Triple
T19245862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yorkton Film Festival |
E481252
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Golden Sheaf Awards |
—
|
NE NERFINISHED |
How this triple was built (3 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: Golden Sheaf Awards | Statement: [Yorkton Film Festival, knownFor, Golden Sheaf Awards]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Golden Sheaf Awards Context triple: [Yorkton Film Festival, knownFor, Golden Sheaf Awards]
-
A.
Jutra Award
The Jutra Award was a prestigious Canadian film honor recognizing excellence in Quebec cinema, particularly in acting, directing, and production.
-
B.
Canadian Screen Award
The Canadian Screen Award is a prestigious Canadian accolade recognizing excellence in film, television, and digital media production.
-
C.
MacIver Award
The MacIver Award is a distinguished sociology prize recognizing outstanding scholarly contributions to the field, once received by eminent sociologist Robert K. Merton.
-
D.
Canadian Film Award
The Canadian Film Award was a national honor recognizing excellence in Canadian cinema, serving as a precursor to the modern Genie and Canadian Screen Awards.
-
E.
Robert Award for Best Film
The Robert Award for Best Film is a top Danish film honor presented annually by the Danish Film Academy to recognize the year’s most outstanding feature film.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Golden Sheaf Awards Target entity description: The Golden Sheaf Awards are prestigious Canadian film and video awards presented at the Yorkton Film Festival, recognizing excellence in short-form and documentary production.
-
A.
Jutra Award
The Jutra Award was a prestigious Canadian film honor recognizing excellence in Quebec cinema, particularly in acting, directing, and production.
-
B.
Canadian Screen Award
The Canadian Screen Award is a prestigious Canadian accolade recognizing excellence in film, television, and digital media production.
-
C.
MacIver Award
The MacIver Award is a distinguished sociology prize recognizing outstanding scholarly contributions to the field, once received by eminent sociologist Robert K. Merton.
-
D.
Canadian Film Award
The Canadian Film Award was a national honor recognizing excellence in Canadian cinema, serving as a precursor to the modern Genie and Canadian Screen Awards.
-
E.
Robert Award for Best Film
The Robert Award for Best Film is a top Danish film honor presented annually by the Danish Film Academy to recognize the year’s most outstanding feature film.
- F. None of above. chosen
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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb2c34e88190a338e5a7ba906425 |
completed | April 20, 2026, 10:08 a.m. |
Created at: April 10, 2026, 1:27 p.m.