Triple

T15480983
Position Surface form Disambiguated ID Type / Status
Subject Frank Nitto E376915 entity
Predicate name P16 FINISHED
Object Frank Nitto E376915 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: Frank Nitto | Statement: [Frank Nitto, name, Frank Nitto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Nitto
Context triple: [Frank Nitto, name, Frank Nitto]
  • A. Frank Nitto chosen
    Frank Nitto was an American mobster who became a leading figure in Al Capone’s Chicago Outfit during the Prohibition era.
  • B. Frank Santillo
    Frank Santillo was an American film editor known for his work on numerous Hollywood productions, including classic Westerns.
  • C. Frank Tagliano
    Frank Tagliano is the fictional New York mobster-turned-relocated witness protection figure portrayed by Steven Van Zandt in the Norwegian-American TV series "Lilyhammer."
  • D. Frank Zito
    Frank Zito is a disturbed, psychopathic serial killer who obsessively stalks and murders women in the horror film "Maniac."
  • E. Anthony Maraschi
    Anthony Maraschi was a 19th-century Italian Jesuit priest who played a key role in establishing Catholic education in California, most notably by founding the institution that became the University of San Francisco.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8cb4388190a3b4c92c3bb4ad4f completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff365b3980819094d3ca0b7766009c completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 3:34 a.m.