Triple

T6340916
Position Surface form Disambiguated ID Type / Status
Subject Carol Vorderman E142622 entity
Predicate birthName P65 FINISHED
Object Carol Jean Vorderman E142622 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: Carol Jean Vorderman | Statement: [Carol Vorderman, birthName, Carol Jean Vorderman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carol Jean Vorderman
Context triple: [Carol Vorderman, birthName, Carol Jean Vorderman]
  • A. Carol Vorderman chosen
    Carol Vorderman is a British media personality and television presenter best known for co-hosting the game show "Countdown" for over two decades.
  • B. Sue Lawley
    Sue Lawley is a British broadcaster and journalist best known for her long-running role as host of the BBC radio programme Desert Island Discs.
  • C. Sally Davies
    Sally Davies is a prominent British physician and academic who served as the first female Chief Medical Officer for England and has been a leading voice on public health and antimicrobial resistance.
  • D. Julie Marsden
    Julie Marsden is the strong-willed, rebellious Southern belle portrayed by Bette Davis in the 1938 film "Jezebel."
  • E. Gillian Siddall
    Gillian Siddall is a Canadian academic and university administrator who serves as president of Lakehead University.
  • 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_69c008d5ab108190b346c465696824a9 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0674311388190bb069a07a7ff60ef completed March 22, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d4656f48190a4725fdeb2dd255d completed March 27, 2026, 7:09 a.m.
Created at: March 22, 2026, 4:30 p.m.