Triple
T38599455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiordiligi |
E934168
|
entity |
| Predicate | operaLibrettoBy |
—
|
GENERATED |
| Object | Lorenzo Da Ponte |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operaLibrettoBy Context triple: [Fiordiligi, operaLibrettoBy, Lorenzo Da Ponte]
-
A.
librettoBy
Indicates that a work’s libretto (the text of an opera or similar vocal work) was written by a particular person.
-
B.
librettistOfOpera
chosen
Indicates that one entity is the librettist who wrote the text (libretto) for the specified opera.
-
C.
inOperaRepertoire
Indicates that a musical work is included as part of the standard or active repertoire performed in opera productions.
-
D.
appearsInWorkWithLibrettoBy
Indicates that an entity appears in a creative work whose libretto was written by a specified author.
-
E.
operaLibrettistOfAdaptation
Indicates that one entity is the librettist who wrote the text for an operatic adaptation of another work.
- F. None of above.
Provenance (1 batch)
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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:32 p.m.