Triple
T12772145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Cenerentola |
E305270
|
entity |
| Predicate | voiceTypeOfDonRamiro |
P106821
|
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: [La Cenerentola, voiceTypeOfDonRamiro, tenor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voiceTypeOfDonRamiro Context triple: [La Cenerentola, voiceTypeOfDonRamiro, tenor]
-
A.
voiceType
Indicates the specific vocal style, quality, or role associated with an entity’s voice in a given context.
-
B.
portraysDonJuanAs
Indicates that a subject represents or depicts Don Juan in a particular manner, role, or characterization.
-
C.
SpanishVersionPerformer
Indicates that an entity performs or provides the Spanish-language version of another work or performance.
-
D.
spokenBy
Indicates that a particular utterance, statement, or piece of speech is produced or said by a specific entity.
-
E.
Félix Kir
Indicates a relationship where an entity is associated with or named after Félix Kir, typically signifying dedication, commemoration, or attribution to this person.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df5b68481908a5d40516b09be52 |
completed | April 10, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69d96409739881909174ba005a986cb5 |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d87078c819083ea724238992204 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:28 p.m.