Triple
T30926044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ugly Americans |
E787856
|
entity |
| Predicate | mainCharacterVoiceActor |
P173415
|
FINISHED |
| Object | Matt Oberg |
—
|
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: Matt Oberg | Statement: [Ugly Americans, mainCharacterVoiceActor, Matt Oberg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainCharacterVoiceActor Context triple: [Ugly Americans, mainCharacterVoiceActor, Matt Oberg]
-
A.
protagonistVoicedBy
chosen
Indicates that the speaking voice of the main character in a work is provided by a particular performer.
-
B.
motherVoiceActor
Indicates that one entity is the voice actor who portrays the mother of another entity (such as a character) in an audio or audiovisual work.
-
C.
voiceActorForMario
Indicates that one entity serves as the voice actor who provides the spoken or vocal performance for the character Mario in a work or series of works.
-
D.
voiceCharacter
Indicates that one entity provides the voice for, or vocally portrays, a particular character in a work.
-
E.
voiceActorOfPerformer
Indicates that one performer provides the voice for a character or role portrayed by another performer.
- 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_69f224bfaca88190b9d0dfcc86297fe9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7979a073881909a4fde2558e6b6f3 |
completed | May 3, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
Created at: April 29, 2026, 8:51 p.m.