Triple
T17702662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polytechnique |
E441346
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Maxim Gaudette |
—
|
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: Maxim Gaudette | Statement: [Polytechnique, starring, Maxim Gaudette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maxim Gaudette Context triple: [Polytechnique, starring, Maxim Gaudette]
-
A.
Maxim Gaudette
chosen
Maxim Gaudette is a Canadian actor known for his acclaimed performance in the film "Incendies" and his work in Quebec cinema and television.
-
B.
Adam Gaudette
Adam Gaudette is an American professional ice hockey forward known for his standout collegiate career at Northeastern University and subsequent play in the NHL.
-
C.
Sam Bouchard
Sam Bouchard is a character in the film "Body Double," involved in its suspenseful, voyeuristic thriller plot.
-
D.
Lucas Lavoie
Lucas Lavoie is an actor known for playing Gage Creed in the 2019 film adaptation of Stephen King’s horror novel "Pet Sematary."
-
E.
Maxx Crosby
Maxx Crosby is an American football defensive end in the NFL, known for his high motor, pass-rushing prowess, and leadership on the Las Vegas Raiders’ defense.
- 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.