Triple
T10190811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osgoode Hall Law School |
E238026
|
entity |
| Predicate | notableAlumnus |
P304
|
FINISHED |
| Object | John Tory |
E58154
|
NE FINISHED |
How this triple was built (2 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 Tory | Statement: [Osgoode Hall Law School, notableAlumnus, John Tory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Tory Context triple: [Osgoode Hall Law School, notableAlumnus, John Tory]
-
A.
John Tory
chosen
John Tory is a Canadian politician and broadcaster who served as the 65th mayor of Toronto from 2014 to 2023.
-
B.
Hazel McCallion
Hazel McCallion was a long-serving and influential mayor of Mississauga, Ontario, widely known for her decisive leadership and the nickname "Hurricane Hazel."
-
C.
Rob Ford
Rob Ford was a controversial Canadian politician known for his tumultuous tenure as Toronto’s mayor, marked by populist policies, substance abuse scandals, and intense media scrutiny.
-
D.
Wab Kinew
Wab Kinew is a Canadian politician, author, and former broadcaster who became the first First Nations premier of Manitoba.
-
E.
Doug Ford
Doug Ford is a Canadian politician and leader of the Progressive Conservative Party who serves as the premier of Ontario.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca84de1b208190bf17bb305b002605 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cded7eb1148190a2d175163685e233 |
completed | April 2, 2026, 4:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317c0c22881909ed388721e80bafd |
completed | April 6, 2026, 2:17 a.m. |
Created at: March 30, 2026, 9:13 p.m.