Triple
T28332349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Semiramide |
E717568
|
entity |
| Predicate | voiceTypeOfSemiramide |
P166216
|
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: [Semiramide, voiceTypeOfSemiramide, soprano]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voiceTypeOfSemiramide Context triple: [Semiramide, voiceTypeOfSemiramide, soprano]
-
A.
voiceTypeOfZurga
Indicates that the subject has the same vocal classification or voice type as the character Zurga.
-
B.
voiceTypeOfUlrica
Indicates that the specified voice type is the vocal classification associated with the character Ulrica.
-
C.
voiceTypeOfAmelia
Indicates the specific type or characteristic of voice associated with Amelia.
-
D.
voiceTypeOfCharacter Dalinda
Indicates the specific vocal quality or style associated with the character Dalinda.
-
E.
Diva
Indicates that an entity is characterized as a celebrated but temperamental performer, often demanding special treatment or attention in their professional context.
- 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_69eff6e9a57c8190a69c2c74b5d72119 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f66003a3f48190a2ba6da5aafbb5cb |
completed | May 2, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65f75ac608190a62cd6afce14f68e |
completed | May 2, 2026, 8:32 p.m. |
Created at: April 28, 2026, 12:33 a.m.