Triple

T2197621
Position Surface form Disambiguated ID Type / Status
Subject Stavka E50411 entity
Predicate hasMember P10 FINISHED
Object Alexander Novikov E116362 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: Alexander Novikov | Statement: [Stavka, hasMember, Alexander Novikov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexander Novikov
Context triple: [Stavka, hasMember, Alexander Novikov]
  • A. Alexander Novikov chosen
    Alexander Novikov was a prominent Soviet Air Force marshal and military commander who played a key role in organizing and leading Soviet air operations during World War II.
  • B. Alexander Kutepov
    Alexander Kutepov was a prominent Russian Imperial and White Army general who became a leading figure in the anti-Bolshevik movement during and after the Russian Civil War.
  • C. Petr Novikov
    Petr Novikov was a prominent Soviet mathematician known for his work in group theory, logic, and the solution of the word problem for groups.
  • D. Alexander Arbuzov
    Alexander Arbuzov was a prominent Russian chemist best known for discovering the Michaelis–Arbuzov reaction in organophosphorus chemistry.
  • E. Alexander Deyneka
    Alexander Deyneka was a prominent Soviet painter and graphic artist known for his dynamic depictions of industrialization, sports, and everyday Soviet life in a socialist realist style.
  • 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_69a88b044ab48190add007487680f009 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbf79f3e08190b56e9d7c0ff27237 completed March 7, 2026, 6:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69bfb6fb95008190af52d015903bca5c completed March 22, 2026, 9:31 a.m.
Created at: March 4, 2026, 7:46 p.m.