Triple

T13020181
Position Surface form Disambiguated ID Type / Status
Subject Paul Cambon E322650 entity
Predicate familyName P18 FINISHED
Object Cambon
Cambon is a French surname most notably associated with influential diplomats and politicians such as Paul Cambon.
E1021948 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: Cambon | Statement: [Paul Cambon, familyName, Cambon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cambon
Context triple: [Paul Cambon, familyName, Cambon]
  • A. Cazeneuve
    Cazeneuve is a French surname most notably borne by Bernard Cazeneuve, a prominent French politician and former Prime Minister of France.
  • B. Bezannes
    Bezannes is a commune in northeastern France near Reims, known for hosting the Champagne-Ardenne TGV high-speed railway station.
  • C. Boncourt
    Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
  • D. Desnos
    Desnos is the surname of Robert Desnos, a notable French surrealist poet and member of the Resistance during World War II.
  • E. Roquebillière
    Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
  • 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: Cambon
Triple: [Paul Cambon, familyName, Cambon]
Generated description
Cambon is a French surname most notably associated with influential diplomats and politicians such as Paul Cambon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cambon
Target entity description: Cambon is a French surname most notably associated with influential diplomats and politicians such as Paul Cambon.
  • A. Cazeneuve
    Cazeneuve is a French surname most notably borne by Bernard Cazeneuve, a prominent French politician and former Prime Minister of France.
  • B. Bezannes
    Bezannes is a commune in northeastern France near Reims, known for hosting the Champagne-Ardenne TGV high-speed railway station.
  • C. Boncourt
    Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
  • D. Desnos
    Desnos is the surname of Robert Desnos, a notable French surrealist poet and member of the Resistance during World War II.
  • E. Roquebillière
    Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ecf21bc819082fb512bc479b4be completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e267f528819086bffa3a208f70ce completed May 3, 2026, 5:51 a.m.
NEDg Description generation batch_69f6e3a950548190836e24621a5ece74 completed May 3, 2026, 5:56 a.m.
NED2 Entity disambiguation (via description) batch_69f6e454f95c8190b023c5d141999dd8 completed May 3, 2026, 5:59 a.m.
Created at: April 9, 2026, 8:51 p.m.