Triple

T7604873
Position Surface form Disambiguated ID Type / Status
Subject Sidney Sussex College, Cambridge E180076 entity
Predicate hasNotableAlumnus P51 FINISHED
Object Carol 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 Vorderman | Statement: [Sidney Sussex College, Cambridge, hasNotableAlumnus, Carol Vorderman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carol Vorderman
Context triple: [Sidney Sussex College, Cambridge, hasNotableAlumnus, Carol 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. Edwina Jean Vorderman
    Edwina Jean Vorderman is the mother of British television presenter and former Countdown co-host Carol Vorderman.
  • C. Denise Miller
    Denise Miller is an American actress best known for her television work in the late 1970s and early 1980s, including prominent roles in sitcoms.
  • D. Hannah Fry
    Hannah Fry is a British mathematician, author, and broadcaster known for popularizing mathematics and data science through books, documentaries, and public lectures.
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9fbd1408190b721bf016f997c7b completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86853e1fc8190b16cdf779057c804 completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:54 p.m.