Triple

T6435254
Position Surface form Disambiguated ID Type / Status
Subject Smartsheet E129878 entity
Predicate foundedBy P104 FINISHED
Object John Creason
John Creason is a technology entrepreneur best known as a founder of the collaborative work management software company Smartsheet.
 E593382 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: John Creason | Statement: [Smartsheet, foundedBy, John Creason]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Creason
Context triple: [Smartsheet, foundedBy, John Creason]
  • A. Luke Doolan
    Luke Doolan is an Australian film editor and filmmaker best known for his work on acclaimed films such as "Animal Kingdom."
  • B. Richard Creedon
    Richard Creedon was a screenwriter best known for his work on Disney’s landmark animated feature film "Snow White and the Seven Dwarfs."
  • C. Andrew Duggan
    Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
  • D. Dan Kavanagh
    Dan Kavanagh is the crime-fiction pseudonym used by British novelist Julian Barnes for a series of detective novels.
  • E. Daniel McCreanor
    Daniel McCreanor was one of the civilians killed in the 1994 Loughinisland massacre in County Down, Northern Ireland, when loyalist gunmen opened fire in a village pub during a World Cup football match.
  • 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: John Creason
Triple: [Smartsheet, foundedBy, John Creason]
Generated description
John Creason is a technology entrepreneur best known as a founder of the collaborative work management software company Smartsheet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Creason
Target entity description: John Creason is a technology entrepreneur best known as a founder of the collaborative work management software company Smartsheet.
  • A. Luke Doolan
    Luke Doolan is an Australian film editor and filmmaker best known for his work on acclaimed films such as "Animal Kingdom."
  • B. Richard Creedon
    Richard Creedon was a screenwriter best known for his work on Disney’s landmark animated feature film "Snow White and the Seven Dwarfs."
  • C. Andrew Duggan
    Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
  • D. Dan Kavanagh
    Dan Kavanagh is the crime-fiction pseudonym used by British novelist Julian Barnes for a series of detective novels.
  • E. Daniel McCreanor
    Daniel McCreanor was one of the civilians killed in the 1994 Loughinisland massacre in County Down, Northern Ireland, when loyalist gunmen opened fire in a village pub during a World Cup football match.
  • 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_69c0084caac48190a7bc2ad8ba44536f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c069415c3c8190b91bd12ae79edd26 completed March 22, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bbf31bc8190981362639a0e1ce5 completed March 27, 2026, 9:19 a.m.
NEDg Description generation batch_69c64c467d4881909a2bb21e64ed8962 completed March 27, 2026, 9:22 a.m.
NED2 Entity disambiguation (via description) batch_69c64cb64a78819086a84cf36bb06a1b completed March 27, 2026, 9:24 a.m.
Created at: March 22, 2026, 4:45 p.m.