Triple

T14116544
Position Surface form Disambiguated ID Type / Status
Subject Herbal Essences E339789 entity
Predicate hasProductLine P3585 FINISHED
Object Herbal Essences bio:renew E339789 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: Herbal Essences bio:renew | Statement: [Herbal Essences, hasProductLine, Herbal Essences bio:renew]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herbal Essences bio:renew
Context triple: [Herbal Essences, hasProductLine, Herbal Essences bio:renew]
  • A. Herbal Essences chosen
    Herbal Essences is a popular hair care brand known for its fragranced shampoos and conditioners often marketed with botanical and natural imagery.
  • B. Biolage
    Biolage is a professional haircare brand known for salon-quality products that emphasize botanical ingredients and sustainable practices.
  • C. Aveda
    Aveda is a beauty and personal care brand known for its plant-based, environmentally conscious hair, skin, and body products and its strong commitment to sustainability.
  • D. Pureology
    Pureology is a professional haircare brand best known for its sulfate-free, color-protecting products used in salons and at home.
  • E. Garnier Fructis
    Garnier Fructis is a popular hair care brand known for its fruit-based formulas and wide range of shampoos, conditioners, and styling 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6010a03c81909f5f160f8d1fa8fa completed April 14, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0baa328819099511dfa7b9666d3 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:22 p.m.