Triple
T8651786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kraft Foods |
E205116
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Oscar Mayer |
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 | Statement: [Kraft Foods, brand, Oscar Mayer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oscar Mayer Context triple: [Kraft Foods, brand, Oscar Mayer]
-
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.
Heinz
Heinz is a historic American food processing company best known for its ketchup and other condiments.
- 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_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. |
Created at: March 30, 2026, 6:29 p.m.