Triple

T1562766
Position Surface form Disambiguated ID Type / Status
Subject Johnson E33363 entity
Predicate hasVariant P455 FINISHED
Object Johnston
Johnston is a surname and given name of Scottish and Irish origin, commonly used as a variant of Johnson.
 E180002 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: Johnston | Statement: [Johnson, hasVariant, Johnston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Johnston
Context triple: [Johnson, hasVariant, Johnston]
  • A. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • B. Brewster
    Brewster is an English occupational surname historically associated with brewing ale or beer.
  • C. Brewster
    Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
  • D. Brewster
    Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
  • E. Gifford
    Gifford is a surname most prominently associated with American football player and broadcaster Frank Gifford.
  • 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: Johnston
Triple: [Johnson, hasVariant, Johnston]
Generated description
Johnston is a surname and given name of Scottish and Irish origin, commonly used as a variant of Johnson.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Johnston
Target entity description: Johnston is a surname and given name of Scottish and Irish origin, commonly used as a variant of Johnson.
  • A. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • B. Brewster
    Brewster is an English occupational surname historically associated with brewing ale or beer.
  • C. Brewster
    Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
  • D. Brewster
    Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
  • E. Gifford
    Gifford is a surname most prominently associated with American football player and broadcaster Frank Gifford.
  • 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_69a885ef9cf48190b0af0f5ce3d02231 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908886efc8190a630ef1e06d0d9cb completed March 5, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad40217be88190ae17abcf1541ec55 completed March 8, 2026, 9:23 a.m.
NEDg Description generation batch_69ad44074024819087ae57d85cb89654 completed March 8, 2026, 9:40 a.m.
NED2 Entity disambiguation (via description) batch_69ad44a1f068819095752e05a0915063 completed March 8, 2026, 9:42 a.m.
Created at: March 4, 2026, 7:27 p.m.