Triple

T19691821
Position Surface form Disambiguated ID Type / Status
Subject V8 Energy E472852 entity
Predicate parentCompany P254 FINISHED
Object Campbell Soup Company NE NERFINISHED

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: Campbell Soup Company | Statement: [V8 Energy, parentCompany, Campbell Soup Company]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Campbell Soup Company
Context triple: [V8 Energy, parentCompany, Campbell Soup Company]
  • A. Campbell Soup Company chosen
    Campbell Soup Company is a major American food manufacturer best known for its canned soups and iconic red-and-white branding.
  • B. Kraft Heinz
    Kraft Heinz is a major American multinational food and beverage company known for its wide portfolio of iconic packaged brands.
  • C. Kraft Foods
    Kraft Foods is a major American food and beverage company known for producing a wide range of packaged grocery products and iconic brands such as Kraft cheese and Oscar Mayer.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e64210cddc8190836faa2996a44457 completed April 20, 2026, 3:11 p.m.
Created at: April 10, 2026, 1:46 p.m.