Triple
T27103172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maestro Minnie |
E686493
|
entity |
| Predicate | portraysMinnieAs |
P181405
|
FINISHED |
| Object | maestro |
—
|
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: maestro | Statement: [Maestro Minnie, portraysMinnieAs, maestro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysMinnieAs Context triple: [Maestro Minnie, portraysMinnieAs, maestro]
-
A.
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).
-
B.
portrayedInAnimationBy
Indicates that an entity is represented or voiced in an animated work by a particular performer or creator.
-
C.
portraysYoungerVersionOfCharacterFrom
Indicates that one character is depicted as a younger version of another character from a specified source.
-
D.
roleInDisney
Indicates that an entity has a role or participation in a Disney-related production, project, or organization.
-
E.
voiceActorForMickeyMouse
Indicates that one entity serves as the voice actor who performs the character Mickey Mouse in audio or audiovisual works.
- 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_69ef1489f8b481908e24a1985982bd26 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f7764ab1fc81909f9348db87bd7692 |
completed | May 3, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f76905d9c88190b1ee810bc9ab644f |
completed | May 3, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69f77648979c8190b6cdbb835ab8987c |
completed | May 3, 2026, 4:22 p.m. |
Created at: April 27, 2026, 8:49 a.m.