Triple

T10928126
Position Surface form Disambiguated ID Type / Status
Subject Don Jamieson E258123 entity
Predicate givenName P17 FINISHED
Object Donald
Donald is the first name of Don Jamieson, a Canadian politician who served as a federal cabinet minister and diplomat.
E893582 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: Donald | Statement: [Don Jamieson, givenName, Donald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donald
Context triple: [Don Jamieson, givenName, Donald]
  • A. Donald
    Donald is the given name of Donald Trump, the 45th president of the United States and a prominent businessman and media personality.
  • B. Donald
    Donald is the given name of Don Revie, the renowned English football player and manager best known for his successful tenure at Leeds United.
  • C. Donald
    Donald III of Scotland was a late 11th-century King of Scots who briefly ruled following the death of his brother Malcolm III.
  • D. Donald
    Donald is a fictional character portrayed by American actor Matt Bomer, likely in a film or television production.
  • E. Donald
    Donald is the given first name of Neil Johnston, an American Basketball Hall of Famer known for his prolific scoring in the 1950s NBA.
  • 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: Donald
Triple: [Don Jamieson, givenName, Donald]
Generated description
Donald is the first name of Don Jamieson, a Canadian politician who served as a federal cabinet minister and diplomat.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Donald
Target entity description: Donald is the first name of Don Jamieson, a Canadian politician who served as a federal cabinet minister and diplomat.
  • A. Donald
    Donald is the first name of Don Beyer, an American politician and diplomat who has served as a U.S. Representative from Virginia.
  • B. Donald
    Donald is the given name of Donald Trump, the 45th president of the United States and a prominent businessman and media personality.
  • C. Donald
    Donald is the given name of Polish and European politician Donald Tusk, a prominent leader in both Polish national politics and the European Union.
  • D. Donald
    Donald is the given first name of influential American jazz musician, arranger, and bandleader Don Redman.
  • E. Donald
    Donald is the given first name of Don Hutson, a pioneering American football wide receiver widely regarded as one of the NFL’s earliest superstars.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7709da23c819096f4bba1cd4ff5cb completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e217475344819088b44b6efb2df1c8 completed April 17, 2026, 11:19 a.m.
NEDg Description generation batch_69e21d8aea2881908ac8f5225b8739c5 completed April 17, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_69e21eb18a1881908ded331db89063ed completed April 17, 2026, 11:51 a.m.
Created at: April 8, 2026, 9:22 p.m.