Triple

T14762272
Position Surface form Disambiguated ID Type / Status
Subject Salvatore Esposito E346895 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: [Salvatore Esposito, givenName, Salvatore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salvatore
Context triple: [Salvatore Esposito, 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. Gennaro
    Gennaro is an Italian masculine given name, traditionally common in southern Italy and associated with Saint Januarius, the patron saint of Naples.
  • E. 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.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f207dc819088a53f717736a121 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cf24c0081909221cb7d761e882f completed May 8, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:30 a.m.