Triple

T18073564
Position Surface form Disambiguated ID Type / Status
Subject The Big Sombrero E432494 entity
Predicate starring P1507 FINISHED
Object John Kellogg NE NERFINISHED

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: John Kellogg | Statement: [The Big Sombrero, starring, John Kellogg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Kellogg
Context triple: [The Big Sombrero, starring, John Kellogg]
  • A. John Kellogg chosen
    John Kellogg was an American character actor known for his supporting roles in mid-20th-century films and television.
  • B. 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.
  • C. Albert Kellogg
    Albert Kellogg was a 19th-century American physician and pioneering botanist known for his early taxonomic work on the flora of California.
  • D. Will Keith Kellogg
    Will Keith Kellogg was an American industrialist and philanthropist best known for founding the Kellogg Company, a leading breakfast cereal manufacturer.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ccefcdc4819086d0b224731bfc4d completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.