Triple

T8626000
Position Surface form Disambiguated ID Type / Status
Subject La Chinoise E204281 entity
Predicate stars P1956 FINISHED
Object Anne Wiazemsky E205191 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: Anne Wiazemsky | Statement: [La Chinoise, stars, Anne Wiazemsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne Wiazemsky
Context triple: [La Chinoise, stars, Anne Wiazemsky]
  • A. Anne Wiazemsky chosen
    Anne Wiazemsky was a French actress and novelist known for her roles in 1960s European art cinema and her later acclaimed literary career.
  • B. Marie Jaworski
    Marie Jaworski was the mother of Leon Jaworski, the prominent American lawyer best known as the Watergate special prosecutor.
  • C. Ruth Sobotka
    Ruth Sobotka was an Austrian-born American dancer, costume designer, and art director active in mid-20th-century New York’s ballet and theater scenes.
  • D. Maria Miloslavskaya
    Maria Miloslavskaya was the first wife of Tsar Alexis I of Russia and a Russian tsarina from the influential Miloslavsky noble family in the 17th century.
  • E. Ivy Litvinov
    Ivy Litvinov was an English-born writer and translator who became notable in Soviet literary circles and as the wife of prominent Soviet diplomat Maxim Litvinov.
  • 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_69ca834a4ea0819094970dceb9e389f3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc472b8fa481909f52f83ea210483e completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebbf03c688190a989f16675f6e8a6 completed April 2, 2026, 6:56 p.m.
Created at: March 30, 2026, 6:26 p.m.