Triple
T7368297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rohan Marley |
E169925
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | Marley Coffee |
E659762
|
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: Marley Coffee | Statement: [Rohan Marley, founded, Marley Coffee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marley Coffee Context triple: [Rohan Marley, founded, Marley Coffee]
-
A.
Marley Coffee
chosen
Marley Coffee is an organic, ethically sourced coffee company inspired by the legacy and values of the Marley family and co-founded by Rohan Marley.
-
B.
Sandy Coffee
Sandy Coffee is a musical artist known for appearing on the remix of Ludacris's song "Splash Waterfalls."
-
C.
Kicking Horse Coffee
Kicking Horse Coffee is a Canadian coffee company known for its organic, fair-trade whole-bean coffees and bold branding.
-
D.
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.
-
E.
Blue Pod Coffee Co.
Blue Pod Coffee Co. is an Australian coffee company and pod supplier owned by Italian coffee giant Lavazza, providing espresso machines and coffee solutions to offices and businesses.
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f17fe278819094eb1dd886583c6a |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c810d9717c819099122cd64f9268fc |
completed | March 28, 2026, 5:33 p.m. |
Created at: March 27, 2026, 3:07 p.m.