Triple

T18964419
Position Surface form Disambiguated ID Type / Status
Subject Sergiu E463994 entity
Predicate hasVariantForm P457 FINISHED
Object Sergiej 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: Sergiej | Statement: [Sergiu, hasVariantForm, Sergiej]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sergiej
Context triple: [Sergiu, hasVariantForm, Sergiej]
  • A. Sergei chosen
    Sergei is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • B. Sergy
    Sergy is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • C. Igor Sytsevich
    Igor Sytsevich, better known as the Rhino, is a super-strong, heavily armored villain and frequent adversary of Spider-Man in Marvel Comics.
  • D. Sergey Sokolov
    Sergey Sokolov was a Soviet military leader and Marshal of the Soviet Union who served as the USSR’s Minister of Defense during the 1980s.
  • E. Sergei Smirnov
    Sergei Smirnov is a Russian mathematician known for his contributions to probability theory and mathematical physics.
  • 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d5d5365881909dcbb4988d273b24 completed April 20, 2026, 7:29 a.m.
Created at: April 10, 2026, noon