Triple
T5607701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stouffer's |
E147272
|
entity |
| Predicate | notableProduct |
P1448
|
FINISHED |
| Object | Stouffer's Lasagna with Meat & Sauce |
E147272
|
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: Stouffer's Lasagna with Meat & Sauce | Statement: [Stouffer's, notableProduct, Stouffer's Lasagna with Meat & Sauce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stouffer's Lasagna with Meat & Sauce Context triple: [Stouffer's, notableProduct, Stouffer's Lasagna with Meat & Sauce]
-
A.
Lasagne
Lasagne is a lightweight Python library for building and training neural networks, designed to run on top of the Theano deep learning framework.
-
B.
Stouffer's
chosen
Stouffer's is a well-known American brand of frozen prepared meals and entrees owned by Nestlé.
-
C.
Meatballs
Meatballs is a 1979 comedy film that helped establish Bill Murray as a major comedic star through his role as an irreverent summer camp counselor.
-
D.
Prego
Prego is a popular American brand of pasta sauces known for its thick, tomato-based varieties and wide range of flavors.
-
E.
Swanson Frozen Dinners
Swanson Frozen Dinners are a line of pre-packaged, heat-and-serve frozen meals that helped popularize the TV dinner concept in mid-20th-century America.
- 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_69c0090500f881908374285baf0ac46f |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020fd1b2c81908da154f7e11b90d8 |
completed | March 22, 2026, 5:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c02878aad8819082d2c8f038b79bc7 |
completed | March 22, 2026, 5:35 p.m. |
Created at: March 22, 2026, 3:39 p.m.