Triple

T1297324
Position Surface form Disambiguated ID Type / Status
Subject Lancôme E27682 entity
Predicate notableProductLine P3585 FINISHED
Object Teint Idole Ultra Wear
Teint Idole Ultra Wear is a long-wearing, full-coverage liquid foundation from Lancôme known for its matte finish and wide shade range.
E147866 NE FINISHED

How this triple was built (4 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: Teint Idole Ultra Wear | Statement: [Lancôme, notableProductLine, Teint Idole Ultra Wear]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teint Idole Ultra Wear
Context triple: [Lancôme, notableProductLine, Teint Idole Ultra Wear]
  • A. Tinte
    Tinte is a small village in the Dutch province of South Holland, known for its rural character and annual local festivities.
  • B. Revlon
    Revlon is a major American cosmetics, skincare, fragrance, and personal care company known for its mass-market beauty products and global brand presence.
  • C. Maybelline New York
    Maybelline New York is a major American cosmetics and beauty brand known worldwide for its mass-market makeup products.
  • D. CoverGirl
    CoverGirl is a major American cosmetics brand known for its mass-market makeup products and high-profile celebrity spokesmodels.
  • E. Velvet Brown
    Velvet Brown is the determined young English girl who dreams of racing her beloved horse to victory in the classic novel and film "National Velvet."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Teint Idole Ultra Wear
Triple: [Lancôme, notableProductLine, Teint Idole Ultra Wear]
Generated description
Teint Idole Ultra Wear is a long-wearing, full-coverage liquid foundation from Lancôme known for its matte finish and wide shade range.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Teint Idole Ultra Wear
Target entity description: Teint Idole Ultra Wear is a long-wearing, full-coverage liquid foundation from Lancôme known for its matte finish and wide shade range.
  • A. Tinte
    Tinte is a small village in the Dutch province of South Holland, known for its rural character and annual local festivities.
  • B. Revlon
    Revlon is a major American cosmetics, skincare, fragrance, and personal care company known for its mass-market beauty products and global brand presence.
  • C. Maybelline New York
    Maybelline New York is a major American cosmetics and beauty brand known worldwide for its mass-market makeup products.
  • D. CoverGirl
    CoverGirl is a major American cosmetics brand known for its mass-market makeup products and high-profile celebrity spokesmodels.
  • E. Velvet Brown
    Velvet Brown is the determined young English girl who dreams of racing her beloved horse to victory in the classic novel and film "National Velvet."
  • F. None of above. chosen

Provenance (5 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0f6bc90819094cad5d62550ea19 completed March 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacc4078081908ba799745ce442ae completed March 7, 2026, 10:55 p.m.
NEDg Description generation batch_69acad5457dc8190b884b562bc3f3fe7 completed March 7, 2026, 10:57 p.m.
NED2 Entity disambiguation (via description) batch_69acadf1209081909c120fbfdeb53168 completed March 7, 2026, 11 p.m.
Created at: March 1, 2026, 7:51 p.m.