Triple

T7487700
Position Surface form Disambiguated ID Type / Status
Subject Aubagne E176922 entity
Predicate hasMayor P185 FINISHED
Object Sylvain Souvestre
Sylvain Souvestre is a French local politician who serves as the mayor of the town of Aubagne in southern France.
E877075 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: Sylvain Souvestre | Statement: [Aubagne, hasMayor, Sylvain Souvestre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sylvain Souvestre
Context triple: [Aubagne, hasMayor, Sylvain Souvestre]
  • A. Pierre Lescure
    Pierre Lescure is a French media executive and journalist best known as the co-founder and former CEO of the television network Canal+ and a prominent figure in France’s entertainment industry.
  • B. Paul-Henri Le Breton
    Paul-Henri Le Breton is an individual known primarily as a notable bearer of the French surname Le Breton.
  • C. Eugène Eyraud
    Eugène Eyraud was a 19th-century French Catholic missionary best known for being the first European to document the rongorongo script of Easter Island.
  • D. Pierre Lacotte
    Pierre Lacotte was a renowned French choreographer and ballet master celebrated for reviving and reconstructing 19th-century Romantic ballets.
  • E. Pierre Authier
    Pierre Authier is a French automotive designer best known for his work on contemporary Peugeot models, including the popular 208.
  • 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: Sylvain Souvestre
Triple: [Aubagne, hasMayor, Sylvain Souvestre]
Generated description
Sylvain Souvestre is a French local politician who serves as the mayor of the town of Aubagne in southern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sylvain Souvestre
Target entity description: Sylvain Souvestre is a French local politician who serves as the mayor of the town of Aubagne in southern France.
  • A. Pierre Lescure
    Pierre Lescure is a French media executive and journalist best known as the co-founder and former CEO of the television network Canal+ and a prominent figure in France’s entertainment industry.
  • B. Paul-Henri Le Breton
    Paul-Henri Le Breton is an individual known primarily as a notable bearer of the French surname Le Breton.
  • C. Eugène Eyraud
    Eugène Eyraud was a 19th-century French Catholic missionary best known for being the first European to document the rongorongo script of Easter Island.
  • D. Pierre Lacotte
    Pierre Lacotte was a renowned French choreographer and ballet master celebrated for reviving and reconstructing 19th-century Romantic ballets.
  • E. Pierre Authier
    Pierre Authier is a French automotive designer best known for his work on contemporary Peugeot models, including the popular 208.
  • 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_69c69f24ac508190bb98fe927c0bd065 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f55965ac81909d3c3a5422b22d44 completed March 27, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69d979c21f5481908bea7fd2c70d2c0b completed April 10, 2026, 10:29 p.m.
NEDg Description generation batch_69d97c7bc87481908d50eb6f294170eb completed April 10, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69d97e015b088190a97822675eecaa5a completed April 10, 2026, 10:47 p.m.
Created at: March 27, 2026, 3:43 p.m.