Triple
T37059719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La straniera |
E917288
|
entity |
| Predicate | mezzoSopranoRole |
P187289
|
FINISHED |
| Object | Isoletta |
—
|
NE NERFINISHED |
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: Isoletta | Statement: [La straniera, mezzoSopranoRole, Isoletta]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mezzoSopranoRole Context triple: [La straniera, mezzoSopranoRole, Isoletta]
-
A.
hasMezzoSopranoRole
Indicates that an entity is assigned or associated with a role intended for a mezzo-soprano voice.
-
B.
sopranoRole
Indicates that an entity is a role or part in a work that is intended to be performed by a soprano voice.
-
C.
sopranoRolePerformed
Indicates that an entity has performed a role written for a soprano voice in a musical or operatic work.
-
D.
notableLyricSopranoRole
Indicates that the subject is notably recognized for performing the specified lyric soprano role.
-
E.
notableSopranoRole
Indicates that the object is a soprano role for which the subject is particularly well known or distinguished.
- 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_69f76e95fa40819091e14681087ae5e4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb34e4906c8190abb1c293fb84329a |
completed | May 6, 2026, 12:32 p.m. |
Created at: May 3, 2026, 4:14 p.m.