Triple

T16224015
Position Surface form Disambiguated ID Type / Status
Subject Baroness Bakewell E393798 entity
Predicate birthName P65 FINISHED
Object Joan Dawson Rowlands
Joan Dawson Rowlands, better known as Baroness Bakewell, is a prominent British journalist, broadcaster, and Labour life peer renowned for her work on arts and social issues.
E1206909 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: Joan Dawson Rowlands | Statement: [Baroness Bakewell, birthName, Joan Dawson Rowlands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joan Dawson Rowlands
Context triple: [Baroness Bakewell, birthName, Joan Dawson Rowlands]
  • A. Joan Drane
    Joan Drane was the wife of American actor Lee Van Cleef, known for his roles in classic Western films.
  • B. Joan Stanley
    Joan Stanley is the fictional protagonist of the film "Red Joan," inspired by real-life British civil servant and spy Melita Norwood, who passed atomic secrets to the Soviet Union.
  • C. 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.
  • D. Joan Graham
    Joan Graham is known as the mother of American actress Heather Graham.
  • E. Joan Davis
    Joan Davis was an American comedic actress best known for her work in radio, film, and the early television sitcom "I Married Joan."
  • 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: Joan Dawson Rowlands
Triple: [Baroness Bakewell, birthName, Joan Dawson Rowlands]
Generated description
Joan Dawson Rowlands, better known as Baroness Bakewell, is a prominent British journalist, broadcaster, and Labour life peer renowned for her work on arts and social issues.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Joan Dawson Rowlands
Target entity description: Joan Dawson Rowlands, better known as Baroness Bakewell, is a prominent British journalist, broadcaster, and Labour life peer renowned for her work on arts and social issues.
  • A. Joan Drane
    Joan Drane was the wife of American actor Lee Van Cleef, known for his roles in classic Western films.
  • B. Joan Stanley
    Joan Stanley is the fictional protagonist of the film "Red Joan," inspired by real-life British civil servant and spy Melita Norwood, who passed atomic secrets to the Soviet Union.
  • C. 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.
  • D. Joan Graham
    Joan Graham is known as the mother of American actress Heather Graham.
  • E. Joan Davis
    Joan Davis was an American comedic actress best known for her work in radio, film, and the early television sitcom "I Married Joan."
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d24f9688190b670cfeb73332293 completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0025f740ec8190ab075c953e27cfba completed May 10, 2026, 6:30 a.m.
NEDg Description generation batch_6a0026da02448190b971fdc6420a078b completed May 10, 2026, 6:34 a.m.
NED2 Entity disambiguation (via description) batch_6a0027f99d948190b22812f0c9a2c0ff completed May 10, 2026, 6:38 a.m.
Created at: April 10, 2026, 5:03 a.m.