Triple

T8207036
Position Surface form Disambiguated ID Type / Status
Subject Lady for a Day E191712 entity
Predicate leadActress P6108 FINISHED
Object May Robson E224103 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: May Robson | Statement: [Lady for a Day, leadActress, May Robson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: May Robson
Context triple: [Lady for a Day, leadActress, May Robson]
  • A. May Robson chosen
    May Robson was an Australian-born American stage and film actress known for her character roles in early Hollywood cinema, including appearances in major silent and sound-era productions.
  • B. Amy Bosley
    Amy Bosley is known as the daughter of American actor Tom Bosley, famed for his role as Howard Cunningham on the television series "Happy Days."
  • C. Susan Mara
    Susan Mara is a member of the Mara family, the longtime owners of the NFL’s New York Giants franchise.
  • D. Barbara Weston
    Barbara Weston is the central character of the American sitcom "Empty Nest," portrayed as a quirky and often scatterbrained adult daughter living with her widowed father.
  • E. Anne Rennie
    Anne Rennie is known as the wife of bestselling adventure novelist Wilbur Smith.
  • 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_69ca82c7f3e08190857bf1fc63b2a10c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb726b520081908ce4a03bd14dfcdf completed March 31, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce1cb9c9e0819080ea2875b22537ec completed April 2, 2026, 7:37 a.m.
Created at: March 30, 2026, 5:43 p.m.