Triple

T11389685
Position Surface form Disambiguated ID Type / Status
Subject Sal Bando E269801 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 Bando, givenName, Salvatore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salvatore
Context triple: [Sal Bando, 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d800160a1c81909d115bf89fe54a49 completed April 9, 2026, 7:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b813cfc48190a10d9b78953112ae completed April 20, 2026, 5:22 a.m.
Created at: April 8, 2026, 9:34 p.m.