Triple

T19428211
Position Surface form Disambiguated ID Type / Status
Subject Sir John Evans E486038 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of Sir John Evans, a distinguished British archaeologist and geologist of the 19th century.
E1376687 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 Evans, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [Sir John Evans, givenName, John]
  • A. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • B. John
    John is the given name of John Eales, the renowned former Australian rugby union captain and World Cup winner.
  • C. John
    John is the given first name of the American Old West outlaw and gunfighter Johnny Ringo.
  • D. John
    John is the given name of John George Graves, a notable British mail-order entrepreneur and philanthropist from Sheffield.
  • E. John
    John Entwistle was the influential English bassist and songwriter best known as a founding member of the rock band The Who.
  • 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 Evans, givenName, John]
Generated description
John is the given name of Sir John Evans, a distinguished British archaeologist and geologist of the 19th century.
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 Evans, a distinguished British archaeologist and geologist of the 19th century.
  • A. John
    John is the given name of John Gardner Wilkinson, a pioneering 19th-century English Egyptologist known for his extensive studies of ancient Egypt.
  • B. John
    John is the given name of Sir John Barrow, a prominent 19th-century English statesman, writer, and promoter of Arctic exploration.
  • C. John
    John is the given name of Sir John Fowler, a prominent 19th-century British civil engineer known for major railway and bridge projects such as the Forth Bridge.
  • D. John
    John is the given name of Edward John Eyre, a 19th-century British explorer and colonial administrator known for his expeditions in Australia and controversial governorship in Jamaica.
  • E. John
    John is the given name of Sir John Aird, a prominent British civil engineer and contractor known for major infrastructure projects in the late 19th and early 20th centuries.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6321abb9c81908ad73c2cd537d0f1 completed April 20, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a073b269ca481908ecc68cfdd4c5d61 completed May 15, 2026, 3:26 p.m.
NEDg Description generation batch_6a073c0a02c8819080b0e71caf65e6fa completed May 15, 2026, 3:30 p.m.
NED2 Entity disambiguation (via description) batch_6a073d0e92d48190880317263fe6e481 completed May 15, 2026, 3:34 p.m.
Created at: April 10, 2026, 1:37 p.m.