Triple

T8870359
Position Surface form Disambiguated ID Type / Status
Subject Francis Keally E211137 entity
Predicate givenName P17 FINISHED
Object Francis
Francis is a masculine given name of Latin origin, derived from "Franciscus" and commonly associated with figures such as Saint Francis of Assisi and various popes.
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 Keally, givenName, Francis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francis
Context triple: [Francis Keally, givenName, Francis]
  • A. Francis
    Francis is the given first name of legendary Los Angeles Lakers play-by-play announcer Chick Hearn.
  • B. Francis
    Francis is the middle name of American seismologist Charles Francis Richter, best known for creating the Richter magnitude scale for measuring earthquakes.
  • C. Francis
    Francis is the given first name of Canadian ice hockey player and Hall of Famer King Clancy.
  • D. Francis
    Francis is the given name of American singer and conductor Frank Sinatra Jr., son of legendary entertainer Frank Sinatra.
  • E. Francis
    Francis is the given name of X. Atencio, the Disney animator and Imagineer known for his work on attractions like Pirates of the Caribbean and The Haunted Mansion.
  • 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 Keally, givenName, Francis]
Generated description
Francis is a masculine given name of Latin origin, derived from "Franciscus" and commonly associated with figures such as Saint Francis of Assisi and various popes.
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, derived from "Franciscus" and commonly associated with figures such as Saint Francis of Assisi and various popes.
  • 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 the English actor Frank Finlay, known for his work in film, television, and theatre.
  • E. Francis
    Francis is the given first name of Scottish former professional footballer Frank McAvennie.
  • 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_69ca838d3c7c8190a849566d5afd2b11 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6126d2f88190979ab25772ee657c completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0ea9f5c8190b5c32fb1fefdc68b completed April 3, 2026, 11:13 a.m.
NEDg Description generation batch_69cfa191d7d0819085a6b9bf7fa56067 completed April 3, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69cfa28b1d1c8190ab4a10ba8fa7259d completed April 3, 2026, 11:20 a.m.
Created at: March 30, 2026, 6:51 p.m.