Triple

T23492282
Position Surface form Disambiguated ID Type / Status
Subject Journey for Margaret E570708 entity
Predicate starring P1507 FINISHED
Object Dame May Whitty NE NERFINISHED

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: Dame May Whitty | Statement: [Journey for Margaret, starring, Dame May Whitty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dame May Whitty
Context triple: [Journey for Margaret, starring, Dame May Whitty]
  • A. Dame May Whitty chosen
    Dame May Whitty was a distinguished English stage and film actress, renowned for her character roles in British and Hollywood cinema during the early 20th century.
  • B. Peggy Ashcroft
    Peggy Ashcroft was a distinguished English stage and film actress renowned for her Shakespearean performances and her long, influential career in British theatre.
  • C. Peggy Arliss
    Peggy Arliss was the wife of British screenwriter and film director Leslie Arliss, associated with the mid-20th-century British film industry.
  • D. Billie Whitelaw
    Billie Whitelaw was an acclaimed English actress renowned for her intense stage and screen performances, particularly in the plays of Samuel Beckett.
  • E. Edith Lesley
    Edith Lesley was an American educator and founder of the teacher-training institution that evolved into Lesley University in Cambridge, Massachusetts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b0b01481908f636939bedd804c completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a7dd56408190b459077e433ed1c3 completed April 29, 2026, 6:40 a.m.
Created at: April 17, 2026, 6:05 p.m.