Triple
T34792582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La bontà in trionfo |
E1002985
|
entity |
| Predicate | associatedWorkMainCharacter |
P64828
|
FINISHED |
| Object | Cenerentola (Angelina) |
E999130
|
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: Cenerentola (Angelina) | Statement: [La bontà in trionfo, associatedWorkMainCharacter, Cenerentola (Angelina)]
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 (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_69f76db47d408190a24fc7164439ea2d |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37664ba7e48190b6a521e38ee28b3e |
completed | June 21, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 3:59 p.m.