Triple

T13488474
Position Surface form Disambiguated ID Type / Status
Subject Alexander Andreyevich Baranov E318567 entity
Predicate hasPatronymic P7966 FINISHED
Object Andreyevich E561485 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: Andreyevich | Statement: [Alexander Andreyevich Baranov, hasPatronymic, Andreyevich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andreyevich
Context triple: [Alexander Andreyevich Baranov, hasPatronymic, Andreyevich]
  • A. Andreievich chosen
    Andreievich is a Russian patronymic indicating that a man is the son of someone named Andrei.
  • B. Arkadyevich
    Arkadyevich is the patronymic of Stepan Arkadyevich Oblonsky, a central socialite and bureaucratic character in Leo Tolstoy’s novel "Anna Karenina."
  • C. Anatolyevich
    Anatolyevich is a Russian patronymic given name indicating that a person is the son of someone named Anatoly.
  • D. Alexandrovich
    Alexandrovich is the Russian patronymic indicating "son of Alexander," famously used in the full name of Tsar Nicholas II of Russia.
  • E. Andrey Andreevich Andriyashev
    Andrey Andreevich Andriyashev was a prominent Russian ichthyologist known for his extensive research on deep-sea and polar fishes.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf3b9b488190bb4e11424ff599c8 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f74638e2088190a126791f60b541c7 completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:42 p.m.