Triple
T34792582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La bontà in trionfo |
E1002985
|
entity |
| Predicate | associatedWorkMainCharacter |
—
|
GENERATED |
| Object | Cenerentola (Angelina) |
—
|
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: associatedWorkMainCharacter Context triple: [La bontà in trionfo, associatedWorkMainCharacter, Cenerentola (Angelina)]
-
A.
hasMainCharacterFrom
Indicates that a work of fiction has a main character who originates from or belongs to a specified place, group, or source.
-
B.
relatedCharacter
Indicates that one character has a specified relationship or association with another character.
-
C.
notableWorkCharacter
chosen
Indicates that a character appears in, is associated with, or plays a role in a particular notable work.
-
D.
composerOfWorkFeaturingCharacter
Indicates that one entity is the composer of a musical or dramatic work in which the other entity appears as a character.
-
E.
laterMainCharacterOf
Indicates that one entity becomes the main character of a work at a later point in time, succeeding another main character.
- 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_69f76db47d408190a24fc7164439ea2d |
completed | May 3, 2026, 3:45 p.m. |
Created at: May 3, 2026, 3:59 p.m.