Triple

T1045880
Position Surface form Disambiguated ID Type / Status
Subject Ted Hughes E22576 entity
Predicate familyName P18 FINISHED
Object Hughes
Hughes is a common English and Welsh surname of patronymic origin, derived from the given name Hugh.
 E119019 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: Hughes | Statement: [Ted Hughes, familyName, Hughes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hughes
Context triple: [Ted Hughes, familyName, Hughes]
  • A. Langston
    Langston is the given name of Langston Hughes, the influential American poet, social activist, and central figure of the Harlem Renaissance.
  • B. Ellison
    Ellison is a surname most prominently associated with Larry Ellison, the billionaire co-founder of Oracle Corporation.
  • C. Stedman Graham
    Stedman Graham is an American educator, author, businessman, and public speaker best known for his long-term relationship with media mogul Oprah Winfrey.
  • D. G. T. Andrews
    G. T. Andrews was a 19th-century British architect known for designing significant public and railway buildings, including major structures in York and other parts of northern England.
  • E. Whittier
    Whittier is a suburban city in Los Angeles County, California, known for its historic downtown, Quaker roots, and as the namesake of Whittier College.
  • 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: Hughes
Triple: [Ted Hughes, familyName, Hughes]
Generated description
Hughes is a common English and Welsh surname of patronymic origin, derived from the given name Hugh.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hughes
Target entity description: Hughes is a common English and Welsh surname of patronymic origin, derived from the given name Hugh.
  • A. Langston
    Langston is the given name of Langston Hughes, the influential American poet, social activist, and central figure of the Harlem Renaissance.
  • B. Ellison
    Ellison is a surname most prominently associated with Larry Ellison, the billionaire co-founder of Oracle Corporation.
  • C. Stedman Graham
    Stedman Graham is an American educator, author, businessman, and public speaker best known for his long-term relationship with media mogul Oprah Winfrey.
  • D. G. T. Andrews
    G. T. Andrews was a 19th-century British architect known for designing significant public and railway buildings, including major structures in York and other parts of northern England.
  • E. Whittier
    Whittier is a suburban city in Los Angeles County, California, known for its historic downtown, Quaker roots, and as the namesake of Whittier College.
  • F. None of above. chosen

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_69a493d91478819094cc01fb65564bc1 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b84bb0048190badf6d2f7f684d99 completed March 1, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bc97dec81909b6ad48e3f203923 completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3c42c2c081909ccadbf944d3aa6c completed March 7, 2026, 2:54 p.m.
NED2 Entity disambiguation (via description) batch_69ac3cbea1708190a16951194f13ed5e completed March 7, 2026, 2:57 p.m.
Created at: March 1, 2026, 7:42 p.m.