Triple

T10207263
Position Surface form Disambiguated ID Type / Status
Subject Jell-O E242231 entity
Predicate previousOwner P347 FINISHED
Object General Foods E242232 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: General Foods | Statement: [Jell-O, previousOwner, General Foods]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: General Foods
Context triple: [Jell-O, previousOwner, General Foods]
  • A. General Foods chosen
    General Foods was a major American processed food company known for popular consumer brands and extensive radio and television sponsorships in the mid-20th century.
  • B. General Mills
    General Mills is a major American multinational food company known for producing popular brands of cereals, snacks, and packaged foods.
  • 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. Kraft
    Kraft is a prominent American surname most widely associated with billionaire businessman and New England Patriots owner Robert Kraft.
  • E. Kellogg Company
    Kellogg Company is a major American multinational food manufacturing company best known for its breakfast cereals and convenience foods.
  • 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_69d395f8e2b881909c51f8210f09cd4f completed April 6, 2026, 11:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d652c13d748190908d1869c60e84c3 completed April 8, 2026, 1:06 p.m.
Created at: April 6, 2026, 10:55 a.m.