Triple
T3468118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lavazza |
E73185
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object |
Kicking Horse Coffee
Kicking Horse Coffee is a Canadian coffee company known for its organic, fair-trade whole-bean coffees and bold branding.
|
E361828
|
NE FINISHED |
How this triple was built (4 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: Kicking Horse Coffee | Statement: [Lavazza, hasSubsidiary, Kicking Horse Coffee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kicking Horse Coffee Context triple: [Lavazza, hasSubsidiary, Kicking Horse Coffee]
-
A.
Seattle’s Best Coffee
Seattle’s Best Coffee is a U.S.-based coffee retailer and brand known for its approachable, smooth coffee offerings and ownership by Starbucks.
-
B.
Blue Mountains coffee
Blue Mountains coffee is a highly prized Jamaican coffee variety renowned for its mild flavor, smooth body, and low bitterness, grown at high elevations in the Blue Mountains region.
-
C.
Ronto Roasters
Ronto Roasters is a quick-service food stand in the Star Wars: Galaxy’s Edge themed land, known for its grilled wraps and immersive, market-style theming.
-
D.
Kona Cafe
Kona Cafe is a casual, Polynesian-themed restaurant at Walt Disney World known for its island-inspired cuisine and relaxed atmosphere.
-
E.
Peet
Peet is a surname most notably associated with American actress Amanda Peet.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kicking Horse Coffee Triple: [Lavazza, hasSubsidiary, Kicking Horse Coffee]
Generated description
Kicking Horse Coffee is a Canadian coffee company known for its organic, fair-trade whole-bean coffees and bold branding.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kicking Horse Coffee Target entity description: Kicking Horse Coffee is a Canadian coffee company known for its organic, fair-trade whole-bean coffees and bold branding.
-
A.
Seattle’s Best Coffee
Seattle’s Best Coffee is a U.S.-based coffee retailer and brand known for its approachable, smooth coffee offerings and ownership by Starbucks.
-
B.
Blue Mountains coffee
Blue Mountains coffee is a highly prized Jamaican coffee variety renowned for its mild flavor, smooth body, and low bitterness, grown at high elevations in the Blue Mountains region.
-
C.
Ronto Roasters
Ronto Roasters is a quick-service food stand in the Star Wars: Galaxy’s Edge themed land, known for its grilled wraps and immersive, market-style theming.
-
D.
Kona Cafe
Kona Cafe is a casual, Polynesian-themed restaurant at Walt Disney World known for its island-inspired cuisine and relaxed atmosphere.
-
E.
Peet
Peet is a surname most notably associated with American actress Amanda Peet.
- F. None of above. chosen
Provenance (5 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_69ad85b224d481908ff8be51338d24ff |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb11ec5881908347bf92883a25ee |
completed | March 8, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3680763608190acdd146dc7c0b239 |
completed | March 13, 2026, 1:27 a.m. |
| NEDg | Description generation | batch_69b36c4d77448190abe198ec9d48597d |
completed | March 13, 2026, 1:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b36cca06d48190bc72ad2e9bd9bdb5 |
completed | March 13, 2026, 1:47 a.m. |
Created at: March 8, 2026, 3:17 p.m.