Triple
T34792588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La bontà in trionfo |
E1002985
|
entity |
| Predicate | hasWorkAsMainTitle |
P128292
|
FINISHED |
| Object | La Cenerentola, ossia La bontà in trionfo |
—
|
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, ossia La bontà in trionfo | Statement: [La bontà in trionfo, hasWorkAsMainTitle, La Cenerentola, ossia La bontà in trionfo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorkAsMainTitle Context triple: [La bontà in trionfo, hasWorkAsMainTitle, La Cenerentola, ossia La bontà in trionfo]
-
A.
hasTitleWork
Indicates that an entity is associated with a specific work by its title (i.e., the entity has or bears that work’s title).
-
B.
hasWorkingTitle
Indicates that an entity is associated with a provisional or temporary title used during its development or production.
-
C.
hasMainWorks
chosen
Indicates that an entity possesses or is associated with one or more primary or most significant works.
-
D.
hasWorkTitleType
Indicates that an entity holds a specific category or type of work-related title (e.g., job title type or role classification).
-
E.
hasWorkTitleElement
Indicates that an entity includes a specific textual component representing a work’s title or part of a work’s title.
- 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_69fe5d58c3e48190910aa3c23485e2c4 |
completed | May 8, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69fe5c92090c8190bcfa412c0a3619df |
completed | May 8, 2026, 9:58 p.m. |
Created at: May 3, 2026, 3:59 p.m.