Triple

T13723752
Position Surface form Disambiguated ID Type / Status
Subject John Esten Cooke E329101 entity
Predicate familyName P18 FINISHED
Object Cooke E65201 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: Cooke | Statement: [John Esten Cooke, familyName, Cooke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cooke
Context triple: [John Esten Cooke, familyName, Cooke]
  • A. Cooke chosen
    Cooke is a surname of English origin, often considered a variant spelling of "Cook."
  • B. Cooke Enterprises
    Cooke Enterprises was a private business conglomerate owned and operated by sports and media magnate Jack Kent Cooke, encompassing his diverse investments and ventures.
  • C. Optica
    Optica is a leading scientific society dedicated to advancing the study and application of optics and photonics worldwide.
  • D. Carl Zeiss Tessar
    Carl Zeiss Tessar is a classic high-quality photographic lens design, renowned for its sharpness and compact construction and widely used in cameras and mobile devices.
  • E. Bell & Howell
    Bell & Howell is an American company historically known for producing motion picture cameras, projectors, and other audiovisual and imaging equipment.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f52e748190b49c34e10ab8ac34 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a84a2ed481909005720b0531e585 completed May 3, 2026, 7:55 p.m.
Created at: April 9, 2026, 9:55 p.m.