Triple
T21253324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Demers |
E523799
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Demers |
—
|
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: Demers | Statement: [Robert Demers, hasFamilyName, Demers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Demers Context triple: [Robert Demers, hasFamilyName, Demers]
-
A.
Demers
chosen
Demers is a French-origin surname commonly found in Canada and associated with various notable figures in politics, sports, and the arts.
-
B.
Tremblay
Tremblay is a common French-Canadian surname, particularly prevalent in Quebec and associated with numerous public figures in sports, politics, and the arts.
-
C.
Desmers
Desmers is a surname variant of Demers, a French-origin family name found primarily in Francophone regions such as Quebec.
-
D.
Dansereau
Dansereau is a French-origin surname notably associated with Canadian ecologist Pierre Dansereau.
-
E.
Turgeon
Turgeon is a French-origin surname borne by various notable individuals, including athletes, coaches, and public figures.
- 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_69e0b5146c108190adc9adb73e90abff |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735a0391881908e45909e939415a5 |
completed | April 21, 2026, 8:30 a.m. |
Created at: April 16, 2026, 3:57 p.m.