Triple

T539541
Position Surface form Disambiguated ID Type / Status
Subject Robert Peel E12598 entity
Predicate mother P120 FINISHED
Object Ellen Yates
Ellen Yates was the mother of Sir Robert Peel, the influential 19th-century British Prime Minister and founder of the modern police force.
 E182036 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: Ellen Yates | Statement: [Robert Peel, mother, Ellen Yates]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ellen Yates
Context triple: [Robert Peel, mother, Ellen Yates]
  • A. Aileen Britton
    Aileen Britton was an Australian actress known for her work in film, television, and theatre during the mid-20th century.
  • B. Joan Barclay
    Joan Barclay was an American film actress known for her numerous roles in low-budget Westerns and B-movies during the 1930s and 1940s.
  • C. Yvonne Roberts
    Yvonne Roberts is a British journalist and writer known for her work on social issues, politics, and feminism.
  • D. Frances Penney
    Frances Penney was the wife of Canadian physician and humanitarian Norman Bethune, accompanying parts of his medical and political journey in the early 20th century.
  • E. Frances Rudge
    Frances Rudge was the wife of influential American film and theatre director Elia Kazan.
  • 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: Ellen Yates
Triple: [Robert Peel, mother, Ellen Yates]
Generated description
Ellen Yates was the mother of Sir Robert Peel, the influential 19th-century British Prime Minister and founder of the modern police force.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ellen Yates
Target entity description: Ellen Yates was the mother of Sir Robert Peel, the influential 19th-century British Prime Minister and founder of the modern police force.
  • A. Aileen Britton
    Aileen Britton was an Australian actress known for her work in film, television, and theatre during the mid-20th century.
  • B. Joan Barclay
    Joan Barclay was an American film actress known for her numerous roles in low-budget Westerns and B-movies during the 1930s and 1940s.
  • C. Yvonne Roberts
    Yvonne Roberts is a British journalist and writer known for her work on social issues, politics, and feminism.
  • D. Frances Penney
    Frances Penney was the wife of Canadian physician and humanitarian Norman Bethune, accompanying parts of his medical and political journey in the early 20th century.
  • E. Frances Rudge
    Frances Rudge was the wife of influential American film and theatre director Elia Kazan.
  • 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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a496dd31c88190b3114805aa31931c completed March 1, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad517bbe088190b1cac2ea8eb2063b completed March 8, 2026, 10:37 a.m.
NEDg Description generation batch_69ad522beb488190b5157db37eb0da8e completed March 8, 2026, 10:40 a.m.
NED2 Entity disambiguation (via description) batch_69ad529de3dc819081c8ad3d7aa8bef8 completed March 8, 2026, 10:42 a.m.
Created at: March 1, 2026, 7:32 p.m.