Triple

T19638643
Position Surface form Disambiguated ID Type / Status
Subject Viktor Vekselberg E471468 entity
Predicate givenName P17 FINISHED
Object Viktor
Viktor is a masculine given name of Slavic origin, commonly 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 Vekselberg, givenName, Viktor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Viktor
Context triple: [Viktor Vekselberg, 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 Vekselberg, givenName, Viktor]
Generated description
Viktor is a masculine given name of Slavic origin, commonly 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, commonly 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641090c408190b2adb8a6abf1b4c9 completed April 20, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a077ee4e2e08190a3f9faa22402817f completed May 15, 2026, 8:15 p.m.
NEDg Description generation batch_6a077f74e4fc81909fd1c65af64ba68f completed May 15, 2026, 8:17 p.m.
NED2 Entity disambiguation (via description) batch_6a0780e305f08190805e21212dec0b39 completed May 15, 2026, 8:24 p.m.
Created at: April 10, 2026, 1:44 p.m.