Triple

T13703608
Position Surface form Disambiguated ID Type / Status
Subject Mikhail Alexandrovich Romanov E328579 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: [Mikhail Alexandrovich Romanov, patronymicName, Alexandrovich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexandrovich
Context triple: [Mikhail Alexandrovich Romanov, 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. Andreievich
    Andreievich is a Russian patronymic indicating that a man is the son of someone named Andrei.
  • E. Anatolyevich
    Anatolyevich is a Russian patronymic given name indicating that a person is the son of someone named Anatoly.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dcad162158819089280ee1e6b5c2cf completed April 13, 2026, 8:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79459192c81908132ad9813d69125 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:54 p.m.