Triple

T12971175
Position Surface form Disambiguated ID Type / Status
Subject Gladys Cooper E321398 entity
Predicate child P120 FINISHED
Object John Pearson
John Pearson is the son of renowned English actress Dame Gladys Cooper.
 E1017076 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: John Pearson | Statement: [Gladys Cooper, child, John Pearson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Pearson
Context triple: [Gladys Cooper, child, John Pearson]
  • A. John Pearson
    John Pearson was a 17th-century English theologian and scholar, best known for his influential work "An Exposition of the Creed" and his prominence within the Church of England.
  • B. John Pearson
    John Pearson was a British author and biographer best known for his works on the Kray twins and other true-crime and historical subjects.
  • C. Mike Parker Pearson
    Mike Parker Pearson is a prominent British archaeologist and professor best known for his influential research on Stonehenge and its surrounding prehistoric landscape.
  • D. Richard Pearson
    Richard Pearson is a film editor best known for his work on major Hollywood productions, including the superhero ensemble film "Justice League."
  • E. Richard Pearson
    Richard Pearson was a British naval officer best known for commanding HMS Serapis in its famous 1779 engagement against John Paul Jones during the Battle of Flamborough Head.
  • 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: John Pearson
Triple: [Gladys Cooper, child, John Pearson]
Generated description
John Pearson is the son of renowned English actress Dame Gladys Cooper.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Pearson
Target entity description: John Pearson is the son of renowned English actress Dame Gladys Cooper.
  • A. John Pearson
    John Pearson was a British author and biographer best known for his works on the Kray twins and other true-crime and historical subjects.
  • B. John Pearson
    John Pearson was a 17th-century English theologian and scholar, best known for his influential work "An Exposition of the Creed" and his prominence within the Church of England.
  • C. Mike Parker Pearson
    Mike Parker Pearson is a prominent British archaeologist and professor best known for his influential research on Stonehenge and its surrounding prehistoric landscape.
  • D. Richard Pearson
    Richard Pearson is a film editor best known for his work on major Hollywood productions, including the superhero ensemble film "Justice League."
  • E. Richard Pearson
    Richard Pearson was a British naval officer best known for commanding HMS Serapis in its famous 1779 engagement against John Paul Jones during the Battle of Flamborough Head.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e418d548190be1c73db76cb3aa8 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbc0b8188190a6a40bb4edf53e25 completed May 3, 2026, 4:14 a.m.
NEDg Description generation batch_69f6cd0d21e08190855dcbee000fc25d completed May 3, 2026, 4:20 a.m.
NED2 Entity disambiguation (via description) batch_69f6ce6b220c8190b1f49a9b2bfce692 completed May 3, 2026, 4:26 a.m.
Created at: April 9, 2026, 8:35 p.m.