Triple

T14429597
Position Surface form Disambiguated ID Type / Status
Subject Fyodorov E357786 entity
Predicate hasFeminineForm P1613 FINISHED
Object Fyodorova E923791 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: Fyodorova | Statement: [Fyodorov, hasFeminineForm, Fyodorova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fyodorova
Context triple: [Fyodorov, hasFeminineForm, Fyodorova]
  • A. Fyodorovna chosen
    Fyodorovna is a Russian patronymic name indicating that a woman is the daughter of someone named Fyodor.
  • B. Vasilyeva
    Vasilyeva is a common Russian surname, typically the feminine form of Vasilyev, derived from the given name Vasily.
  • C. Lukyanova
    Lukyanova is a Russian feminine surname derived from the masculine form Lukyanov.
  • D. Iosifovna
    Iosifovna is a Russian patronymic suffix used in female names to indicate that the person's father is named Iosif (Joseph).
  • E. Tikhonova
    Tikhonova is a Russian surname most prominently associated with Katerina Tikhonova, a public figure widely reported to be one of Vladimir Putin’s daughters.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91154de881909266ae88d1545685 completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bd1c4d0819085edb9ed22128b68 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:18 a.m.