Triple
T1292756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nestlé |
E27582
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object |
Stouffer's
Stouffer's is a well-known American brand of frozen prepared meals and entrees owned by Nestlé.
|
E147272
|
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: Stouffer's | Statement: [Nestlé, hasBrand, Stouffer's]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stouffer's Context triple: [Nestlé, hasBrand, Stouffer's]
-
A.
Reser’s Fine Foods
Reser’s Fine Foods is an American food company known for producing prepared salads, side dishes, and other refrigerated convenience foods for retail and foodservice markets.
-
B.
Snyder’s of Hanover
Snyder’s of Hanover is a popular American snack food company best known for its wide variety of pretzels and pretzel-based snacks.
-
C.
Pepperidge Farm
Pepperidge Farm is an American food company best known for its cookies, crackers, and baked goods such as Milano cookies and Goldfish crackers.
-
D.
Pacific Foods
Pacific Foods is a natural and organic food brand known for its soups, broths, and plant-based beverages.
-
E.
Good's Food to Go
Good's Food to Go is a casual quick-service dining location at Disney’s Old Key West Resort offering convenient grab-and-go meals and snacks for guests.
- 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: Stouffer's Triple: [Nestlé, hasBrand, Stouffer's]
Generated description
Stouffer's is a well-known American brand of frozen prepared meals and entrees owned by Nestlé.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stouffer's Target entity description: Stouffer's is a well-known American brand of frozen prepared meals and entrees owned by Nestlé.
-
A.
Reser’s Fine Foods
Reser’s Fine Foods is an American food company known for producing prepared salads, side dishes, and other refrigerated convenience foods for retail and foodservice markets.
-
B.
Snyder’s of Hanover
Snyder’s of Hanover is a popular American snack food company best known for its wide variety of pretzels and pretzel-based snacks.
-
C.
Pepperidge Farm
Pepperidge Farm is an American food company best known for its cookies, crackers, and baked goods such as Milano cookies and Goldfish crackers.
-
D.
Pacific Foods
Pacific Foods is a natural and organic food brand known for its soups, broths, and plant-based beverages.
-
E.
Good's Food to Go
Good's Food to Go is a casual quick-service dining location at Disney’s Old Key West Resort offering convenient grab-and-go meals and snacks for guests.
- 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_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.