Triple

T21275644
Position Surface form Disambiguated ID Type / Status
Subject Joe Bonanno E524380 entity
Predicate familyName P18 FINISHED
Object Bonanno 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: Bonanno | Statement: [Joe Bonanno, familyName, Bonanno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bonanno
Context triple: [Joe Bonanno, familyName, Bonanno]
  • A. Bonanno chosen
    Bonanno is an Italian surname most famously associated with Joseph Bonanno, a prominent boss of one of New York City's Five Families in the American Mafia.
  • B. Massignano
    Massignano is a small Italian municipality in the Marche region, known for its historic hilltop setting and traditional rural character.
  • C. Barrese
    Barrese is a surname most notably associated with American actress and former professional poker player Sasha Barrese.
  • D. Galluzzo
    Galluzzo is a suburban district in the southern part of Florence, Italy, known for its residential character and proximity to historic sites such as the Certosa di Firenze.
  • E. Petrosino
    Petrosino is a small coastal town and comune in western Sicily, Italy, known for its agricultural production and seaside location near Marsala.
  • 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_69e0b516293c819089458ea2ec85f85e completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736577fd48190a0038a6ac5678668 completed April 21, 2026, 8:33 a.m.
Created at: April 16, 2026, 4:02 p.m.