Triple

T6567467
Position Surface form Disambiguated ID Type / Status
Subject Colossal mascara E153944 entity
Predicate brand P1500 FINISHED
Object Maybelline New York E28311 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: Maybelline New York | Statement: [Colossal mascara, brand, Maybelline New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maybelline New York
Context triple: [Colossal mascara, brand, Maybelline New York]
  • A. Maybelline New York chosen
    Maybelline New York is a major American cosmetics and beauty brand known worldwide for its mass-market makeup products.
  • B. 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.
  • C. Revlon
    Revlon is a major American cosmetics, skincare, fragrance, and personal care company known for its mass-market beauty products and global brand presence.
  • D. Benefit Cosmetics
    Benefit Cosmetics is a San Francisco–born beauty brand known for its playful packaging and bestselling brow and complexion products, and is part of the luxury group LVMH.
  • E. CoverGirl
    CoverGirl is a major American cosmetics brand known for its mass-market makeup products and high-profile celebrity spokesmodels.
  • 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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae5381e88190b44dc4440efdd8ae completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7006679688190af29dee17dcbf65d completed March 27, 2026, 10:10 p.m.
Created at: March 27, 2026, 1:53 p.m.