Triple

T15971358
Position Surface form Disambiguated ID Type / Status
Subject Huda Beauty E387330 entity
Predicate distributionChannel P1486 FINISHED
Object Sephora E324685 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: Sephora | Statement: [Huda Beauty, distributionChannel, Sephora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sephora
Context triple: [Huda Beauty, distributionChannel, Sephora]
  • A. Sephora
    Sephora is a character in the 1956 biblical epic film "The Ten Commandments," depicted as Moses' Midianite wife Zipporah.
  • B. Sephora chosen
    Sephora is a global beauty retail chain known for its wide selection of cosmetics, skincare, and fragrance brands and its experiential, try-before-you-buy store concept.
  • C. Ulta Beauty
    Ulta Beauty is a major American beauty retailer offering a wide range of cosmetics, skincare, haircare, and fragrance products from both mass and prestige brands.
  • D. Harrods Beauty
    Harrods Beauty is the luxury beauty and cosmetics department of the Harrods department store, offering high-end skincare, makeup, fragrance, and related services.
  • E. Bath & Body Works
    Bath & Body Works is a major American retail chain specializing in scented personal care products, candles, and home fragrances, known for its mall-based stores and seasonal collections.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15729d73c8190a4140a0e55ee2566 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe88fa308190942d37cf67458396 completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:54 a.m.