Triple

T9640408
Position Surface form Disambiguated ID Type / Status
Subject 14th arrondissement of Paris E233048 entity
Predicate hasMayor P185 FINISHED
Object Carine Petit
Carine Petit is a French politician who serves as the mayor of Paris's 14th arrondissement.
E812623 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: Carine Petit | Statement: [14th arrondissement of Paris, hasMayor, Carine Petit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carine Petit
Context triple: [14th arrondissement of Paris, hasMayor, Carine Petit]
  • A. Marie-José Nat
    Marie-José Nat was a French film and television actress known for her nuanced performances in mid-20th-century European cinema.
  • B. Wendie Renard
    Wendie Renard is a towering French central defender renowned for her leadership, aerial dominance, and long-term success with both Olympique Lyonnais and the France women’s national team.
  • C. Carole Moreno
    Carole Moreno is known as the wife of billionaire businessman and Los Angeles Angels owner Arte Moreno.
  • D. Maryse Alberti
    Maryse Alberti is an acclaimed French cinematographer known for her work on independent and documentary films, including projects like "The Wrestler" and "Creed."
  • E. Surya Bonaly
    Surya Bonaly is a French figure skater renowned for her powerful athleticism, multiple European titles, and for performing a historic backflip on one blade in Olympic competition.
  • 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: Carine Petit
Triple: [14th arrondissement of Paris, hasMayor, Carine Petit]
Generated description
Carine Petit is a French politician who serves as the mayor of Paris's 14th arrondissement.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Carine Petit
Target entity description: Carine Petit is a French politician who serves as the mayor of Paris's 14th arrondissement.
  • A. Marie-José Nat
    Marie-José Nat was a French film and television actress known for her nuanced performances in mid-20th-century European cinema.
  • B. Wendie Renard
    Wendie Renard is a towering French central defender renowned for her leadership, aerial dominance, and long-term success with both Olympique Lyonnais and the France women’s national team.
  • C. Carole Moreno
    Carole Moreno is known as the wife of billionaire businessman and Los Angeles Angels owner Arte Moreno.
  • D. Maryse Alberti
    Maryse Alberti is an acclaimed French cinematographer known for her work on independent and documentary films, including projects like "The Wrestler" and "Creed."
  • E. Surya Bonaly
    Surya Bonaly is a French figure skater renowned for her powerful athleticism, multiple European titles, and for performing a historic backflip on one blade in Olympic competition.
  • 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_69ca848a5a908190aad251f4137b0c3a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b552a1c81909a1fab347110eeb1 completed April 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18248ffe4819095d4ea20951eca01 completed April 4, 2026, 9:27 p.m.
NEDg Description generation batch_69d1864bd0b881908806762ce9df3029 completed April 4, 2026, 9:44 p.m.
NED2 Entity disambiguation (via description) batch_69d186d03eac8190a1080d5c25f4643c completed April 4, 2026, 9:46 p.m.
Created at: March 30, 2026, 8:12 p.m.