Triple

T19881086
Position Surface form Disambiguated ID Type / Status
Subject Evelyn Wood E477772 entity
Predicate spouse P13 FINISHED
Object Mary Paulina Southwell 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: Mary Paulina Southwell | Statement: [Evelyn Wood, spouse, Mary Paulina Southwell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Paulina Southwell
Context triple: [Evelyn Wood, spouse, Mary Paulina Southwell]
  • A. Mary Paulina Southwell chosen
    Mary Paulina Southwell was a 19th-century British aristocrat best known as the wife of distinguished Victorian soldier and colonial administrator Sir Evelyn Wood.
  • B. Mary Healy
    Mary Healy was an American actress and singer known for her work in film, television, and on stage, often performing alongside her husband, entertainer Peter Lind Hayes.
  • C. Mary Frances Belli
    Mary Frances Belli was the wife of William Howley, the 19th-century Archbishop of Canterbury.
  • D. Muriel Irene McBrien
    Muriel Irene McBrien, later known as Muriel McBrien Kauffman, was an American philanthropist and arts patron best known for her major contributions to cultural and civic institutions in Kansas City, Missouri.
  • E. Mary Servoss
    Mary Servoss was an American actress known for her supporting roles in mid-20th-century films and stage productions.
  • 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658df3f5c81909b5b290de91b8d50 completed April 20, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:52 p.m.