Triple

T18087696
Position Surface form Disambiguated ID Type / Status
Subject Simeon Daniel E432879 entity
Predicate educatedAt P5 FINISHED
Object Inns of Court School of Law — NE NERFINISHED

How this triple was built (3 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: Inns of Court School of Law | Statement: [Simeon Daniel, educatedAt, Inns of Court School of Law]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Inns of Court School of Law
Context triple: [Simeon Daniel, educatedAt, Inns of Court School of Law]
  • A. Inns of Court
    The Inns of Court are the four historic professional associations in London responsible for the training, admission, and regulation of barristers in England and Wales.
  • B. Guildford College of Law
    Guildford College of Law is a British legal education institution known for training future solicitors and barristers, including prominent figures such as London mayor Sadiq Khan.
  • C. UCL Judicial Institute
    The UCL Judicial Institute is a specialist research and policy centre at University College London dedicated to the study, training, and improvement of the judiciary and judicial systems.
  • D. Faculty of Laws, University College London
    The Faculty of Laws at University College London is a leading UK law school renowned for its research-intensive legal education and influential contributions to legal scholarship and policy.
  • E. Faculty of Law, University of Cambridge
    The Faculty of Law at the University of Cambridge is one of the world’s leading law schools, renowned for its rigorous legal education, influential scholarship, and long-standing academic tradition.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Inns of Court School of Law
Target entity description: The Inns of Court School of Law was a leading professional law school in London that historically trained barristers for practice in England and Wales.
  • A. Inns of Court
    The Inns of Court are the four historic professional associations in London responsible for the training, admission, and regulation of barristers in England and Wales.
  • B. Guildford College of Law
    Guildford College of Law is a British legal education institution known for training future solicitors and barristers, including prominent figures such as London mayor Sadiq Khan.
  • C. UCL Judicial Institute
    The UCL Judicial Institute is a specialist research and policy centre at University College London dedicated to the study, training, and improvement of the judiciary and judicial systems.
  • D. Faculty of Laws, University College London
    The Faculty of Laws at University College London is a leading UK law school renowned for its research-intensive legal education and influential contributions to legal scholarship and policy.
  • E. Faculty of Law, University of Cambridge
    The Faculty of Law at the University of Cambridge is one of the world’s leading law schools, renowned for its rigorous legal education, influential scholarship, and long-standing academic tradition.
  • F. None of above. chosen

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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dd16234c8190b547e893a829d6c5 completed April 19, 2026, 1:48 p.m.
Created at: April 10, 2026, 10:27 a.m.