Triple
T19218256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Nouba |
E480541
|
entity |
| Predicate | costumeDesigner |
P184
|
FINISHED |
| Object | Dominique Lemieux |
—
|
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: Dominique Lemieux | Statement: [La Nouba, costumeDesigner, Dominique Lemieux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dominique Lemieux Context triple: [La Nouba, costumeDesigner, Dominique Lemieux]
-
A.
Dominique Lemieux
chosen
Dominique Lemieux is a renowned costume designer best known for her imaginative and theatrical work on major stage productions, including Cirque du Soleil shows.
-
B.
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.
-
C.
Yvon Demers
Yvon Demers is a Canadian politician known for serving as a member of the National Assembly of Quebec.
-
D.
Dominique Fortin
Dominique Fortin is a film editor best known for her work on major feature films, including the James Bond movie "Tomorrow Never Dies."
-
E.
Rheaume Vachon
Rheaume Vachon is a notable individual distinguished enough to be recognized as a prominent bearer of the Vachon surname.
- 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa3c552c8190b22844e5b7adfc50 |
completed | April 20, 2026, 10:04 a.m. |
Created at: April 10, 2026, 1:23 p.m.