Triple

T17419266
Position Surface form Disambiguated ID Type / Status
Subject Alekseyevna E423567 entity
Predicate transliterationVariant P5923 FINISHED
Object Alekseevna NE NERFINISHED

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: Alekseevna | Statement: [Alekseyevna, transliterationVariant, Alekseevna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alekseevna
Context triple: [Alekseyevna, transliterationVariant, Alekseevna]
  • A. Alekseyevna chosen
    Alekseyevna is a Russian patronymic surname suffix meaning "daughter of Alexei," historically borne by women such as Sophia Alekseyevna of Russia.
  • B. Kirillovna
    Kirillovna is a Russian female patronymic indicating that the bearer is the daughter of someone named Kirill.
  • C. Mikhailovna
    Mikhailovna is a Russian patronymic indicating descent from a father named Mikhail, commonly used as the middle name in female full names.
  • D. Alexandrovna
    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.
  • E. Vasilyevna
    Vasilyevna is a Russian female patronymic name indicating that the person's father is named Vasily.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44236419c8190a106748bca6f30cd completed April 19, 2026, 2:47 a.m.
Created at: April 10, 2026, 5:46 a.m.