Triple
T20870105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mario Girotti Hill |
E513865
|
entity |
| Predicate | hasNotableWork |
P4
|
FINISHED |
| Object | Don Matteo |
—
|
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: Don Matteo | Statement: [Mario Girotti Hill, hasNotableWork, Don Matteo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Matteo Context triple: [Mario Girotti Hill, hasNotableWork, Don Matteo]
-
A.
Don Matteo
chosen
Don Matteo is an Italian television series about a wise and compassionate Catholic priest who helps solve crimes in his small town, portrayed by actor Terence Hill.
-
B.
Dominick Pangallo
Dominick Pangallo is an American politician serving as the mayor of Salem, Massachusetts.
-
C.
Angelo Lonardo
Angelo Lonardo was a prominent American mobster who rose to become a powerful leader in the Cleveland crime family before later turning government witness.
-
D.
Dominick Napolitano
Dominick Napolitano was a Brooklyn-based caporegime in the Bonanno crime family, known for his role in the Donnie Brasco undercover FBI operation.
-
E.
Vincent Savino
Vincent Savino is a film producer known for his work on the critically acclaimed drama "Certain Women."
- 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_69e0b4f675cc8190b4e745225b62eb66 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c4637ec48190830023d20fb8124c |
completed | April 21, 2026, 12:27 a.m. |
Created at: April 16, 2026, 12:45 p.m.