Triple

T3118854
Position Surface form Disambiguated ID Type / Status
Subject Karim Ahmad Khan E65129 entity
Predicate educatedAt P5 FINISHED
Object Gray’s Inn E107609 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: Gray’s Inn | Statement: [Karim Ahmad Khan, educatedAt, Gray’s Inn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gray’s Inn
Context triple: [Karim Ahmad Khan, educatedAt, 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. 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.
  • C. 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.
  • 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 (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_69ad857fcc088190b0c4d45a5cde6f61 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada4e975f08190a91a01f37a31b766 completed March 8, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f63f8f881909348d4c6eb3c7e20 completed March 12, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:04 p.m.