Triple

T21701727
Position Surface form Disambiguated ID Type / Status
Subject Jevel Demikovsky E535673 entity
Predicate name P16 FINISHED
Object Jevel Demikovsky NE NERFINISHED

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: Jevel Demikovsky | Statement: [Jevel Demikovsky, name, Jevel Demikovsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jevel Demikovsky
Context triple: [Jevel Demikovsky, name, Jevel Demikovsky]
  • A. Jevel Demikovsky chosen
    Jevel Demikovsky, better known as Jules Olitski, was a prominent Russian-American abstract painter associated with Color Field painting and the post-painterly abstraction movement.
  • B. Alexander Dvornikov
    Alexander Dvornikov is a Russian Army general known for his senior command roles in Russia’s military operations in Syria and Ukraine.
  • C. Vladimir Markov
    Vladimir Markov was a Russian mathematician, best known for his work in approximation theory and as the younger brother of Andrey Markov.
  • D. Ivan Mayski
    Ivan Mayski was a Soviet diplomat best known for serving as the USSR’s ambassador to the United Kingdom during the Second World War.
  • E. Pavel Kadochnikov
    Pavel Kadochnikov was a prominent Soviet film and theater actor known for his leading roles in classic Russian cinema of the mid-20th century.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46b44c0819088ab883ebd44e0e8 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef9b802e008190a68ec62b98512794 completed April 27, 2026, 5:23 p.m.
Created at: April 16, 2026, 6:45 p.m.