Triple
T20887290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Demers |
E514316
|
entity |
| Predicate | nameInLatinAlphabet |
P22444
|
FINISHED |
| Object | Jean 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: Jean Demers | Statement: [Jean Demers, nameInLatinAlphabet, Jean Demers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Demers Context triple: [Jean Demers, nameInLatinAlphabet, Jean Demers]
-
A.
Jean Demers
chosen
Jean Demers is a person notable enough to be recognized as a significant bearer of the surname Demers.
-
B.
Jean-Pierre Demers
Jean-Pierre Demers is a relatively obscure individual whose specific public achievements or biographical details are not widely documented.
-
C.
Luc Demers
Luc Demers is a person notable enough to be specifically cited as a bearer of the surname Demers, though detailed public information about his life or achievements is not widely documented.
-
D.
Louis-Philippe Demers
Louis-Philippe Demers was a Canadian lawyer and politician who served as a Liberal member of the House of Commons in the early 20th century.
-
E.
Dominique Demers
Dominique Demers is a Canadian author and former journalist best known for her popular children's and young adult books, including the "Mlle Charlotte" series.
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6d05acf848190a2bbbf33377f23d3 |
completed | April 21, 2026, 1:18 a.m. |
Created at: April 16, 2026, 12:46 p.m.