Triple

T16917077
Position Surface form Disambiguated ID Type / Status
Subject François Georges-Picot E410347 entity
Predicate givenName P17 FINISHED
Object François
François is a French masculine given name of Latin origin, commonly used in France and other French-speaking regions.
 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 Georges-Picot, givenName, François]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: François
Context triple: [François Georges-Picot, 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 Georges-Picot, givenName, François]
Generated description
François is a French masculine given name of Latin origin, commonly used in France and other French-speaking regions.
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 France and other French-speaking regions.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cdeb74c08190b6f247cdf4b21405 completed April 18, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7c0cb08819098e2ce2aed4d51b3 completed May 10, 2026, 6 p.m.
NEDg Description generation batch_6a00c87e9c5081909a09434341a5abaa completed May 10, 2026, 6:03 p.m.
NED2 Entity disambiguation (via description) batch_6a00c923e6d4819086e91be261d13051 completed May 10, 2026, 6:06 p.m.
Created at: April 10, 2026, 5:30 a.m.