Triple

T15334978
Position Surface form Disambiguated ID Type / Status
Subject Fyodor Dan E366640 entity
Predicate alsoKnownAs P39 FINISHED
Object Fedor Dan E366640 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: Fedor Dan | Statement: [Fyodor Dan, alsoKnownAs, Fedor Dan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fedor Dan
Context triple: [Fyodor Dan, alsoKnownAs, Fedor Dan]
  • A. Fyodor Dan chosen
    Fyodor Dan was a prominent Russian socialist politician and leader of the Menshevik faction who played a key role in pre- and post-revolutionary Russian politics.
  • B. Pyotr Bark
    Pyotr Bark was a Russian statesman and financier who served as the last Minister of Finance of the Russian Empire before the 1917 revolution.
  • C. Nikolai Feklenko
    Nikolai Feklenko was a Soviet military commander who held senior leadership roles in the Red Army, including command of major field formations during the early Soviet period.
  • D. Ivan Dubasov
    Ivan Dubasov was a Soviet graphic artist and designer best known for creating key state symbols and banknote designs of the USSR.
  • E. Nikolai Yershov
    Nikolai Yershov was a Russian individual notable enough to be commemorated with a grave in Arsk Cemetery in Kazan, Russia.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e03c5f081908e4d14dbdbc7f7a6 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb7921208190bbf4e1a01c6ec5ee completed May 10, 2026, 2:20 a.m.
Created at: April 10, 2026, 3:17 a.m.