Triple

T14902706
Position Surface form Disambiguated ID Type / Status
Subject Washburn A Mill E360046 entity
Predicate predecessorOf P97 FINISHED
Object General Mills E763044 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 Mills | Statement: [Washburn A Mill, predecessorOf, General Mills]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: General Mills
Context triple: [Washburn A Mill, predecessorOf, General Mills]
  • A. General Mills chosen
    General Mills is a major American multinational food company known for producing popular brands of cereals, snacks, and packaged foods.
  • B. Kellogg Company
    Kellogg Company is a major American multinational food manufacturing company best known for its breakfast cereals and convenience foods.
  • C. Kraft Heinz
    Kraft Heinz is a major American multinational food and beverage company known for its wide portfolio of iconic packaged brands.
  • D. Pillsbury Company
    Pillsbury Company is a major American food company best known for its packaged baking products, refrigerated doughs, and iconic Doughboy mascot.
  • E. 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.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded60b24008190bd272c0d61329400 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72b4e4f88190af7e859d93dbbd28 completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 2:11 a.m.