Triple
T12452207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knorr |
E297557
|
entity |
| Predicate | notableProduct |
P1448
|
FINISHED |
| Object | Knorr Cup-a-Soup |
E297557
|
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: Knorr Cup-a-Soup | Statement: [Knorr, notableProduct, Knorr Cup-a-Soup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Knorr Cup-a-Soup Context triple: [Knorr, notableProduct, Knorr Cup-a-Soup]
-
A.
Maggi
Maggi is a popular global food brand best known for its instant noodles, seasonings, and convenience products.
-
B.
Campbell Soup Company
Campbell Soup Company is a major American food manufacturer best known for its canned soups and iconic red-and-white branding.
-
C.
Knorr
chosen
Knorr is a global food brand known for its soups, seasonings, bouillon, and ready-made meal products.
-
D.
Heinz Boxes
Heinz Boxes is an artwork by Andy Warhol that, like his Brillo Boxes, consists of painted wooden replicas of commercial Heinz packaging, exploring themes of consumerism and mass production in art.
-
E.
Kraft Macaroni & Cheese
Kraft Macaroni & Cheese is a popular boxed macaroni pasta and powdered cheese dinner known for its quick preparation and distinctive creamy, cheesy flavor.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d9fa5f0819080ca9f6efa212c59 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f16e87c8190b7e9f61561ae865a |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:56 p.m.