Triple

T17270418
Position Surface form Disambiguated ID Type / Status
Subject Zubov E419241 entity
Predicate hasTransliteration P2508 FINISHED
Object Zubov E419241 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: Zubov | Statement: [Zubov, hasTransliteration, Zubov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zubov
Context triple: [Zubov, hasTransliteration, Zubov]
  • A. Zubov chosen
    Zubov is a Russian surname most notably associated with figures such as Hockey Hall of Fame defenseman Sergei Zubov.
  • B. Goryachev
    Goryachev is a Russian surname, typically the masculine form from which the feminine variant "Goryacheva" is derived.
  • C. Solovyov
    Solovyov is a Russian surname most notably associated with figures such as philosopher Vladimir Solovyov and various other prominent Russian cultural and public personalities.
  • D. Pozdnyshev
    Pozdnyshev is the tormented, jealous husband and central narrator of Leo Tolstoy’s novella "The Kreutzer Sonata," whose confession of murdering his wife drives the story’s exploration of marriage, sexuality, and morality.
  • E. Vasilevsky
    Vasilevsky is a Russian surname most prominently associated with Aleksandr Vasilevsky, a leading Soviet military commander and Marshal of the Soviet Union during World War II.
  • 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42f4917ec819096356ad2ed24d51d completed April 19, 2026, 1:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180d08c9c8190ae139cd92720028a completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:40 a.m.