Triple
T12199078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Un ballo in maschera |
E290664
|
entity |
| Predicate | hasCharacterVoiceType |
P2000
|
FINISHED |
| Object | Riccardo – tenor |
E273497
|
NE 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: Riccardo – tenor | Statement: [Un ballo in maschera, hasCharacterVoiceType, Riccardo – tenor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Riccardo – tenor Context triple: [Un ballo in maschera, hasCharacterVoiceType, Riccardo – tenor]
-
A.
Juan Diego Flórez
Juan Diego Flórez is a renowned Peruvian operatic tenor celebrated for his virtuosic bel canto roles and performances on leading international opera stages.
-
B.
Riccardo
chosen
Riccardo is an Italian given name, equivalent to Richard in English.
-
C.
Riccardo Silvestri
Riccardo Silvestri is an individual notable enough to be recognized as a prominent bearer of the Italian surname Silvestri.
-
D.
Roberto Alagna
Roberto Alagna is a renowned French-Italian operatic tenor celebrated for his passionate performances in major opera houses worldwide.
-
E.
Jonas Kaufmann
Jonas Kaufmann is a renowned German operatic tenor celebrated for his powerful, expressive voice and leading performances in major opera houses worldwide.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c79f6cc8190ae8163d2016078c0 |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a933fc481909f9e062365bf05fc |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:50 p.m.