Triple

T19708522
Position Surface form Disambiguated ID Type / Status
Subject Sir Robert Megarry E473276 entity
Predicate title P38 FINISHED
Object Mr Justice Megarry NE NERFINISHED

How this triple was built (3 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: Mr Justice Megarry | Statement: [Sir Robert Megarry, title, Mr Justice Megarry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr Justice Megarry
Context triple: [Sir Robert Megarry, title, Mr Justice Megarry]
  • A. Lord Justice Mellish
    Lord Justice Mellish was a prominent 19th-century English appellate judge known for his influential decisions in equity law on the Court of Appeal in Chancery.
  • B. Lord Justice Giffard
    Lord Justice Giffard was a prominent 19th-century British judge who served as a Lord Justice of Appeal, known for his influential decisions in equity and chancery law.
  • C. Lord Justice Taylor
    Lord Justice Taylor was a senior British judge best known for leading the inquiry into the Hillsborough disaster and producing the influential Taylor Report on football stadium safety.
  • D. Lord Justice Turner
    Lord Justice Turner was a prominent 19th-century British judge who served as a Lord Justice of Appeal in Chancery, contributing significantly to the development of English equity law.
  • E. Mr. Justice Harbottle
    "Mr. Justice Harbottle" is a Gothic ghost story by Sheridan Le Fanu, centered on a cruel 18th-century judge who faces supernatural retribution for his corrupt judgments.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mr Justice Megarry
Target entity description: Mr Justice Megarry was the judicial title of Sir Robert Megarry, a prominent 20th-century English judge and legal scholar known for his influential work in property law and equity.
  • A. Lord Justice Mellish
    Lord Justice Mellish was a prominent 19th-century English appellate judge known for his influential decisions in equity law on the Court of Appeal in Chancery.
  • B. Lord Justice Giffard
    Lord Justice Giffard was a prominent 19th-century British judge who served as a Lord Justice of Appeal, known for his influential decisions in equity and chancery law.
  • C. Lord Justice Taylor
    Lord Justice Taylor was a senior British judge best known for leading the inquiry into the Hillsborough disaster and producing the influential Taylor Report on football stadium safety.
  • D. Lord Justice Turner
    Lord Justice Turner was a prominent 19th-century British judge who served as a Lord Justice of Appeal in Chancery, contributing significantly to the development of English equity law.
  • E. Mr. Justice Harbottle
    "Mr. Justice Harbottle" is a Gothic ghost story by Sheridan Le Fanu, centered on a cruel 18th-century judge who faces supernatural retribution for his corrupt judgments.
  • F. None of above. chosen

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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e642bc754481908bdf5bfad069aec8 completed April 20, 2026, 3:14 p.m.
Created at: April 10, 2026, 1:46 p.m.