Triple

T13376471
Position Surface form Disambiguated ID Type / Status
Subject Ivan Fedyuninsky E319198 entity
Predicate familyName P18 FINISHED
Object Fedyuninsky
Fedyuninsky is a Russian surname most notably associated with Soviet military commander Ivan Fedyuninsky.
E1036616 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: Fedyuninsky | Statement: [Ivan Fedyuninsky, familyName, Fedyuninsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fedyuninsky
Context triple: [Ivan Fedyuninsky, familyName, Fedyuninsky]
  • A. Fedoruk
    Fedoruk is a Ukrainian-origin surname borne by various notable individuals, including Canadian physicist and former Saskatchewan lieutenant governor Sylvia Fedoruk.
  • B. Chernyakhovsky
    Chernyakhovsky is a Slavic surname most notably associated with Soviet General Ivan Chernyakhovsky, a prominent commander during World War II.
  • C. Yezernitsky
    Yezernitsky is a Jewish surname most notably associated with Yitzhak Shamir, the former Prime Minister of Israel, who was born Yitzhak Yezernitsky.
  • D. Yuryatin
    Yuryatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Lara Antipova’s story.
  • E. Skopin-Shuisky
    Skopin-Shuisky was a Russian noble family name most prominently associated with Prince Mikhail Skopin-Shuisky, a celebrated military commander during Russia’s Time of Troubles.
  • 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: Fedyuninsky
Triple: [Ivan Fedyuninsky, familyName, Fedyuninsky]
Generated description
Fedyuninsky is a Russian surname most notably associated with Soviet military commander Ivan Fedyuninsky.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fedyuninsky
Target entity description: Fedyuninsky is a Russian surname most notably associated with Soviet military commander Ivan Fedyuninsky.
  • A. Fedoruk
    Fedoruk is a Ukrainian-origin surname borne by various notable individuals, including Canadian physicist and former Saskatchewan lieutenant governor Sylvia Fedoruk.
  • B. Chernyakhovsky
    Chernyakhovsky is a Slavic surname most notably associated with Soviet General Ivan Chernyakhovsky, a prominent commander during World War II.
  • C. Yezernitsky
    Yezernitsky is a Jewish surname most notably associated with Yitzhak Shamir, the former Prime Minister of Israel, who was born Yitzhak Yezernitsky.
  • D. Yuryatin
    Yuryatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Lara Antipova’s story.
  • E. Skopin-Shuisky
    Skopin-Shuisky was a Russian noble family name most prominently associated with Prince Mikhail Skopin-Shuisky, a celebrated military commander during Russia’s Time of Troubles.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce3fec48190a5443d87c85477a3 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72684f3408190952d2619b6b8d241 completed May 3, 2026, 10:42 a.m.
NEDg Description generation batch_69f726f3f9cc8190a10f6a355a27b0fa completed May 3, 2026, 10:44 a.m.
NED2 Entity disambiguation (via description) batch_69f7276b0f148190a0a6ec1b6637b6aa completed May 3, 2026, 10:46 a.m.
Created at: April 9, 2026, 9:33 p.m.