Triple

T17094879
Position Surface form Disambiguated ID Type / Status
Subject New York School of Fine and Applied Art E414819 entity
Predicate hasAlumni P51 FINISHED
Object Anna Sui
Anna Sui is an American fashion designer renowned for her eclectic, vintage-inspired aesthetic and influential presence in global fashion.
E1250057 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: Anna Sui | Statement: [New York School of Fine and Applied Art, hasAlumni, Anna Sui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Sui
Context triple: [New York School of Fine and Applied Art, hasAlumni, Anna Sui]
  • A. Vera Wang
    Vera Wang is an American fashion designer renowned for her luxury bridal gowns and influential eveningwear collections.
  • B. Jill Stuart
    Jill Stuart is an American fashion designer known for her contemporary, feminine clothing and accessories label popular on international runways.
  • C. Nicole Miller
    Nicole Miller is an American fashion designer renowned for her modern, feminine womenswear and bold use of color and print.
  • D. Cynthia Rowley
    Cynthia Rowley is an American fashion designer known for her playful, colorful, and adventurous ready-to-wear and accessories collections.
  • E. Betsey Johnson
    Betsey Johnson is an American fashion designer known for her whimsical, colorful, and exuberant clothing designs and her playful, cartwheeling runway finales.
  • 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: Anna Sui
Triple: [New York School of Fine and Applied Art, hasAlumni, Anna Sui]
Generated description
Anna Sui is an American fashion designer renowned for her eclectic, vintage-inspired aesthetic and influential presence in global fashion.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anna Sui
Target entity description: Anna Sui is an American fashion designer renowned for her eclectic, vintage-inspired aesthetic and influential presence in global fashion.
  • A. Vera Wang
    Vera Wang is an American fashion designer renowned for her luxury bridal gowns and influential eveningwear collections.
  • B. Jill Stuart
    Jill Stuart is an American fashion designer known for her contemporary, feminine clothing and accessories label popular on international runways.
  • C. Nicole Miller
    Nicole Miller is an American fashion designer renowned for her modern, feminine womenswear and bold use of color and print.
  • D. Cynthia Rowley
    Cynthia Rowley is an American fashion designer known for her playful, colorful, and adventurous ready-to-wear and accessories collections.
  • E. Betsey Johnson
    Betsey Johnson is an American fashion designer known for her whimsical, colorful, and exuberant clothing designs and her playful, cartwheeling runway finales.
  • 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_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_6a012eedfd7c8190b267dedd403f5f2b completed May 11, 2026, 1:20 a.m.
NEDg Description generation batch_6a01302666a48190b7d7c33306e63911 completed May 11, 2026, 1:25 a.m.
NED2 Entity disambiguation (via description) batch_6a01308426a48190882dd057126bc43a completed May 11, 2026, 1:27 a.m.
Created at: April 10, 2026, 5:35 a.m.