Triple

T17181793
Position Surface form Disambiguated ID Type / Status
Subject Thomas Francis Wade E417001 entity
Predicate givenName P17 FINISHED
Object Francis
Francis is the given name of Thomas Francis Wade, a 19th-century British diplomat and sinologist known for co-developing the Wade–Giles system of romanizing Chinese.
E1254720 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: Francis | Statement: [Thomas Francis Wade, givenName, Francis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francis
Context triple: [Thomas Francis Wade, givenName, Francis]
  • A. Francis
    Francis is the given first name of the American actor Frank Morgan, best known for his role as the Wizard in "The Wizard of Oz."
  • B. Francis
    Francis is the middle name of American sportscaster Joe Buck, whose full name is Joseph Francis Buck.
  • C. Francis
    Francis is the given name of Frank Sheeran, the American labor union official and alleged mob hitman whose life inspired the film "The Irishman."
  • D. Francis
    Francis is the given first name of British journalist and author Claud Cockburn.
  • E. Francis
    Francis is the middle name of William Francis Deegan, an American military officer, engineer, and prominent New York City political figure of the early 20th century.
  • 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: Francis
Triple: [Thomas Francis Wade, givenName, Francis]
Generated description
Francis is the given name of Thomas Francis Wade, a 19th-century British diplomat and sinologist known for co-developing the Wade–Giles system of romanizing Chinese.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Francis
Target entity description: Francis is the given name of Thomas Francis Wade, a 19th-century British diplomat and sinologist known for co-developing the Wade–Giles system of romanizing Chinese.
  • A. Francis
    Francis is the given name of Francis Edward Rawdon-Hastings, a prominent British military commander and colonial administrator of the late 18th and early 19th centuries.
  • B. Francis
    Francis is the given name of Sir Francis Walsingham, the principal secretary and spymaster to Queen Elizabeth I of England.
  • C. Francis
    Francis is the given name of Frank Russell, 2nd Earl Russell, a British aristocrat and politician.
  • D. Francis
    Francis is the given name of Frank Pakenham, 7th Earl of Longford, a prominent British Labour politician, social reformer, and Roman Catholic intellectual.
  • E. Francis
    Francis is the given name of Francis Egerton, 3rd Duke of Bridgewater, an 18th-century English nobleman famed for pioneering canal construction during the Industrial Revolution.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc1187808190aeaa0d0e6487957e completed April 18, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014847a19481909b1249c2fe428bfc completed May 11, 2026, 3:08 a.m.
NEDg Description generation batch_6a014cf269b48190bf58eb71a9fec897 completed May 11, 2026, 3:28 a.m.
NED2 Entity disambiguation (via description) batch_6a014d5d10b4819086969145c2d4fb56 completed May 11, 2026, 3:30 a.m.
Created at: April 10, 2026, 5:37 a.m.