Triple

T11559641
Position Surface form Disambiguated ID Type / Status
Subject 3-Step Skin Care System E274107 entity
Predicate brand P1500 FINISHED
Object Clinique E52784 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: Clinique | Statement: [3-Step Skin Care System, brand, Clinique]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clinique
Context triple: [3-Step Skin Care System, brand, Clinique]
  • A. Clinique chosen
    Clinique is an American skincare and cosmetics brand known for its dermatologist-developed, fragrance-free products and clinical approach to beauty.
  • B. Lancôme
    Lancôme is a French luxury cosmetics and skincare brand renowned for its high-end perfumes, makeup, and beauty products.
  • C. Kiehl's
    Kiehl's is an American skincare and cosmetics brand known for its apothecary-style stores and science-driven formulations.
  • D. Mustela
    Mustela is a genus of small to medium-sized carnivorous mammals that includes weasels, stoats, ferrets, and related species found across much of the world.
  • E. Nivea
    Nivea is an American R&B singer best known for her early-2000s hits like "Don't Mess with My Man" and collaborations with prominent hip-hop artists.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88a899d4481909a3bce3147763b51 completed April 10, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e713a7e16481908faabcafe11daf37 completed April 21, 2026, 6:05 a.m.
Created at: April 8, 2026, 9:37 p.m.