Triple

T21212711
Position Surface form Disambiguated ID Type / Status
Subject Viktor Pelevin E522758 entity
Predicate givenName P17 FINISHED
Object Viktor
Viktor is a masculine 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 Pelevin, givenName, Viktor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Viktor
Context triple: [Viktor Pelevin, 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. Vadim
    Vadim is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • 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 the given name of Eduard Zeller, a notable 19th-century German philosopher and historian of philosophy.
  • 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 Pelevin, givenName, Viktor]
Generated description
Viktor is a masculine 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 masculine 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. Vadim
    Vadim is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • 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 the given name of Eduard Zeller, a notable 19th-century German philosopher and historian of philosophy.
  • 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_69e0b511ed84819099b449b4a111085c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7346f762c8190a9f57d9e00d94d28 completed April 21, 2026, 8:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a098febb9d4819093d8ae8296f658f9 completed May 17, 2026, 9:52 a.m.
NEDg Description generation batch_6a0991423b288190b190b1cbf2589323 completed May 17, 2026, 9:58 a.m.
NED2 Entity disambiguation (via description) batch_6a09929e2ad881908e3497f9c3f2f77c completed May 17, 2026, 10:04 a.m.
Created at: April 16, 2026, 3:38 p.m.