Triple

T22620656
Position Surface form Disambiguated ID Type / Status
Subject Grant MacEwan E558267 entity
Predicate nickname P55 FINISHED
Object Grant
Grant is the commonly used short form of the name Grant MacEwan, a Canadian historian, author, and former lieutenant governor of Alberta.
E1545786 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: Grant | Statement: [Grant MacEwan, nickname, Grant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grant
Context triple: [Grant MacEwan, nickname, Grant]
  • A. John
    John is the given name of John Henry Patterson, an American industrialist and founder of the National Cash Register Company.
  • B. John
    John B. Magruder was a Confederate major general during the American Civil War, known for his leadership in the Peninsula Campaign and his flamboyant personality.
  • C. John
    John Braham was a renowned 19th-century English tenor celebrated for his powerful voice and influential operatic career.
  • D. John
    John is a fictional character from the work "Hit & Miss," known for his role within its crime-driven, dramatic storyline.
  • E. John
    John is the first name of John F. Reyburn, an American Republican politician who served as a U.S. Representative from Pennsylvania in the late 19th and early 20th centuries.
  • 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: Grant
Triple: [Grant MacEwan, nickname, Grant]
Generated description
Grant is the commonly used short form of the name Grant MacEwan, a Canadian historian, author, and former lieutenant governor of Alberta.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Grant
Target entity description: Grant is the commonly used short form of the name Grant MacEwan, a Canadian historian, author, and former lieutenant governor of Alberta.
  • A. Grant
    Grant is a common English-language surname of Scottish origin, borne by numerous notable figures in fields such as politics, entertainment, and sports.
  • B. Grant
    Grant is a masculine given name of English origin that is commonly used in the United States and other English-speaking countries.
  • C. Grant
    Grant is a fictional character portrayed by Canadian actor Justin Chatwin in film or television.
  • D. Grant
    Grant is a character from the television series "Switched at Birth," known primarily as Grace Bowman's romantic partner.
  • E. Grant
    Grant is the Rock-type Gym Leader of Cyllage City in the Kalos region in the Pokémon series.
  • 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_69e24545a8e08190bfa7482a2c725ff1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f16e383b048190a432c540185916d0 completed April 29, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b4e037bf8819087bc71af425e794b completed May 18, 2026, 5:36 p.m.
NEDg Description generation batch_6a0b4f5425d88190b986e5fd657beca7 completed May 18, 2026, 5:41 p.m.
NED2 Entity disambiguation (via description) batch_6a0b502d7148819081b635e9ef3be1d1 completed May 18, 2026, 5:45 p.m.
Created at: April 17, 2026, 3 p.m.