Triple

T5757357
Position Surface form Disambiguated ID Type / Status
Subject Kellogg College, Oxford E127002 entity
Predicate namedAfter P63 FINISHED
Object Will Keith Kellogg E86846 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: Will Keith Kellogg | Statement: [Kellogg College, Oxford, namedAfter, Will Keith Kellogg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Will Keith Kellogg
Context triple: [Kellogg College, Oxford, namedAfter, Will Keith Kellogg]
  • A. Will Keith Kellogg chosen
    Will Keith Kellogg was an American industrialist and philanthropist best known for founding the Kellogg Company, a leading breakfast cereal manufacturer.
  • B. John Kellogg
    John Kellogg was an American character actor known for his supporting roles in mid-20th-century films and television.
  • C. C. W. Post
    C. W. Post was an American industrialist and breakfast cereal pioneer who founded the Postum Cereal Company, a forerunner of Post Consumer Brands.
  • D. Jerome Kellogg
    Jerome Kellogg was a physicist known as a notable student of Nobel laureate Isidor Isaac Rabi.
  • E. John Harvey Kellogg
    John Harvey Kellogg was an American medical doctor, nutritionist, and health reformer best known for directing the Battle Creek Sanitarium and co-inventing corn flakes.
  • 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_69c00833a3fc81908f4bc29ed011b7a6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029084e108190988f1b5f38254007 completed March 22, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e47c1788190b5883df385475237 completed March 22, 2026, 11:41 p.m.
Created at: March 22, 2026, 3:49 p.m.