Triple

T20149967
Position Surface form Disambiguated ID Type / Status
Subject Harvey Kurtzman E491409 entity
Predicate familyName P18 FINISHED
Object Kurtzman 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: Kurtzman | Statement: [Harvey Kurtzman, familyName, Kurtzman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kurtzman
Context triple: [Harvey Kurtzman, familyName, Kurtzman]
  • A. Kurtzman chosen
    Kurtzman is a surname most notably associated with individuals in American entertainment and the arts, including special effects artist and filmmaker Robert Kurtzman.
  • B. Scharrel
    Scharrel is a village in the municipality of Saterland in Lower Saxony, Germany, known for its Saterland Frisian linguistic heritage.
  • C. Gelu
    Gelu is a Romanian masculine given name, most notably borne by figures such as politician and former vice prime minister Gelu Voican Voiculescu.
  • D. Strassmann
    Strassmann is a German surname most notably associated with Fritz Strassmann, the chemist who co-discovered nuclear fission.
  • E. Margolin
    Margolin is a surname most notably associated with American actress Janet Margolin, known for her film and television roles in the 1960s and 1970s.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667a1c5848190975b17ab07251f8b completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:33 p.m.