Triple
T11973155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sal Buscema |
E284970
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Salvatore |
E393786
|
NE FINISHED |
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: Salvatore | Statement: [Sal Buscema, givenName, Salvatore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salvatore Context triple: [Sal Buscema, givenName, Salvatore]
-
A.
Salvatore
chosen
Salvatore is the given name of Salvador Luria, the Nobel Prize–winning Italian-American microbiologist and pioneer of bacterial genetics.
-
B.
Vito
Vito is a masculine given name of Italian origin, famously borne by mob boss Vito Genovese and the fictional character Vito Corleone.
-
C.
Gennaro
Gennaro is the surname of Angie Gennaro, a fictional character from Dennis Lehane’s crime novels.
-
D.
Salvatore Naturale
Salvatore Naturale is a fictional bank robber character from the film "Dog Day Afternoon," known for being the nervous and volatile partner in the movie’s botched heist.
-
E.
Salvatore Lucania
Salvatore Lucania, better known as Lucky Luciano, was a pivotal Italian-American mobster who helped create the modern American Mafia and organized crime syndicate structure in the United States.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9039107e48190ae4c4efd6257dd3c |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4597cf818819089b0d897c236b87b |
completed | May 1, 2026, 7:42 a.m. |
Created at: April 8, 2026, 9:46 p.m.