Triple

T4207149
Position Surface form Disambiguated ID Type / Status
Subject Claude Chabrol E93809 entity
Predicate spouse P13 FINISHED
Object Aurore Pajot
Aurore Pajot is known as the spouse of acclaimed French film director Claude Chabrol.
E421306 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: Aurore Pajot | Statement: [Claude Chabrol, spouse, Aurore Pajot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aurore Pajot
Context triple: [Claude Chabrol, spouse, Aurore Pajot]
  • A. Tiphaine Auzière
    Tiphaine Auzière is a French lawyer and political figure known both for her legal career and as the daughter of France’s First Lady, Brigitte Macron.
  • B. Aurélie Charillon
    Aurélie Charillon is a French local politician serving as the mayor of the commune of Prévessin-Moëns in eastern France.
  • C. Aurania Rouverol
    Aurania Rouverol was an American playwright and screenwriter best known for creating the character of Andy Hardy, which inspired the popular MGM film series.
  • D. Noëlle Boisson
    Noëlle Boisson is a French film editor known for her work on numerous acclaimed international films, including major historical and dramatic features.
  • E. Emmanuelle Vaugier
    Emmanuelle Vaugier is a Canadian actress and model known for her roles in film and television, including appearances in projects like "Two and a Half Men," "Smallville," and various genre films.
  • 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: Aurore Pajot
Triple: [Claude Chabrol, spouse, Aurore Pajot]
Generated description
Aurore Pajot is known as the spouse of acclaimed French film director Claude Chabrol.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aurore Pajot
Target entity description: Aurore Pajot is known as the spouse of acclaimed French film director Claude Chabrol.
  • A. Tiphaine Auzière
    Tiphaine Auzière is a French lawyer and political figure known both for her legal career and as the daughter of France’s First Lady, Brigitte Macron.
  • B. Aurélie Charillon
    Aurélie Charillon is a French local politician serving as the mayor of the commune of Prévessin-Moëns in eastern France.
  • C. Aurania Rouverol
    Aurania Rouverol was an American playwright and screenwriter best known for creating the character of Andy Hardy, which inspired the popular MGM film series.
  • D. Noëlle Boisson
    Noëlle Boisson is a French film editor known for her work on numerous acclaimed international films, including major historical and dramatic features.
  • E. Emmanuelle Vaugier
    Emmanuelle Vaugier is a Canadian actress and model known for her roles in film and television, including appearances in projects like "Two and a Half Men," "Smallville," and various genre films.
  • 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_69b3451743608190808f41d17ccf2650 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b3480cfacc81909a2705eb4e9ce8c1 completed March 12, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b59628da008190ae0e458ed3a5890b completed March 14, 2026, 5:08 p.m.
NEDg Description generation batch_69b596b7330081908c66a5a756531ffd completed March 14, 2026, 5:11 p.m.
NED2 Entity disambiguation (via description) batch_69b59762105481908e3534600486b82d completed March 14, 2026, 5:14 p.m.
Created at: March 12, 2026, 11:03 p.m.