Triple

T3257489
Position Surface form Disambiguated ID Type / Status
Subject Burnie E68331 entity
Predicate namedAfter P63 FINISHED
Object William Burnie
William Burnie is the person after whom the Australian city of Burnie in Tasmania is named.
E343199 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: William Burnie | Statement: [Burnie, namedAfter, William Burnie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Burnie
Context triple: [Burnie, namedAfter, William Burnie]
  • A. Andrew Cockburn
    Andrew Cockburn is a British-American journalist and author known for his investigative reporting and books on national security, military affairs, and U.S. foreign policy.
  • B. Phil Woolpert
    Phil Woolpert was a prominent American college basketball coach best known for leading the University of San Francisco to multiple national championships in the 1950s.
  • C. Roger Gage
    Roger Gage is a British stage director known for his work in theatre and for having been married to acclaimed actress Joan Plowright.
  • D. Roger Howells
    Roger Howells is a relatively obscure individual whose name is notably recorded as a bearer of the surname Howells.
  • E. Murray Sayle
    Murray Sayle was an Australian journalist, war correspondent, and writer renowned for his investigative reporting and long-form pieces in publications such as The Sunday Times.
  • 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: William Burnie
Triple: [Burnie, namedAfter, William Burnie]
Generated description
William Burnie is the person after whom the Australian city of Burnie in Tasmania is named.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: William Burnie
Target entity description: William Burnie is the person after whom the Australian city of Burnie in Tasmania is named.
  • A. Andrew Cockburn
    Andrew Cockburn is a British-American journalist and author known for his investigative reporting and books on national security, military affairs, and U.S. foreign policy.
  • B. Phil Woolpert
    Phil Woolpert was a prominent American college basketball coach best known for leading the University of San Francisco to multiple national championships in the 1950s.
  • C. Roger Gage
    Roger Gage is a British stage director known for his work in theatre and for having been married to acclaimed actress Joan Plowright.
  • D. Roger Howells
    Roger Howells is a relatively obscure individual whose name is notably recorded as a bearer of the surname Howells.
  • E. Murray Sayle
    Murray Sayle was an Australian journalist, war correspondent, and writer renowned for his investigative reporting and long-form pieces in publications such as The Sunday Times.
  • 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_69ad858f74408190bcbd07f967cd7bd0 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf6a46448190a7fa0ca83fa096f8 completed March 8, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ed3a7908190bfab434a64af5f2f completed March 12, 2026, 10 a.m.
NEDg Description generation batch_69b2903dd0ac819088499f06edfeac56 completed March 12, 2026, 10:06 a.m.
NED2 Entity disambiguation (via description) batch_69b2d6bf36988190b394766e9821047c completed March 12, 2026, 3:07 p.m.
Created at: March 8, 2026, 3:09 p.m.