Triple

T3089406
Position Surface form Disambiguated ID Type / Status
Subject Argenteuil E64453 entity
Predicate hasMayor P185 FINISHED
Object Georges Mothron
Georges Mothron is a French politician known for serving as the mayor of the suburban Parisian city of Argenteuil.
E498877 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: Georges Mothron | Statement: [Argenteuil, hasMayor, Georges Mothron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Georges Mothron
Context triple: [Argenteuil, hasMayor, Georges Mothron]
  • A. Léon Marchal
    Léon Marchal was a French diplomat who served as Secretary General of the Council of Europe during the early years of European postwar integration.
  • B. Hyacinthe Gariel
    Hyacinthe Gariel was a 19th-century French engineer best known for designing the original Pont de l’Alma in Paris.
  • C. Henri Lebasque
    Henri Lebasque was a French post-impressionist painter known for his luminous use of color and intimate domestic and landscape scenes.
  • D. Léon Boyer
    Léon Boyer was a French civil engineer best known for designing major 19th-century railway structures, including the Garabit Viaduct.
  • E. Louis Boisot
    Louis Boisot was a Dutch nobleman and admiral of the Sea Beggars who played a key role in the Dutch Revolt by helping to relieve the besieged city of Leiden in 1574.
  • 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: Georges Mothron
Triple: [Argenteuil, hasMayor, Georges Mothron]
Generated description
Georges Mothron is a French politician known for serving as the mayor of the suburban Parisian city of Argenteuil.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Georges Mothron
Target entity description: Georges Mothron is a French politician known for serving as the mayor of the suburban Parisian city of Argenteuil.
  • A. Léon Marchal
    Léon Marchal was a French diplomat who served as Secretary General of the Council of Europe during the early years of European postwar integration.
  • B. Hyacinthe Gariel
    Hyacinthe Gariel was a 19th-century French engineer best known for designing the original Pont de l’Alma in Paris.
  • C. Henri Lebasque
    Henri Lebasque was a French post-impressionist painter known for his luminous use of color and intimate domestic and landscape scenes.
  • D. Léon Boyer
    Léon Boyer was a French civil engineer best known for designing major 19th-century railway structures, including the Garabit Viaduct.
  • E. Louis Boisot
    Louis Boisot was a Dutch nobleman and admiral of the Sea Beggars who played a key role in the Dutch Revolt by helping to relieve the besieged city of Leiden in 1574.
  • F. None of above. chosen

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_69ad857c97d88190b26f9b1c90839c77 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada20b99a4819090c3d3e08ed556ad completed March 8, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed8f0f4088190ba66d5e3c6642c9a completed March 21, 2026, 5:44 p.m.
NEDg Description generation batch_69bed99bf7408190b9d647612e097350 completed March 21, 2026, 5:47 p.m.
NED2 Entity disambiguation (via description) batch_69bed9b553008190a9a6309026598b6d completed March 21, 2026, 5:47 p.m.
Created at: March 8, 2026, 3:03 p.m.