Triple

T57842
Position Surface form Disambiguated ID Type / Status
Subject Nelson E1145 entity
Predicate hasVariant P455 FINISHED
Object Nilsen
Nilsen is a surname, primarily of Scandinavian origin, that serves as a variant spelling of Nelson.
 E12672 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: Nilsen | Statement: [Nelson, hasVariant, Nilsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nilsen
Context triple: [Nelson, hasVariant, Nilsen]
  • A. Peter Amundson
    Peter Amundson is a film editor best known for his work on major Hollywood productions, including the science-fiction action film "Pacific Rim."
  • B. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • C. Frick
    Frick is a surname most prominently associated with American industrialist and art patron Henry Clay Frick.
  • D. Al Reser
    Al Reser was an American businessman and Oregon State University alumnus best known as the longtime head of Reser's Fine Foods and a major benefactor of OSU athletics.
  • E. Lynn
    Lynn is a coastal city in northeastern Massachusetts, known as one of the larger urban centers in the Greater Boston metropolitan area.
  • 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: Nilsen
Triple: [Nelson, hasVariant, Nilsen]
Generated description
Nilsen is a surname, primarily of Scandinavian origin, that serves as a variant spelling of Nelson.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nilsen
Target entity description: Nilsen is a surname, primarily of Scandinavian origin, that serves as a variant spelling of Nelson.
  • A. Peter Amundson
    Peter Amundson is a film editor best known for his work on major Hollywood productions, including the science-fiction action film "Pacific Rim."
  • B. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • C. Frick
    Frick is a surname most prominently associated with American industrialist and art patron Henry Clay Frick.
  • D. Al Reser
    Al Reser was an American businessman and Oregon State University alumnus best known as the longtime head of Reser's Fine Foods and a major benefactor of OSU athletics.
  • E. Lynn
    Lynn is a coastal city in northeastern Massachusetts, known as one of the larger urban centers in the Greater Boston metropolitan area.
  • 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_69a248adc5b48190aa8db9fb092fb28a completed Feb. 28, 2026, 1:45 a.m.
NER Named-entity recognition batch_69a24b1bf2c081908f20e13939b713ff completed Feb. 28, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a29176de5c819086e1cfec0a23d9d7 completed Feb. 28, 2026, 6:55 a.m.
NEDg Description generation batch_69a291e8a54081909f9377d7decca7d0 completed Feb. 28, 2026, 6:57 a.m.
NED2 Entity disambiguation (via description) batch_69a2927e410c81909879207d8b25a895 completed Feb. 28, 2026, 7 a.m.
Created at: Feb. 28, 2026, 1:50 a.m.