Triple

T22802036
Position Surface form Disambiguated ID Type / Status
Subject Academy Award for Best Picture (for Driving Miss Daisy, as director of winning film) E564420 entity
Predicate leadActressOfWinningFilm P12610 FINISHED
Object Jessica Tandy NE NERFINISHED

How this triple was built (3 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: Jessica Tandy | Statement: [Academy Award for Best Picture (for Driving Miss Daisy, as director of winning film), leadActressOfWinningFilm, Jessica Tandy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jessica Tandy
Context triple: [Academy Award for Best Picture (for Driving Miss Daisy, as director of winning film), leadActressOfWinningFilm, Jessica Tandy]
  • A. Jessica Tandy chosen
    Jessica Tandy was an acclaimed British-American actress known for her distinguished stage and film career, including her Academy Award–winning performance in "Driving Miss Daisy."
  • B. Patricia Neal
    Patricia Neal was an acclaimed American film, stage, and television actress best known for her Oscar-winning performance in "Hud" and her roles in classics like "The Day the Earth Stood Still."
  • C. Mary Gish
    Mary Gish was the mother of famed silent film actresses Lillian and Dorothy Gish, known for supporting their early careers in the motion picture industry.
  • D. Thelma Ritter
    Thelma Ritter was an acclaimed American character actress known for her sharp-tongued, humorous supporting roles in classic mid-20th-century films and for receiving multiple Academy Award nominations.
  • E. Helen Hayes
    Helen Hayes was an acclaimed American actress often called the "First Lady of the American Theatre," whose career spanned stage, film, and television and earned her multiple major awards.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: leadActressOfWinningFilm
Context triple: [Academy Award for Best Picture (for Driving Miss Daisy, as director of winning film), leadActressOfWinningFilm, Jessica Tandy]
  • A. leadingActressNominee
    Indicates that a person has been nominated for an award in the leading actress category for a particular work or performance.
  • B. leadActress
    Indicates that the subject is the primary female performer in the specified film, show, or production.
  • C. bestActressWinner
    Indicates that the subject has won the Best Actress award in a given competition or context.
  • D. academyAwardForBestActress chosen
    Indicates that an entity received the Academy Award for Best Actress in a leading role.
  • E. bestActressWinnerWork
    Indicates the work (such as a film or performance) for which a person received a Best Actress award.
  • F. None of above.

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_69e245823f4c8190ade442cdcc2c224a completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cdd87648190ba30f0b8f3ef7346 completed April 29, 2026, 3:37 a.m.
PD Predicate disambiguation batch_69eed2cb30f481909566369f515f6eff completed April 27, 2026, 3:06 a.m.
Created at: April 17, 2026, 3:31 p.m.