Triple

T5960976
Position Surface form Disambiguated ID Type / Status
Subject Sir John Randolph E132634 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of Sir John Randolph, an 18th-century Virginia lawyer, politician, and colonial official.
E562921 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: John | Statement: [Sir John Randolph, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [Sir John Randolph, givenName, John]
  • A. John
    John is the given name of John H. Hammond Jr., the influential American record producer and talent scout known for discovering and promoting numerous major jazz, blues, and rock musicians.
  • B. John
    John is the given name of John F. Sattler, likely referring to him in a more informal or abbreviated context.
  • C. John
    John II of Aragon was a 15th-century King of Aragon and Navarre whose reign was marked by dynastic conflicts and the consolidation of Spanish territories.
  • D. John
    John is the given name of John B. Watson, the influential American psychologist who founded behaviorism.
  • E. John
    John is the given name of Australian cinematographer John Seale, known for his work on films such as "The English Patient" and "Mad Max: Fury Road."
  • 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: John
Triple: [Sir John Randolph, givenName, John]
Generated description
John is the given name of Sir John Randolph, an 18th-century Virginia lawyer, politician, and colonial official.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of Sir John Randolph, an 18th-century Virginia lawyer, politician, and colonial official.
  • A. John
    John is the given name of John Eager Howard, an American Revolutionary War officer and early political leader from Maryland.
  • B. John
    John is the given name of the influential English philosopher John Locke, a key figure in empiricism and liberal political theory.
  • C. John
    John is the given name of John Russell, 1st Earl Russell, a prominent 19th-century British statesman and Prime Minister.
  • D. John
    John is the given name of John Jay, one of the Founding Fathers of the United States and the first Chief Justice of the U.S. Supreme Court.
  • E. John
    John is the given name of John Churchill, Marquess of Blandford, an English nobleman from the prominent Churchill family in the early 18th century.
  • 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_69c0086c2364819091e9fe2f58fa2517 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c039fd6dd48190a6020bef38b1be82 completed March 22, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c107ee88fc8190a6f633ff168b51ed completed March 23, 2026, 9:29 a.m.
NEDg Description generation batch_69c1090a7bac8190b5b9e003659b4b34 completed March 23, 2026, 9:34 a.m.
NED2 Entity disambiguation (via description) batch_69c10d5102348190a9ec7421b1410a99 completed March 23, 2026, 9:52 a.m.
Created at: March 22, 2026, 4:02 p.m.