Triple

T8302733
Position Surface form Disambiguated ID Type / Status
Subject Mayor of Burnaby E194385 entity
Predicate officeHolder P537 FINISHED
Object Tom Constable
Tom Constable is a Canadian municipal politician who served as the mayor of Burnaby, British Columbia.
E723785 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: Tom Constable | Statement: [Mayor of Burnaby, officeHolder, Tom Constable]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Constable
Context triple: [Mayor of Burnaby, officeHolder, Tom Constable]
  • A. Stephen Carlile
    Stephen Carlile is a British stage actor best known for playing Scar in the Broadway and touring productions of Disney’s The Lion King.
  • B. William Pleeth
    William Pleeth was a renowned British cellist and influential teacher best known for mentoring the celebrated cellist Jacqueline du Pré.
  • C. John Bunn
    John Bunn was an American basketball coach and administrator known for his influential roles in college basketball and contributions to the sport’s development.
  • D. Andrew Brooke
    Andrew Brooke is a British actor known for his roles in television dramas and series, including the 2013 miniseries "The Bible."
  • E. Clive Beddoe
    Clive Beddoe is a Canadian entrepreneur best known as a co-founder and longtime leader of the low-cost airline WestJet.
  • 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: Tom Constable
Triple: [Mayor of Burnaby, officeHolder, Tom Constable]
Generated description
Tom Constable is a Canadian municipal politician who served as the mayor of Burnaby, British Columbia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tom Constable
Target entity description: Tom Constable is a Canadian municipal politician who served as the mayor of Burnaby, British Columbia.
  • A. Stephen Carlile
    Stephen Carlile is a British stage actor best known for playing Scar in the Broadway and touring productions of Disney’s The Lion King.
  • B. William Pleeth
    William Pleeth was a renowned British cellist and influential teacher best known for mentoring the celebrated cellist Jacqueline du Pré.
  • C. John Bunn
    John Bunn was an American basketball coach and administrator known for his influential roles in college basketball and contributions to the sport’s development.
  • D. Andrew Brooke
    Andrew Brooke is a British actor known for his roles in television dramas and series, including the 2013 miniseries "The Bible."
  • E. Clive Beddoe
    Clive Beddoe is a Canadian entrepreneur best known as a co-founder and longtime leader of the low-cost airline WestJet.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7e8a45348190a7895b33abcb64c9 completed March 31, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd68c2a14c81908388ecdd22315390 completed April 1, 2026, 6:49 p.m.
NEDg Description generation batch_69cd6d58032c8190ba99f78670924ae5 completed April 1, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69cd7e5be1108190afbc65b69a7700f2 completed April 1, 2026, 8:21 p.m.
Created at: March 30, 2026, 5:53 p.m.