Triple

T18012805
Position Surface form Disambiguated ID Type / Status
Subject Lawrence Grant E430923 entity
Predicate familyName P18 FINISHED
Object Grant
Grant is a common English-language surname of Scottish origin, borne by numerous notable figures across politics, arts, and entertainment.
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: [Lawrence Grant, familyName, Grant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grant
Context triple: [Lawrence Grant, familyName, Grant]
  • A. John
    John is the given name of John Hancock, a prominent American statesman and patriot best known for his large signature on the United States Declaration of Independence.
  • B. John
    John is the given name of John Moors Cabot, an American diplomat and member of the prominent Cabot family.
  • C. 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.
  • D. John
    John Tavener was a British composer renowned for his spiritually inspired choral and religious works, including the widely acclaimed piece "The Protecting Veil."
  • E. John
    John Manners, Marquess of Granby, was an 18th-century British soldier and popular military leader renowned for his service in the Seven Years' War and his enduring legacy in English pub names.
  • 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: [Lawrence Grant, familyName, Grant]
Generated description
Grant is a common English-language surname of Scottish origin, borne by numerous notable figures across politics, arts, and entertainment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Grant
Target entity description: Grant is a common English-language surname of Scottish origin, borne by numerous notable figures across politics, arts, and entertainment.
  • 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 Hancock, a prominent American statesman and patriot best known for his large signature on the United States Declaration of Independence.
  • 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b520ea088190b74903f1e1ba49e2 completed April 19, 2026, 10:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a034322df848190a296ad5f5dec41d4 completed May 12, 2026, 3:11 p.m.
NEDg Description generation batch_6a03454c6b5c8190b407625a66af2792 completed May 12, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_6a03465cc8848190953289a88a802b19 completed May 12, 2026, 3:25 p.m.
Created at: April 10, 2026, 10:24 a.m.