Triple
T32068488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auntie Edna |
E818947
|
entity |
| Predicate | voiceActorForCharacter Edna Mode |
P179069
|
FINISHED |
| Object | Brad Bird |
—
|
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: Brad Bird | Statement: [Auntie Edna, voiceActorForCharacter Edna Mode, Brad Bird]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voiceActorForCharacter Edna Mode Context triple: [Auntie Edna, voiceActorForCharacter Edna Mode, Brad Bird]
-
A.
voiceActorForEd
Indicates that one entity serves as the voice actor for the character or role named Ed.
-
B.
voiceActorForEnid
Indicates that one entity serves as the voice actor who provides the spoken performance for the character Enid.
-
C.
voiceActorForMinnieMouse
Indicates that one entity serves as the voice actor who performs the character of Minnie Mouse for another entity (such as a show, film, or production).
-
D.
voiceActorFemale
Indicates that the subject is a female voice actor who provides the voice for the specified character or role.
-
E.
voiceActorForShenzi
Indicates that one entity serves as the voice actor for the character Shenzi in a production.
- 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_69f348fecc088190af1470afe5a969f0 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f719cc31ec819099bebcf833b14d76 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69f71995853c8190912025c0e83640c8 |
completed | May 3, 2026, 9:47 a.m. |
Created at: May 1, 2026, 12:22 a.m.