Triple

T16630345
Position Surface form Disambiguated ID Type / Status
Subject Sara Blakely E404061 entity
Predicate notableWork P4 FINISHED
Object Spanx
Spanx is a popular American shapewear and apparel brand known for its body-slimming undergarments and innovative hosiery.
E1225177 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: Spanx | Statement: [Sara Blakely, notableWork, Spanx]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spanx
Context triple: [Sara Blakely, notableWork, Spanx]
  • A. Wacoal
    Wacoal is a Japanese company best known as a leading manufacturer and retailer of women's lingerie and intimate apparel.
  • B. Maidenform
    Maidenform is a well-known American lingerie and shapewear brand recognized for its bras, panties, and intimate apparel.
  • C. Sheex
    Sheex is a performance bedding company known for its athletic-inspired, moisture-wicking sheets and sleepwear.
  • D. Fopp
    Fopp is an early Soundgarden EP featuring bassist Hiro Yamamoto, known for its heavy, funk-influenced take on rock.
  • E. Baby Phat
    Baby Phat is a fashion brand best known for its early-2000s streetwear and glamorous, hip-hop-inspired women’s apparel and accessories.
  • 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: Spanx
Triple: [Sara Blakely, notableWork, Spanx]
Generated description
Spanx is a popular American shapewear and apparel brand known for its body-slimming undergarments and innovative hosiery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Spanx
Target entity description: Spanx is a popular American shapewear and apparel brand known for its body-slimming undergarments and innovative hosiery.
  • A. Wacoal
    Wacoal is a Japanese company best known as a leading manufacturer and retailer of women's lingerie and intimate apparel.
  • B. Maidenform
    Maidenform is a well-known American lingerie and shapewear brand recognized for its bras, panties, and intimate apparel.
  • C. Sheex
    Sheex is a performance bedding company known for its athletic-inspired, moisture-wicking sheets and sleepwear.
  • D. Fopp
    Fopp is an early Soundgarden EP featuring bassist Hiro Yamamoto, known for its heavy, funk-influenced take on rock.
  • E. Baby Phat
    Baby Phat is a fashion brand best known for its early-2000s streetwear and glamorous, hip-hop-inspired women’s apparel and accessories.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e4db5081908a6085f1bc2d65b8 completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007dbc6cf48190879b25e66c9453db completed May 10, 2026, 12:44 p.m.
NEDg Description generation batch_6a0081baf8188190be95383ffe68fbb8 completed May 10, 2026, 1:01 p.m.
NED2 Entity disambiguation (via description) batch_6a008239a5348190aea3820cf8a7d3f6 completed May 10, 2026, 1:03 p.m.
Created at: April 10, 2026, 5:17 a.m.