Triple

T11853176
Position Surface form Disambiguated ID Type / Status
Subject Maria Alexandrovna E281960 entity
Predicate patronymic P7966 FINISHED
Object Alexandrovna E154691 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: Alexandrovna | Statement: [Maria Alexandrovna, patronymic, Alexandrovna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexandrovna
Context triple: [Maria Alexandrovna, patronymic, Alexandrovna]
  • A. Alexandrovna chosen
    Alexandrovna is a Russian female patronymic indicating "daughter of Alexander," commonly used in the full names of women in Russian nobility and broader Russian culture.
  • B. Alekseyevna
    Alekseyevna is a Russian patronymic surname suffix meaning "daughter of Alexei," historically borne by women such as Sophia Alekseyevna of Russia.
  • C. Nikolaevna
    Nikolaevna is a Russian patronymic indicating "daughter of Nikolai," famously borne by Grand Duchess Anastasia Nikolaevna of Russia.
  • D. Kirillovna
    Kirillovna is a Russian female patronymic indicating that the bearer is the daughter of someone named Kirill.
  • E. Nina Alexandrovna
    Nina Alexandrovna was an actress known for her role in Sergei Eisenstein’s silent Soviet film "The General Line."
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a696ee548190800d56c64c339b10 completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281536c10819093dc1fd3203d41d8 completed April 29, 2026, 10:08 p.m.
Created at: April 8, 2026, 9:43 p.m.