Triple

T18509172
Position Surface form Disambiguated ID Type / Status
Subject Grant Geissman E452287 entity
Predicate givenName P17 FINISHED
Object Grant
Grant is a masculine given name of English origin commonly used in English-speaking countries.
E182443 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 Geissman, givenName, Grant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grant
Context triple: [Grant Geissman, givenName, Grant]
  • A. John
    John is the first name of Pete Ricketts, an American businessman and politician who has served as governor of Nebraska.
  • 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 John Baptist Purcell, a 19th-century Irish-American Roman Catholic archbishop of Cincinnati.
  • D. John
    John is the first name of American sports commentator and television personality Skip Bayless.
  • E. John
    John Glas was an 18th-century Scottish clergyman best known for founding the Glasite (or Sandemanian) church movement that emphasized primitive Christian practices and congregational independence.
  • 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 Geissman, givenName, Grant]
Generated description
Grant is a masculine given name of English origin commonly used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Grant
Target entity description: Grant is a masculine given name of English origin commonly used in English-speaking countries.
  • A. Grant chosen
    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
    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. Wilson
    Wilson is a fictional character from the Samba universe, known for his role within that setting’s stories.
  • 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53344c6b081908e780ed5c815a766 completed April 19, 2026, 7:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a047148cac48190885f66f87274905d completed May 13, 2026, 12:40 p.m.
NEDg Description generation batch_6a048626a0a48190956a51f755f790cd completed May 13, 2026, 2:09 p.m.
NED2 Entity disambiguation (via description) batch_6a0489f4a1d081909a274bf3679c70a6 completed May 13, 2026, 2:25 p.m.
Created at: April 10, 2026, 11:36 a.m.