Triple

T18533903
Position Surface form Disambiguated ID Type / Status
Subject Sir John Willison E452911 entity
Predicate employer P7 FINISHED
Object Toronto News
Toronto News was a Canadian newspaper based in Toronto, known for its political coverage and for employing prominent journalists such as Sir John Willison.
E1328692 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: Toronto News | Statement: [Sir John Willison, employer, Toronto News]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toronto News
Context triple: [Sir John Willison, employer, Toronto News]
  • A. Toronto
    Toronto is the largest city in Canada and a major cultural, financial, and media hub located in the province of Ontario.
  • B. Toronto East
    Toronto East was a former federal electoral district in Toronto, Ontario, represented in the Canadian House of Commons.
  • C. Toronto Centre
    Toronto Centre is a densely populated federal electoral district in downtown Toronto, Ontario, known for its diverse communities and significant political prominence.
  • D. Downtown Toronto
    Downtown Toronto is the city’s primary central business district and cultural core, known for its dense skyline, major attractions, and vibrant urban life.
  • E. Toronto sign
    The Toronto sign is a large, illuminated public art installation that spells out the city's name and serves as an iconic photo spot and gathering place in downtown Toronto.
  • 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: Toronto News
Triple: [Sir John Willison, employer, Toronto News]
Generated description
Toronto News was a Canadian newspaper based in Toronto, known for its political coverage and for employing prominent journalists such as Sir John Willison.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Toronto News
Target entity description: Toronto News was a Canadian newspaper based in Toronto, known for its political coverage and for employing prominent journalists such as Sir John Willison.
  • A. Toronto
    Toronto is the largest city in Canada and a major cultural, financial, and media hub located in the province of Ontario.
  • B. Toronto East
    Toronto East was a former federal electoral district in Toronto, Ontario, represented in the Canadian House of Commons.
  • C. Toronto Centre
    Toronto Centre is a densely populated federal electoral district in downtown Toronto, Ontario, known for its diverse communities and significant political prominence.
  • D. Downtown Toronto
    Downtown Toronto is the city’s primary central business district and cultural core, known for its dense skyline, major attractions, and vibrant urban life.
  • E. Toronto sign
    The Toronto sign is a large, illuminated public art installation that spells out the city's name and serves as an iconic photo spot and gathering place in downtown Toronto.
  • 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53400d548819080b17f30b3ee7174 completed April 19, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a04917d2530819085469bde7a83c138 completed May 13, 2026, 2:58 p.m.
NEDg Description generation batch_6a0492594a248190941912120fb77acb completed May 13, 2026, 3:01 p.m.
NED2 Entity disambiguation (via description) batch_6a0492d4811c8190ad177b5d52aba66c completed May 13, 2026, 3:03 p.m.
Created at: April 10, 2026, 11:37 a.m.