Triple

T18859846
Position Surface form Disambiguated ID Type / Status
Subject Erika Slezak E461281 entity
Predicate father P120 FINISHED
Object Walter Slezak 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: Walter Slezak | Statement: [Erika Slezak, father, Walter Slezak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walter Slezak
Context triple: [Erika Slezak, father, Walter Slezak]
  • A. Walter Slezak chosen
    Walter Slezak was an Austrian-born character actor known for his versatile roles in Hollywood films and on Broadway, often portraying charming villains or comic foils.
  • B. Victor Slezak
    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."
  • C. Walter Zagorski
    Walter Zagorski is best known as the former husband of Australian right-wing politician and One Nation party founder Pauline Hanson.
  • D. Ralph Koltai
    Ralph Koltai was a prominent British theatre designer renowned for his innovative, sculptural stage sets that transformed post-war European theatre aesthetics.
  • E. Robert Saudek
    Robert Saudek was an American television producer and innovator best known for pioneering high-quality cultural and dramatic programming during the early years of U.S. television.
  • 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c05fb800819098951ec134a1fa2a completed April 20, 2026, 5:57 a.m.
Created at: April 10, 2026, 11:57 a.m.