Triple
T18039473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mimmo Rotella |
E431605
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mimmo Rotella |
—
|
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: Mimmo Rotella | Statement: [Mimmo Rotella, name, Mimmo Rotella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mimmo Rotella Context triple: [Mimmo Rotella, name, Mimmo Rotella]
-
A.
Mimmo Rotella
chosen
Mimmo Rotella was an Italian artist best known for his décollage works made from torn advertising posters, which made him a key figure in postwar European avant-garde art.
-
B.
Corrado Feroci
Corrado Feroci was an Italian-born sculptor who became a leading figure in modern Thai art and is best known for his monumental public works in Bangkok.
-
C.
Gastone Renzelli
Gastone Renzelli is an actor known for his role in the Italian film "Bellissima," a classic of postwar Italian cinema.
-
D.
Marcello Masciocchi
Marcello Masciocchi was an Italian cinematographer known for his work on numerous mid-20th-century films.
-
E.
Ennio Balbo
Ennio Balbo was an Italian actor known for his work in film and television during the mid-20th century.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4be3cbe8c8190ba216eeebfc3cbec |
completed | April 19, 2026, 11:36 a.m. |
Created at: April 10, 2026, 10:25 a.m.