e60 |
completed | June 27, 2026, 6:13 a.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:15 p.m.