Triple

T9589313
Position Surface form Disambiguated ID Type / Status
Subject Raissa Timofeyevna Epstein E231375 entity
Predicate patronymicName P7966 FINISHED
Object Timofeyevna
Timofeyevna is a Russian female patronymic derived from the given name Timofey, traditionally used as the middle name indicating "daughter of Timofey."
 E808076 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: Timofeyevna | Statement: [Raissa Timofeyevna Epstein, patronymicName, Timofeyevna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Timofeyevna
Context triple: [Raissa Timofeyevna Epstein, patronymicName, Timofeyevna]
  • A. Andreyevna
    Andreyevna is a Russian patronymic indicating that a woman is the daughter of a man named Andrey.
  • B. Iosifovna
    Iosifovna is a Russian patronymic suffix used in female names to indicate that the person's father is named Iosif (Joseph).
  • C. Kirillovna
    Kirillovna is a Russian female patronymic indicating that the bearer is the daughter of someone named Kirill.
  • D. Yefimovna
    Yefimovna is a Russian patronymic feminine middle name derived from the male given name Yefim.
  • E. Praskovya Fyodorovna
    Praskovya Fyodorovna is the self-absorbed and socially preoccupied wife of the dying judge in Leo Tolstoy’s novella "The Death of Ivan Ilyich," embodying the superficiality and moral emptiness of the society around him.
  • 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: Timofeyevna
Triple: [Raissa Timofeyevna Epstein, patronymicName, Timofeyevna]
Generated description
Timofeyevna is a Russian female patronymic derived from the given name Timofey, traditionally used as the middle name indicating "daughter of Timofey."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Timofeyevna
Target entity description: Timofeyevna is a Russian female patronymic derived from the given name Timofey, traditionally used as the middle name indicating "daughter of Timofey."
  • A. Andreyevna
    Andreyevna is a Russian patronymic indicating that a woman is the daughter of a man named Andrey.
  • B. Iosifovna
    Iosifovna is a Russian patronymic suffix used in female names to indicate that the person's father is named Iosif (Joseph).
  • C. Kirillovna
    Kirillovna is a Russian female patronymic indicating that the bearer is the daughter of someone named Kirill.
  • D. Yefimovna
    Yefimovna is a Russian patronymic feminine middle name derived from the male given name Yefim.
  • E. Praskovya Fyodorovna
    Praskovya Fyodorovna is the self-absorbed and socially preoccupied wife of the dying judge in Leo Tolstoy’s novella "The Death of Ivan Ilyich," embodying the superficiality and moral emptiness of the society around him.
  • 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_69ca8482884481908eccdfdf64d6fbf7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99f1696c8190addf1a43544f2c18 completed April 1, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69d161880adc819090a9be75ba2a1642 completed April 4, 2026, 7:07 p.m.
NEDg Description generation batch_69d161d569b88190a3d77bbe752e0c86 completed April 4, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69d162476bf481909a87057e4fd1dc11 completed April 4, 2026, 7:11 p.m.
Created at: March 30, 2026, 8:06 p.m.