Triple

T57844
Position Surface form Disambiguated ID Type / Status
Subject Nelson E1145 entity
Predicate hasVariant P455 FINISHED
Object Nielson
Nielson is a surname and given name that functions as a spelling variant of Nelson, commonly of Scandinavian or English origin.
 E4076 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: Nielson | Statement: [Nelson, hasVariant, Nielson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nielson
Context triple: [Nelson, hasVariant, Nielson]
  • A. Rogers
    Rogers is a common English-language surname borne by numerous notable individuals across fields such as science, politics, entertainment, and sports.
  • B. Rockwell
    Rockwell is an American singer and songwriter best known for his 1984 hit single "Somebody's Watching Me."
  • C. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • D. Sununu
    Sununu is a prominent American political family name most notably associated with former New Hampshire Governor and White House Chief of Staff John H. Sununu and his son, Governor Chris Sununu.
  • E. Porter
    Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
  • 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: Nielson
Triple: [Nelson, hasVariant, Nielson]
Generated description
Nielson is a surname and given name that functions as a spelling variant of Nelson, commonly of Scandinavian or English origin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nielson
Target entity description: Nielson is a surname and given name that functions as a spelling variant of Nelson, commonly of Scandinavian or English origin.
  • A. Rogers
    Rogers is a common English-language surname borne by numerous notable individuals across fields such as science, politics, entertainment, and sports.
  • B. Fox
    Fox is a major American broadcast television network known for airing NFL games, including extensive coverage of NFC East matchups.
  • C. Rockwell
    Rockwell is an American singer and songwriter best known for his 1984 hit single "Somebody's Watching Me."
  • D. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • E. Sununu
    Sununu is a prominent American political family name most notably associated with former New Hampshire Governor and White House Chief of Staff John H. Sununu and his son, Governor Chris Sununu.
  • 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_69a24e67ff508190af0f1a3dd232c836 completed Feb. 28, 2026, 2:09 a.m.
NEDg Description generation batch_69a24f1747f0819085ed4ff644b26ea5 completed Feb. 28, 2026, 2:12 a.m.
NED2 Entity disambiguation (via description) batch_69a24fccea748190bf167f0d3a6b3f81 completed Feb. 28, 2026, 2:15 a.m.
Created at: Feb. 28, 2026, 1:50 a.m.