Triple

T13660205
Position Surface form Disambiguated ID Type / Status
Subject Francis Vere E326974 entity
Predicate givenName P17 FINISHED
Object Francis
Francis is a masculine given name of Latin origin, commonly used in English-speaking countries and borne by numerous historical and religious figures.
E293255 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: [Francis Vere, givenName, Francis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francis
Context triple: [Francis Vere, givenName, Francis]
  • A. Francis
    Francis was a German nobleman who served as Duke of Saxe-Coburg-Saalfeld in the late 18th and early 19th centuries.
  • B. 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."
  • C. 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.
  • D. Francis
    Francis is the middle name of American motion picture and television pioneer Charles Francis Jenkins.
  • E. Francis
    Francis is the given name of Sir Francis Walsingham, the principal secretary and spymaster to Queen Elizabeth I of England.
  • 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: [Francis Vere, givenName, Francis]
Generated description
Francis is a masculine given name of Latin origin, commonly used in English-speaking countries and borne by numerous historical and religious figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Francis
Target entity description: Francis is a masculine given name of Latin origin, commonly used in English-speaking countries and borne by numerous historical and religious figures.
  • A. Francis chosen
    Francis is a masculine given name of Latin origin, commonly used in English-speaking countries and associated with figures such as Saint Francis of Assisi and numerous historical and contemporary personalities.
  • B. Francis
    Francis is a common English surname of Latin origin, historically associated with people from France or those bearing the given name Francis.
  • C. Francis
    Francis is the papal name of the current head of the Roman Catholic Church, known for his emphasis on humility, social justice, and interfaith dialogue.
  • D. Francis
    Francis is the middle name of Patrick Francis Healy, a prominent 19th-century American Jesuit priest and president of Georgetown University.
  • E. Francis
    Francis is the given first name of the English actor Frank Finlay, known for his work in film, television, and theatre.
  • F. None of above.

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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc61f0d808190b1cd2a6ba0d930eb completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b08d27c8190badc612c26423c0e completed May 3, 2026, 5:51 p.m.
NEDg Description generation batch_69f78fd0d29481908bd44bda28e3b2c1 completed May 3, 2026, 6:11 p.m.
NED2 Entity disambiguation (via description) batch_69f7908d92e08190918525c59cb37b55 completed May 3, 2026, 6:14 p.m.
Created at: April 9, 2026, 9:52 p.m.