Triple

T6126831
Position Surface form Disambiguated ID Type / Status
Subject Downsizing E136614 entity
Predicate mainCharacter P1183 FINISHED
Object Paul Safranek E237093 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: Paul Safranek | Statement: [Downsizing, mainCharacter, Paul Safranek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Safranek
Context triple: [Downsizing, mainCharacter, Paul Safranek]
  • A. Martin Jurow
    Martin Jurow was an American film producer best known for his work on classic mid-20th-century Hollywood movies, including the iconic Audrey Hepburn film "Breakfast at Tiffany's."
  • B. Joseph Kopechne
    Joseph Kopechne was the father of Mary Jo Kopechne, the young political campaign worker who died in the 1969 Chappaquiddick incident involving Senator Ted Kennedy.
  • C. Albert Maltz
    Albert Maltz was an American novelist, playwright, and screenwriter, best known as one of the Hollywood Ten who was blacklisted during the McCarthy era for his alleged communist affiliations.
  • D. Victor Slezak chosen
    Victor Slezak is an American actor known for his work in film, television, and theater, including roles in dramas such as "The Bridges of Madison County."
  • E. Kurt Kasznar
    Kurt Kasznar was an Austrian-American character actor known for his prolific work in mid-20th-century film, television, and theater, often portraying urbane or authoritative supporting roles.
  • 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_69c008a0a37c81908e5b4f879158afb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c2a13a48190b80e11d58fc87c8a completed March 22, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70adafa888190be606aba83a50302 completed March 27, 2026, 10:55 p.m.
Created at: March 22, 2026, 4:15 p.m.