Triple
T7368298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rohan Marley |
E169925
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Marley Coffee brand |
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 brand | Statement: [Rohan Marley, notableWork, Marley Coffee brand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marley Coffee brand Context triple: [Rohan Marley, notableWork, Marley Coffee brand]
-
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.
Coffee-Mate
Coffee-Mate is a popular non-dairy coffee creamer brand known for its wide variety of flavored and powdered creamers used to enhance coffee.
-
D.
Nescafé
Nescafé is a globally popular brand of instant coffee and related coffee products owned by Nestlé.
-
E.
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.
- 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_69c81ec60d8481908e1e94ad87529a51 |
completed | March 28, 2026, 6:32 p.m. |
Created at: March 27, 2026, 3:07 p.m.