Triple
T21370969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franco Cristaldi |
E527059
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | Vides Cinematografica |
—
|
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: Vides Cinematografica | Statement: [Franco Cristaldi, founded, Vides Cinematografica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vides Cinematografica Context triple: [Franco Cristaldi, founded, Vides Cinematografica]
-
A.
Vides Cinematografica
chosen
Vides Cinematografica was an Italian film production company active in the mid-20th century, known for producing notable Italian and international cinema.
-
B.
Rafran Cinematografica
Rafran Cinematografica is an Italian film production company known for working on notable Spaghetti Westerns, including Sergio Leone’s "Duck, You Sucker!".
-
C.
Cinelou Films
Cinelou Films is an independent American film production company known for producing character-driven dramas such as the 2014 film "Cake."
-
D.
Valoria Films
Valoria Films is a film distribution company known for handling the release of various international and independent movies.
-
E.
Minerva Film
Minerva Film is an Italian film distribution and production company known for handling classic and auteur cinema releases.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0ae92c88190a3d3097f5b268a79 |
completed | April 22, 2026, 11:27 a.m. |
Created at: April 16, 2026, 5:10 p.m.