Triple

T1785740
Position Surface form Disambiguated ID Type / Status
Subject Elle E39387 entity
Predicate hasEdition P35 FINISHED
Object Elle France
Elle France is the French edition of the international women's fashion and lifestyle magazine Elle, known for its coverage of style, beauty, culture, and current affairs.
 E198227 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: Elle France | Statement: [Elle, hasEdition, Elle France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elle France
Context triple: [Elle, hasEdition, Elle France]
  • A. Micheline
    Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
  • B. Fran
    Fran is a common shortened given name, typically used as a diminutive of Frances or Francis.
  • C. Aline Charigot
    Aline Charigot was the wife and frequent model of French Impressionist painter Pierre-Auguste Renoir, appearing in several of his notable works.
  • D. Françoise
    Françoise is the given name of Louise de La Vallière, a 17th-century French noblewoman best known as a mistress of King Louis XIV.
  • E. Estelle
    Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
  • 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: Elle France
Triple: [Elle, hasEdition, Elle France]
Generated description
Elle France is the French edition of the international women's fashion and lifestyle magazine Elle, known for its coverage of style, beauty, culture, and current affairs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elle France
Target entity description: Elle France is the French edition of the international women's fashion and lifestyle magazine Elle, known for its coverage of style, beauty, culture, and current affairs.
  • A. Micheline
    Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
  • B. Fran
    Fran is a common shortened given name, typically used as a diminutive of Frances or Francis.
  • C. Aline Charigot
    Aline Charigot was the wife and frequent model of French Impressionist painter Pierre-Auguste Renoir, appearing in several of his notable works.
  • D. Françoise
    Françoise is the given name of Louise de La Vallière, a 17th-century French noblewoman best known as a mistress of King Louis XIV.
  • E. Estelle
    Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa650d304481908ad9bff3eadf7da6 completed March 6, 2026, 5:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada9a476448190b072361fe4b41537 completed March 8, 2026, 4:53 p.m.
NEDg Description generation batch_69adab05cf6c81909f4713664f508ad9 completed March 8, 2026, 4:59 p.m.
NED2 Entity disambiguation (via description) batch_69adaeb20390819098bad8951ec00d00 completed March 8, 2026, 5:15 p.m.
Created at: March 4, 2026, 7:31 p.m.