Triple

T20283404
Position Surface form Disambiguated ID Type / Status
Subject Christianna Brand E503207 entity
Predicate hasPseudonym P3799 FINISHED
Object Mary Brand 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 Brand | Statement: [Christianna Brand, hasPseudonym, Mary Brand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Brand
Context triple: [Christianna Brand, hasPseudonym, Mary Brand]
  • A. Mary Brand chosen
    Mary Brand is a pseudonym of Christianna Brand, the British crime novelist best known for her Inspector Cockrill detective stories.
  • B. Barbara Feldon
    Barbara Feldon is an American actress and former model best known for her role as the stylish and intelligent Agent 99 on the 1960s television comedy series "Get Smart."
  • C. Anne Rennie
    Anne Rennie is known as the wife of bestselling adventure novelist Wilbur Smith.
  • D. June Mulgrew
    June Mulgrew is a New Zealand woman best known as the second wife of famed mountaineer Sir Edmund Hillary.
  • E. Mary Matchwell
    Mary Matchwell is a sinister fortune-teller and con artist who plays a key role in the intrigue and supernatural overtones of Joseph Sheridan Le Fanu’s novel "The House by the Churchyard."
  • 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_69e0b4b0e79c8190bd61f22ef1329fa8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6769049b48190bc449557b79b9e81 completed April 20, 2026, 6:55 p.m.
Created at: April 16, 2026, 10:48 a.m.