Triple

T8659333
Position Surface form Disambiguated ID Type / Status
Subject Flora Robson E205505 entity
Predicate workedWith P398 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: [Flora Robson, workedWith, Vivien Leigh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vivien Leigh
Context triple: [Flora Robson, workedWith, 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_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc486ece68819089c74bdf98b64490 completed March 31, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccf559c4819089dfb8d6b11de1df completed April 2, 2026, 8:09 p.m.
Created at: March 30, 2026, 6:30 p.m.