Triple

T1898542
Position Surface form Disambiguated ID Type / Status
Subject Hugh Dalton E37637 entity
Predicate familyName P18 FINISHED
Object Dalton
Dalton is a common English surname of Anglo-Saxon origin, historically associated with various notable figures in British public life.
 E212418 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: Dalton | Statement: [Hugh Dalton, familyName, Dalton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dalton
Context triple: [Hugh Dalton, familyName, Dalton]
  • A. Dalton
    Dalton is a small town in western Massachusetts known historically for its paper mills and as the longtime home of the Crane & Co. currency paper company.
  • B. Dalton
    Dalton is a city in northwest Georgia known for its large carpet and flooring industry, often referred to as the "Carpet Capital of the World."
  • C. Colton
    Colton is a small city in Southern California’s Inland Empire region, located within San Bernardino County.
  • D. Hayden
    Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
  • E. Rutherford
    Rutherford is a residential and industrial suburb in the City of Maitland in New South Wales, Australia.
  • 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: Dalton
Triple: [Hugh Dalton, familyName, Dalton]
Generated description
Dalton is a common English surname of Anglo-Saxon origin, historically associated with various notable figures in British public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dalton
Target entity description: Dalton is a common English surname of Anglo-Saxon origin, historically associated with various notable figures in British public life.
  • A. Dalton
    Dalton is a small town in western Massachusetts known historically for its paper mills and as the longtime home of the Crane & Co. currency paper company.
  • B. Dalton
    Dalton is a city in northwest Georgia known for its large carpet and flooring industry, often referred to as the "Carpet Capital of the World."
  • C. Colton
    Colton is a small city in Southern California’s Inland Empire region, located within San Bernardino County.
  • D. Hayden
    Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
  • E. Rutherford
    Rutherford is a residential and industrial suburb in the City of Maitland in New South Wales, Australia.
  • 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_69a8861be7148190a680937ec451a304 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb170657481908662089511a8f301 completed March 7, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeaf08708819091566511228d8ec8 completed March 8, 2026, 9:32 p.m.
NEDg Description generation batch_69adec0ef72481908ecc3c3383e25d3b completed March 8, 2026, 9:37 p.m.
NED2 Entity disambiguation (via description) batch_69adec8b0600819086a13abd47f0438d completed March 8, 2026, 9:39 p.m.
Created at: March 4, 2026, 7:35 p.m.