Triple
T16876039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Violette Nozière |
E421300
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Yves Langlois |
—
|
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: Yves Langlois | Statement: [Violette Nozière, editedBy, Yves Langlois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yves Langlois Context triple: [Violette Nozière, editedBy, Yves Langlois]
-
A.
Yves Langlois
chosen
Yves Langlois is a film editor known for his work on the Academy Award–winning documentary short "The Lady in Number 6: Music Saved My Life."
-
B.
Bernard Langlais
Bernard Langlais was an American artist best known for his large-scale wooden sculptures and reliefs, often depicting animals and figures in a bold, rustic style.
-
C.
Michel Auclair
Michel Auclair was a French actor known for his work in mid-20th-century European and Hollywood films, often portraying suave or sophisticated characters.
-
D.
Yves Pagé
Yves Pagé is a Canadian politician from Quebec who has served as a member of the National Assembly.
-
E.
Yves Perron
Yves Perron is a Canadian politician known for serving as a Bloc Québécois Member of Parliament representing a Quebec riding in the House of Commons.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f646308190b5e277b5f51cd315 |
completed | April 18, 2026, 4:57 p.m. |
Created at: April 10, 2026, 5:29 a.m.