Triple

T8651820
Position Surface form Disambiguated ID Type / Status
Subject Kraft Foods E205116 entity
Predicate notableFor P22 FINISHED
Object Oscar Mayer meats 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 meats | Statement: [Kraft Foods, notableFor, Oscar Mayer meats]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oscar Mayer meats
Context triple: [Kraft Foods, notableFor, Oscar Mayer meats]
  • 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. Stouffer's
    Stouffer's is a well-known American brand of frozen prepared meals and entrees owned by Nestlé.
  • C. 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.
  • D. 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.
  • 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_69cef368f6f081908dcfa2f28e476b02 completed April 2, 2026, 10:53 p.m.
Created at: March 30, 2026, 6:29 p.m.