Triple

T20817157
Position Surface form Disambiguated ID Type / Status
Subject Buggsy E512470 entity
Predicate nicknameOf P744 FINISHED
Object Martin "Buggsy" Goldstein 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: Martin "Buggsy" Goldstein | Statement: [Buggsy, nicknameOf, Martin "Buggsy" Goldstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin "Buggsy" Goldstein
Context triple: [Buggsy, nicknameOf, Martin "Buggsy" Goldstein]
  • A. Martin "Buggsy" Goldstein chosen
    Martin "Buggsy" Goldstein was an American mobster and contract killer associated with New York's organized crime underworld in the early to mid-20th century.
  • B. Sammy Goldberg
    Sammy Goldberg is a fictional character from the classic American radio and television series "The Goldbergs," portrayed as the son in the Goldberg family.
  • C. Art Goldberg
    Art Goldberg was a prominent activist and organizer associated with the 1960s Free Speech Movement at the University of California, Berkeley.
  • D. Marc Goldberg
    Marc Goldberg is a film producer known for his work on various contemporary movies, including the dark comedy "The Estate" (2022).
  • E. Bobby Dorfman
    Bobby Dorfman is the idealistic young protagonist of Woody Allen's film "Café Society," who navigates love and ambition between Hollywood and New York in the 1930s.
  • 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_69e0b4cd25088190b48ca9700cd24efc completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2f429388190809dd532278fe310 completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:41 p.m.