Triple

T1785741
Position Surface form Disambiguated ID Type / Status
Subject Elle E39387 entity
Predicate hasEdition P35 FINISHED
Object Elle USA
Elle USA is the American edition of the international fashion and lifestyle magazine Elle, featuring coverage of style, beauty, culture, and celebrity news tailored to a U.S. audience.
 E198228 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 USA | Statement: [Elle, hasEdition, Elle USA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elle USA
Context triple: [Elle, hasEdition, Elle USA]
  • A. La Coupée
    La Coupée is a dramatic, narrow isthmus with steep cliffs and a coastal road that forms the striking land bridge between the main island of Sark and Little Sark in the Channel Islands.
  • B. Micheline
    Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
  • C. L’Auto
    L’Auto was a French sports newspaper best known for creating and organizing the Tour de France.
  • D. Céline
    Céline is the French given name of internationally renowned Canadian singer Céline Dion.
  • E. Éclat
    Éclat is a 1965 chamber work by Pierre Boulez that explores shimmering timbres, intricate textures, and flexible time through a distinctive ensemble of piano and selected instruments.
  • 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 USA
Triple: [Elle, hasEdition, Elle USA]
Generated description
Elle USA is the American edition of the international fashion and lifestyle magazine Elle, featuring coverage of style, beauty, culture, and celebrity news tailored to a U.S. audience.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elle USA
Target entity description: Elle USA is the American edition of the international fashion and lifestyle magazine Elle, featuring coverage of style, beauty, culture, and celebrity news tailored to a U.S. audience.
  • A. La Coupée
    La Coupée is a dramatic, narrow isthmus with steep cliffs and a coastal road that forms the striking land bridge between the main island of Sark and Little Sark in the Channel Islands.
  • B. Micheline
    Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
  • C. L’Auto
    L’Auto was a French sports newspaper best known for creating and organizing the Tour de France.
  • D. Céline
    Céline is the French given name of internationally renowned Canadian singer Céline Dion.
  • E. Éclat
    Éclat is a 1965 chamber work by Pierre Boulez that explores shimmering timbres, intricate textures, and flexible time through a distinctive ensemble of piano and selected instruments.
  • 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.