Triple

T15492282
Position Surface form Disambiguated ID Type / Status
Subject Frank Currier E378718 entity
Predicate familyName P18 FINISHED
Object Currier
Currier is a surname of English origin borne by various notable individuals, including figures in the arts, sports, and public life.
 E1161233 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: Currier | Statement: [Frank Currier, familyName, Currier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Currier
Context triple: [Frank Currier, familyName, Currier]
  • A. Currey
    Currey is an alternative spelling or variant form of the name "Curry," which can refer to a surname, given name, or the well-known spiced dish.
  • B. Gurney
    Gurney is an English surname historically associated with several notable families, including Quaker bankers, philanthropists, and public figures.
  • C. Kensett
    Kensett is the surname of John Frederick Kensett, a prominent 19th-century American landscape painter associated with the Hudson River School.
  • D. Copley
    Copley is a small outback town in South Australia that serves as a gateway and service hub for visitors to the nearby Gammon Ranges and northern Flinders Ranges.
  • E. Copley
    Copley is a major MBTA subway station in Boston’s Back Bay neighborhood, serving as a key transfer and access point for nearby landmarks such as Copley Square and the Boston Public Library.
  • 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: Currier
Triple: [Frank Currier, familyName, Currier]
Generated description
Currier is a surname of English origin borne by various notable individuals, including figures in the arts, sports, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Currier
Target entity description: Currier is a surname of English origin borne by various notable individuals, including figures in the arts, sports, and public life.
  • A. Currey
    Currey is an alternative spelling or variant form of the name "Curry," which can refer to a surname, given name, or the well-known spiced dish.
  • B. Gurney
    Gurney is an English surname historically associated with several notable families, including Quaker bankers, philanthropists, and public figures.
  • C. Kensett
    Kensett is the surname of John Frederick Kensett, a prominent 19th-century American landscape painter associated with the Hudson River School.
  • D. Copley
    Copley is a small outback town in South Australia that serves as a gateway and service hub for visitors to the nearby Gammon Ranges and northern Flinders Ranges.
  • E. Copley
    Copley is a major MBTA subway station in Boston’s Back Bay neighborhood, serving as a key transfer and access point for nearby landmarks such as Copley Square and the Boston Public Library.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fad723481908d2aa33e8f065f2f completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3660fc6c81908caf1729260a8338 completed May 9, 2026, 1:28 p.m.
NEDg Description generation batch_69ff373558c88190983792d12956886e completed May 9, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_69ff37c1b1e081909662b37eb5a2da1a completed May 9, 2026, 1:33 p.m.
Created at: April 10, 2026, 3:49 a.m.