Triple

T10840203
Position Surface form Disambiguated ID Type / Status
Subject Frank X. Leyendecker E255863 entity
Predicate notableClient P7186 FINISHED
Object Kellogg's E251813 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's | Statement: [Frank X. Leyendecker, notableClient, Kellogg's]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kellogg's
Context triple: [Frank X. Leyendecker, notableClient, Kellogg's]
  • A. Kellogg Company chosen
    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. General Mills
    General Mills is a major American multinational food company known for producing popular brands of cereals, snacks, and packaged foods.
  • D. Quaker Oats
    Quaker Oats is a well-known American food brand specializing in oatmeal and other grain-based products.
  • E. Pillsbury Company
    Pillsbury Company is a major American food company best known for its packaged baking products, refrigerated doughs, and iconic Doughboy mascot.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7470204548190ba0c724dd9367712 completed April 9, 2026, 6:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb146f04881909f5636e7d0c20b77 completed April 14, 2026, 9:27 p.m.
Created at: April 8, 2026, 9:19 p.m.