Triple

T2445028
Position Surface form Disambiguated ID Type / Status
Subject Harajuku E53370 entity
Predicate styleAssociatedWith P8654 FINISHED
Object Decora fashion
Decora fashion is a colorful and playful Japanese street style characterized by layering bright clothing and adorning the body with an abundance of cute, often plastic accessories.
E267092 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: Decora fashion | Statement: [Harajuku, styleAssociatedWith, Decora fashion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Decora fashion
Context triple: [Harajuku, styleAssociatedWith, Decora fashion]
  • A. Fashn
    Fashn is a city in Egypt located within the Beni Suef Governorate along the Nile River.
  • B. Adorn
    "Adorn" is a Grammy-winning R&B single by American singer Miguel, known for its smooth vocals and sensual, minimalist production.
  • C. DLA Design
    DLA Design is an architectural firm known for designing major public venues, including the Manchester Arena in the United Kingdom.
  • D. Gebbia
    Gebbia is the surname of Joe Gebbia, the American designer and entrepreneur best known as a co-founder of Airbnb.
  • E. Fashion Avenue
    Fashion Avenue is the nickname for Manhattan’s Seventh Avenue, a major New York City thoroughfare historically associated with the garment and fashion industry.
  • 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: Decora fashion
Triple: [Harajuku, styleAssociatedWith, Decora fashion]
Generated description
Decora fashion is a colorful and playful Japanese street style characterized by layering bright clothing and adorning the body with an abundance of cute, often plastic accessories.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Decora fashion
Target entity description: Decora fashion is a colorful and playful Japanese street style characterized by layering bright clothing and adorning the body with an abundance of cute, often plastic accessories.
  • A. Fashn
    Fashn is a city in Egypt located within the Beni Suef Governorate along the Nile River.
  • B. Adorn
    "Adorn" is a Grammy-winning R&B single by American singer Miguel, known for its smooth vocals and sensual, minimalist production.
  • C. DLA Design
    DLA Design is an architectural firm known for designing major public venues, including the Manchester Arena in the United Kingdom.
  • D. Gebbia
    Gebbia is the surname of Joe Gebbia, the American designer and entrepreneur best known as a co-founder of Airbnb.
  • E. Fashion Avenue
    Fashion Avenue is the nickname for Manhattan’s Seventh Avenue, a major New York City thoroughfare historically associated with the garment and fashion industry.
  • 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_69ab495b6dac8190ac82661aa1452222 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd0db08948190b2a9e36aebbcdaa1 completed March 7, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0baa6448190a4046a039168b8fe completed March 9, 2026, 4:09 p.m.
NEDg Description generation batch_69aef58eff2c81909cbf3346705940a3 completed March 9, 2026, 4:30 p.m.
NED2 Entity disambiguation (via description) batch_69aef656ae0c81908753cc5a8b5fe704 completed March 9, 2026, 4:33 p.m.
Created at: March 6, 2026, 9:43 p.m.