Triple

T2190539
Position Surface form Disambiguated ID Type / Status
Subject Neutrogena E49849 entity
Predicate hasBrandLine P6092 FINISHED
Object Neutrogena Ultra Sheer E49849 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: Neutrogena Ultra Sheer | Statement: [Neutrogena, hasBrandLine, Neutrogena Ultra Sheer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neutrogena Ultra Sheer
Context triple: [Neutrogena, hasBrandLine, Neutrogena Ultra Sheer]
  • A. Neutrogena chosen
    Neutrogena is a widely recognized skincare and cosmetics brand known for its dermatologist-recommended products, including facial cleansers, moisturizers, sunscreens, and acne treatments.
  • B. Dermablend
    Dermablend is a professional-grade cosmetic brand known for its high-coverage, dermatologist-tested makeup products designed to conceal skin imperfections and provide long-lasting wear.
  • C. Maybelline New York
    Maybelline New York is a major American cosmetics and beauty brand known worldwide for its mass-market makeup products.
  • D. Clinique
    Clinique is an American skincare and cosmetics brand known for its dermatologist-developed, fragrance-free products and clinical approach to beauty.
  • E. Kiehl's
    Kiehl's is an American skincare and cosmetics brand known for its apothecary-style stores and science-driven formulations.
  • 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_69a88aaba3c48190b351cab9b26989ff completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc5b101d48190a321625720d537b6 completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae65427de48190be3dbc9c0a888332 completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:46 p.m.