Triple

T22022089
Position Surface form Disambiguated ID Type / Status
Subject Dead in a Week (Or Your Money Back) E543869 entity
Predicate musicBy P1952 FINISHED
Object Paul Saunderson
Paul Saunderson is a British film and television composer known for his atmospheric, emotionally driven scores across a range of contemporary productions.
 E1514129 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: Paul Saunderson | Statement: [Dead in a Week (Or Your Money Back), musicBy, Paul Saunderson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paul Saunderson
Context triple: [Dead in a Week (Or Your Money Back), musicBy, Paul Saunderson]
  • A. Andrew Stearn
    Andrew Stearn is a television producer known for his executive production work on the crime drama series "Animal Kingdom."
  • B. John Lindley
    John Lindley was a 19th-century English botanist renowned for his influential work in plant taxonomy and classification.
  • C. John Lindley
    John Lindley is an American cinematographer known for his work on popular films and television series, including the romantic comedy "You've Got Mail."
  • D. Robert Gerarde
    Robert Gerarde is a fictional character from the 1966 musical biographical film "The Singing Nun."
  • E. Henry Martyn Scudder
    Henry Martyn Scudder was a 19th-century American missionary and clergyman known for his extensive evangelistic and educational work in India.
  • 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: Paul Saunderson
Triple: [Dead in a Week (Or Your Money Back), musicBy, Paul Saunderson]
Generated description
Paul Saunderson is a British film and television composer known for his atmospheric, emotionally driven scores across a range of contemporary productions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paul Saunderson
Target entity description: Paul Saunderson is a British film and television composer known for his atmospheric, emotionally driven scores across a range of contemporary productions.
  • A. Andrew Stearn
    Andrew Stearn is a television producer known for his executive production work on the crime drama series "Animal Kingdom."
  • B. John Lindley
    John Lindley was a 19th-century English botanist renowned for his influential work in plant taxonomy and classification.
  • C. John Lindley
    John Lindley is an American cinematographer known for his work on popular films and television series, including the romantic comedy "You've Got Mail."
  • D. Robert Gerarde
    Robert Gerarde is a fictional character from the 1966 musical biographical film "The Singing Nun."
  • E. Henry Martyn Scudder
    Henry Martyn Scudder was a 19th-century American missionary and clergyman known for his extensive evangelistic and educational work in India.
  • 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127c8ac6881909a9e96e0873a3ae2 completed April 28, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a738527b481908b8f5aeb7d4cf5c7 completed May 18, 2026, 2:03 a.m.
NEDg Description generation batch_6a0a745e534881909a681b9f2234afa5 completed May 18, 2026, 2:07 a.m.
NED2 Entity disambiguation (via description) batch_6a0a7857e6dc819088b592cdff7d4cf3 completed May 18, 2026, 2:24 a.m.
Created at: April 16, 2026, 8:23 p.m.