Triple

T6874283
Position Surface form Disambiguated ID Type / Status
Subject Lipikar E158633 entity
Predicate associatedWith P37 FINISHED
Object La Roche-Posay Thermal Spring Water 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 Thermal Spring Water | Statement: [Lipikar, associatedWith, La Roche-Posay Thermal Spring Water]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Roche-Posay Thermal Spring Water
Context triple: [Lipikar, associatedWith, La Roche-Posay Thermal Spring Water]
  • 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. Aveeno
    Aveeno is a skincare and haircare brand known for using natural ingredients like colloidal oatmeal in products designed for sensitive and dry skin.
  • D. CeraVe
    CeraVe is a dermatologist-developed skincare brand known for its ceramide-rich, fragrance-free products designed to restore and protect the skin barrier.
  • 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_69c68832af1481908ce356e133ebaebe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8c8d3888190b1c1f74aa66d6071 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748c35d488190a26785dbfe830066 completed March 28, 2026, 3:19 a.m.
Created at: March 27, 2026, 2:22 p.m.