Triple

T89732
Position Surface form Disambiguated ID Type / Status
Subject Edwin H. Armstrong E1803 entity
Predicate spouse P13 FINISHED
Object Marion MacInnis E1803 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: Marion MacInnis | Statement: [Edwin H. Armstrong, spouse, Marion MacInnis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marion MacInnis
Context triple: [Edwin H. Armstrong, spouse, Marion MacInnis]
  • A. Marion MacInnis chosen
    Marion MacInnis was the wife of pioneering American electrical engineer and radio inventor Edwin H. Armstrong.
  • B. Barbara Dickson
    Barbara Dickson is a Scottish singer and actress known for her folk-inspired pop music and roles in musical theatre, including the hit musical "Blood Brothers."
  • C. Margaret Craig McNamara
    Margaret Craig McNamara was an American educator and literacy advocate best known as the founder of the nonprofit organization Reading Is Fundamental (RIF).
  • D. Patricia Spence
    Patricia Spence was the second wife of British philosopher and Nobel laureate Bertrand Russell.
  • E. Rena Lalgie
    Rena Lalgie is a British civil servant who became the first Black woman to serve as Governor of Bermuda.
  • 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_69a24d1a97dc819094e6c021fe9b05a7 completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a383e3575c8190932dcdc25503d06e completed March 1, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69a41034bb0c819088ee08dee7428af5 completed March 1, 2026, 10:08 a.m.
Created at: Feb. 28, 2026, 2:07 a.m.