Triple

T3066281
Position Surface form Disambiguated ID Type / Status
Subject American Beauty E62110 entity
Predicate editor P1954 FINISHED
Object Christopher Greenbury
Christopher Greenbury was a British film editor best known for his Academy Award–winning work on the 1999 drama "American Beauty."
 E367116 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: Christopher Greenbury | Statement: [American Beauty, editor, Christopher Greenbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Christopher Greenbury
Context triple: [American Beauty, editor, Christopher Greenbury]
  • A. Howard Greenhalgh
    Howard Greenhalgh is a British music video director known for his visually distinctive and often surreal work for major rock and pop artists in the 1990s and beyond.
  • B. Richard Bristow
    Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
  • C. Richard Hiscott
    Richard Hiscott is an editor known for his work on the television series "Willow."
  • D. Anthony Peckham
    Anthony Peckham is a South African–born screenwriter best known for scripting films such as "Invictus" and "Sherlock Holmes."
  • E. Colin Hanton
    Colin Hanton is an English drummer best known for playing with The Quarrymen, the skiffle group that evolved into The Beatles.
  • 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: Christopher Greenbury
Triple: [American Beauty, editor, Christopher Greenbury]
Generated description
Christopher Greenbury was a British film editor best known for his Academy Award–winning work on the 1999 drama "American Beauty."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Christopher Greenbury
Target entity description: Christopher Greenbury was a British film editor best known for his Academy Award–winning work on the 1999 drama "American Beauty."
  • A. Howard Greenhalgh
    Howard Greenhalgh is a British music video director known for his visually distinctive and often surreal work for major rock and pop artists in the 1990s and beyond.
  • B. Richard Bristow
    Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
  • C. Richard Hiscott
    Richard Hiscott is an editor known for his work on the television series "Willow."
  • D. Anthony Peckham
    Anthony Peckham is a South African–born screenwriter best known for scripting films such as "Invictus" and "Sherlock Holmes."
  • E. Colin Hanton
    Colin Hanton is an English drummer best known for playing with The Quarrymen, the skiffle group that evolved into The Beatles.
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada0fd87308190918e7b616f033faa completed March 8, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38ba897188190bf3ee24cb8a7384f completed March 13, 2026, 3:59 a.m.
NEDg Description generation batch_69b38f66b82081908464647ac42a893c completed March 13, 2026, 4:15 a.m.
NED2 Entity disambiguation (via description) batch_69b38fdf85208190b7d4dec1521866f8 completed March 13, 2026, 4:17 a.m.
Created at: March 8, 2026, 3:02 p.m.