Triple

T15616849
Position Surface form Disambiguated ID Type / Status
Subject Dennis Cooke E375436 entity
Predicate hasFamilyName 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: [Dennis Cooke, hasFamilyName, Cooke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cooke
Context triple: [Dennis Cooke, hasFamilyName, 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e980b748190b43c0b650bf1e629 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56dd1e4c819090bf3cd4425b39b7 completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:13 a.m.