Triple

T4765184
Position Surface form Disambiguated ID Type / Status
Subject Francis Beaufort E105792 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 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 Beaufort, givenName, Francis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francis
Context triple: [Francis Beaufort, givenName, Francis]
  • A. 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.
  • B. Francis
    Francis is the tough yet sensitive ladybug character from Pixar's animated film "A Bug's Life."
  • C. Francis
    Francis is the middle name of Victoria Lawford, a member of the extended Kennedy family.
  • D. Francis
    Francis is the given first name of Daley Thompson, the celebrated British decathlete and double Olympic gold medalist.
  • E. Francis
    Francis is the middle name of Jasper Francis Cropsey, a prominent 19th-century American landscape painter associated with the Hudson River School.
  • 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 Beaufort, 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 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 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 given first name of Daley Thompson, the celebrated British decathlete and double Olympic gold medalist.
  • E. Francis
    Francis is the given first name of Canadian ice hockey player and Hall of Famer King Clancy.
  • 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_69bd43f226fc8190b867cc249c2a9042 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65327af48190881c25763232c368 completed March 20, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a87741081909380c51ba4efed92 completed March 21, 2026, 6:28 a.m.
NEDg Description generation batch_69be3d444b888190b2df7433502604ff completed March 21, 2026, 6:40 a.m.
NED2 Entity disambiguation (via description) batch_69be3dd31c648190bfdac15fb85cfec9 completed March 21, 2026, 6:42 a.m.
Created at: March 20, 2026, 1:21 p.m.