Triple

T18414782
Position Surface form Disambiguated ID Type / Status
Subject Ancel Keys E441857 entity
Predicate spouse P13 FINISHED
Object Margaret Keys
Margaret Keys was the wife of American physiologist Ancel Keys, known for collaborating with him on nutrition research and supporting his influential work on diet and health.
E1340336 NE FINISHED

How this triple was built (4 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: Margaret Keys | Statement: [Ancel Keys, spouse, Margaret Keys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret Keys
Context triple: [Ancel Keys, spouse, Margaret Keys]
  • A. Margaret Keys
    Margaret Keys is an Irish classical crossover soprano and recording artist known for her performances with major orchestras and appearances on international stages.
  • B. Margaret Welsh
    Margaret Welsh is an American actress known for her work in film, television, and theater.
  • C. Margaret Cox
    Margaret Cox is known as the daughter of British physicist and science communicator Brian Cox.
  • D. Margaret Kelly
    Margaret Kelly is an American artist and the first wife of actor and comedian Bill Murray, to whom she was married from 1981 to 1996.
  • E. Margaret Haley
    Margaret Haley was an influential American educator and labor activist who championed teachers' rights and helped pioneer the modern teachers' union movement.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Margaret Keys
Triple: [Ancel Keys, spouse, Margaret Keys]
Generated description
Margaret Keys was the wife of American physiologist Ancel Keys, known for collaborating with him on nutrition research and supporting his influential work on diet and health.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Margaret Keys
Target entity description: Margaret Keys was the wife of American physiologist Ancel Keys, known for collaborating with him on nutrition research and supporting his influential work on diet and health.
  • A. Margaret Keys
    Margaret Keys is an Irish classical crossover soprano and recording artist known for her performances with major orchestras and appearances on international stages.
  • B. Margaret Welsh
    Margaret Welsh is an American actress known for her work in film, television, and theater.
  • C. Margaret Cox
    Margaret Cox is known as the daughter of British physicist and science communicator Brian Cox.
  • D. Margaret Kelly
    Margaret Kelly is an American artist and the first wife of actor and comedian Bill Murray, to whom she was married from 1981 to 1996.
  • E. Margaret Haley
    Margaret Haley was an influential American educator and labor activist who championed teachers' rights and helped pioneer the modern teachers' union movement.
  • F. None of above. chosen

Provenance (5 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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51a26d268819098e6791dc98efcda completed April 19, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0532420eb0819099c64ff829a2561c completed May 14, 2026, 2:24 a.m.
NEDg Description generation batch_6a053541ad9081909d562e55e8663fea completed May 14, 2026, 2:36 a.m.
NED2 Entity disambiguation (via description) batch_6a05358ee7948190b479fcc5d888dccf completed May 14, 2026, 2:38 a.m.
Created at: April 10, 2026, 10:47 a.m.