Triple

T17108499
Position Surface form Disambiguated ID Type / Status
Subject Patrick Grant E415161 entity
Predicate familyName P18 FINISHED
Object Grant
Grant is a common English and Scottish surname borne by numerous notable figures across politics, arts, sports, and academia.
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: [Patrick Grant, familyName, Grant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grant
Context triple: [Patrick Grant, 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 Prince Alexander John of Wales, a short-lived British royal infant of the 19th century.
  • C. John
    John is the given name of Sir John Woodville, a 15th-century English nobleman associated with the influential Woodville family during the Wars of the Roses.
  • D. John
    John Bacon was a 19th-century American politician who served in the Wisconsin State Assembly.
  • E. John
    John Hampden was a prominent 17th-century English politician and Parliamentarian leader known for his opposition to King Charles I’s taxation policies and his role in the events leading up to the English Civil War.
  • 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: [Patrick Grant, familyName, Grant]
Generated description
Grant is a common English and Scottish surname borne by numerous notable figures across politics, arts, sports, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Grant
Target entity description: Grant is a common English and Scottish surname borne by numerous notable figures across politics, arts, sports, and academia.
  • 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. 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.
  • E. John
    John is the given name of Prince Alexander John of Wales, a short-lived British royal infant of the 19th century.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc2906a081909d0d43cf04319f52 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a03e2e48190a0b631dd8f6f8a24 completed May 11, 2026, 2:08 a.m.
NEDg Description generation batch_6a013ae388548190b09d2c81e1ab0d02 completed May 11, 2026, 2:11 a.m.
NED2 Entity disambiguation (via description) batch_6a013b4df74c81908b3b99e276531e13 completed May 11, 2026, 2:13 a.m.
Created at: April 10, 2026, 5:35 a.m.