Triple

T6092942
Position Surface form Disambiguated ID Type / Status
Subject Sylvia Fedoruk E135810 entity
Predicate familyName P18 FINISHED
Object Fedoruk
Fedoruk is a Ukrainian-origin surname borne by various notable individuals, including Canadian physicist and former Saskatchewan lieutenant governor Sylvia Fedoruk.
 E572110 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: Fedoruk | Statement: [Sylvia Fedoruk, familyName, Fedoruk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fedoruk
Context triple: [Sylvia Fedoruk, familyName, Fedoruk]
  • A. Turchynov
    Turchynov is a Ukrainian politician and former acting president of Ukraine known for his roles in the country’s post-2014 political transition.
  • B. Volfovich
    Volfovich is the patronymic derived from the given name of Vladimir Zhirinovsky’s father, used as part of the Russian politician’s full name.
  • C. Vasilevsky
    Vasilevsky is a Russian surname most prominently associated with Aleksandr Vasilevsky, a leading Soviet military commander and Marshal of the Soviet Union during World War II.
  • D. Fyodorov
    Fyodorov is a Russian surname borne by numerous notable figures in fields such as sports, science, and the arts.
  • E. Vadym
    Vadym is a masculine given name of Slavic origin, commonly used in Ukraine and other Eastern European countries.
  • 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: Fedoruk
Triple: [Sylvia Fedoruk, familyName, Fedoruk]
Generated description
Fedoruk is a Ukrainian-origin surname borne by various notable individuals, including Canadian physicist and former Saskatchewan lieutenant governor Sylvia Fedoruk.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fedoruk
Target entity description: Fedoruk is a Ukrainian-origin surname borne by various notable individuals, including Canadian physicist and former Saskatchewan lieutenant governor Sylvia Fedoruk.
  • A. Turchynov
    Turchynov is a Ukrainian politician and former acting president of Ukraine known for his roles in the country’s post-2014 political transition.
  • B. Volfovich
    Volfovich is the patronymic derived from the given name of Vladimir Zhirinovsky’s father, used as part of the Russian politician’s full name.
  • C. Vasilevsky
    Vasilevsky is a Russian surname most prominently associated with Aleksandr Vasilevsky, a leading Soviet military commander and Marshal of the Soviet Union during World War II.
  • D. Fyodorov
    Fyodorov is a Russian surname borne by numerous notable figures in fields such as sports, science, and the arts.
  • E. Vadym
    Vadym is a masculine given name of Slavic origin, commonly used in Ukraine and other Eastern European countries.
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c057ac8c7481909fb22cf157be45ce completed March 22, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135879c988190bd35fa01674d6a15 completed March 23, 2026, 12:43 p.m.
NEDg Description generation batch_69c139e500c8819092834f51f3ea3ebc completed March 23, 2026, 1:02 p.m.
NED2 Entity disambiguation (via description) batch_69c13a4fa888819088a4174486427777 completed March 23, 2026, 1:04 p.m.
Created at: March 22, 2026, 4:12 p.m.