Triple
T22450958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Squirrely Dan |
E554986
|
entity |
| Predicate | hasNationality |
P2
|
FINISHED |
| Object | Canadian |
—
|
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: Canadian | Statement: [Squirrely Dan, hasNationality, Canadian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canadian Context triple: [Squirrely Dan, hasNationality, Canadian]
-
A.
CANADIAN
CANADIAN was the radio callsign used by Canadian Airlines for its commercial flight operations.
-
B.
Canadians
chosen
Canadians are the citizens and permanent residents of Canada, a diverse North American country known for its multicultural society, bilingual heritage, and strong social institutions.
-
C.
Canadian cuisine
Canadian cuisine is a diverse culinary tradition that blends Indigenous, French, British, and multicultural influences, known for regional specialties like poutine, maple syrup–based dishes, and iconic snacks and pastries.
-
D.
Canada
Canada is a large North American country known for its vast natural landscapes, bilingual English-French heritage, and stable parliamentary democracy.
-
E.
European Canadians
European Canadians are Canadian citizens or residents whose ancestry originates from various countries across Europe, encompassing a wide range of cultural, linguistic, and historical backgrounds.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4ba6a88190a0a79e2c20fa8c08 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 16, 2026, 8:48 p.m.