Triple
T22001086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Payette |
E543326
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Julie Payette |
—
|
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: Julie Payette | Statement: [Payette, hasNotableBearer, Julie Payette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julie Payette Context triple: [Payette, hasNotableBearer, Julie Payette]
-
A.
Julie Payette
chosen
Julie Payette is a Canadian engineer, former astronaut, and public servant who served as the 29th Governor General of Canada.
-
B.
Roberta Bondar
Roberta Bondar is a Canadian neurologist, astronaut, and photographer who became the first Canadian woman to travel into space.
-
C.
Julie Pomerleau
Julie Pomerleau is a writer and creative contributor known for her work with the speculative fiction project *Upgrade & Afterlife*.
-
D.
Allison Schmitt
Allison Schmitt is an American freestyle swimmer and multiple Olympic medalist known for her performances at the 2012 London Games and her long-term training under coach Bob Bowman.
-
E.
Jocelyne Larocque
Jocelyne Larocque is a Canadian ice hockey defenceman and Olympic gold medallist known for her long-standing role with the Canadian national women’s team.
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1276ae4e0819097bf1b978451f776 |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 16, 2026, 8:20 p.m.