Triple

T3755909
Position Surface form Disambiguated ID Type / Status
Subject Uniqlo E82045 entity
Predicate flagshipProduct P9819 FINISHED
Object AIRism innerwear
AIRism innerwear is Uniqlo’s high-tech, lightweight clothing line designed to keep the wearer cool, dry, and comfortable through advanced breathable and moisture-wicking fabrics.
E385981 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: AIRism innerwear | Statement: [Uniqlo, flagshipProduct, AIRism innerwear]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AIRism innerwear
Context triple: [Uniqlo, flagshipProduct, AIRism innerwear]
  • A. Pashons
    Pashons is the ninth month of the Coptic calendar, traditionally associated with the harvest season in Egypt.
  • B. Wacoal
    Wacoal is a Japanese company best known as a leading manufacturer and retailer of women's lingerie and intimate apparel.
  • C. Vestini
    The Vestini were an ancient Italic tribe that inhabited the central Apennine region of Italy, particularly in what is now Abruzzo, during the pre-Roman and early Roman periods.
  • D. Missoni
    Missoni is an Italian luxury fashion house renowned for its colorful knitwear and distinctive zigzag patterns.
  • E. Marchesa
    Marchesa is the Italian noble title traditionally used to designate a woman holding the rank of marquess.
  • 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: AIRism innerwear
Triple: [Uniqlo, flagshipProduct, AIRism innerwear]
Generated description
AIRism innerwear is Uniqlo’s high-tech, lightweight clothing line designed to keep the wearer cool, dry, and comfortable through advanced breathable and moisture-wicking fabrics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AIRism innerwear
Target entity description: AIRism innerwear is Uniqlo’s high-tech, lightweight clothing line designed to keep the wearer cool, dry, and comfortable through advanced breathable and moisture-wicking fabrics.
  • A. Pashons
    Pashons is the ninth month of the Coptic calendar, traditionally associated with the harvest season in Egypt.
  • B. Wacoal
    Wacoal is a Japanese company best known as a leading manufacturer and retailer of women's lingerie and intimate apparel.
  • C. Vestini
    The Vestini were an ancient Italic tribe that inhabited the central Apennine region of Italy, particularly in what is now Abruzzo, during the pre-Roman and early Roman periods.
  • D. Missoni
    Missoni is an Italian luxury fashion house renowned for its colorful knitwear and distinctive zigzag patterns.
  • E. Marchesa
    Marchesa is the Italian noble title traditionally used to designate a woman holding the rank of marquess.
  • 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_69ad8b1db40081908b61ffa6b78afd4d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb96dd908190b787b112ecd519df completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e50bfdb0819097bdfdd38f553ada completed March 14, 2026, 4:33 a.m.
NEDg Description generation batch_69b4e6c7164881909f14bf5b57916ae3 completed March 14, 2026, 4:40 a.m.
NED2 Entity disambiguation (via description) batch_69b4e74df9b481909d5286c64ae6d91a completed March 14, 2026, 4:42 a.m.
Created at: March 8, 2026, 3:35 p.m.