Triple
T34249445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Vitelloni (film score) |
E878698
|
entity |
| Predicate | countryOfOriginOfRelatedFilm |
P41843
|
FINISHED |
| Object | Italy |
—
|
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: Italy | Statement: [I Vitelloni (film score), countryOfOriginOfRelatedFilm, Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfOriginOfRelatedFilm Context triple: [I Vitelloni (film score), countryOfOriginOfRelatedFilm, Italy]
-
A.
filmCountryOfOrigin
chosen
Indicates the country where a film was originally produced or created.
-
B.
originallyProducedIn
Indicates that something was first created, manufactured, or brought into existence in a particular place or location.
-
C.
countryOfRelease
Indicates the country in which an item (such as a product, work, or media) was officially released.
-
D.
featuredInCountryOfOriginFilm
Indicates that an entity appeared as a featured element in a film produced in its country of origin.
-
E.
remakeOfCountryOfOrigin
Indicates that one work is a remake of another work that originated from a specified country.
- 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_69f349b3618481909df955b063f305b2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a013b78bde881909a082beced4e0157 |
completed | May 11, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_6a013acf45508190a999b208066072bd |
completed | May 11, 2026, 2:11 a.m. |
Created at: May 1, 2026, 1:56 a.m.