Triple

T10108161
Position Surface form Disambiguated ID Type / Status
Subject Korney Chukovsky E218175 entity
Predicate givenName P17 FINISHED
Object Korney E218175 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: Korney | Statement: [Korney Chukovsky, givenName, Korney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Korney
Context triple: [Korney Chukovsky, givenName, Korney]
  • A. Korney Chukovsky chosen
    Korney Chukovsky was a prominent Soviet and Russian writer, translator, and literary critic best known for his classic children's poetry and fairy tales.
  • B. Krustofsky
    Krustofsky is the surname of Krusty the Clown, the long-suffering, chain-smoking television clown from the animated series "The Simpsons."
  • C. Ossip
    Ossip is a masculine given name of Slavic origin, notably borne by pianist and conductor Ossip Gabrilowitsch.
  • D. Zhores
    Zhores is a given name most notably borne by Nobel Prize–winning physicist Zhores Alferov.
  • E. Mikhail Zoshchenko
    Mikhail Zoshchenko was a Soviet satirical writer known for his humorous, colloquial short stories that sharply critiqued everyday life under early Soviet rule.
  • 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_69ca83da93fc8190b54e44bc2b34857c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd0cbd8a48190b2af6177d1249f58 completed April 2, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc0f48808190855a7f8e839ccdae completed April 5, 2026, 8:54 p.m.
Created at: March 30, 2026, 9:03 p.m.