Triple
T3823816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Coffee |
E88636
|
entity |
| Predicate | hasCompetitor |
P1375
|
FINISHED |
| Object | Hamilton Beach |
E391049
|
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: Hamilton Beach | Statement: [Mr. Coffee, hasCompetitor, Hamilton Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamilton Beach Context triple: [Mr. Coffee, hasCompetitor, Hamilton Beach]
-
A.
Hamilton Beach
Hamilton Beach is a small residential neighborhood in the Howard Beach area of Queens, New York City, known for its waterfront location and proximity to Jamaica Bay.
-
B.
Hamilton Beach
chosen
Hamilton Beach is an American brand best known for manufacturing household appliances such as blenders, coffee makers, and other small kitchen devices.
-
C.
Whirlpool
"Whirlpool" is a song by British singer-songwriter Seal, featured as a track on his debut album.
-
D.
Bionaire
Bionaire is a home-environment appliance brand known for products like air purifiers, humidifiers, and heaters focused on improving indoor air quality and comfort.
-
E.
Danby
Danby is a small rural village in North Yorkshire, England, known for its scenic setting within the North York Moors National Park.
- 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_69aed9538cf881909d9ce8ca4ac7c18c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb6223808190aee0c15259eeeecd |
completed | March 9, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b503f75f6c8190b9af77ed212a2774 |
completed | March 14, 2026, 6:45 a.m. |
Created at: March 9, 2026, 3:17 p.m.