Triple
T31655557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Future Ted Mosby |
E807848
|
entity |
| Predicate | voiceOnlyCharacter |
P178346
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Future Ted Mosby, voiceOnlyCharacter, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voiceOnlyCharacter Context triple: [Future Ted Mosby, voiceOnlyCharacter, true]
-
A.
voiceCharacter
Indicates that one entity provides the voice for, or vocally portrays, a particular character in a work.
-
B.
characterTypeVoiced
Indicates that one character serves as the voice actor or vocal performer for another character.
-
C.
voiceActingRoleIn
Indicates that an entity performs a voice acting role in a specified work or production.
-
D.
voiceActingRole
Indicates that one entity performs the voice acting for a character or role in a work associated with the other entity.
-
E.
voiceAppearance
Indicates that one entity’s voice is present, heard, or featured in association with another entity (such as a work, scene, or medium).
- 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_69f348daf95c81908b4c985b7ddcd0b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70e854b9c8190a3416e2189e17742 |
completed | May 3, 2026, 8:59 a.m. |
Created at: April 30, 2026, 10:55 p.m.