Triple

T8072019
Position Surface form Disambiguated ID Type / Status
Subject Pablo Picasso E188395 entity
Predicate spouse P13 FINISHED
Object Olga Khokhlova E36128 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 Khokhlova | Statement: [Pablo Picasso, spouse, Olga Khokhlova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olga Khokhlova
Context triple: [Pablo Picasso, spouse, 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. Olga Lysova
    Olga Lysova is a Russian woman best known as the first wife of billionaire businessman and former Chelsea F.C. owner Roman Abramovich.
  • D. Yekaterina Zhdanova
    Yekaterina Zhdanova is the daughter of Svetlana Alliluyeva, making her a granddaughter of Soviet leader Joseph Stalin.
  • E. Larisa Antipova
    Larisa Antipova is a central female character in Boris Pasternak's novel "Doctor Zhivago," known for her complex romantic relationships and symbolic role amid the turmoil of the Russian Revolution.
  • 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_69ca82b50c708190863f661d438e68df completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4046a2148190a584e33bcf53cf22 completed March 31, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd947cf7a881908b45cf262887da86 completed April 1, 2026, 9:56 p.m.
Created at: March 30, 2026, 5:27 p.m.