Triple

T17094889
Position Surface form Disambiguated ID Type / Status
Subject New York School of Fine and Applied Art E414819 entity
Predicate hasAlumni P51 FINISHED
Object Betsey Johnson E1143459 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: Betsey Johnson | Statement: [New York School of Fine and Applied Art, hasAlumni, Betsey Johnson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Betsey Johnson
Context triple: [New York School of Fine and Applied Art, hasAlumni, Betsey Johnson]
  • A. Betsey Johnson chosen
    Betsey Johnson is an American fashion designer known for her whimsical, colorful, and exuberant clothing designs and her playful, cartwheeling runway finales.
  • B. Nicole Miller
    Nicole Miller is an American fashion designer renowned for her modern, feminine womenswear and bold use of color and print.
  • C. Cynthia Rowley
    Cynthia Rowley is an American fashion designer known for her playful, colorful, and adventurous ready-to-wear and accessories collections.
  • D. Jill Stuart
    Jill Stuart is an American fashion designer known for her contemporary, feminine clothing and accessories label popular on international runways.
  • E. Donna Karan
    Donna Karan is an influential American fashion designer best known for founding the DKNY label and redefining modern women’s workwear with her sleek, versatile designs.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbfc9158819081689d3d594a1908 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139fbcbc08190be2a96d03daf0384 completed May 11, 2026, 2:07 a.m.
Created at: April 10, 2026, 5:35 a.m.