Triple

T2923115
Position Surface form Disambiguated ID Type / Status
Subject Pyotr Saltykov E78777 entity
Predicate familyName P18 FINISHED
Object Saltykov E78777 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: Saltykov | Statement: [Pyotr Saltykov, familyName, Saltykov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saltykov
Context triple: [Pyotr Saltykov, familyName, Saltykov]
  • A. Pyotr Saltykov chosen
    Pyotr Saltykov was an 18th-century Russian field marshal best known for leading Russian forces to a decisive victory over Prussia during the Seven Years' War.
  • B. Dr. Gogol
    Dr. Gogol is the obsessive, deranged surgeon and main antagonist in the 1935 horror film "Mad Love," known for his macabre experiments and fixation on a famous actress.
  • C. Nikolai Gogol
    Nikolai Gogol was a 19th-century Russian-language writer of Ukrainian origin, renowned for his influential satirical and surreal works such as "Dead Souls" and "The Overcoat."
  • D. Ivan Yefimovich Petrov
    Ivan Yefimovich Petrov was a Soviet military commander and general noted for his leadership of Red Army forces on the Eastern Front during World War II.
  • E. Mikhail Bulgakov
    Mikhail Bulgakov was a Russian writer and playwright best known for his satirical and fantastical novel "The Master and Margarita."
  • 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_69ad8b0c2ad081909ff87050ae542bb9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad97bd65ac81909a05ea2bade113d0 completed March 8, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b056375b5c819081c7d4fd506cbf25 completed March 10, 2026, 5:34 p.m.
Created at: March 8, 2026, 2:55 p.m.