Triple

T13702451
Position Surface form Disambiguated ID Type / Status
Subject Coffy E328552 entity
Predicate editedBy P1954 FINISHED
Object Chuck McClelland
Chuck McClelland is a film editor best known for his work on the 1973 blaxploitation film "Coffy."
 E1055273 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: Chuck McClelland | Statement: [Coffy, editedBy, Chuck McClelland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chuck McClelland
Context triple: [Coffy, editedBy, Chuck McClelland]
  • A. John Kirkpatrick
    John Kirkpatrick is an English folk musician and singer renowned for his virtuoso playing of the melodeon, button accordion, and concertina, and for his influential role in the British folk revival.
  • B. John McClelland
    John McClelland was a Canadian publisher best known as the co-founder and driving force behind the influential publishing house McClelland and Stewart.
  • C. Hugh Baird
    Hugh Baird was a Scottish civil engineer best known for his major role in early 19th-century canal design and construction.
  • D. William McNamara
    William McNamara is an American actor known for his roles in 1990s thrillers and dramas, including prominent performances in films like "Copycat" and "Wild Hearts Can't Be Broken."
  • E. Carl Beck
    Carl Beck was an American lyricist best known for co-writing the University of Wisconsin’s fight song “On, Wisconsin!”.
  • 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: Chuck McClelland
Triple: [Coffy, editedBy, Chuck McClelland]
Generated description
Chuck McClelland is a film editor best known for his work on the 1973 blaxploitation film "Coffy."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chuck McClelland
Target entity description: Chuck McClelland is a film editor best known for his work on the 1973 blaxploitation film "Coffy."
  • A. John Kirkpatrick
    John Kirkpatrick is an English folk musician and singer renowned for his virtuoso playing of the melodeon, button accordion, and concertina, and for his influential role in the British folk revival.
  • B. John McClelland
    John McClelland was a Canadian publisher best known as the co-founder and driving force behind the influential publishing house McClelland and Stewart.
  • C. Hugh Baird
    Hugh Baird was a Scottish civil engineer best known for his major role in early 19th-century canal design and construction.
  • D. William McNamara
    William McNamara is an American actor known for his roles in 1990s thrillers and dramas, including prominent performances in films like "Copycat" and "Wild Hearts Can't Be Broken."
  • E. Carl Beck
    Carl Beck was an American lyricist best known for co-writing the University of Wisconsin’s fight song “On, Wisconsin!”.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dcad162158819089280ee1e6b5c2cf completed April 13, 2026, 8:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79459192c81908132ad9813d69125 completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f79655d5f08190a3cbf3e12e2ffa67 completed May 3, 2026, 6:39 p.m.
NED2 Entity disambiguation (via description) batch_69f7972a1cf48190a1d435227414967a completed May 3, 2026, 6:42 p.m.
Created at: April 9, 2026, 9:54 p.m.