Triple

T5695844
Position Surface form Disambiguated ID Type / Status
Subject Can-Can E125536 entity
Predicate originalLeadPerformer P11499 FINISHED
Object Peter Cookson
Peter Cookson was an American stage and screen actor active in the mid-20th century, known for his work on Broadway and in films.
 E557680 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 Cookson | Statement: [Can-Can, originalLeadPerformer, Peter Cookson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peter Cookson
Context triple: [Can-Can, originalLeadPerformer, Peter Cookson]
  • A. Jay Cocks
    Jay Cocks is an American screenwriter and film critic best known for his collaborations with director Martin Scorsese on historical and character-driven dramas.
  • B. Richard Copley
    Richard Copley was the father of the renowned American-born painter John Singleton Copley.
  • C. Patrick Snodgrass
    Patrick Snodgrass is an individual notable enough to be recognized as a namesake of the surname Snodgrass.
  • D. Colin Pilger
    Colin Pilger is an individual notable enough to be recognized as a bearer of the surname Pilger, though specific widely known public details about him are not readily available.
  • E. Peter Sissons
    Peter Sissons was a prominent British journalist and television newsreader best known for presenting major news programmes on the BBC and ITN.
  • 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 Cookson
Triple: [Can-Can, originalLeadPerformer, Peter Cookson]
Generated description
Peter Cookson was an American stage and screen actor active in the mid-20th century, known for his work on Broadway and in films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peter Cookson
Target entity description: Peter Cookson was an American stage and screen actor active in the mid-20th century, known for his work on Broadway and in films.
  • A. Jay Cocks
    Jay Cocks is an American screenwriter and film critic best known for his collaborations with director Martin Scorsese on historical and character-driven dramas.
  • B. Richard Copley
    Richard Copley was the father of the renowned American-born painter John Singleton Copley.
  • C. Patrick Snodgrass
    Patrick Snodgrass is an individual notable enough to be recognized as a namesake of the surname Snodgrass.
  • D. Colin Pilger
    Colin Pilger is an individual notable enough to be recognized as a bearer of the surname Pilger, though specific widely known public details about him are not readily available.
  • E. Peter Sissons
    Peter Sissons was a prominent British journalist and television newsreader best known for presenting major news programmes on the BBC and ITN.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0240bde1881909f7ea13bd84deaa8 completed March 22, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e32cce548190898c735f8c494415 completed March 23, 2026, 6:52 a.m.
NEDg Description generation batch_69c0e66e96c481909133503f553d4bc4 completed March 23, 2026, 7:06 a.m.
NED2 Entity disambiguation (via description) batch_69c0e6c3ec548190814b44fe953ab25e completed March 23, 2026, 7:07 a.m.
Created at: March 22, 2026, 3:45 p.m.