Triple

T6874350
Position Surface form Disambiguated ID Type / Status
Subject Hyalu B5 E158635 entity
Predicate brandLineOf P64700 FINISHED
Object La Roche-Posay E29296 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: La Roche-Posay | Statement: [Hyalu B5, brandLineOf, La Roche-Posay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Roche-Posay
Context triple: [Hyalu B5, brandLineOf, La Roche-Posay]
  • A. La Roche-Posay chosen
    La Roche-Posay is a French dermatological skincare brand known for its sensitive-skin-friendly formulas developed with thermal spring water and widely recommended by dermatologists.
  • B. Biotherm
    Biotherm is a French skincare brand known for its use of aquatic ingredients and scientifically driven formulas for face and body care.
  • C. Laboratoires Pierre Fabre
    Laboratoires Pierre Fabre is a French pharmaceutical and dermo-cosmetics company known for brands like Avène and Klorane and for integrating research, production, and distribution of health and beauty products.
  • D. 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.
  • E. Kiehl's
    Kiehl's is an American skincare and cosmetics brand known for its apothecary-style stores and science-driven formulations.
  • 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_69c68832af1481908ce356e133ebaebe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6e1cfd8fc81908efb83c061cb8e4f completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c77056c8190b2448453dfb97894 completed March 28, 2026, 9:16 a.m.
Created at: March 27, 2026, 2:22 p.m.