Triple

T9488242
Position Surface form Disambiguated ID Type / Status
Subject Le Plessis-Robinson E228816 entity
Predicate hasMayor P185 FINISHED
Object Philippe Pemezec
Philippe Pemezec is a French politician known for serving as mayor of the Parisian suburb Le Plessis-Robinson.
E843854 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: Philippe Pemezec | Statement: [Le Plessis-Robinson, hasMayor, Philippe Pemezec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philippe Pemezec
Context triple: [Le Plessis-Robinson, hasMayor, Philippe Pemezec]
  • A. Boris Dilliès
    Boris Dilliès is a Belgian politician known for serving as the mayor of the Brussels municipality of Uccle.
  • B. Philippe Habert
    Philippe Habert was a French political scientist and commentator known for his work on public opinion and electoral behavior in France.
  • C. Pierre Kezdy
    Pierre Kezdy was an American punk rock bassist best known for his work with the influential Chicago band Naked Raygun and other notable punk acts.
  • D. Philippe Knoche
    Philippe Knoche is a French business executive best known for leading the nuclear energy group Areva through a major restructuring of France’s atomic industry.
  • 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: Philippe Pemezec
Triple: [Le Plessis-Robinson, hasMayor, Philippe Pemezec]
Generated description
Philippe Pemezec is a French politician known for serving as mayor of the Parisian suburb Le Plessis-Robinson.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Philippe Pemezec
Target entity description: Philippe Pemezec is a French politician known for serving as mayor of the Parisian suburb Le Plessis-Robinson.
  • A. Boris Dilliès
    Boris Dilliès is a Belgian politician known for serving as the mayor of the Brussels municipality of Uccle.
  • B. Philippe Habert
    Philippe Habert was a French political scientist and commentator known for his work on public opinion and electoral behavior in France.
  • C. Pierre Kezdy
    Pierre Kezdy was an American punk rock bassist best known for his work with the influential Chicago band Naked Raygun and other notable punk acts.
  • D. Philippe Knoche
    Philippe Knoche is a French business executive best known for leading the nuclear energy group Areva through a major restructuring of France’s atomic industry.
  • 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd80c443b88190968d2092a73e1ee4 completed April 1, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2e4fa938881908253aed52870210d completed April 5, 2026, 10:40 p.m.
NEDg Description generation batch_69d2e6f0aa988190aa9a866afcc2a1a2 completed April 5, 2026, 10:49 p.m.
NED2 Entity disambiguation (via description) batch_69d2e78384f48190abb7bdd7fcadcd9a completed April 5, 2026, 10:51 p.m.
Created at: March 30, 2026, 7:55 p.m.