Triple

T21440801
Position Surface form Disambiguated ID Type / Status
Subject God & Guns E528933 entity
Predicate producer P490 FINISHED
Object Peter Keyes
Peter Keyes is a music producer best known for his work on the project "God & Guns."
 E1484518 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 Keyes | Statement: [God & Guns, producer, Peter Keyes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peter Keyes
Context triple: [God & Guns, producer, Peter Keyes]
  • A. Peter Keyes
    Peter Keyes is a determined federal agent leading a covert task force to hunt the alien Predator in the sci-fi action film "Predator 2."
  • B. Ralph Keyes
    Ralph Keyes is a former Irish rugby union fly-half best known for being the top points scorer at the 1991 Rugby World Cup.
  • C. Daniel Keyes
    Daniel Keyes was an American author best known for his science fiction work "Flowers for Algernon," which explores themes of intelligence, identity, and human dignity.
  • D. Robert Stone
    Robert Stone was an acclaimed American novelist known for his dark, politically charged fiction exploring moral ambiguity and American involvement abroad.
  • E. Ken Kesey
    Ken Kesey was an American novelist and countercultural figure best known for his influential 1962 novel "One Flew Over the Cuckoo's Nest" and his role in the 1960s psychedelic movement.
  • 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 Keyes
Triple: [God & Guns, producer, Peter Keyes]
Generated description
Peter Keyes is a music producer best known for his work on the project "God & Guns."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peter Keyes
Target entity description: Peter Keyes is a music producer best known for his work on the project "God & Guns."
  • A. Peter Keyes
    Peter Keyes is a determined federal agent leading a covert task force to hunt the alien Predator in the sci-fi action film "Predator 2."
  • B. Ralph Keyes
    Ralph Keyes is a former Irish rugby union fly-half best known for being the top points scorer at the 1991 Rugby World Cup.
  • C. Daniel Keyes
    Daniel Keyes was an American author best known for his science fiction work "Flowers for Algernon," which explores themes of intelligence, identity, and human dignity.
  • D. Robert Stone
    Robert Stone was an acclaimed American novelist known for his dark, politically charged fiction exploring moral ambiguity and American involvement abroad.
  • E. Ken Kesey
    Ken Kesey was an American novelist and countercultural figure best known for his influential 1962 novel "One Flew Over the Cuckoo's Nest" and his role in the 1960s psychedelic movement.
  • 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_69e0c4569fa081908101baa24f8745db completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b70101208190a77bf5dd53dce37a completed April 22, 2026, 11:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09c90127ec8190a82c20c4168ad7c3 completed May 17, 2026, 1:56 p.m.
NEDg Description generation batch_6a09c99200a88190ad13565044dfcac0 completed May 17, 2026, 1:58 p.m.
NED2 Entity disambiguation (via description) batch_6a09ca3c4ec48190829b1bd83b933f53 completed May 17, 2026, 2:01 p.m.
Created at: April 16, 2026, 6:05 p.m.