Triple

T1391842
Position Surface form Disambiguated ID Type / Status
Subject Francis Bacon E29977 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 notable figures in religion, politics, and the arts.
 E62786 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 Bacon, givenName, Francis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Francis
Context triple: [Francis Bacon, 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. Francesco
    Francesco is the birth name of Frank Capra, the renowned Italian-American film director known for classic Hollywood movies such as "It's a Wonderful Life."
  • C. Benedict
    Benedict is a masculine given name of Latin origin, most famously borne in modern times by the British actor Benedict Cumberbatch.
  • D. Francisco
    Francisco is a masculine given name of Spanish and Portuguese origin, equivalent to Francis in English.
  • E. Théodore
    Théodore is a masculine given name of Greek origin, commonly used in French-speaking countries and borne by notable figures such as the Reformation theologian Théodore Beza.
  • 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 Bacon, givenName, Francis]
Generated description
Francis is a masculine given name of Latin origin, commonly used in English-speaking countries and borne by numerous notable figures in religion, politics, and the arts.
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 notable figures in religion, politics, and the arts.
  • 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. Francesco
    Francesco is the birth name of Frank Capra, the renowned Italian-American film director known for classic Hollywood movies such as "It's a Wonderful Life."
  • C. Benedict
    Benedict is a masculine given name of Latin origin, most famously borne in modern times by the British actor Benedict Cumberbatch.
  • D. Francisco chosen
    Francisco is a masculine given name of Spanish and Portuguese origin, equivalent to Francis in English.
  • E. Théodore
    Théodore is a masculine given name of Greek origin, commonly used in French-speaking countries and borne by notable figures such as the Reformation theologian Théodore Beza.
  • 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_69a498dc92f8819094a1108f8ac90f43 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c35f7ab081909fe81dd475d6196f completed March 1, 2026, 10:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde28dd888190baa4a26f96f33e0a completed March 8, 2026, 2:25 a.m.
NEDg Description generation batch_69acded052a88190945cf7a2af019c68 completed March 8, 2026, 2:28 a.m.
NED2 Entity disambiguation (via description) batch_69acdf41eb5c819088f2203f33995ccb completed March 8, 2026, 2:30 a.m.
Created at: March 1, 2026, 7:59 p.m.