Triple

T3422764
Position Surface form Disambiguated ID Type / Status
Subject On Golden Pond E72150 entity
Predicate AcademyAwardWinnerActress P8116 FINISHED
Object Katharine Hepburn E15036 NE FINISHED

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: Katharine Hepburn | Statement: [On Golden Pond, AcademyAwardWinnerActress, Katharine Hepburn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katharine Hepburn
Context triple: [On Golden Pond, AcademyAwardWinnerActress, Katharine Hepburn]
  • A. Katharine Hepburn chosen
    Katharine Hepburn was an iconic American actress renowned for her fiercely independent screen persona, sharp wit, and a record four Academy Awards for Best Actress during Hollywood’s Golden Age.
  • B. Olivia de Havilland
    Olivia de Havilland was a British-American actress of Hollywood’s Golden Age, renowned for her nuanced dramatic performances and two Academy Award-winning roles.
  • C. Julia Pfeiffer Burns
    Julia Pfeiffer Burns was a respected early 20th-century rancher and pioneer on California’s Big Sur coast, remembered for her close ties to the land and local community.
  • D. 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."
  • E. Geraldine Page
    Geraldine Page was an acclaimed American stage and film actress, renowned for her intense character work and multiple Academy Award-nominated performances, ultimately winning Best Actress for "The Trip to Bountiful."
  • 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: AcademyAwardWinnerActress
Context triple: [On Golden Pond, AcademyAwardWinnerActress, Katharine Hepburn]
  • A. academyAwardForBestActress
    Indicates that an entity received the Academy Award for Best Actress in a leading role.
  • B. numberOfAcademyAwardsForBestActress
    Indicates the total count of Academy Awards received by an entity specifically in the Best Actress category.
  • C. bestActressWinner chosen
    Indicates that the subject has won the Best Actress award in a given competition or context.
  • D. oscarCategoryWon
    Indicates that an entity has won an Academy Award in the specified Oscar category.
  • E. academyAwardWins
    Indicates that one entity has won a specified number of Academy Awards (Oscars) or that a winning relationship exists between the entity and the Academy Award.
  • F. None of above.

Provenance (4 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_69ad85ad38e48190b7660c5118a35289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb95223e081908b2954769d2f46c8 completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4881f1e1c81908de3a0729761c4f7 completed March 13, 2026, 9:56 p.m.
PD Predicate disambiguation batch_69adadfea024819094b41a13bc004bda completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:15 p.m.