Triple

T19840561
Position Surface form Disambiguated ID Type / Status
Subject Sleep Train E476714 entity
Predicate foundedBy P104 FINISHED
Object Dale Carlsen
Dale Carlsen is an American entrepreneur best known as the founder and former CEO of the Sleep Train mattress retail chain.
 E1398772 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: Dale Carlsen | Statement: [Sleep Train, foundedBy, Dale Carlsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dale Carlsen
Context triple: [Sleep Train, foundedBy, Dale Carlsen]
  • A. Dale Peters
    Dale Peters is an American rock bassist best known for his work with the James Gang during the late 1960s and early 1970s.
  • B. Dale Beldin
    Dale Beldin is a film editor best known for his work on the action-comedy movie "Beverly Hills Cop III."
  • C. Dale Hansen
    Dale Hansen was a U.S. Marine and Medal of Honor recipient from World War II, honored posthumously through the naming of Camp Hansen in Okinawa, Japan.
  • D. Dale Winter
    Dale Winter was an American actress and singer active in the early 20th century, known for her work on stage and in vaudeville.
  • E. Ron Carlson
    Ron Carlson is an American author and educator known for his acclaimed short stories and novels that often explore everyday lives with humor and emotional depth.
  • 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: Dale Carlsen
Triple: [Sleep Train, foundedBy, Dale Carlsen]
Generated description
Dale Carlsen is an American entrepreneur best known as the founder and former CEO of the Sleep Train mattress retail chain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dale Carlsen
Target entity description: Dale Carlsen is an American entrepreneur best known as the founder and former CEO of the Sleep Train mattress retail chain.
  • A. Dale Peters
    Dale Peters is an American rock bassist best known for his work with the James Gang during the late 1960s and early 1970s.
  • B. Dale Beldin
    Dale Beldin is a film editor best known for his work on the action-comedy movie "Beverly Hills Cop III."
  • C. Dale Hansen
    Dale Hansen was a U.S. Marine and Medal of Honor recipient from World War II, honored posthumously through the naming of Camp Hansen in Okinawa, Japan.
  • D. Dale Winter
    Dale Winter was an American actress and singer active in the early 20th century, known for her work on stage and in vaudeville.
  • E. Ron Carlson
    Ron Carlson is an American author and educator known for his acclaimed short stories and novels that often explore everyday lives with humor and emotional depth.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6580576748190b85e234b01209ae7 completed April 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07d438c0208190a6d5b6781b99d37e completed May 16, 2026, 2:19 a.m.
NEDg Description generation batch_6a07d8082bfc81909db58a0477c4d55f completed May 16, 2026, 2:35 a.m.
NED2 Entity disambiguation (via description) batch_6a07d8744bdc8190adfcc428ff55e790 completed May 16, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:51 p.m.