Triple
T17702679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polytechnique |
E441346
|
entity |
| Predicate | portrays |
P264
|
FINISHED |
| Object | Marc Lépine |
—
|
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: Marc Lépine | Statement: [Polytechnique, portrays, Marc Lépine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marc Lépine Context triple: [Polytechnique, portrays, Marc Lépine]
-
A.
Marc Lépine
chosen
Marc Lépine was a Canadian mass murderer who killed 14 women in the 1989 antifeminist attack at Montreal’s École Polytechnique.
-
B.
Stanislas Lépine
Stanislas Lépine was a 19th-century French painter known for his quiet, atmospheric urban and river landscapes of Paris, often associated with the Impressionist movement.
-
C.
Jean Lépine
Jean Lépine is a cinematographer known for his work on the film "One Christmas."
-
D.
Christian Lépine
Christian Lépine is a Canadian Roman Catholic prelate who serves as the Archbishop of Montreal.
-
E.
François Damiens
François Damiens is a Belgian actor and comedian known for his hidden-camera pranks and roles in French-language comedies and dramas.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4729528b88190bd8a104f6f6d4e69 |
completed | April 19, 2026, 6:13 a.m. |
Created at: April 10, 2026, 10:05 a.m.