Triple
T1292740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nestlé |
E27582
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object |
Nespresso
Nespresso is a global coffee brand known for its single-serve espresso machines and coffee capsules, marketed as a premium, convenient at-home café experience.
|
E73185
|
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: Nespresso | Statement: [Nestlé, hasSubsidiary, Nespresso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nespresso Context triple: [Nestlé, hasSubsidiary, Nespresso]
-
A.
Faema
Faema was a prominent professional Italian cycling team of the 1950s and 1960s, best known for sponsoring and supporting legendary riders such as Eddy Merckx.
-
B.
Lavazza
Lavazza is a major Italian coffee company renowned worldwide for its espresso blends and coffee products.
-
C.
Mr. Coffee
Mr. Coffee is a popular American brand best known for its automatic drip coffee makers and related coffee appliances for home use.
-
D.
Federico Caffè
Federico Caffè was an influential Italian economist and academic known for his work on welfare economics, Keynesian theory, and social justice in economic policy.
-
E.
Latte Pronto
Latte Pronto is the central protagonist of the work "Fool's Paradise," around whom the story's main events and conflicts revolve.
- 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: Nespresso Triple: [Nestlé, hasSubsidiary, Nespresso]
Generated description
Nespresso is a global coffee brand known for its single-serve espresso machines and coffee capsules, marketed as a premium, convenient at-home café experience.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nespresso Target entity description: Nespresso is a global coffee brand known for its single-serve espresso machines and coffee capsules, marketed as a premium, convenient at-home café experience.
-
A.
Faema
Faema was a prominent professional Italian cycling team of the 1950s and 1960s, best known for sponsoring and supporting legendary riders such as Eddy Merckx.
-
B.
Lavazza
chosen
Lavazza is a major Italian coffee company renowned worldwide for its espresso blends and coffee products.
-
C.
Mr. Coffee
Mr. Coffee is a popular American brand best known for its automatic drip coffee makers and related coffee appliances for home use.
-
D.
Federico Caffè
Federico Caffè was an influential Italian economist and academic known for his work on welfare economics, Keynesian theory, and social justice in economic policy.
-
E.
Latte Pronto
Latte Pronto is the central protagonist of the work "Fool's Paradise," around whom the story's main events and conflicts revolve.
- F. None of above.
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_69a496d4ec448190ad653b2590c46711 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0f09d5c81909e6dc036fe9c5b4a |
completed | March 1, 2026, 10:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acacbf0cf48190937f620900b08d3f |
completed | March 7, 2026, 10:54 p.m. |
| NEDg | Description generation | batch_69acad34fc008190a9c06be5cbe8e8c3 |
completed | March 7, 2026, 10:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69acadc3ceb48190a9d67c8e90034c49 |
completed | March 7, 2026, 10:59 p.m. |
Created at: March 1, 2026, 7:51 p.m.