Triple

T5859921
Position Surface form Disambiguated ID Type / Status
Subject Jung Ho-yeon E130249 entity
Predicate modelingFor P17880 FINISHED
Object Louis Vuitton E58476 NE FINISHED

How this triple was built (3 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: Louis Vuitton | Statement: [Jung Ho-yeon, modelingFor, Louis Vuitton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louis Vuitton
Context triple: [Jung Ho-yeon, modelingFor, Louis Vuitton]
  • A. Louis Vuitton chosen
    Louis Vuitton is a French luxury fashion house and brand renowned worldwide for its high-end leather goods, ready-to-wear, accessories, and iconic monogram designs.
  • B. Loewe
    Loewe is a Spanish luxury fashion house renowned for its high-end leather goods, ready-to-wear, and accessories.
  • C. Gucci
    Gucci is a renowned Italian luxury fashion house known for its high-end clothing, accessories, and iconic branding.
  • D. Kering
    Kering is a French multinational luxury group that owns and manages high-end fashion and leather goods brands such as Gucci, Saint Laurent, and Bottega Veneta.
  • E. Prada
    Prada is a renowned Italian luxury fashion house known for its high-end clothing, leather goods, and accessories.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: modelingFor
Context triple: [Jung Ho-yeon, modelingFor, Louis Vuitton]
  • A. model
    Indicates that one entity serves as a representation, example, or simulation of another entity or concept.
  • B. possibleModel
    Indicates that one entity can serve as a potential or candidate model or template for another entity.
  • C. hasModelledFor chosen
    Indicates that one entity has served as a model for another entity, typically in a professional or representational context such as art, photography, or fashion.
  • D. planningModelFor
    Indicates that one entity serves as a planning model used to guide, simulate, or structure the planning activities related to another entity.
  • E. designModel
    Indicates that one entity creates, specifies, or defines the structure or behavior of another entity as a model or blueprint.
  • F. None of above.

Provenance (4 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_69c0084f3bb08190a7720f55f7aa4252 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c044ab0a048190b84be40fb13c0f50 completed March 22, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e36fa8ac8190add9a5eb3ada4d0f completed March 23, 2026, 6:53 a.m.
PD Predicate disambiguation batch_69c03345ca0c819081c81148d054fed2 completed March 22, 2026, 6:21 p.m.
Created at: March 22, 2026, 3:56 p.m.