Triple

T19865539
Position Surface form Disambiguated ID Type / Status
Subject Helena Kennedy E477379 entity
Predicate memberOf P10 FINISHED
Object Gray's Inn 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: Gray's Inn | Statement: [Helena Kennedy, memberOf, Gray's Inn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gray's Inn
Context triple: [Helena Kennedy, memberOf, Gray's Inn]
  • A. Gray's Inn chosen
    Gray's Inn is one of the four historic Inns of Court in London, serving as a professional association and training institution for barristers in England and Wales.
  • B. Middle Temple
    Middle Temple is one of the four historic Inns of Court in London, serving as a professional association and training body for barristers in England and Wales.
  • C. Lincoln's Inn
    Lincoln's Inn is one of the four historic Inns of Court in London, serving as a professional association and training institution for barristers in England and Wales.
  • D. Inner Temple
    Inner Temple is one of the four historic Inns of Court in London, serving as a professional association and training institution for barristers in England and Wales.
  • E. 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.
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6589eb24081908715b683de1edc68 completed April 20, 2026, 4:47 p.m.
Created at: April 10, 2026, 1:51 p.m.