Triple

T2261215
Position Surface form Disambiguated ID Type / Status
Subject Pierre Matisse E50042 entity
Predicate spouse P13 FINISHED
Object Alexina Duchamp E203116 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: Alexina Duchamp | Statement: [Pierre Matisse, spouse, Alexina Duchamp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexina Duchamp
Context triple: [Pierre Matisse, spouse, Alexina Duchamp]
  • A. Alexina Duchamp chosen
    Alexina Duchamp was an art dealer and the second wife of Marcel Duchamp, known for preserving and promoting his legacy and the work of other modern artists.
  • B. Suzanne Duchamp
    Suzanne Duchamp was a French Dadaist and Surrealist painter known for her experimental, often abstract works and her participation in the avant-garde art movements of the early 20th century.
  • C. Sam DuChamp
    Sam DuChamp is a fictional author character in Salman Rushdie’s novel "Quichotte," serving as the metafictional creator of the book’s protagonist and narrative.
  • D. Emilie Oppenheim
    Emilie Oppenheim was the wife of the influential 19th-century German Reform rabbi and scholar Abraham Geiger.
  • E. Fernande Olivier
    Fernande Olivier was a French artist’s model and memoirist best known as Pablo Picasso’s early muse during his formative Paris years.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc18aa9d48190893ca32558730e9c completed March 7, 2026, 6:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71cb1540819093db7f91ae66c19f completed March 9, 2026, 7:07 a.m.
Created at: March 4, 2026, 7:48 p.m.