Triple

T20022803
Position Surface form Disambiguated ID Type / Status
Subject Gresham College E494903 entity
Predicate hasNotableProfessor P13831 FINISHED
Object Jeremy Black NE NERFINISHED

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: Jeremy Black | Statement: [Gresham College, hasNotableProfessor, Jeremy Black]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeremy Black
Context triple: [Gresham College, hasNotableProfessor, Jeremy Black]
  • A. Jeremy Black chosen
    Jeremy Black is a British historian renowned for his prolific scholarship on military history, international relations, and the history of warfare.
  • B. David A. Black
    David A. Black is a Ruby programmer, author, and educator best known for his influential books and contributions to the Ruby community.
  • C. David Blackman
    David Blackman is a film and television producer known for his executive production work on music-related documentaries and projects.
  • D. David L. Black
    David L. Black is a computer scientist and networking expert known for his contributions to Internet standards, including work on early congestion control mechanisms in TCP/IP.
  • E. John Blackmore
    John Blackmore was the father of Victorian novelist Richard Doddridge Blackmore, best known as the author of "Lorna Doone."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66288fc18819083833b55c5e069a6 completed April 20, 2026, 5:29 p.m.
Created at: April 11, 2026, 3:35 p.m.