Triple

T9045390
Position Surface form Disambiguated ID Type / Status
Subject Russian White House E216742 entity
Predicate architect P184 FINISHED
Object Pavel Shteller E448223 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: Pavel Shteller | Statement: [Russian White House, architect, Pavel Shteller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pavel Shteller
Context triple: [Russian White House, architect, Pavel Shteller]
  • A. Pavel Shteller chosen
    Pavel Shteller was a Soviet architect best known for designing prominent Stalin-era buildings in Moscow.
  • B. Anatoly Stessel
    Anatoly Stessel was a Russian Imperial Army general best known for his controversial leadership and surrender of Port Arthur during the Russo-Japanese War.
  • C. Vladimir Volodarsky
    Vladimir Volodarsky was a prominent Bolshevik revolutionary and Soviet political figure active during the early years of the Russian Revolution.
  • D. Vladimir Gelfreikh
    Vladimir Gelfreikh was a Soviet architect known for his prominent Stalinist-era designs and contributions to major state buildings in Moscow.
  • E. Vladimir Shklyarov
    Vladimir Shklyarov is a renowned Russian ballet dancer and principal artist celebrated for his performances with the Mariinsky Ballet.
  • 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_69ca83d22d488190adbce5e020e9cd1d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b148b188190814d64acae493634 completed April 1, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d74fa545b8819092809c605542476a completed April 9, 2026, 7:05 a.m.
Created at: March 30, 2026, 7:09 p.m.