Triple

T13054350
Position Surface form Disambiguated ID Type / Status
Subject Oskar Viktorovich Starck E327530 entity
Predicate patronymicName P7966 FINISHED
Object Viktorovich E234823 NE FINISHED

How this triple was built (2 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: Viktorovich | Statement: [Oskar Viktorovich Starck, patronymicName, Viktorovich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viktorovich
Context triple: [Oskar Viktorovich Starck, patronymicName, Viktorovich]
  • A. Viktorovich chosen
    Viktorovich is a Russian patronymic given name indicating that a person is the son of someone named Viktor.
  • B. Vladimirovich
    Vladimirovich is the Russian patronymic derived from the given name Vladimir, indicating "son of Vladimir" and used in full names such as that of Vladimir Putin.
  • C. 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."
  • D. Viktor
    Viktor is a powerful and ancient vampire elder from the "Underworld" film series, portrayed by actor Bill Nighy.
  • E. Vasilyevich
    Vasilyevich is the Russian patronymic indicating "son of Vasily," famously used in the full name of Ivan IV (Ivan Vasilyevich), the first tsar of Russia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980bb52d88190b5be12000e27a2c9 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbdead348190aa7aaa29c371d72a completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:58 p.m.