Triple

T20467066
Position Surface form Disambiguated ID Type / Status
Subject Sophie Vavasseur E502078 entity
Predicate familyName P18 FINISHED
Object Vavasseur
Vavasseur is a French-origin surname borne by individuals such as Irish actress Sophie Vavasseur.
E1432717 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: Vavasseur | Statement: [Sophie Vavasseur, familyName, Vavasseur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vavasseur
Context triple: [Sophie Vavasseur, familyName, Vavasseur]
  • A. Ruland
    Ruland is a surname most notably associated with former professional basketball player and coach Jeff Ruland.
  • B. Balard
    Balard is a Paris Métro station in the 15th arrondissement, serving as a key transport hub near the Parc des Expositions and several major administrative and military sites.
  • C. Nucourt
    Nucourt is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
  • D. Ferwert
    Ferwert is a village in the Dutch province of Friesland, known for its historic church and traditional Frisian character.
  • E. Chavignol
    Chavignol is a small village in France’s Loire Valley renowned for its traditional goat’s milk cheese, Crottin de Chavignol.
  • 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: Vavasseur
Triple: [Sophie Vavasseur, familyName, Vavasseur]
Generated description
Vavasseur is a French-origin surname borne by individuals such as Irish actress Sophie Vavasseur.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vavasseur
Target entity description: Vavasseur is a French-origin surname borne by individuals such as Irish actress Sophie Vavasseur.
  • A. Ruland
    Ruland is a surname most notably associated with former professional basketball player and coach Jeff Ruland.
  • B. Balard
    Balard is a Paris Métro station in the 15th arrondissement, serving as a key transport hub near the Parc des Expositions and several major administrative and military sites.
  • C. Nucourt
    Nucourt is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
  • D. Ferwert
    Ferwert is a village in the Dutch province of Friesland, known for its historic church and traditional Frisian character.
  • E. Chavignol
    Chavignol is a small village in France’s Loire Valley renowned for its traditional goat’s milk cheese, Crottin de Chavignol.
  • 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6995d9d1c81909ee223a35a0850ba completed April 20, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a088b1a82a88190a5f531c43cdd15cb completed May 16, 2026, 3:19 p.m.
NEDg Description generation batch_6a088c9b40788190b76ef5c582996d34 completed May 16, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_6a088d186a38819085c8809560e94745 completed May 16, 2026, 3:28 p.m.
Created at: April 16, 2026, 11:33 a.m.