Triple

T1866454
Position Surface form Disambiguated ID Type / Status
Subject Sir Walter Scott E34931 entity
Predicate spouse P13 FINISHED
Object Charlotte Charpentier
Charlotte Charpentier was the wife of renowned Scottish novelist and poet Sir Walter Scott.
E224963 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: Charlotte Charpentier | Statement: [Sir Walter Scott, spouse, Charlotte Charpentier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlotte Charpentier
Context triple: [Sir Walter Scott, spouse, Charlotte Charpentier]
  • A. Aurélia Thierrée
    Aurélia Thierrée is a French actress and circus performer known for her surreal, dreamlike stage shows that blend physical theatre, mime, and illusion.
  • B. Marguerite De La Motte
    Marguerite De La Motte was an American silent film actress best known for her leading roles in early 1920s adventure and drama films.
  • C. Marguerite Gaudelet
    Marguerite Gaudelet was the wife of French civil engineer Gustave Eiffel, famed designer of the Eiffel Tower.
  • D. Camille Lefèvre
    Camille Lefèvre was a Swiss architect best known for co-designing the Palais des Nations, the former League of Nations headquarters in Geneva.
  • E. Anne Bauchens
    Anne Bauchens was an American film editor best known for her long collaboration with director Cecil B. DeMille and for being one of the first women to win an Academy Award for film editing.
  • 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: Charlotte Charpentier
Triple: [Sir Walter Scott, spouse, Charlotte Charpentier]
Generated description
Charlotte Charpentier was the wife of renowned Scottish novelist and poet Sir Walter Scott.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Charlotte Charpentier
Target entity description: Charlotte Charpentier was the wife of renowned Scottish novelist and poet Sir Walter Scott.
  • A. Aurélia Thierrée
    Aurélia Thierrée is a French actress and circus performer known for her surreal, dreamlike stage shows that blend physical theatre, mime, and illusion.
  • B. Marguerite De La Motte
    Marguerite De La Motte was an American silent film actress best known for her leading roles in early 1920s adventure and drama films.
  • C. Marguerite Gaudelet
    Marguerite Gaudelet was the wife of French civil engineer Gustave Eiffel, famed designer of the Eiffel Tower.
  • D. Camille Lefèvre
    Camille Lefèvre was a Swiss architect best known for co-designing the Palais des Nations, the former League of Nations headquarters in Geneva.
  • E. Anne Bauchens
    Anne Bauchens was an American film editor best known for her long collaboration with director Cecil B. DeMille and for being one of the first women to win an Academy Award for film editing.
  • 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_69a88600b2f88190bc09303e68ab517e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb0b5978c81909390f2cbd716ccaf completed March 7, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0abe93f88190869b17557098ebbe completed March 8, 2026, 11:48 p.m.
NEDg Description generation batch_69ae0b62dd048190acf6f9d76e5bfd47 completed March 8, 2026, 11:50 p.m.
NED2 Entity disambiguation (via description) batch_69ae0be695cc819093c237e19de9b731 completed March 8, 2026, 11:53 p.m.
Created at: March 4, 2026, 7:34 p.m.