Triple
T37358644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commendatore |
E927519
|
entity |
| Predicate | librettoCharacterCreatedBy |
P175563
|
FINISHED |
| Object | Lorenzo Da Ponte |
—
|
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: Lorenzo Da Ponte | Statement: [Commendatore, librettoCharacterCreatedBy, Lorenzo Da Ponte]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: librettoCharacterCreatedBy Context triple: [Commendatore, librettoCharacterCreatedBy, Lorenzo Da Ponte]
-
A.
creatorOfCharacter
Indicates that one entity is the originator or author who created or conceived the other entity as a character.
-
B.
librettistOfWorkFeaturingCharacter
chosen
Indicates that one entity is the librettist who wrote the libretto for a work in which the other entity appears as a character.
-
C.
portrayedCharacterCreatedBy
Indicates that the creator of the character being portrayed is associated with the portrayal, linking a performance or depiction to the person who originally created that character.
-
D.
librettoBy
Indicates that a work’s libretto (the text of an opera or similar vocal work) was written by a particular person.
-
E.
creatorOfAdaptationCharacterIn
Indicates that a person is the creator of a character that appears in a particular adaptation of a work.
- F. None of above.
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_69f76eb701788190b40824bc4594d985 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb8c38a9688190be524246f5682107 |
completed | May 6, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9c6e0481908565bd849e869b24 |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:16 p.m.