Triple

T22926173
Position Surface form Disambiguated ID Type / Status
Subject Francis Knowles E569312 entity
Predicate hasGivenName 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 contemporary 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 Knowles, hasGivenName, Francis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francis
Context triple: [Francis Knowles, hasGivenName, Francis]
  • A. Francis
    Francis was a French prince of the House of Valois who held the title Duke of Anjou in the late 16th century.
  • 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 middle name of E. F. Hutton, the prominent American stock brokerage firm co-founder and namesake.
  • D. Francis
    Francis is a minor comedic character in the satirical film "Monty Python's Life of Brian," appearing as a member of the revolutionary group the People's Front of Judea.
  • E. Francis
    Francis is the given first name of the American vaudeville comedian and actor Frank Fay, a prominent early star of talking pictures and Broadway.
  • 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 Knowles, hasGivenName, Francis]
Generated description
Francis is a masculine given name of Latin origin, commonly used in English-speaking countries and borne by numerous historical and contemporary 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 contemporary 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 given name of St. Francis de Sales, a 17th-century Catholic bishop renowned for his spiritual writings and gentle approach to religious reform.
  • D. Francis
    Francis is the given first name of the English actor Frank Finlay, known for his work in film, television, and theatre.
  • E. 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.
  • 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180d90a9481908ea10019980b3951 completed April 29, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bc2496f50819098e4bd9a3fa3f6e4 completed May 19, 2026, 1:52 a.m.
NEDg Description generation batch_6a0bc35c3ea08190a3b9111297774e6c completed May 19, 2026, 1:56 a.m.
NED2 Entity disambiguation (via description) batch_6a0bc43eafe081909dfff8b40d624635 completed May 19, 2026, 2 a.m.
Created at: April 17, 2026, 3:43 p.m.