Triple

T15711937
Position Surface form Disambiguated ID Type / Status
Subject Blue Ruin E380859 entity
Predicate producer P490 FINISHED
Object Richard Peete
Richard Peete is a film producer best known for his work on acclaimed independent features such as the thriller "Blue Ruin."
E1172452 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: Richard Peete | Statement: [Blue Ruin, producer, Richard Peete]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Peete
Context triple: [Blue Ruin, producer, Richard Peete]
  • A. Bill Pertwee
    Bill Pertwee was a British comic actor best known for playing the irascible ARP Warden Hodges in the classic television sitcom "Dad's Army."
  • B. Roy Marples
    Roy Marples is a software engineer best known for his work on the OpenRC init system and various networking tools in the Linux and BSD ecosystems.
  • C. Colin Tapley
    Colin Tapley was a New Zealand-born actor known for his supporting roles in British and American films during the 1930s and 1940s.
  • D. Errol Christie
    Errol Christie was a British professional boxer and former amateur champion known for captaining the English amateur boxing team and competing as a middleweight in the 1980s.
  • E. Alan Forsyth
    Alan Forsyth is a co-founder and founding partner of the architectural firm Benson & Forsyth, known for its contemporary and innovative building designs.
  • 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: Richard Peete
Triple: [Blue Ruin, producer, Richard Peete]
Generated description
Richard Peete is a film producer best known for his work on acclaimed independent features such as the thriller "Blue Ruin."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Richard Peete
Target entity description: Richard Peete is a film producer best known for his work on acclaimed independent features such as the thriller "Blue Ruin."
  • A. Bill Pertwee
    Bill Pertwee was a British comic actor best known for playing the irascible ARP Warden Hodges in the classic television sitcom "Dad's Army."
  • B. Roy Marples
    Roy Marples is a software engineer best known for his work on the OpenRC init system and various networking tools in the Linux and BSD ecosystems.
  • C. Colin Tapley
    Colin Tapley was a New Zealand-born actor known for his supporting roles in British and American films during the 1930s and 1940s.
  • D. Errol Christie
    Errol Christie was a British professional boxer and former amateur champion known for captaining the English amateur boxing team and competing as a middleweight in the 1980s.
  • E. Alan Forsyth
    Alan Forsyth is a co-founder and founding partner of the architectural firm Benson & Forsyth, known for its contemporary and innovative building designs.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f8f5d6081908243fa59b46b7c76 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff757f571881908015fe68df2a5e69 completed May 9, 2026, 5:57 p.m.
NEDg Description generation batch_69ff769d305881908791ffcb0a30ee35 completed May 9, 2026, 6:02 p.m.
NED2 Entity disambiguation (via description) batch_69ff770b73d48190a422a0760c03f763 completed May 9, 2026, 6:03 p.m.
Created at: April 10, 2026, 4:45 a.m.