Triple

T18709149
Position Surface form Disambiguated ID Type / Status
Subject Surviving Picasso E457451 entity
Predicate portrays P264 FINISHED
Object Olga Khokhlova NE NERFINISHED

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 Khokhlova | Statement: [Surviving Picasso, portrays, Olga Khokhlova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olga Khokhlova
Context triple: [Surviving Picasso, portrays, Olga Khokhlova]
  • A. Olga Khokhlova chosen
    Olga Khokhlova was a Ukrainian-born ballet dancer with Sergei Diaghilev’s Ballets Russes who became Pablo Picasso’s first wife and a prominent figure in his personal and artistic life.
  • B. Aleksandra Khokhlova
    Aleksandra Khokhlova was a Russian silent film actress and director associated with early Soviet cinema and experimental montage techniques.
  • C. Tatiana Afanasyeva
    Tatiana Afanasyeva was a Russian-Dutch mathematician and physicist known for her work in statistical mechanics and the foundations of thermodynamics, as well as for her collaborations with her husband, physicist Paul Ehrenfest.
  • D. Tatiana Orlova
    Tatiana Orlova was the wife of renowned Russian choreographer and ballet dancer Léonide Massine.
  • E. Nadezhda Pavlova
    Nadezhda Pavlova is a renowned Russian ballerina celebrated for her distinguished career as a principal dancer and her refined classical technique.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5671a3c8c81909466bf5d81477a37 completed April 19, 2026, 11:36 p.m.
Created at: April 10, 2026, 11:50 a.m.