Triple
T10205693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oscar Mayer |
E242186
|
entity |
| Predicate | notableEmployer |
P20563
|
FINISHED |
| Object | Oscar Mayer & Co. |
E242186
|
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: Oscar Mayer & Co. | Statement: [Oscar Mayer, notableEmployer, Oscar Mayer & Co.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oscar Mayer & Co. Context triple: [Oscar Mayer, notableEmployer, Oscar Mayer & Co.]
-
A.
Oscar Mayer
chosen
Oscar Mayer was a German-American entrepreneur best known for founding the Oscar Mayer meat and cold cut company, a major U.S. food brand.
-
B.
Hormel Foods Corporation
Hormel Foods Corporation is a major American food company best known for producing branded meat and packaged food products such as SPAM.
-
C.
Champion Foods
Champion Foods is a food manufacturing and distribution company owned by Ilitch Holdings, known for producing private-label and branded food products, particularly in the pizza and snack categories.
-
D.
Stouffer's
Stouffer's is a well-known American brand of frozen prepared meals and entrees owned by Nestlé.
-
E.
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.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d395f6298c8190a4a0ad9770f10e80 |
completed | April 6, 2026, 11:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f6e73a2881908563e9e6a02df944 |
completed | April 9, 2026, 12:46 a.m. |
Created at: April 6, 2026, 10:47 a.m.