Triple
T3593573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sears Canada |
E76082
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Kenmore |
E74426
|
NE FINISHED |
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: Kenmore | Statement: [Sears Canada, brand, Kenmore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenmore Context triple: [Sears Canada, brand, Kenmore]
-
A.
Kenmore
chosen
Kenmore is a long-standing American brand of home appliances, particularly known for its refrigerators, washers, dryers, and kitchen equipment sold through major retailers.
-
B.
Kenmore
Kenmore is a major Boston transit station and surrounding neighborhood hub that serves as a key access point to Fenway Park, Boston University, and the Kenmore Square area.
-
C.
Whirlpool
"Whirlpool" is a song by British singer-songwriter Seal, featured as a track on his debut album.
-
D.
Danby
Danby is a small rural village in North Yorkshire, England, known for its scenic setting within the North York Moors National Park.
-
E.
Danby
Danby is a small rural town in Tompkins County, New York, known for its scenic landscapes and proximity to the city of Ithaca.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad85d8042081908af94a04c410dec0 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc15bbbcc81908d6cf95f8e70c6ca |
completed | March 8, 2026, 6:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4030fab188190b8de1a4b4d625f00 |
completed | March 13, 2026, 12:29 p.m. |
Created at: March 8, 2026, 3:22 p.m.