Triple

T9252319
Position Surface form Disambiguated ID Type / Status
Subject Vladimir Nemirovich-Danchenko E222353 entity
Predicate notableStudent P4838 FINISHED
Object Olga Knipper E757562 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: Olga Knipper | Statement: [Vladimir Nemirovich-Danchenko, notableStudent, Olga Knipper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olga Knipper
Context triple: [Vladimir Nemirovich-Danchenko, notableStudent, Olga Knipper]
  • A. Olga Knipper chosen
    Olga Knipper was a prominent Russian stage actress and founding member of the Moscow Art Theatre, renowned for her performances in Anton Chekhov’s plays and as his wife.
  • B. Olga Peters
    Olga Peters is the American-born daughter of Svetlana Alliluyeva, who was the only daughter of Soviet leader Joseph Stalin.
  • C. Olga Loyev
    Olga Loyev is a person whose specific public background or notable achievements are not clearly documented in widely available sources.
  • D. Olga Loyev
    Olga Loyev was the wife of the famed Yiddish writer Sholem Aleichem and a supportive partner throughout his literary career.
  • E. Olga Milles
    Olga Milles was the wife of Swedish sculptor Carl Milles and is primarily known for her association with his life and artistic career.
  • 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_69ca841d2b18819089f9faf5b2c2aec0 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd05fb1454819098f452846ca4ca61 completed April 1, 2026, 11:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0780650648190bc85452678268134 completed April 4, 2026, 2:31 a.m.
Created at: March 30, 2026, 7:31 p.m.