Triple
T22718371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ariodante |
E561793
|
entity |
| Predicate | voiceTypeOfCharacter Ginevra |
P149436
|
FINISHED |
| Object | soprano |
—
|
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: soprano | Statement: [Ariodante, voiceTypeOfCharacter Ginevra, soprano]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voiceTypeOfCharacter Ginevra Context triple: [Ariodante, voiceTypeOfCharacter Ginevra, soprano]
-
A.
voiceTypeForGermont
Indicates the specific vocal classification assigned to the character Germont.
-
B.
Diva
Indicates that an entity is characterized as a celebrated but temperamental performer, often demanding special treatment or attention in their professional context.
-
C.
singerForCharacter
Indicates that one entity serves as the singing voice or vocalist for a particular character.
-
D.
roleInTheVoices
Indicates that an entity has a specific role or participation in the production or performance of "The Voices."
-
E.
spokenBy
Indicates that a particular utterance, statement, or piece of speech is produced or said by a specific entity.
- 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_69e2454fc984819088213b58ee87a002 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1790fbf9c819082ba7b48801a7b39 |
completed | April 29, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69ee62c24a1c819096c410906e9b173c |
completed | April 26, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_69ee8843d3308190b6e22bb98ae5c3d8 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:19 p.m.