Triple

T3984892
Position Surface form Disambiguated ID Type / Status
Subject Will Keith Kellogg E86846 entity
Predicate familyName P18 FINISHED
Object Kellogg E6256 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: Kellogg | Statement: [Will Keith Kellogg, familyName, Kellogg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kellogg
Context triple: [Will Keith Kellogg, familyName, Kellogg]
  • A. Kellogg Company
    Kellogg Company is a major American multinational food manufacturing company best known for its breakfast cereals and convenience foods.
  • B. Postum Cereal Company
    Postum Cereal Company was an American food manufacturer best known as the predecessor to General Foods and for producing popular breakfast cereals and the Postum coffee substitute.
  • C. Kraft chosen
    Kraft is a prominent American surname most widely associated with billionaire businessman and New England Patriots owner Robert Kraft.
  • 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. Pepperidge Farm
    Pepperidge Farm is an American food company best known for its cookies, crackers, and baked goods such as Milano cookies and Goldfish crackers.
  • 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_69aed93fd9d4819085d3b2137d2346cb completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9dfaf28819081b547836d79b889 completed March 9, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5402bbe208190947321353c309c98 completed March 14, 2026, 11:02 a.m.
Created at: March 9, 2026, 3:33 p.m.