Triple

T3262583
Position Surface form Disambiguated ID Type / Status
Subject Kylie Jenner E68445 entity
Predicate knownFor P22 FINISHED
Object cosmetics brand Kylie Cosmetics E330275 NE FINISHED

How this triple was built (2 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: cosmetics brand Kylie Cosmetics | Statement: [Kylie Jenner, knownFor, cosmetics brand Kylie Cosmetics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: cosmetics brand Kylie Cosmetics
Context triple: [Kylie Jenner, knownFor, cosmetics brand Kylie Cosmetics]
  • A. Kylie Cosmetics chosen
    Kylie Cosmetics is a makeup and beauty brand founded by Kylie Jenner, known for its trend-setting lip kits and social media–driven marketing.
  • B. KKW Beauty
    KKW Beauty is a cosmetics brand founded by media personality Kim Kardashian, known for its contouring products, neutral-toned palettes, and social media–driven marketing.
  • C. Maybelline New York
    Maybelline New York is a major American cosmetics and beauty brand known worldwide for its mass-market makeup products.
  • D. Kylie Skin
    Kylie Skin is a skincare line founded by Kylie Jenner offering a range of cleansers, moisturizers, and related beauty products.
  • E. NYX Professional Makeup
    NYX Professional Makeup is a popular, affordable cosmetics brand known for its wide range of highly pigmented, trend-driven makeup products favored by both professionals and everyday consumers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafa908e881908cbb2ad137819ffb completed March 8, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a698ab08190b558c4ff3f9b27fc completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:09 p.m.