Triple

T19875991
Position Surface form Disambiguated ID Type / Status
Subject Rodney A. Grant E477637 entity
Predicate familyName P18 FINISHED
Object Grant
Grant is a surname of English and Scottish origin borne by numerous notable individuals across fields such as politics, entertainment, and sports.
E843097 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: [Rodney A. Grant, familyName, Grant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grant
Context triple: [Rodney A. Grant, familyName, 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 is the given name of American journalist and politician John Weiss Forney, known for his influential role in 19th-century U.S. media and Democratic Party politics.
  • D. John
    John Bacon was a 19th-century American politician who served in the Wisconsin State Assembly.
  • E. John
    John is the given first name of Buck Freeman, an American professional baseball player from 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: [Rodney A. Grant, familyName, Grant]
Generated description
Grant is a surname of English and Scottish origin borne by numerous notable individuals across fields such as politics, entertainment, and sports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Grant
Target entity description: Grant is a surname of English and Scottish origin borne by numerous notable individuals across fields such as politics, entertainment, and sports.
  • A. Grant
    Grant is a masculine given name of English origin that is commonly used in the United States and other English-speaking countries.
  • B. Grant
    Grant is a publishing company best known for releasing special and limited editions of Stephen King’s works, including volumes in The Dark Tower series.
  • C. Grant chosen
    Grant is a common English-language surname of Scottish origin, borne by numerous notable figures in fields such as politics, entertainment, and sports.
  • D. Grant
    Grant is a fictional character portrayed by Canadian actor Justin Chatwin in film or television.
  • E. John
    John is the given name of John Henry Patterson, an American industrialist and founder of the National Cash Register Company.
  • F. None of above.

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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658db058c8190b7bf0b003ead5bfc completed April 20, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07dbc653b481908e2884c1d2aa6ead completed May 16, 2026, 2:51 a.m.
NEDg Description generation batch_6a07dfbf3c5881909395e9cfa4986429 completed May 16, 2026, 3:08 a.m.
NED2 Entity disambiguation (via description) batch_6a07e08884788190b1c43d01e6022b4f completed May 16, 2026, 3:12 a.m.
Created at: April 10, 2026, 1:52 p.m.