Triple

T8152389
Position Surface form Disambiguated ID Type / Status
Subject 20th arrondissement of Paris E190362 entity
Predicate hasMayor P185 FINISHED
Object Éric Pliez
Éric Pliez is a French politician who serves as the mayor of Paris’s 20th arrondissement.
E742790 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: Éric Pliez | Statement: [20th arrondissement of Paris, hasMayor, Éric Pliez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Éric Pliez
Context triple: [20th arrondissement of Paris, hasMayor, Éric Pliez]
  • A. Benoît Delhomme
    Benoît Delhomme is a French cinematographer known for his visually distinctive work on international films such as The Scent of Green Papaya, The Theory of Everything, and Lawless.
  • B. Stéphane Loda
    Stéphane Loda is a French local politician who serves as the mayor of the Mediterranean coastal commune of Canet-en-Roussillon.
  • C. Laurent Barès
    Laurent Barès is a French cinematographer known for his work on genre films, particularly in horror and action.
  • D. Grégory Garestier
    Grégory Garestier is a French local politician who serves as the mayor of the commune of Maurepas in the Yvelines department.
  • E. Frédéric Bricout
    Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
  • 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: Éric Pliez
Triple: [20th arrondissement of Paris, hasMayor, Éric Pliez]
Generated description
Éric Pliez is a French politician who serves as the mayor of Paris’s 20th arrondissement.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Éric Pliez
Target entity description: Éric Pliez is a French politician who serves as the mayor of Paris’s 20th arrondissement.
  • A. Benoît Delhomme
    Benoît Delhomme is a French cinematographer known for his visually distinctive work on international films such as The Scent of Green Papaya, The Theory of Everything, and Lawless.
  • B. Stéphane Loda
    Stéphane Loda is a French local politician who serves as the mayor of the Mediterranean coastal commune of Canet-en-Roussillon.
  • C. Laurent Barès
    Laurent Barès is a French cinematographer known for his work on genre films, particularly in horror and action.
  • D. Grégory Garestier
    Grégory Garestier is a French local politician who serves as the mayor of the commune of Maurepas in the Yvelines department.
  • E. Frédéric Bricout
    Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
  • 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_69ca82be7ba8819087de0147e9292c83 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb44d4494c8190aad2ee302e90670f completed March 31, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce88498cf081909c25c292c014fe8c completed April 2, 2026, 3:16 p.m.
NEDg Description generation batch_69ce8a442b508190bd8319fda51edc4b completed April 2, 2026, 3:24 p.m.
NED2 Entity disambiguation (via description) batch_69ce8afff50c8190b2dd1a7e0a5a130b completed April 2, 2026, 3:28 p.m.
Created at: March 30, 2026, 5:37 p.m.