Triple

T14302022
Position Surface form Disambiguated ID Type / Status
Subject Harold H. Burton E354588 entity
Predicate child P120 FINISHED
Object Robert Burton
Robert Burton is the son of Harold H. Burton, an American politician and U.S. Supreme Court Justice.
E1091527 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: Robert Burton | Statement: [Harold H. Burton, child, Robert Burton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Burton
Context triple: [Harold H. Burton, child, Robert Burton]
  • A. Robert Burton
    Robert Burton was an American character actor active in mid-20th-century film and television, often appearing in supporting roles.
  • B. John Camden Hotten
    John Camden Hotten was a 19th-century English publisher, bookseller, and author known for his influential role in Victorian literary culture and for founding the firm that became Chatto & Windus.
  • C. Henry Fowler
    Henry Fowler was a prominent British railway engineer best known for designing influential steam locomotives in the early 20th century.
  • D. John Warburton
    John Warburton was a British-born actor known for his supporting roles in Hollywood films during the 1930s and 1940s.
  • E. John Warburton
    John Warburton was an 18th-century English antiquary and collector known for preserving and cataloguing rare manuscripts and historical documents.
  • 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: Robert Burton
Triple: [Harold H. Burton, child, Robert Burton]
Generated description
Robert Burton is the son of Harold H. Burton, an American politician and U.S. Supreme Court Justice.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Robert Burton
Target entity description: Robert Burton is the son of Harold H. Burton, an American politician and U.S. Supreme Court Justice.
  • A. Robert Burton
    Robert Burton was an American character actor active in mid-20th-century film and television, often appearing in supporting roles.
  • B. John Camden Hotten
    John Camden Hotten was a 19th-century English publisher, bookseller, and author known for his influential role in Victorian literary culture and for founding the firm that became Chatto & Windus.
  • C. Henry Fowler
    Henry Fowler was a prominent British railway engineer best known for designing influential steam locomotives in the early 20th century.
  • D. John Warburton
    John Warburton was a British-born actor known for his supporting roles in Hollywood films during the 1930s and 1940s.
  • E. John Warburton
    John Warburton was an 18th-century English antiquary and collector known for preserving and cataloguing rare manuscripts and historical documents.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de717fc2348190bb6ba3109bd2871f completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d2883e081909c53170ef30b4125 completed May 8, 2026, 1:32 a.m.
NEDg Description generation batch_69fd3dc46b408190b7c515156f81f1fc completed May 8, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69fd3eb045488190b44812eb638807ff completed May 8, 2026, 1:38 a.m.
Created at: April 10, 2026, 1:12 a.m.