Triple

T23080489
Position Surface form Disambiguated ID Type / Status
Subject Lipschitz E575454 entity
Predicate hasVariant P455 FINISHED
Object Lipschutz 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: Lipschutz | Statement: [Lipschitz, hasVariant, Lipschutz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lipschutz
Context triple: [Lipschitz, hasVariant, Lipschutz]
  • A. Lipschultz
    Lipschultz is a recurring teacher character on the television drama "Boston Public," known for his old-fashioned views and frequent clashes with students and staff.
  • B. Levshitz
    Levshitz is an alternative transliteration of the Russian surname Lifshitz, commonly associated with several notable scientists and intellectuals.
  • C. Lipsitz chosen
    Lipsitz is a variant spelling of the Jewish surname Lifshitz, which has Ashkenazi origins.
  • D. Hillkowitz
    Hillkowitz is a Jewish surname most notably associated with individuals such as Moses Hillkowitz.
  • E. Herskovitz
    Herskovitz is the surname of American television and film producer, director, and screenwriter Marshall Herskovitz, known for works like "thirtysomething" and "The Last Samurai."
  • 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_69e245be28d48190ad1348d5a73db37d completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c66a80481909ebc2ba69f1e4bd9 completed April 29, 2026, 4:43 a.m.
Created at: April 17, 2026, 3:56 p.m.