Triple
T38551822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brainy Smurf |
E925130
|
entity |
| Predicate | voiceActedIn2011FilmBy |
P83203
|
FINISHED |
| Object | Fred Armisen |
—
|
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: Fred Armisen | Statement: [Brainy Smurf, voiceActedIn2011FilmBy, Fred Armisen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voiceActedIn2011FilmBy Context triple: [Brainy Smurf, voiceActedIn2011FilmBy, Fred Armisen]
-
A.
hasVoiceActing
chosen
Indicates that one entity provides voice performance for a character, role, or work associated with another entity.
-
B.
leadActorAlsoVoices
Indicates that the lead actor in a production also provides the voice for a character, typically in an animated or voice-over role.
-
C.
speaksInFilm
Indicates that a person or character provides spoken dialogue or voice work within a particular film.
-
D.
voicedByAlsoKnownFor
Indicates that the person who voices a character is also notably recognized for another specific role or work.
-
E.
sungInFilmBy
Indicates that a particular song was vocally performed in a film by a specific person or group.
- 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_69f76eaeb69c8190b367df9330d6f6af |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd2a215d6c8190a1a428ccaee603f1 |
completed | May 8, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69fd28ef19688190bb8370f2812a43e7 |
completed | May 8, 2026, 12:06 a.m. |
Created at: May 3, 2026, 4:32 p.m.