Triple
T9628743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Dowdeswell |
E232538
|
entity |
| Predicate | appointedBy |
P257
|
FINISHED |
| Object | David Johnston |
E543327
|
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: David Johnston | Statement: [Elizabeth Dowdeswell, appointedBy, David Johnston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Johnston Context triple: [Elizabeth Dowdeswell, appointedBy, David Johnston]
-
A.
David Johnston
chosen
David Johnston is a Canadian academic, author, and lawyer who served as the 28th Governor General of Canada from 2010 to 2017.
-
B.
David Johnston
David Johnston is a software developer and entrepreneur best known as a co-founder of Syntrillium Software, the company behind the popular audio editing program Cool Edit.
-
C.
Ian Telfer
Ian Telfer is a Canadian mining executive and philanthropist known for his leadership in the resource industry and major donations to higher education.
-
D.
Leslie Menzies
Leslie Menzies is an individual notable enough to be recognized as a prominent bearer of the surname Menzies.
-
E.
Geoffrey Palmer
Geoffrey Palmer is a New Zealand lawyer, academic, and politician who served as the country’s Prime Minister in the late 1980s.
- 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_69ca848793ec8190a93a12383a754dc0 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b00162481908f396f6b6e470d6c |
completed | April 1, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d17987e4008190a8d43641072a1c86 |
completed | April 4, 2026, 8:50 p.m. |
Created at: March 30, 2026, 8:10 p.m.