Triple

T20243527
Position Surface form Disambiguated ID Type / Status
Subject Ulysses S. Grant III E498361 entity
Predicate familyName P18 FINISHED
Object Grant
Grant is a common English surname of Norman origin, often associated with notable figures such as U.S. President Ulysses S. Grant and his descendants.
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: [Ulysses S. Grant III, familyName, Grant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grant
Context triple: [Ulysses S. Grant III, familyName, Grant]
  • A. 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.
  • B. John
    John is the given name of John Forrest, an Australian explorer and politician who became the first Premier of Western Australia.
  • C. John
    John is the given first name of Buck Freeman, an American professional baseball player from the late 19th and early 20th centuries.
  • D. John
    John Napier was a Scottish mathematician best known for inventing logarithms and popularizing the use of the decimal point in arithmetic.
  • E. John
    John is the given name of Duke John Albert of Mecklenburg, a German nobleman from the House of Mecklenburg.
  • 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: [Ulysses S. Grant III, familyName, Grant]
Generated description
Grant is a common English surname of Norman origin, often associated with notable figures such as U.S. President Ulysses S. Grant and his descendants.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Grant
Target entity description: Grant is a common English surname of Norman origin, often associated with notable figures such as U.S. President Ulysses S. Grant and his descendants.
  • 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 B. Magruder was a Confederate major general during the American Civil War, known for his leadership in the Peninsula Campaign and his flamboyant personality.
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e67170aa248190922fc845d2265ae3 completed April 20, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a084b9607b48190bc9c68c4e9b8f9b8 completed May 16, 2026, 10:48 a.m.
NEDg Description generation batch_6a084be2bcc88190b7d369c07da59c11 completed May 16, 2026, 10:50 a.m.
NED2 Entity disambiguation (via description) batch_6a084c99487c81908dd132f118846f0c completed May 16, 2026, 10:53 a.m.
Created at: April 11, 2026, 11:40 p.m.