Triple
T31908930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orfeo ed Euridice |
E814627
|
entity |
| Predicate | originalOrfeoVoiceType |
P2000
|
FINISHED |
| Object | castrato (alto) |
—
|
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: castrato (alto) | Statement: [Orfeo ed Euridice, originalOrfeoVoiceType, castrato (alto)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalOrfeoVoiceType Context triple: [Orfeo ed Euridice, originalOrfeoVoiceType, castrato (alto)]
-
A.
voiceTypeOfOroe
Indicates that an entity represents the specific type or classification of voice associated with Oroe.
-
B.
voiceType
chosen
Indicates the specific vocal style, quality, or role associated with an entity’s voice in a given context.
-
C.
voiceTypeOfDaland
Indicates the specific vocal classification or voice type assigned to the character Daland.
-
D.
voiceTypeOfOscar
Indicates the type or category of voice associated with an Oscar-related role, performance, or recognition.
-
E.
premiereVoiceType
Indicates the primary or leading vocal classification associated with a performance, role, or work.
- 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_69f348f109d88190b5005372c53d2fcd |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a013632a3048190b05716d803f34716 |
completed | May 11, 2026, 1:51 a.m. |
| PD | Predicate disambiguation | batch_6a01309582e48190a05d47d96ffb7a46 |
completed | May 11, 2026, 1:27 a.m. |
Created at: May 1, 2026, 12:01 a.m.