Triple

T13184717
Position Surface form Disambiguated ID Type / Status
Subject Vanity Fair Brands E313817 entity
Predicate brandPortfolio P12124 FINISHED
Object Bestform
Bestform is an intimate apparel brand known for offering comfortable, supportive bras and lingerie for everyday wear.
 E1026979 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: Bestform | Statement: [Vanity Fair Brands, brandPortfolio, Bestform]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bestform
Context triple: [Vanity Fair Brands, brandPortfolio, Bestform]
  • A. Vormsi
    Vormsi is a sparsely populated Estonian island in the Baltic Sea known for its coastal landscapes, former Swedish-speaking community, and tranquil rural character.
  • B. Formmeister
    Formmeister is the German term used at the Bauhaus school for the master responsible for teaching and overseeing the artistic and formal aspects of design in a workshop.
  • C. Formas
    Formas is a Swedish government research council that funds research in the areas of environment, agricultural sciences, and spatial planning.
  • D. Pectacon
    Pectacon was the spice and pectin trading company in Amsterdam co-founded and managed by Otto Frank before and during the early years of World War II.
  • E. Kettler
    Kettler is a German sporting goods and leisure equipment manufacturer known for products such as bicycles, fitness equipment, and table tennis tables.
  • 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: Bestform
Triple: [Vanity Fair Brands, brandPortfolio, Bestform]
Generated description
Bestform is an intimate apparel brand known for offering comfortable, supportive bras and lingerie for everyday wear.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bestform
Target entity description: Bestform is an intimate apparel brand known for offering comfortable, supportive bras and lingerie for everyday wear.
  • A. Vormsi
    Vormsi is a sparsely populated Estonian island in the Baltic Sea known for its coastal landscapes, former Swedish-speaking community, and tranquil rural character.
  • B. Formmeister
    Formmeister is the German term used at the Bauhaus school for the master responsible for teaching and overseeing the artistic and formal aspects of design in a workshop.
  • C. Formas
    Formas is a Swedish government research council that funds research in the areas of environment, agricultural sciences, and spatial planning.
  • D. Pectacon
    Pectacon was the spice and pectin trading company in Amsterdam co-founded and managed by Otto Frank before and during the early years of World War II.
  • E. Kettler
    Kettler is a German sporting goods and leisure equipment manufacturer known for products such as bicycles, fitness equipment, and table tennis tables.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c4a0b0081908027bf77442ff5ff completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5f307408190afd0df16a417c456 completed May 3, 2026, 7:14 a.m.
NEDg Description generation batch_69f6f707d9e48190b772520ca9f4ac2c completed May 3, 2026, 7:19 a.m.
NED2 Entity disambiguation (via description) batch_69f6f85149cc8190adf68387475d3286 completed May 3, 2026, 7:25 a.m.
Created at: April 9, 2026, 9:15 p.m.