Triple

T18607983
Position Surface form Disambiguated ID Type / Status
Subject Ivanovna E454808 entity
Predicate writtenAs P2203 FINISHED
Object Ивановна 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: Ивановна | Statement: [Ivanovna, writtenAs, Ивановна]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ивановна
Context triple: [Ivanovna, writtenAs, Ивановна]
  • A. Ivanovna chosen
    Ivanovna is a common Russian patronymic surname suffix for women, indicating "daughter of Ivan."
  • B. Vasilyevna
    Vasilyevna is a Russian female patronymic name indicating that the person's father is named Vasily.
  • C. Iosifovna
    Iosifovna is a Russian patronymic suffix used in female names to indicate that the person's father is named Iosif (Joseph).
  • D. Maksimovna
    Maksimovna is a Russian patronymic derived from the male given name Maksim, traditionally used as a middle name indicating "daughter of Maksim."
  • E. Andreyevna
    Andreyevna is a Russian patronymic indicating that a woman is the daughter of a man named Andrey.
  • 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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54cff3be8819080ab20045bd18a4d completed April 19, 2026, 9:45 p.m.
Created at: April 10, 2026, 11:45 a.m.