Triple

T20562609
Position Surface form Disambiguated ID Type / Status
Subject Sir John Thomas E504880 entity
Predicate title P38 FINISHED
Object Mr Justice Thomas
Mr Justice Thomas is the judicial title used by Sir John Thomas, a senior British judge who served as Lord Chief Justice of England and Wales.
 E1439699 NE FINISHED

How this triple was built (4 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 Thomas | Statement: [Sir John Thomas, title, Mr Justice Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mr Justice Thomas
Context triple: [Sir John Thomas, title, Mr Justice Thomas]
  • A. Jack Scalia
    Jack Scalia is an American actor known for his roles in television series and films, particularly in the 1980s and 1990s.
  • B. Judge Thomas Powell
    Judge Thomas Powell was an early local jurist and prominent figure in the region whose legacy is commemorated in the naming of Powell, Ohio.
  • C. Antonin Scalia
    Antonin Scalia was a prominent conservative U.S. Supreme Court Justice known for his originalist and textualist approach to constitutional interpretation.
  • D. Judge Hamilton
    Judge Hamilton is a fictional judicial figure appearing in Mary Higgins Clark’s suspense novel "All Around the Town."
  • E. John W. Roberts
    John W. Roberts was a high-ranking United States Air Force officer who served in a prominent leadership role within the Air Training Command.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mr Justice Thomas
Triple: [Sir John Thomas, title, Mr Justice Thomas]
Generated description
Mr Justice Thomas is the judicial title used by Sir John Thomas, a senior British judge who served as Lord Chief Justice of England and Wales.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mr Justice Thomas
Target entity description: Mr Justice Thomas is the judicial title used by Sir John Thomas, a senior British judge who served as Lord Chief Justice of England and Wales.
  • A. Jack Scalia
    Jack Scalia is an American actor known for his roles in television series and films, particularly in the 1980s and 1990s.
  • B. Judge Thomas Powell
    Judge Thomas Powell was an early local jurist and prominent figure in the region whose legacy is commemorated in the naming of Powell, Ohio.
  • C. Antonin Scalia
    Antonin Scalia was a prominent conservative U.S. Supreme Court Justice known for his originalist and textualist approach to constitutional interpretation.
  • D. Judge Hamilton
    Judge Hamilton is a fictional judicial figure appearing in Mary Higgins Clark’s suspense novel "All Around the Town."
  • E. John W. Roberts
    John W. Roberts was a high-ranking United States Air Force officer who served in a prominent leadership role within the Air Training Command.
  • F. None of above. chosen

Provenance (5 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a79f906c819081163de9649ccb17 completed April 20, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08b3ddd76c8190bf8a7ff3b2820188 completed May 16, 2026, 6:13 p.m.
NEDg Description generation batch_6a08b56160c88190902dd0d7ec7bbedf completed May 16, 2026, 6:20 p.m.
NED2 Entity disambiguation (via description) batch_6a08b5cfc3ac81908c62f48fa7a43aa2 completed May 16, 2026, 6:22 p.m.
Created at: April 16, 2026, 11:39 a.m.