Triple

T985086
Position Surface form Disambiguated ID Type / Status
Subject Pavel Chekov E21260 entity
Predicate familyName P18 FINISHED
Object Chekov E116012 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: Chekov | Statement: [Pavel Chekov, familyName, Chekov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chekov
Context triple: [Pavel Chekov, familyName, Chekov]
  • A. Anton Chekhov
    Anton Chekhov was a Russian playwright and short-story writer renowned for his innovative, psychologically nuanced works that helped shape modern drama and prose.
  • B. Pavel Andreievich Chekov chosen
    Pavel Andreievich Chekov is a fictional Russian Starfleet officer and navigator from the Star Trek franchise, serving aboard the starship USS Enterprise.
  • C. Rafail Ostrovsky
    Rafail Ostrovsky is a prominent computer scientist known for his influential contributions to cryptography, secure computation, and theoretical computer science.
  • D. Pyotr Saltykov
    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.
  • E. 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."
  • 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_69a493c383dc8190a03257f22d4b4183 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4959fe48190a78bd811cbc888ab completed March 1, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac258b55908190bc5bbf1c2756482d completed March 7, 2026, 1:18 p.m.
Created at: March 1, 2026, 7:41 p.m.