Triple
T19412164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bufalino crime family |
E485612
|
entity |
| Predicate | boss |
P40430
|
FINISHED |
| Object | Santo Volpe |
—
|
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: Santo Volpe | Statement: [Bufalino crime family, boss, Santo Volpe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santo Volpe Context triple: [Bufalino crime family, boss, Santo Volpe]
-
A.
Santo Volpe
chosen
Santo Volpe was an early 20th-century Italian-American mob boss who helped establish organized crime operations in northeastern Pennsylvania.
-
B.
Baldovino
Baldovino is an Italian given name, historically used in medieval Europe and related to the name Baldwin.
-
C.
Serafino
Serafino is a 1968 Italian comedy film starring Adriano Celentano as a carefree shepherd whose unexpected inheritance upends his rural life.
-
D.
Fra Brugata
"Fra Brugata" is a painting by Norwegian artist Anders Castus Svarstad, known for its depiction of urban street life in early 20th-century Oslo.
-
E.
Coluccio
Coluccio is an Italian masculine given name most notably borne by the early Renaissance humanist and chancellor Coluccio Salutati.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62af681288190ba2ec52d5adb6a22 |
completed | April 20, 2026, 1:32 p.m. |
Created at: April 10, 2026, 1:37 p.m.