Triple
T18160550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diane Ford |
E434746
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Doug Ford |
—
|
NE NERFINISHED |
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: Doug Ford | Statement: [Diane Ford, child, Doug Ford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doug Ford Context triple: [Diane Ford, child, Doug Ford]
-
A.
Doug Ford
chosen
Doug Ford is a Canadian politician and leader of the Progressive Conservative Party who serves as the premier of Ontario.
-
B.
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.
-
C.
Emily Wynne
Emily Wynne is a fictional character featured in the British soap opera "The Courier."
-
D.
Kathleen Wynne
Kathleen Wynne is a Canadian politician who served as the 25th premier of Ontario and was the first woman and openly gay person to hold the office.
-
E.
Mike Harris
Mike Harris is an American musician best known as a member of the string band Old Crow Medicine Show, contributing to their modern revival of old-time and Americana music.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dec21e6081909070491f679c873c |
completed | April 19, 2026, 1:55 p.m. |
Created at: April 10, 2026, 10:30 a.m.