Triple
T34370961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guglielmo Ratcliff |
E882150
|
entity |
| Predicate | titleCharacterVoiceType |
P190102
|
FINISHED |
| Object | tenor |
—
|
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: tenor | Statement: [Guglielmo Ratcliff, titleCharacterVoiceType, tenor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleCharacterVoiceType Context triple: [Guglielmo Ratcliff, titleCharacterVoiceType, tenor]
-
A.
voiceTypeOfCharacter
chosen
Indicates the type or style of voice associated with a particular character.
-
B.
characterTypeVoiced
Indicates that one character serves as the voice actor or vocal performer for another character.
-
C.
voiceCharacter
Indicates that one entity provides the voice for, or vocally portrays, a particular character in a work.
-
D.
voiceActorCharacter
Indicates that a person serving as a voice actor provides the voice for a particular character.
-
E.
roleInTheVoices
Indicates that an entity has a specific role or participation in the production or performance of "The Voices."
- 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_69f349bf5d7481908dd5da4cbdf74047 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff397e19a88190a945b826159f5290 |
completed | May 9, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69ff392400d0819088d30d08d4a774bd |
completed | May 9, 2026, 1:39 p.m. |
Created at: May 1, 2026, 1:59 a.m.