Triple
T5160383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Splash Waterfalls |
E116420
|
entity |
| Predicate | featuresOnRemix |
P9639
|
FINISHED |
| Object |
Sandy Coffee
Sandy Coffee is a musical artist known for appearing on the remix of Ludacris's song "Splash Waterfalls."
|
E499457
|
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: Sandy Coffee | Statement: [Splash Waterfalls, featuresOnRemix, Sandy Coffee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandy Coffee Context triple: [Splash Waterfalls, featuresOnRemix, Sandy Coffee]
-
A.
Kicking Horse Coffee
Kicking Horse Coffee is a Canadian coffee company known for its organic, fair-trade whole-bean coffees and bold branding.
-
B.
Peet
Peet is a surname most notably associated with American actress Amanda Peet.
-
C.
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.
-
D.
Claire Coffee
Claire Coffee is an American actress best known for her role as Adalind Schade on the television series "Grimm."
-
E.
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.
- 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: Sandy Coffee Triple: [Splash Waterfalls, featuresOnRemix, Sandy Coffee]
Generated description
Sandy Coffee is a musical artist known for appearing on the remix of Ludacris's song "Splash Waterfalls."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sandy Coffee Target entity description: Sandy Coffee is a musical artist known for appearing on the remix of Ludacris's song "Splash Waterfalls."
-
A.
Kicking Horse Coffee
Kicking Horse Coffee is a Canadian coffee company known for its organic, fair-trade whole-bean coffees and bold branding.
-
B.
Peet
Peet is a surname most notably associated with American actress Amanda Peet.
-
C.
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.
-
D.
Claire Coffee
Claire Coffee is an American actress best known for her role as Adalind Schade on the television series "Grimm."
-
E.
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.
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd790613bc819084765cd4ea648dc9 |
completed | March 20, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed92b3ab48190900cf5c246dba433 |
completed | March 21, 2026, 5:45 p.m. |
| NEDg | Description generation | batch_69beda3bfee08190a6e1d8b06739cade |
completed | March 21, 2026, 5:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69beda93175481908c79010c7fe6897e |
completed | March 21, 2026, 5:51 p.m. |
Created at: March 20, 2026, 1:44 p.m.