Triple

T7105828
Position Surface form Disambiguated ID Type / Status
Subject Anatolyevich E165579 entity
Predicate hasFemaleForm P17779 FINISHED
Object Anatolyevna
Anatolyevna is a Russian patronymic suffix used for women whose father's given name is Anatoly.
 E641997 NE FINISHED

How this triple was built (4 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: Anatolyevna | Statement: [Anatolyevich, hasFemaleForm, Anatolyevna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anatolyevna
Context triple: [Anatolyevich, hasFemaleForm, Anatolyevna]
  • A. 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.
  • B. Alekseyevna
    Alekseyevna is a Russian patronymic surname suffix meaning "daughter of Alexei," historically borne by women such as Sophia Alekseyevna of Russia.
  • C. Kirillovna
    Kirillovna is a Russian female patronymic indicating that the bearer is the daughter of someone named Kirill.
  • D. Grigoryevna
    Grigoryevna is a Russian female patronymic indicating that a person is the daughter of someone named Grigory.
  • E. Lyudmila
    Lyudmila is a common Russian female given name, notably borne by figures such as Soviet World War II sniper Lyudmila Pavlichenko.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Anatolyevna
Triple: [Anatolyevich, hasFemaleForm, Anatolyevna]
Generated description
Anatolyevna is a Russian patronymic suffix used for women whose father's given name is Anatoly.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anatolyevna
Target entity description: Anatolyevna is a Russian patronymic suffix used for women whose father's given name is Anatoly.
  • A. 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.
  • B. Alekseyevna
    Alekseyevna is a Russian patronymic surname suffix meaning "daughter of Alexei," historically borne by women such as Sophia Alekseyevna of Russia.
  • C. Kirillovna
    Kirillovna is a Russian female patronymic indicating that the bearer is the daughter of someone named Kirill.
  • D. Grigoryevna
    Grigoryevna is a Russian female patronymic indicating that a person is the daughter of someone named Grigory.
  • E. Lyudmila
    Lyudmila is a common Russian female given name, notably borne by figures such as Soviet World War II sniper Lyudmila Pavlichenko.
  • F. None of above. chosen

Provenance (5 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_69c6888120f081908f8f01b201dc4a4c completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e5b892008190827fa1e5eab2e558 completed March 27, 2026, 8:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79cb0ee3481908f2f7efb5e9d1714 completed March 28, 2026, 9:17 a.m.
NEDg Description generation batch_69c79d3feacc819097887064a7439340 completed March 28, 2026, 9:20 a.m.
NED2 Entity disambiguation (via description) batch_69c79df3f5648190981176b6c9791181 completed March 28, 2026, 9:23 a.m.
Created at: March 27, 2026, 2:42 p.m.