Triple

T17220028
Position Surface form Disambiguated ID Type / Status
Subject Dayton E417952 entity
Predicate hasRelatedName P3889 FINISHED
Object Dalton
Dalton is a masculine given name and surname of English origin, commonly used in English-speaking countries.
 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: [Dayton, hasRelatedName, Dalton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dalton
Context triple: [Dayton, hasRelatedName, 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. Dalton
    Dalton is a common English surname of Anglo-Saxon origin, historically associated with various notable figures in British public life.
  • D. Dalton
    Dalton is a small borough in northeastern Pennsylvania, located within the suburban and rural region of Lackawanna County near Scranton.
  • E. Dalton
    Dalton is a small rural village in the West Lancashire district of Lancashire, England.
  • 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: [Dayton, hasRelatedName, Dalton]
Generated description
Dalton is a masculine given name and surname of English origin, commonly used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dalton
Target entity description: Dalton is a masculine given name and surname of English origin, commonly used in English-speaking countries.
  • A. Dalton chosen
    Dalton is a common English surname of Anglo-Saxon origin, historically associated with various notable figures in British public life.
  • B. Dalton
    Dalton is a small rural village in the West Lancashire district of Lancashire, England.
  • C. 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."
  • D. 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.
  • E. Dalton
    Dalton is a small borough in northeastern Pennsylvania, located within the suburban and rural region of Lackawanna County near Scranton.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42ddd52d4819098b51d55e063c8ab completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01675553b88190a04987b0de62cb15 completed May 11, 2026, 5:21 a.m.
NEDg Description generation batch_6a0169e5f7e881909cb3fe35935d888d completed May 11, 2026, 5:32 a.m.
NED2 Entity disambiguation (via description) batch_6a016a46409881908ea7e93fd31cd5c5 completed May 11, 2026, 5:33 a.m.
Created at: April 10, 2026, 5:38 a.m.