Triple

T18163137
Position Surface form Disambiguated ID Type / Status
Subject Martha Kearney E434817 entity
Predicate birthName P65 FINISHED
Object Martha Catherine Kearney 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: Martha Catherine Kearney | Statement: [Martha Kearney, birthName, Martha Catherine Kearney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martha Catherine Kearney
Context triple: [Martha Kearney, birthName, Martha Catherine Kearney]
  • A. Martha Kearney chosen
    Martha Kearney is a British journalist and broadcaster best known as a prominent presenter on BBC radio and television, including flagship programmes such as Woman’s Hour and The World at One.
  • B. Martha Hunt
    Martha Hunt is an American fashion model best known for her work with Victoria’s Secret, including serving as a Victoria’s Secret Angel.
  • C. Martha Lindsay
    Martha Lindsay is known primarily as the daughter of American actress and pianist Diana Lynn.
  • D. Mary Catherine O'Shea
    Mary Catherine O'Shea is the daughter of American film actress Virginia Mayo.
  • E. Martha Thompson
    Martha Thompson was the wife of Confederate Lieutenant General John C. Pemberton, noted for his role in the American Civil War.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dec419788190a999a68f32fab39b completed April 19, 2026, 1:55 p.m.
Created at: April 10, 2026, 10:30 a.m.