Triple

T17010234
Position Surface form Disambiguated ID Type / Status
Subject Pamela Brown E412678 entity
Predicate partner P1136 FINISHED
Object Peter Copley
Peter Copley was a British character actor known for his extensive work in film, television, and theatre throughout the mid-20th century.
 E1244645 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: Peter Copley | Statement: [Pamela Brown, partner, Peter Copley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peter Copley
Context triple: [Pamela Brown, partner, Peter Copley]
  • A. Richard Copley
    Richard Copley was the father of the renowned American-born painter John Singleton Copley.
  • B. Paul Broughton
    Paul Broughton is an actor best known for his role in the British television drama series "The Lakes."
  • C. Roger Cawley
    Roger Cawley is best known as the husband and long-time supporter of Australian tennis legend Evonne Goolagong-Cawley, often involved in managing aspects of her post-tennis career and public engagements.
  • D. Denys Cowan
    Denys Cowan is an American comic book artist and producer best known for his influential work at DC Comics and as a founding figure behind the groundbreaking, Black-led publisher Milestone Media.
  • E. Richard Hiscott
    Richard Hiscott is an editor known for his work on the television series "Willow."
  • 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: Peter Copley
Triple: [Pamela Brown, partner, Peter Copley]
Generated description
Peter Copley was a British character actor known for his extensive work in film, television, and theatre throughout the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peter Copley
Target entity description: Peter Copley was a British character actor known for his extensive work in film, television, and theatre throughout the mid-20th century.
  • A. Richard Copley
    Richard Copley was the father of the renowned American-born painter John Singleton Copley.
  • B. Paul Broughton
    Paul Broughton is an actor best known for his role in the British television drama series "The Lakes."
  • C. Roger Cawley
    Roger Cawley is best known as the husband and long-time supporter of Australian tennis legend Evonne Goolagong-Cawley, often involved in managing aspects of her post-tennis career and public engagements.
  • D. Denys Cowan
    Denys Cowan is an American comic book artist and producer best known for his influential work at DC Comics and as a founding figure behind the groundbreaking, Black-led publisher Milestone Media.
  • E. Richard Hiscott
    Richard Hiscott is an editor known for his work on the television series "Willow."
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d47a8444819081f1262eb7dbda40 completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc241ec88190a3e868ab88b26f09 completed May 10, 2026, 7:27 p.m.
NEDg Description generation batch_6a0114d7d03c8190943777f4eac956fd completed May 10, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_6a01159a08b081908fc82adc7cca532a completed May 10, 2026, 11:32 p.m.
Created at: April 10, 2026, 5:33 a.m.