Triple
T34792583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La bontà in trionfo |
E1002985
|
entity |
| Predicate | describesPlotOutcomeOf |
P40708
|
FINISHED |
| Object | La Cenerentola |
—
|
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: La Cenerentola | Statement: [La bontà in trionfo, describesPlotOutcomeOf, La Cenerentola]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describesPlotOutcomeOf Context triple: [La bontà in trionfo, describesPlotOutcomeOf, La Cenerentola]
-
A.
describesOutcomeOf
Indicates that one entity specifies or characterizes the result, consequence, or outcome produced by another entity or process.
-
B.
fictionalOutcome
Indicates that an event, action, or situation leads to a result that occurs only within a fictional, imagined, or non-real context.
-
C.
outcomeOf
Indicates that one entity is the result, consequence, or product that arises from another entity, event, or process.
-
D.
characterArcOutcome
Indicates the resulting change, resolution, or final state of a character’s personal journey or development over the course of a narrative.
-
E.
narrativeConsequence
chosen
Indicates that one event, action, or state occurs as a direct result or outcome of another within a narrative sequence.
- 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_69f76db47d408190a24fc7164439ea2d |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fd37b695c88190855801626f91c4cd |
completed | May 8, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69fd374cccf08190a230e87164af5938 |
completed | May 8, 2026, 1:07 a.m. |
Created at: May 3, 2026, 3:59 p.m.