Triple

T6692925
Position Surface form Disambiguated ID Type / Status
Subject Biolage E152672 entity
Predicate hasProductLine P3585 FINISHED
Object Biolage Smoothproof E152672 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: Biolage Smoothproof | Statement: [Biolage, hasProductLine, Biolage Smoothproof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biolage Smoothproof
Context triple: [Biolage, hasProductLine, Biolage Smoothproof]
  • A. Biolage chosen
    Biolage is a professional haircare brand known for salon-quality products that emphasize botanical ingredients and sustainable practices.
  • B. Nexxus
    Nexxus is a professional hair care brand known for its salon-quality shampoos, conditioners, and styling products.
  • C. Pureology
    Pureology is a professional haircare brand best known for its sulfate-free, color-protecting products used in salons and at home.
  • D. Tresemmé
    Tresemmé is a popular hair care brand known for its salon-inspired shampoos, conditioners, and styling products widely available in retail stores.
  • E. Sunsilk
    Sunsilk is a popular global hair care brand known for its shampoos and conditioners, owned by the multinational company Unilever.
  • 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_69c6880687b08190805278b504d1c92c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6b1955e448190adbfed7dc28f8c52 completed March 27, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7007d2cb881909cebe2ab0d55ce3d completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:05 p.m.