Triple

T3321419
Position Surface form Disambiguated ID Type / Status
Subject A Passage to India E69802 entity
Predicate academyAwardWinnerName P10689 FINISHED
Object Peggy Ashcroft E207387 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: Peggy Ashcroft | Statement: [A Passage to India, academyAwardWinnerName, Peggy Ashcroft]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peggy Ashcroft
Context triple: [A Passage to India, academyAwardWinnerName, Peggy Ashcroft]
  • A. Peggy Ashcroft chosen
    Peggy Ashcroft was a distinguished English stage and film actress renowned for her Shakespearean performances and her long, influential career in British theatre.
  • B. Edith Lesley
    Edith Lesley was an American educator and founder of the teacher-training institution that evolved into Lesley University in Cambridge, Massachusetts.
  • C. Billie Whitelaw
    Billie Whitelaw was an acclaimed English actress renowned for her intense stage and screen performances, particularly in the plays of Samuel Beckett.
  • D. Phyllis Fraser
    Phyllis Fraser was an American actress-turned-publishing executive and children's book editor who co-founded Beginner Books and played a key role in popularizing early readers like those by Dr. Seuss.
  • E. Peggy Wood
    Peggy Wood was an American actress and singer best known for her stage and screen work, including her role as the Mother Abbess in the film adaptation of "The Sound of Music."
  • 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: academyAwardWinnerName
Context triple: [A Passage to India, academyAwardWinnerName, Peggy Ashcroft]
  • A. academyAwardForBestActress
    Indicates that an entity received the Academy Award for Best Actress in a leading role.
  • B. oscarCategoryWon
    Indicates that an entity has won an Academy Award in the specified Oscar category.
  • C. oscarAward chosen
    Indicates that an entity has received or been honored with an Academy Award (Oscar).
  • D. 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.
  • E. bestActorWinner
    Indicates that the subject is the recipient of a "Best Actor" award for a particular performance or event.
  • 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_69ad85a1829881908942c14075644d0d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb13b85208190b13aba355d5dafcf completed March 8, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb6f45ec8190835a8a68ffa99efc completed March 13, 2026, 7:23 a.m.
PD Predicate disambiguation batch_69ada42a19348190a3862ce02451f4aa completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:11 p.m.