Triple

T15961598
Position Surface form Disambiguated ID Type / Status
Subject Major David Kabakov E387073 entity
Predicate familyName P18 FINISHED
Object Kabakov E400475 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: Kabakov | Statement: [Major David Kabakov, familyName, Kabakov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kabakov
Context triple: [Major David Kabakov, familyName, Kabakov]
  • A. Totleben
    Totleben is a German-origin surname most notably associated with Eduard Totleben, a prominent 19th-century Russian military engineer and general.
  • B. Tartakovsky
    Tartakovsky is a surname most prominently associated with Genndy Tartakovsky, the acclaimed animator and creator of series like Dexter’s Laboratory, Samurai Jack, and Primal.
  • C. Batitsky
    Batitsky is a Russian surname most notably associated with Soviet military commander Pavel Batitsky.
  • D. Ilya Kabakov chosen
    Ilya Kabakov was a pioneering Russian-American conceptual artist best known for his large-scale, narrative-driven installations that explore Soviet life, memory, and utopian ideals.
  • E. Muratov
    Muratov is a Russian surname most prominently associated with Dmitry Muratov, the Nobel Peace Prize–winning journalist and editor-in-chief of the independent newspaper Novaya Gazeta.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15700651c819091c1cc4f60894c35 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe827d248190adbfd41f55638ebd completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.