Triple

T4737707
Position Surface form Disambiguated ID Type / Status
Subject Hussein Onn E105164 entity
Predicate educatedAt P5 FINISHED
Object Lincoln’s Inn E30694 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: Lincoln’s Inn | Statement: [Hussein Onn, educatedAt, Lincoln’s Inn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lincoln’s Inn
Context triple: [Hussein Onn, educatedAt, Lincoln’s Inn]
  • A. Lincoln's Inn chosen
    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.
  • 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. 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.
  • D. Gray's Inn
    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.
  • 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_69bd43ee52048190b81a4f066534ffb3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64844b7081909c9d36e4b461379e completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c3ab02081908b308880afbd8f5a completed March 21, 2026, 1:25 p.m.
Created at: March 20, 2026, 1:19 p.m.