Triple

T8135804
Position Surface form Disambiguated ID Type / Status
Subject Laurence Olivier E189966 entity
Predicate spouse P13 FINISHED
Object Vivien Leigh E34677 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: Vivien Leigh | Statement: [Laurence Olivier, spouse, Vivien Leigh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vivien Leigh
Context triple: [Laurence Olivier, spouse, Vivien Leigh]
  • A. Vivien Leigh chosen
    Vivien Leigh was a British actress best known for her Academy Award–winning performances as Scarlett O’Hara in "Gone with the Wind" and Blanche DuBois in "A Streetcar Named Desire."
  • B. Anna Maria Dandridge
    Anna Maria Dandridge was a colonial Virginian woman from the prominent Dandridge family, known primarily as a relative of Martha Dandridge Custis Washington, the future First Lady of the United States.
  • C. Suellen O'Hara
    Suellen O'Hara is Scarlett O'Hara’s vain and self-interested younger sister in Margaret Mitchell’s novel "Gone with the Wind."
  • D. Bette Davis
    Bette Davis was an iconic American film actress renowned for her intense, uncompromising performances and pioneering portrayals of complex, strong-willed women on screen.
  • E. Greer Garson
    Greer Garson was a British-American actress renowned for her dignified, warm portrayals in classic Hollywood films of the 1940s, including her Oscar-winning role in "Mrs. Miniver."
  • 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_69ca82bcb4848190a9a9d036ad768642 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43fff6e0819086c95b571272b50c completed March 31, 2026, 3:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbec8491c81908362d44c42fc8568 completed April 1, 2026, 6:44 a.m.
Created at: March 30, 2026, 5:35 p.m.