Triple

T21702018
Position Surface form Disambiguated ID Type / Status
Subject Kurland Kessel E535680 entity
Predicate opponentCommander P1698 FINISHED
Object Ivan Bagramyan 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: Ivan Bagramyan | Statement: [Kurland Kessel, opponentCommander, Ivan Bagramyan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ivan Bagramyan
Context triple: [Kurland Kessel, opponentCommander, Ivan Bagramyan]
  • A. Ivan Bagramyan chosen
    Ivan Bagramyan was a prominent Soviet Armenian Marshal of the Soviet Union and World War II commander known for his leadership on the Eastern Front.
  • B. Aleksandr Adabashyan
    Aleksandr Adabashyan is a Russian actor, screenwriter, and art director known for his collaborations with director Nikita Mikhalkov in Soviet and Russian cinema.
  • C. Surikyan Arutyunyan
    Surikyan Arutyunyan is an Armenian communist politician who served as the leading official of Soviet Armenia’s ruling Communist Party.
  • D. Yuri Melikyan
    Yuri Melikyan is a Soviet-era Armenian politician who served as a leading figure in the Armenian SSR’s Communist Party leadership.
  • E. Mikhail Baghdasarov
    Mikhail Baghdasarov is an Armenian businessman best known for his role in the country’s aviation sector and ownership of the former national carrier Armavia.
  • 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.