Triple

T15764502
Position Surface form Disambiguated ID Type / Status
Subject François Jolliet E382183 entity
Predicate givenName P17 FINISHED
Object François
François is a French masculine given name of Latin origin, commonly used in French-speaking countries.
 E1132436 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: François | Statement: [François Jolliet, givenName, François]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: François
Context triple: [François Jolliet, givenName, François]
  • A. François
    François is the given name of the French poet and essayist Sully Prudhomme, the first recipient of the Nobel Prize in Literature.
  • B. François
    François is a central character in Claude Chabrol’s 1958 French New Wave film "Le Beau Serge," whose troubled life and relationships drive much of the drama.
  • C. François
    François is the French given name of Francis Carco, a 20th-century French novelist, poet, and journalist known for his portrayals of Parisian underworld life.
  • D. François
    François is a French given name historically borne by notable figures such as Marshal Luxembourg, reflecting its long-standing prominence in Francophone cultures.
  • E. François
    François is the given name of Chevalier de Lévis, an 18th-century French nobleman and military commander who served in New France during the Seven Years' War.
  • 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: François
Triple: [François Jolliet, givenName, François]
Generated description
François is a French masculine given name of Latin origin, commonly used in French-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: François
Target entity description: François is a French masculine given name of Latin origin, commonly used in French-speaking countries.
  • A. François chosen
    François is a French masculine given name historically borne by numerous notable figures in politics, arts, and literature.
  • B. François
    François is a French given name historically borne by notable figures such as Marshal Luxembourg, reflecting its long-standing prominence in Francophone cultures.
  • C. François
    François is the French given name of Francis Carco, a 20th-century French novelist, poet, and journalist known for his portrayals of Parisian underworld life.
  • D. François
    François is the given name of Chevalier de Lévis, an 18th-century French nobleman and military commander who served in New France during the Seven Years' War.
  • E. François
    François is the given name of the French poet and essayist Sully Prudhomme, the first recipient of the Nobel Prize in Literature.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b6c9fc8190a1bcf763c4b04b12 completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff87789914819097b56482cb8984c7 completed May 9, 2026, 7:14 p.m.
NEDg Description generation batch_69ff887dc9cc81908833f9881647d82f completed May 9, 2026, 7:18 p.m.
NED2 Entity disambiguation (via description) batch_69ff8970b85081909c8eb114851841f1 completed May 9, 2026, 7:22 p.m.
Created at: April 10, 2026, 4:47 a.m.