Triple

T5063826
Position Surface form Disambiguated ID Type / Status
Subject Vyacheslav Kozlov E114093 entity
Predicate familyName P18 FINISHED
Object Kozlov E446261 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: Kozlov | Statement: [Vyacheslav Kozlov, familyName, Kozlov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kozlov
Context triple: [Vyacheslav Kozlov, familyName, Kozlov]
  • A. Kozlov
    Kozlov is the former Russian name of the city now known as Gözleve (Eupatoria) in Crimea, reflecting its historical period under Russian influence.
  • B. Kozlov chosen
    Kozlov is a historic Russian town, now known as Michurinsk, that developed as a significant regional center of trade and agriculture.
  • C. Lukyanov
    Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
  • D. Vyazemsky
    Vyazemsky is a small town in Russia’s Far Eastern Federal District, serving as an administrative center within Khabarovsk Krai.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd747756bc8190863c426e6fd6e8f7 completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea497fed0819098746fd8917f041c completed March 21, 2026, 2 p.m.
Created at: March 20, 2026, 1:38 p.m.