Triple

T1213879
Position Surface form Disambiguated ID Type / Status
Subject Roy Vagelos E26063 entity
Predicate spouse P13 FINISHED
Object Diana Vagelos E45334 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: Diana Vagelos | Statement: [Roy Vagelos, spouse, Diana Vagelos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diana Vagelos
Context triple: [Roy Vagelos, spouse, Diana Vagelos]
  • A. Diana Vagelos chosen
    Diana Vagelos is a philanthropist and benefactor whose support, alongside that of her husband P. Roy Vagelos, has been instrumental in advancing medical education and research at Columbia University.
  • B. Caroline Bamberger Fuld
    Caroline Bamberger Fuld was an American philanthropist whose major charitable work helped establish one of the world’s leading centers for theoretical research, the Institute for Advanced Study in Princeton.
  • C. Barbara Volcker
    Barbara Volcker was the wife of former Federal Reserve Chairman Paul A. Volcker and a partner in his public and professional life.
  • D. Gail J. McGovern
    Gail J. McGovern is an American business executive and nonprofit leader best known for serving as president and CEO of the American Red Cross.
  • E. Margaret Cuomo
    Margaret Cuomo is an American radiologist, author, and health advocate known for her work in cancer prevention and public health education.
  • 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_69a4948331fc8190b531ac9bec71c491 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be024e448190ba263a0cc5cc9cd5 completed March 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacaf11588190b0bbc1d280bf9a78 completed March 7, 2026, 10:54 p.m.
Created at: March 1, 2026, 7:46 p.m.