Triple

T14373157
Position Surface form Disambiguated ID Type / Status
Subject Benefit Cosmetics E356404 entity
Predicate hasRetailPresence P87312 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: [Benefit Cosmetics, hasRetailPresence, Sephora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sephora
Context triple: [Benefit Cosmetics, hasRetailPresence, 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. 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.
  • D. 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.
  • E. Dior Beauty
    Dior Beauty is the cosmetics and fragrance division of the French luxury fashion house Dior, known for its high-end makeup, skincare, and perfumes.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9007184c8190aebb003cb6548cc8 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c5514688190be90776c8764d4f3 completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:15 a.m.