Triple

T13984946
Position Surface form Disambiguated ID Type / Status
Subject Sims E336413 entity
Predicate hasNotableBearer P458 FINISHED
Object David Sims
David Sims is a British fashion photographer renowned for his influential work in high-end editorial and advertising campaigns.
 E1078566 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: David Sims | Statement: [Sims, hasNotableBearer, David Sims]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: David Sims
Context triple: [Sims, hasNotableBearer, David Sims]
  • A. David Simkins
    David Simkins is a television writer and producer known for his work on genre and drama series, including serving as an executive producer on The Lizzie Borden Chronicles.
  • B. Paul Simms
    Paul Simms is the central character in the 1970s American sitcom "The Paul Lynde Show," portrayed by comedian Paul Lynde as a harried suburban family man.
  • C. Michael Sims
    Michael Sims is an American author and essayist known for his works on nature, science, and cultural history.
  • D. Jay Simms
    Jay Simms was an American screenwriter best known for his work on mid-20th-century science fiction and genre films.
  • E. Howard Sims
    Howard Sims was an influential American tap dancer renowned for his virtuosic rhythm tap style and his long association with New York’s Apollo Theater.
  • 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: David Sims
Triple: [Sims, hasNotableBearer, David Sims]
Generated description
David Sims is a British fashion photographer renowned for his influential work in high-end editorial and advertising campaigns.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: David Sims
Target entity description: David Sims is a British fashion photographer renowned for his influential work in high-end editorial and advertising campaigns.
  • A. David Simkins
    David Simkins is a television writer and producer known for his work on genre and drama series, including serving as an executive producer on The Lizzie Borden Chronicles.
  • B. Paul Simms
    Paul Simms is the central character in the 1970s American sitcom "The Paul Lynde Show," portrayed by comedian Paul Lynde as a harried suburban family man.
  • C. Michael Sims
    Michael Sims is an American author and essayist known for his works on nature, science, and cultural history.
  • D. Jay Simms
    Jay Simms was an American screenwriter best known for his work on mid-20th-century science fiction and genre films.
  • E. Howard Sims
    Howard Sims was an influential American tap dancer renowned for his virtuosic rhythm tap style and his long association with New York’s Apollo Theater.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ea3e5a081908ed8ead108139252 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb6504dcc81908a1dfa5a83ed7b08 completed May 7, 2026, 3:57 p.m.
NEDg Description generation batch_69fcc408dc008190ae61bd7044857bb6 completed May 7, 2026, 4:55 p.m.
NED2 Entity disambiguation (via description) batch_69fcc4770ce48190ab8ed2bd5f669d8d completed May 7, 2026, 4:57 p.m.
Created at: April 9, 2026, 10:18 p.m.