Triple

T14345940
Position Surface form Disambiguated ID Type / Status
Subject Sue Brierley E355719 entity
Predicate relatedPerson P37 FINISHED
Object John Brierley E340115 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: John Brierley | Statement: [Sue Brierley, relatedPerson, John Brierley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Brierley
Context triple: [Sue Brierley, relatedPerson, John Brierley]
  • A. John Brierley chosen
    John Brierley is the real-life Australian man whose childhood journey from India to adoption and later search for his birth family inspired the book and film "Lion."
  • B. John Ashton
    John Ashton is an American character actor best known for his tough, often blue-collar roles in crime and action films such as "Beverly Hills Cop" and "Midnight Run."
  • C. Richard Bradford
    Richard Bradford was an American character actor known for his tough, authoritative roles in film and television, including notable appearances in works like "The Crossing Guard" and the 1960s spy series "Man in a Suitcase."
  • D. Andrew Brice
    Andrew Brice is an Australian entrepreneur best known as the co-founder of the online travel company Wotif Group.
  • E. Mark Bedford
    Mark Bedford is an English bassist best known as a member of the ska and pop band Madness.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e8b81bc8190ace2a575faf55cc0 completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8aa530fc81908aecc4439eea4c01 completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:14 a.m.