Triple
T19519907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claude Jutra |
E488375
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Kamouraska |
—
|
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: Kamouraska | Statement: [Claude Jutra, notableWork, Kamouraska]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamouraska Context triple: [Claude Jutra, notableWork, Kamouraska]
-
A.
Kamouraska
chosen
Kamouraska is a celebrated historical novel by Canadian author Anne Hébert that fictionalizes a notorious 19th-century Quebec murder case through a psychologically intense, poetic narrative.
-
B.
Machias
Machias is a small coastal town in eastern Maine known for its historic role in the American Revolution and its wild blueberry industry.
-
C.
Wyandanch
Wyandanch is a hamlet in the town of Babylon in Suffolk County, New York, located on Long Island.
-
D.
Briollay
Briollay is a small commune in western France’s Maine-et-Loire department, situated at the confluence of the Loir and Sarthe rivers near Angers.
-
E.
Siasconset
Siasconset is a small, historic village on the eastern end of Nantucket Island in Massachusetts, known for its rose-covered cottages and scenic bluffs overlooking the Atlantic Ocean.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359feb808190ba94563831adc720 |
completed | April 20, 2026, 2:18 p.m. |
Created at: April 10, 2026, 1:40 p.m.