Triple
T8651794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kraft Foods |
E205116
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
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.
|
E748416
|
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: Kraft Macaroni & Cheese | Statement: [Kraft Foods, brand, Kraft Macaroni & Cheese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kraft Macaroni & Cheese Context triple: [Kraft Foods, brand, Kraft Macaroni & Cheese]
-
A.
Maggi
Maggi is a popular global food brand best known for its instant noodles, seasonings, and convenience products.
-
B.
Kraft
Kraft is a prominent American surname most widely associated with billionaire businessman and New England Patriots owner Robert Kraft.
-
C.
Stouffer's
Stouffer's is a well-known American brand of frozen prepared meals and entrees owned by Nestlé.
-
D.
Macaroni
Macaroni was a notable 19th-century British Thoroughbred racehorse and influential sire in bloodlines of classic winners.
-
E.
Prego
Prego is a popular American brand of pasta sauces known for its thick, tomato-based varieties and wide range of flavors.
- 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: Kraft Macaroni & Cheese Triple: [Kraft Foods, brand, Kraft Macaroni & Cheese]
Generated description
Kraft Macaroni & Cheese is a popular boxed macaroni pasta and powdered cheese dinner known for its quick preparation and distinctive creamy, cheesy flavor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kraft Macaroni & Cheese Target entity description: Kraft Macaroni & Cheese is a popular boxed macaroni pasta and powdered cheese dinner known for its quick preparation and distinctive creamy, cheesy flavor.
-
A.
Maggi
Maggi is a popular global food brand best known for its instant noodles, seasonings, and convenience products.
-
B.
Kraft
Kraft is a prominent American surname most widely associated with billionaire businessman and New England Patriots owner Robert Kraft.
-
C.
Stouffer's
Stouffer's is a well-known American brand of frozen prepared meals and entrees owned by Nestlé.
-
D.
Macaroni
Macaroni was a notable 19th-century British Thoroughbred racehorse and influential sire in bloodlines of classic winners.
-
E.
Prego
Prego is a popular American brand of pasta sauces known for its thick, tomato-based varieties and wide range of flavors.
- 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_69ca834e56848190abb0eeaec9dedd32 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc484051b48190b1d0cc63426c204d |
completed | March 31, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ceccc95b588190b5e44c73cf93d18b |
completed | April 2, 2026, 8:08 p.m. |
| NEDg | Description generation | batch_69cece17c378819082069c5c5c7bb048 |
completed | April 2, 2026, 8:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cecf06a4248190878623bb62d332b1 |
completed | April 2, 2026, 8:18 p.m. |
Created at: March 30, 2026, 6:29 p.m.