Triple

T6533527
Position Surface form Disambiguated ID Type / Status
Subject Great Lash mascara E152289 entity
Predicate manufacturer P490 FINISHED
Object Maybelline 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 | Statement: [Great Lash mascara, manufacturer, Maybelline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maybelline
Context triple: [Great Lash mascara, manufacturer, Maybelline]
  • 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. Revlon
    Revlon is a major American cosmetics, skincare, fragrance, and personal care company known for its mass-market beauty products and global brand presence.
  • C. 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.
  • D. Essie
    Essie is a popular nail polish and nail care brand known for its wide range of fashion-forward colors and salon-quality formulas.
  • E. Lancôme
    Lancôme is a French luxury cosmetics and skincare brand renowned for its high-end perfumes, makeup, and beauty products.
  • 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_69c688048ec8819093a47f7d332e12ec completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6adbf3a748190b0fb52122faaf6d3 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d532b5348190986cf30883ed147b completed March 27, 2026, 7:06 p.m.
Created at: March 27, 2026, 1:46 p.m.