Triple

T5239252
Position Surface form Disambiguated ID Type / Status
Subject George W. McLaurin E118298 entity
Predicate givenName P17 FINISHED
Object George
George is the given name of George W. McLaurin, the first African American student admitted to the University of Oklahoma.
E507123 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: George | Statement: [George W. McLaurin, givenName, George]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George
Context triple: [George W. McLaurin, givenName, George]
  • A. George
    George is the first name of George Washington, the first President of the United States and a key leader in the American Revolutionary War.
  • B. George
    George is the heroic protagonist of the fantasy film "The Magic Sword," known for embarking on a perilous quest to rescue a princess from an evil sorcerer.
  • C. George
    George is one of the central child detectives in Enid Blyton’s classic Secret Seven mystery series.
  • D. George
    George is the given name of George Washington Vanderbilt II, the American art collector and member of the prominent Vanderbilt family who built the Biltmore Estate.
  • E. George
    George is the birth name of the legendary American baseball player Babe Ruth, one of the sport’s most iconic figures.
  • 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: George
Triple: [George W. McLaurin, givenName, George]
Generated description
George is the given name of George W. McLaurin, the first African American student admitted to the University of Oklahoma.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: George
Target entity description: George is the given name of George W. McLaurin, the first African American student admitted to the University of Oklahoma.
  • A. George
    George is the first name of George Washington, the first President of the United States and a key leader in the American Revolutionary War.
  • B. George
    George is the given name of George Black, a New Zealand politician.
  • C. George
    George is the first name of Hall of Fame baseball player Ken Griffey Jr., one of Major League Baseball’s most celebrated outfielders.
  • D. George
    George is the given first name of Pat Summerall, the famed American sportscaster and former NFL placekicker.
  • E. George
    George is a male given name commonly used in English-speaking countries and borne by numerous historical figures, including kings, presidents, and cultural icons.
  • 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b290b88819095bc99c234260d25 completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe65e3048190899a6316dc4c89eb completed March 21, 2026, 8:24 p.m.
NEDg Description generation batch_69beff4322308190b252820e7213f05e completed March 21, 2026, 8:27 p.m.
NED2 Entity disambiguation (via description) batch_69beffe02d208190b857d6aaa4d85dae completed March 21, 2026, 8:30 p.m.
Created at: March 20, 2026, 1:49 p.m.