Triple

T12436248
Position Surface form Disambiguated ID Type / Status
Subject Jean-Christophe Cambadélis E297150 entity
Predicate familyName P18 FINISHED
Object Cambadélis
Cambadélis is the surname of Jean-Christophe Cambadélis, a French politician and former First Secretary of the Socialist Party.
 E983683 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: Cambadélis | Statement: [Jean-Christophe Cambadélis, familyName, Cambadélis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cambadélis
Context triple: [Jean-Christophe Cambadélis, familyName, Cambadélis]
  • A. Placencia
    Placencia is a popular beach village and tourist destination on the Caribbean coast of southern Belize, known for its sandy peninsula, laid-back atmosphere, and access to nearby reefs and cayes.
  • B. Comayagüela
    Comayagüela is a major urban district of Honduras that, together with Tegucigalpa, forms the country’s capital area.
  • C. Camajuaní
    Camajuaní is a municipality in central Cuba known for its agricultural economy and location within Villa Clara Province.
  • D. Botorrita
    Botorrita is a municipality in the province of Zaragoza, Spain, best known for the discovery of ancient Celtiberian bronze inscriptions found there.
  • E. Pacasmayo
    Pacasmayo is a coastal city in northern Peru known for its long pier, surfing beaches, and colonial-era architecture.
  • 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: Cambadélis
Triple: [Jean-Christophe Cambadélis, familyName, Cambadélis]
Generated description
Cambadélis is the surname of Jean-Christophe Cambadélis, a French politician and former First Secretary of the Socialist Party.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cambadélis
Target entity description: Cambadélis is the surname of Jean-Christophe Cambadélis, a French politician and former First Secretary of the Socialist Party.
  • A. Placencia
    Placencia is a popular beach village and tourist destination on the Caribbean coast of southern Belize, known for its sandy peninsula, laid-back atmosphere, and access to nearby reefs and cayes.
  • B. Comayagüela
    Comayagüela is a major urban district of Honduras that, together with Tegucigalpa, forms the country’s capital area.
  • C. Camajuaní
    Camajuaní is a municipality in central Cuba known for its agricultural economy and location within Villa Clara Province.
  • D. Botorrita
    Botorrita is a municipality in the province of Zaragoza, Spain, best known for the discovery of ancient Celtiberian bronze inscriptions found there.
  • E. Pacasmayo
    Pacasmayo is a coastal city in northern Peru known for its long pier, surfing beaches, and colonial-era architecture.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8c8fd481909b35ac504127a1b6 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f06d16481909ed2eb5195ebd7e4 completed May 2, 2026, 6:14 p.m.
NEDg Description generation batch_69f6400fe9888190ae8244ccc8e8bc39 completed May 2, 2026, 6:18 p.m.
NED2 Entity disambiguation (via description) batch_69f64168d23881908daee7d7cba2160d completed May 2, 2026, 6:24 p.m.
Created at: April 8, 2026, 9:55 p.m.