Triple
T36922231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prix Roberto Rossellini |
E913233
|
entity |
| Predicate | namedInItalian |
P17612
|
FINISHED |
| Object | Premio Roberto Rossellini |
—
|
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: Premio Roberto Rossellini | Statement: [Prix Roberto Rossellini, namedInItalian, Premio Roberto Rossellini]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedInItalian Context triple: [Prix Roberto Rossellini, namedInItalian, Premio Roberto Rossellini]
-
A.
nameInItalian
chosen
Indicates that one entity is the Italian-language name or label used to refer to another entity.
-
B.
nameInPiedmontese
Indicates that an entity’s name is expressed in the Piedmontese language.
-
C.
designationInItaly
Indicates that an entity holds a specific official status, title, or classification within the Italian context (e.g., legal, administrative, or honorific designation in Italy).
-
D.
ItalianVersionClaimed
Indicates that an entity asserts or is reported to have an Italian-language version.
-
E.
hasAcronymInItalian
Indicates that an entity is associated with an acronym specifically in the Italian language.
- 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_69f76e885b848190bad82c87e9525486 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
Created at: May 3, 2026, 4:13 p.m.