Triple

T13744594
Position Surface form Disambiguated ID Type / Status
Subject Corinne Foxx E330179 entity
Predicate modeledFor P2006 FINISHED
Object Ralph Lauren E39842 NE FINISHED

How this triple was built (2 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: Ralph Lauren | Statement: [Corinne Foxx, modeledFor, Ralph Lauren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ralph Lauren
Context triple: [Corinne Foxx, modeledFor, Ralph Lauren]
  • A. Ralph Lauren chosen
    Ralph Lauren is an American fashion designer and business executive best known for founding the Ralph Lauren Corporation and its iconic Polo Ralph Lauren brand.
  • B. Ralph Lauren Corporation
    Ralph Lauren Corporation is a global American fashion and lifestyle company known for its premium apparel, accessories, home furnishings, and iconic Polo brand.
  • C. David Lauren
    David Lauren is an American businessman and executive at the fashion company Ralph Lauren, founded by his father Ralph Lauren.
  • D. Perry Ellis
    Perry Ellis was an influential American fashion designer known for his innovative, relaxed approach to sportswear that helped redefine modern menswear and womenswear in the late 20th century.
  • E. Bill Blass
    Bill Blass was an influential American fashion designer known for his elegant, tailored womenswear and high-profile collaborations with major brands.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0211ba5481909fbd5b447e3d5a02 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a8501890819081152bc2e9c06836 completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:08 p.m.