Triple
T17595496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fortunata |
E428558
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Domenico Procacci |
—
|
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: Domenico Procacci | Statement: [Fortunata, producer, Domenico Procacci]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Domenico Procacci Context triple: [Fortunata, producer, Domenico Procacci]
-
A.
Domenico Procacci
chosen
Domenico Procacci is an Italian film producer and founder of the production company Fandango, known for supporting acclaimed contemporary Italian and international cinema.
-
B.
Iacopo Cassetti
Iacopo Cassetti was an Italian cleric and librettist best known for writing the Latin text of Antonio Vivaldi’s oratorio "Juditha triumphans."
-
C.
Francesco Jovino
Francesco Jovino is an Italian drummer best known for his work with the hard rock band Hardline and other melodic metal acts.
-
D.
Paolo Buonvino
Paolo Buonvino is an Italian composer best known for his film and television scores, particularly in contemporary Italian cinema and crime dramas.
-
E.
Antonio Quercia
Antonio Quercia is a Chilean cinematographer known for his work on genre films, including Eli Roth’s horror movie "The Green Inferno."
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469ead59c8190a06519311891af3c |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 5:51 a.m.