Triple

T5158045
Position Surface form Disambiguated ID Type / Status
Subject Alexander Novikov E116362 entity
Predicate patronymicName P7966 FINISHED
Object Alexandrovich E42868 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: Alexandrovich | Statement: [Alexander Novikov, patronymicName, Alexandrovich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexandrovich
Context triple: [Alexander Novikov, patronymicName, Alexandrovich]
  • A. Alexandrovich chosen
    Alexandrovich is the Russian patronymic indicating "son of Alexander," famously used in the full name of Tsar Nicholas II of Russia.
  • B. Alekseevich
    Alekseevich is a Russian patronymic surname or middle name derived from the given name Aleksey, indicating "son of Aleksey."
  • C. Arkadyevich
    Arkadyevich is the patronymic of Stepan Arkadyevich Oblonsky, a central socialite and bureaucratic character in Leo Tolstoy’s novel "Anna Karenina."
  • D. Anatolyevich
    Anatolyevich is a Russian patronymic given name indicating that a person is the son of someone named Anatoly.
  • E. Viktorovich
    Viktorovich is a Russian patronymic given name indicating that a person is the son of someone named Viktor.
  • 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_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7904457c819090f382029ebb2b43 completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed927ad5481909907c8a1764e9fd8 completed March 21, 2026, 5:45 p.m.
Created at: March 20, 2026, 1:44 p.m.