Triple
T20215350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junya Watanabe |
E493605
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Canada Goose |
—
|
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: Canada Goose | Statement: [Junya Watanabe, collaboratedWith, Canada Goose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canada Goose Context triple: [Junya Watanabe, collaboratedWith, Canada Goose]
-
A.
Canada Goose
chosen
Canada Goose is a Canadian luxury outerwear brand best known for its high-end, down-filled parkas and cold-weather apparel.
-
B.
L.L.Bean
L.L.Bean is an American outdoor retail company best known for its durable apparel, footwear, and gear, as well as its flagship store and headquarters in Freeport, Maine.
-
C.
Helly Hansen
Helly Hansen is a Norwegian brand known for its professional-grade outdoor, sailing, and workwear apparel and gear.
-
D.
Barbour
Barbour was a zoologist who formally described the Zapata sparrow, a bird species endemic to Cuba.
-
E.
Eddie Bauer
Eddie Bauer is an American outdoor clothing and gear retailer known for its casual, adventure-oriented apparel and equipment.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ed8cc8c8190889ecadc702010d8 |
completed | April 20, 2026, 6:22 p.m. |
Created at: April 11, 2026, 11:38 p.m.