Triple

T17632223
Position Surface form Disambiguated ID Type / Status
Subject Mr. and Mrs. Bridge (film) E430004 entity
Predicate castMember P1668 FINISHED
Object Margaret Welsh 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: Margaret Welsh | Statement: [Mr. and Mrs. Bridge (film), castMember, Margaret Welsh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret Welsh
Context triple: [Mr. and Mrs. Bridge (film), castMember, Margaret Welsh]
  • A. Margaret Welsh chosen
    Margaret Welsh is an American actress known for her work in film, television, and theater.
  • B. Margaret Cox
    Margaret Cox is known as the daughter of British physicist and science communicator Brian Cox.
  • C. Margaret Whigham
    Margaret Whigham, later known as Margaret, Duchess of Argyll, was a prominent British socialite whose glamorous lifestyle and highly publicized divorce scandal made her one of the most notorious figures of mid-20th-century high society.
  • D. Margaret Gill
    Margaret Gill was the wife of renowned 19th-century African American Shakespearean actor Ira Aldridge.
  • E. Margaret Drinnan
    Margaret Drinnan was the wife of 19th-century Scottish golf champion Young Tom Morris.
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46dc276b48190923f1869ebfe4400 completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 5:52 a.m.