Triple

T10141338
Position Surface form Disambiguated ID Type / Status
Subject Viktor Abakumov E231590 entity
Predicate givenName P17 FINISHED
Object Viktor
Viktor is a common male given name of Slavic origin, widely used in Russia and other Eastern European countries.
 E75938 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: Viktor | Statement: [Viktor Abakumov, givenName, Viktor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Viktor
Context triple: [Viktor Abakumov, givenName, Viktor]
  • A. Viktor
    Viktor is the given name of Viktor Frankl, the Austrian neurologist, psychiatrist, and Holocaust survivor who founded logotherapy and wrote "Man’s Search for Meaning."
  • B. Viktor
    Viktor is a powerful and ancient vampire elder from the "Underworld" film series, portrayed by actor Bill Nighy.
  • C. Eduard
    Eduard is the given name of Eduard Bernstein, a prominent German social democratic theorist and politician associated with revisionist Marxism.
  • D. Eduard
    Eduard is the given name of Eduard Tisse, a prominent Soviet cinematographer best known for his collaborations with director Sergei Eisenstein.
  • E. Eduard
    Eduard is a masculine given name of German origin, commonly used in various 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: Viktor
Triple: [Viktor Abakumov, givenName, Viktor]
Generated description
Viktor is a common male given name of Slavic origin, widely used in Russia and other Eastern European countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Viktor
Target entity description: Viktor is a common male given name of Slavic origin, widely used in Russia and other Eastern European countries.
  • A. Viktor chosen
    Viktor is the given name of Viktor Frankl, the Austrian neurologist, psychiatrist, and Holocaust survivor who founded logotherapy and wrote "Man’s Search for Meaning."
  • B. Viktor
    Viktor is a powerful and ancient vampire elder from the "Underworld" film series, portrayed by actor Bill Nighy.
  • C. Eduard
    Eduard is the given name of Eduard Bernstein, a prominent German social democratic theorist and politician associated with revisionist Marxism.
  • D. Eduard
    Eduard is the given name of Eduard Tisse, a prominent Soviet cinematographer best known for his collaborations with director Sergei Eisenstein.
  • E. Eduard
    Eduard is a masculine given name of German origin, commonly used in various European countries.
  • F. None of above.

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_69ca848364f881908a24366a6feec1db completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdeb2599e0819090184631e481310c completed April 2, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9333d2e708190b0c8ec679bcb6ade completed April 10, 2026, 5:28 p.m.
NEDg Description generation batch_69d938c697f481908a93296ee7f82eae completed April 10, 2026, 5:52 p.m.
NED2 Entity disambiguation (via description) batch_69d940176c988190b7583ce9f2c21898 completed April 10, 2026, 6:23 p.m.
Created at: March 30, 2026, 9:07 p.m.