Triple

T18137816
Position Surface form Disambiguated ID Type / Status
Subject BBC Trust E434182 entity
Predicate hasChairperson P10 FINISHED
Object Rona Fairhead
Rona Fairhead is a British businesswoman and former media executive who became the first woman to chair the BBC’s governing body.
E1312338 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: Rona Fairhead | Statement: [BBC Trust, hasChairperson, Rona Fairhead]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rona Fairhead
Context triple: [BBC Trust, hasChairperson, Rona Fairhead]
  • A. Ruth Cosgrove
    Ruth Cosgrove was the wife of American comedian and television pioneer Milton Berle.
  • B. Fiona Powrie
    Fiona Powrie is a British immunologist renowned for her pioneering research on the immune regulation of intestinal inflammation and the role of regulatory T cells in gut homeostasis.
  • C. Joanne Catherall
    Joanne Catherall is an English singer best known as one of the longtime vocalists of the pioneering synth-pop band The Human League.
  • D. Lorna Maudling
    Lorna Maudling was the wife of British Conservative politician Reginald Maudling and a figure within mid-20th-century British political social circles.
  • E. Ruth Donnelly
    Ruth Donnelly was an American character actress known for her sharp-tongued, comedic supporting roles in numerous Hollywood films of the 1930s and 1940s.
  • 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: Rona Fairhead
Triple: [BBC Trust, hasChairperson, Rona Fairhead]
Generated description
Rona Fairhead is a British businesswoman and former media executive who became the first woman to chair the BBC’s governing body.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rona Fairhead
Target entity description: Rona Fairhead is a British businesswoman and former media executive who became the first woman to chair the BBC’s governing body.
  • A. Ruth Cosgrove
    Ruth Cosgrove was the wife of American comedian and television pioneer Milton Berle.
  • B. Fiona Powrie
    Fiona Powrie is a British immunologist renowned for her pioneering research on the immune regulation of intestinal inflammation and the role of regulatory T cells in gut homeostasis.
  • C. Joanne Catherall
    Joanne Catherall is an English singer best known as one of the longtime vocalists of the pioneering synth-pop band The Human League.
  • D. Lorna Maudling
    Lorna Maudling was the wife of British Conservative politician Reginald Maudling and a figure within mid-20th-century British political social circles.
  • E. Ruth Donnelly
    Ruth Donnelly was an American character actress known for her sharp-tongued, comedic supporting roles in numerous Hollywood films of the 1930s and 1940s.
  • 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de089f1881908dff9835be5129a1 completed April 19, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a039effedd88190b7398132f15c5265 completed May 12, 2026, 9:43 p.m.
NEDg Description generation batch_6a039fdd9c4c819083b450657d0ece43 completed May 12, 2026, 9:47 p.m.
NED2 Entity disambiguation (via description) batch_6a03a0d6de8c8190b1f94c7de0856143 completed May 12, 2026, 9:51 p.m.
Created at: April 10, 2026, 10:29 a.m.