Triple
T38599455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiordiligi |
E934168
|
entity |
| Predicate | operaLibrettoBy |
P134607
|
FINISHED |
| Object | Lorenzo Da Ponte |
E927515
|
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: Lorenzo Da Ponte | Statement: [Fiordiligi, operaLibrettoBy, Lorenzo Da Ponte]
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 (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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a421bd6ad4c8190861d461a05f1b171 |
completed | June 29, 2026, 7:16 a.m. |
| PD | Predicate disambiguation | batch_6a037a2026248190b894436a578d79ac |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:32 p.m.