Triple

T4816926
Position Surface form Disambiguated ID Type / Status
Subject Gray's Inn E107609 entity
Predicate hasNotableAlumnus P51 FINISHED
Object Lord Hoffmann E164545 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: Lord Hoffmann | Statement: [Gray's Inn, hasNotableAlumnus, Lord Hoffmann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lord Hoffmann
Context triple: [Gray's Inn, hasNotableAlumnus, Lord Hoffmann]
  • A. Lord Hoffmann chosen
    Lord Hoffmann is a prominent British jurist who served as a Lord of Appeal in Ordinary in the House of Lords and became one of the most influential judges in modern UK legal history.
  • B. Lord Judge
    Lord Judge is a prominent British jurist who served as Lord Chief Justice of England and Wales.
  • C. Lord Reed
    Lord Reed is a senior British judge who serves as President of the Supreme Court of the United Kingdom.
  • D. Lord Woolf
    Lord Woolf is a prominent British jurist who served as Lord Chief Justice of England and Wales and is noted for major reforms to the civil justice system.
  • E. Richard Hoffman
    Richard Hoffman is a notable individual distinguished enough to share his surname with others recognized under the name Hoffman.
  • 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_69bd43f9efa081908314cb3e94fa1695 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c947b18819086c3af556bb7591c completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4db8cb208190bda1d6df46391dfa completed March 21, 2026, 7:50 a.m.
Created at: March 20, 2026, 1:23 p.m.