Triple

T22039845
Position Surface form Disambiguated ID Type / Status
Subject Charlotte Ronson E544308 entity
Predicate designedFor P98 FINISHED
Object Urban Outfitters NE NERFINISHED

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: Urban Outfitters | Statement: [Charlotte Ronson, designedFor, Urban Outfitters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Urban Outfitters
Context triple: [Charlotte Ronson, designedFor, Urban Outfitters]
  • A. Urban Outfitters, Inc. chosen
    Urban Outfitters, Inc. is an American multinational lifestyle retail corporation known for its youth-oriented fashion, home décor, and accessories brands.
  • B. Nasty Gal
    Nasty Gal is a 1969 funk and soul album by singer Betty Davis, known for its raw, aggressive sound and Davis’s pioneering, sexually liberated persona.
  • C. Osborne & Little
    Osborne & Little is a renowned British design company celebrated for its luxury wallpapers and fabrics, known for innovative patterns and high-end interior furnishings.
  • D. Free People
    Free People is a contemporary American fashion brand known for its bohemian-inspired women’s clothing, accessories, and lifestyle products.
  • E. Madewell
    Madewell is an American fashion brand best known for its casual, denim-focused clothing and accessories.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127f532b08190be80c5af039b4c29 completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:25 p.m.