Triple

T8110500
Position Surface form Disambiguated ID Type / Status
Subject Joe Clark E189335 entity
Predicate servedInCabinetOf P15469 FINISHED
Object Brian Mulroney E28863 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: Brian Mulroney | Statement: [Joe Clark, servedInCabinetOf, Brian Mulroney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Mulroney
Context triple: [Joe Clark, servedInCabinetOf, Brian Mulroney]
  • A. Brian Mulroney chosen
    Brian Mulroney was the 18th prime minister of Canada, known for his conservative economic reforms, closer ties with the United States, and major free trade agreements.
  • B. Jean Chrétien
    Jean Chrétien is a Canadian politician who served as the 20th prime minister of Canada from 1993 to 2003, leading a majority Liberal government and overseeing a period of economic growth and federal deficit reduction.
  • C. John Turner
    John Turner was a Canadian Liberal politician who briefly served as the 17th prime minister of Canada in 1984.
  • D. John Turner
    John Turner is a musician best known as a member of the American glam metal band Ratt.
  • E. John Turner
    John Turner was a British actor known for his work in film and television, including roles in classic British comedies and dramas.
  • 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42fcfb9c81908496f9a7e30d0d8a completed March 31, 2026, 3:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced062f3881908560b657c096c92e completed April 1, 2026, 10:01 a.m.
Created at: March 30, 2026, 5:32 p.m.