Triple
T23057224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carolina Crescentini |
E574190
|
entity |
| Predicate | hasWorkedWith |
P9615
|
FINISHED |
| Object | Silvio Muccino |
—
|
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: Silvio Muccino | Statement: [Carolina Crescentini, hasWorkedWith, Silvio Muccino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silvio Muccino Context triple: [Carolina Crescentini, hasWorkedWith, Silvio Muccino]
-
A.
Silvio Muccino
chosen
Silvio Muccino is an Italian actor, screenwriter, and film director known for his roles in contemporary Italian cinema and for later transitioning behind the camera.
-
B.
Gabriele Muccino
Gabriele Muccino is an Italian film director known internationally for his emotionally driven dramas, including collaborations with Will Smith.
-
C.
Alessandro Mazzucchetti
Alessandro Mazzucchetti was a 19th-century Italian architect known for designing major public buildings, including prominent railway stations.
-
D.
Lorenzo Marinelli
Lorenzo Marinelli is an editor known for his work on the film "The Changeling."
-
E.
Riccardo Garrone
Riccardo Garrone was an Italian film and television actor known for his prolific character roles in mid-20th-century Italian cinema.
- 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_69e245ba7ae48190be606dbc54120e39 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18681bec48190a8226b3d89d19b9f |
completed | April 29, 2026, 4:18 a.m. |
Created at: April 17, 2026, 3:55 p.m.