Triple

T3139718
Position Surface form Disambiguated ID Type / Status
Subject Robin Cook E65613 entity
Predicate spouse P13 FINISHED
Object Margaret Whitmore
Margaret Whitmore is best known as the wife of American physician-turned-thriller novelist Robin Cook.
E525676 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 Whitmore | Statement: [Robin Cook, spouse, Margaret Whitmore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret Whitmore
Context triple: [Robin Cook, spouse, Margaret Whitmore]
  • A. Margaret Gibson
    Margaret Gibson was the wife of American actor Noah Beery, associated with the early Hollywood film era.
  • B. Margaret Cox
    Margaret Cox is known as the daughter of British physicist and science communicator Brian Cox.
  • C. Margaret Wade
    Margaret Wade was a pioneering American women’s basketball coach, best known for leading Delta State University to multiple national championships in the 1970s and for having the Wade Trophy, women’s basketball’s top collegiate player award, named in her honor.
  • D. Margaret Taylor
    Margaret Taylor was the First Lady of the United States from 1849 to 1850 as the wife of President Zachary Taylor.
  • E. Margaret Penn
    Margaret Penn was a 17th-century Englishwoman best known as the daughter of Admiral Sir William Penn and sister of William Penn, the founder of Pennsylvania.
  • 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 Whitmore
Triple: [Robin Cook, spouse, Margaret Whitmore]
Generated description
Margaret Whitmore is best known as the wife of American physician-turned-thriller novelist Robin Cook.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Margaret Whitmore
Target entity description: Margaret Whitmore is best known as the wife of American physician-turned-thriller novelist Robin Cook.
  • A. Margaret Gibson
    Margaret Gibson was the wife of American actor Noah Beery, associated with the early Hollywood film era.
  • B. Margaret Cox
    Margaret Cox is known as the daughter of British physicist and science communicator Brian Cox.
  • C. Margaret Wade
    Margaret Wade was a pioneering American women’s basketball coach, best known for leading Delta State University to multiple national championships in the 1970s and for having the Wade Trophy, women’s basketball’s top collegiate player award, named in her honor.
  • D. Margaret Taylor
    Margaret Taylor was the First Lady of the United States from 1849 to 1850 as the wife of President Zachary Taylor.
  • E. Margaret Penn
    Margaret Penn was a 17th-century Englishwoman best known as the daughter of Admiral Sir William Penn and sister of William Penn, the founder of Pennsylvania.
  • 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_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada57743e08190a1069c62e32f1bd4 completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf95285fc08190b6dcae44270f486f completed March 22, 2026, 7:07 a.m.
NEDg Description generation batch_69bf958e448c81908613c521b3659e52 completed March 22, 2026, 7:09 a.m.
NED2 Entity disambiguation (via description) batch_69bf9749108c8190af59acd298365350 completed March 22, 2026, 7:16 a.m.
Created at: March 8, 2026, 3:05 p.m.