Triple

T13961505
Position Surface form Disambiguated ID Type / Status
Subject Elkin Pianim E335803 entity
Predicate givenName P17 FINISHED
Object Elkin
Elkin is a given name shared by various individuals, including figures in politics, arts, and other fields.
E1074625 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: Elkin | Statement: [Elkin Pianim, givenName, Elkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elkin
Context triple: [Elkin Pianim, givenName, Elkin]
  • A. Elkin, North Carolina
    Elkin, North Carolina is a small town in the foothills of the Blue Ridge Mountains known for its historic downtown, wineries, and outdoor recreation opportunities.
  • B. Lenoir
    Lenoir is a French-origin surname borne by various notable individuals in fields such as politics, science, and the arts.
  • C. Morganton
    Morganton is a small city in Burke County, North Carolina, known as a regional hub in the foothills of the Blue Ridge Mountains with a historic downtown and proximity to outdoor recreation.
  • D. Morganton
    Morganton is a small town located in Fannin County in the mountainous region of northern Georgia, United States.
  • E. Lumberton
    Lumberton is a small city in southern Mississippi known for its rural character and proximity to pine forest and timber industries.
  • 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: Elkin
Triple: [Elkin Pianim, givenName, Elkin]
Generated description
Elkin is a given name shared by various individuals, including figures in politics, arts, and other fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Elkin
Target entity description: Elkin is a given name shared by various individuals, including figures in politics, arts, and other fields.
  • A. Elkin, North Carolina
    Elkin, North Carolina is a small town in the foothills of the Blue Ridge Mountains known for its historic downtown, wineries, and outdoor recreation opportunities.
  • B. Lenoir
    Lenoir is a French-origin surname borne by various notable individuals in fields such as politics, science, and the arts.
  • C. Morganton
    Morganton is a small city in Burke County, North Carolina, known as a regional hub in the foothills of the Blue Ridge Mountains with a historic downtown and proximity to outdoor recreation.
  • D. Morganton
    Morganton is a small town located in Fannin County in the mountainous region of northern Georgia, United States.
  • E. Lumberton
    Lumberton is a small city in southern Mississippi known for its rural character and proximity to pine forest and timber industries.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e7c73d48190b8e02971b5a8ed5f completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac8e47d48190a1d5e841810fe50c completed May 6, 2026, 9:03 p.m.
NEDg Description generation batch_69fbae3d04f081908c8d28148b4f1de0 completed May 6, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_69fbaf41636c8190bf44bd238bd9d9a4 completed May 6, 2026, 9:14 p.m.
Created at: April 9, 2026, 10:18 p.m.