Triple
T21104153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Grimes |
E519993
|
entity |
| Predicate | mainRoleVoiceType |
P2000
|
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: [Peter Grimes, mainRoleVoiceType, tenor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainRoleVoiceType Context triple: [Peter Grimes, mainRoleVoiceType, tenor]
-
A.
roleInVox
Indicates that an entity holds a specific role or function within a Vox-related context, such as a project, system, or organization named or described as "Vox."
-
B.
roleInTheVoices
Indicates that an entity has a specific role or participation in the production or performance of "The Voices."
-
C.
speakerRole
Indicates the functional role or capacity in which an entity is acting as a speaker within a communicative event.
-
D.
voiceActingRoleIn
Indicates that an entity performs a voice acting role in a specified work or production.
-
E.
voiceType
chosen
Indicates the specific vocal style, quality, or role associated with an entity’s voice in a given context.
- 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b6050e481908a5e48b667ac1503 |
completed | April 21, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_69e5dbff56848190a03b350a9305c612 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:53 p.m.