Triple

T13071150
Position Surface form Disambiguated ID Type / Status
Subject Hurwitz E329458 entity
Predicate variantOf P4680 FINISHED
Object Gurvitz E1017435 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: Gurvitz | Statement: [Hurwitz, variantOf, Gurvitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gurvitz
Context triple: [Hurwitz, variantOf, Gurvitz]
  • A. Gurevich chosen
    Gurevich is a Russian and Jewish surname borne by various notable figures in fields such as aviation, mathematics, and the arts.
  • B. Gorsky
    Gorsky is a Russian surname most notably associated with Alexander Gorsky, an influential early 20th-century ballet master and choreographer of the Bolshoi Theatre.
  • C. Grosholtz
    Grosholtz is the original family surname of famed wax sculptor Marie Tussaud, used before she became widely known under her married name.
  • D. Levshitz
    Levshitz is an alternative transliteration of the Russian surname Lifshitz, commonly associated with several notable scientists and intellectuals.
  • E. Reznik
    Reznik is a surname of likely Eastern European origin, often associated with Jewish and Slavic families and appearing in various transliterated forms such as Resnick.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980ee6130819095d835e7ff6a8c5b completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d60510dc81909e0cba8b63a50d9c completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 9 p.m.