Triple

T9551870
Position Surface form Disambiguated ID Type / Status
Subject Valery Gergiev E230440 entity
Predicate hasSurname P18 FINISHED
Object Gergiev E230440 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: Gergiev | Statement: [Valery Gergiev, hasSurname, Gergiev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gergiev
Context triple: [Valery Gergiev, hasSurname, Gergiev]
  • A. Gergiev chosen
    Gergiev is the surname of Valery Gergiev, a prominent Russian conductor known for leading major orchestras and opera companies worldwide.
  • B. Grigory Spiridov
    Grigory Spiridov was a prominent 18th-century Russian admiral best known for his leadership in the Russo-Turkish War, particularly at the Battle of Chesma.
  • C. Tolbukhin
    Tolbukhin is a Russian surname most notably associated with Soviet military commander Fyodor Tolbukhin, a prominent general during World War II.
  • D. Matakevich
    Matakevich is a surname most notably borne by American football linebacker and special teams standout Tyler Matakevich.
  • E. Pavel Kutakhov
    Pavel Kutakhov was a prominent Soviet military aviator and Marshal of Aviation who served as Commander-in-Chief of the Soviet Air Forces during the Cold War.
  • 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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd991f87e48190b5a5f4b3dfe7c1dd completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f60aa508190b3966f4b917c41b5 completed April 4, 2026, 11:31 p.m.
Created at: March 30, 2026, 8:02 p.m.