Triple
T7203814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coffee-Mate |
E148614
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Coffee-Mate Natural Bliss |
E148614
|
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: Coffee-Mate Natural Bliss | Statement: [Coffee-Mate, hasVariant, Coffee-Mate Natural Bliss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coffee-Mate Natural Bliss Context triple: [Coffee-Mate, hasVariant, Coffee-Mate Natural Bliss]
-
A.
Coffee-Mate
chosen
Coffee-Mate is a popular non-dairy coffee creamer brand known for its wide variety of flavored and powdered creamers used to enhance coffee.
-
B.
Sandy Coffee
Sandy Coffee is a musical artist known for appearing on the remix of Ludacris's song "Splash Waterfalls."
-
C.
Nescafé
Nescafé is a globally popular brand of instant coffee and related coffee products owned by Nestlé.
-
D.
Café au Lait
Café au Lait is one of the short, conversational vignettes in Jim Jarmusch’s film "Coffee and Cigarettes," featuring characters chatting over coffee in a minimalist, black-and-white setting.
-
E.
Starbucks Refreshers
Starbucks Refreshers are a line of lightly caffeinated, fruit-flavored beverages made with green coffee extract and sold at Starbucks locations and in ready-to-drink formats.
- 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_69c687e8cf188190b5f3ecffd681f04e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e94bfb2c81909ab492757435fce4 |
completed | March 27, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802a38b608190bb87dd9af4fd3ef5 |
completed | March 28, 2026, 4:32 p.m. |
Created at: March 27, 2026, 2:52 p.m.