Triple

T16750902
Position Surface form Disambiguated ID Type / Status
Subject Olivia Cooke E407073 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: [Olivia Cooke, familyName, Cooke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cooke
Context triple: [Olivia 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. Baker–Nunn camera
    The Baker–Nunn camera is a specialized wide-field tracking telescope system developed in the mid-20th century for highly accurate photographic observation of artificial Earth satellites.
  • D. Optica
    Optica is a leading scientific society dedicated to advancing the study and application of optics and photonics worldwide.
  • E. 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.
  • 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_69d8838ffb088190a0b11149929006bf completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3aa271de48190b4a535408aeef734 completed April 18, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a522255c8190ab16d7ad233fcd3b completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:21 a.m.