Triple

T3051147
Position Surface form Disambiguated ID Type / Status
Subject The Hours E83573 entity
Predicate editor P1954 FINISHED
Object Peter Boyle
Peter Boyle is a film editor known for his work on acclaimed movies such as "The Hours."
 E340105 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 Boyle | Statement: [The Hours, editor, Peter Boyle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peter Boyle
Context triple: [The Hours, editor, Peter Boyle]
  • A. Peter Boyle
    Peter Boyle was an American character actor best known for his roles in films like "Young Frankenstein" and "Taxi Driver" and the TV series "Everybody Loves Raymond."
  • B. Burgess Meredith
    Burgess Meredith was an American actor and director best known for his versatile character roles in film, television, and theater, including his iconic performance as the Penguin in the 1960s Batman TV series.
  • C. Donald Crisp
    Donald Crisp was a British-born American film actor and director best known for his prolific career in early Hollywood cinema, including roles in numerous silent and sound films.
  • D. Robert Allen
    Robert Allen was an American film actor active in the 1930s, best known for his roles in Westerns and crime dramas.
  • E. Eddie Albert
    Eddie Albert was an American actor best known for his roles in film and television, particularly the sitcom "Green Acres" and numerous classic Hollywood movies.
  • 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 Boyle
Triple: [The Hours, editor, Peter Boyle]
Generated description
Peter Boyle is a film editor known for his work on acclaimed movies such as "The Hours."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peter Boyle
Target entity description: Peter Boyle is a film editor known for his work on acclaimed movies such as "The Hours."
  • A. Peter Boyle
    Peter Boyle was an American character actor best known for his roles in films like "Young Frankenstein" and "Taxi Driver" and the TV series "Everybody Loves Raymond."
  • B. Burgess Meredith
    Burgess Meredith was an American actor and director best known for his versatile character roles in film, television, and theater, including his iconic performance as the Penguin in the 1960s Batman TV series.
  • C. Donald Crisp
    Donald Crisp was a British-born American film actor and director best known for his prolific career in early Hollywood cinema, including roles in numerous silent and sound films.
  • D. Robert Allen
    Robert Allen was an American film actor active in the 1930s, best known for his roles in Westerns and crime dramas.
  • E. Eddie Albert
    Eddie Albert was an American actor best known for his roles in film and television, particularly the sitcom "Green Acres" and numerous classic Hollywood movies.
  • 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_69ad8b24924c8190a9bb6f61d519e4ae completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9bb1a46081908547a2f27cbf3446 completed March 8, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b276d6aaec8190b741e58790c4af23 completed March 12, 2026, 8:18 a.m.
NEDg Description generation batch_69b27b15581881908426ed673e8e37e8 completed March 12, 2026, 8:36 a.m.
NED2 Entity disambiguation (via description) batch_69b27ba3262c8190ad3a0e5bea079422 completed March 12, 2026, 8:38 a.m.
Created at: March 8, 2026, 3:01 p.m.