Triple

T23229822
Position Surface form Disambiguated ID Type / Status
Subject Viktor Kozlov E581118 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 and derived from the Latin word for "victor" or "conqueror."
 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 Kozlov, givenName, Viktor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Viktor
Context triple: [Viktor Kozlov, 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. Viktor
    Viktor is the given first name of the Russian Futurist poet and playwright Velimir Khlebnikov.
  • D. Vadim
    Vadim is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • E. Eduard
    Eduard is the given name of Eduard Tisse, a prominent Soviet cinematographer best known for his collaborations with director Sergei Eisenstein.
  • 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 Kozlov, givenName, Viktor]
Generated description
Viktor is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries and derived from the Latin word for "victor" or "conqueror."
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 and derived from the Latin word for "victor" or "conqueror."
  • 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. Viktor
    Viktor is the given first name of the Russian Futurist poet and playwright Velimir Khlebnikov.
  • D. Vadim
    Vadim is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • 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_69e246043c48819089bae72c9a9c306c completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f1923131c081909c6e84b1a0c32e0d completed April 29, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f55c95081909db75c19bc905c93 completed May 19, 2026, 10:45 a.m.
NEDg Description generation batch_6a0c4028b44c8190bde6e2c76b5f1587 completed May 19, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0c4367753c8190a4f6dbf2afd12b76 completed May 19, 2026, 11:03 a.m.
Created at: April 17, 2026, 4:09 p.m.