Triple

T5439
Position Surface form Disambiguated ID Type / Status
Subject Theodor Nelson E107 entity
Predicate familyName P18 FINISHED
Object Nelson
Nelson is a common English-language surname borne by numerous notable figures across politics, sports, entertainment, and academia.
 E1145 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: Nelson | Statement: [Theodor Nelson, familyName, Nelson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nelson
Context triple: [Theodor Nelson, familyName, Nelson]
  • A. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • B. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • C. Porter
    Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
  • D. Andrew
    Andrew is a masculine given name of Greek origin meaning "manly" or "brave," widely used in English-speaking countries and beyond.
  • 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: Nelson
Triple: [Theodor Nelson, familyName, Nelson]
Generated description
Nelson is a common English-language surname borne by numerous notable figures across politics, sports, entertainment, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nelson
Target entity description: Nelson is a common English-language surname borne by numerous notable figures across politics, sports, entertainment, and academia.
  • A. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • B. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • C. Porter
    Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
  • D. Andrew
    Andrew is a masculine given name of Greek origin meaning "manly" or "brave," widely used in English-speaking countries and beyond.
  • 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_69a238d6b47881909e68288aed2fd858 completed Feb. 28, 2026, 12:37 a.m.
NER Named-entity recognition batch_69a2399d5cf88190998f9b95c817a60f completed Feb. 28, 2026, 12:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69a243c6f10c81908305b9e03c79a6ae completed Feb. 28, 2026, 1:24 a.m.
NEDg Description generation batch_69a2463b1a8881908e900ed76ae81a4d completed Feb. 28, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69a246aa8d6481908a9cc6d66a0c0296 completed Feb. 28, 2026, 1:36 a.m.
Created at: Feb. 28, 2026, 12:40 a.m.