Triple

T3367360
Position Surface form Disambiguated ID Type / Status
Subject Vinayak Damodar Savarkar E70867 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: [Vinayak Damodar Savarkar, educatedAt, Gray’s Inn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gray’s Inn
Context triple: [Vinayak Damodar Savarkar, 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_69ad85a729d48190afd789cd8417f289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2890480819082fe2e3c2874cece completed March 8, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3343664cc81909793820377b4bdc1 completed March 12, 2026, 9:46 p.m.
Created at: March 8, 2026, 3:13 p.m.