Triple

T10004470
Position Surface form Disambiguated ID Type / Status
Subject Elsa Hosk E198207 entity
Predicate hasWorkedFor P11675 FINISHED
Object Shiseido
Shiseido is a major Japanese multinational cosmetics and skincare company known for its high-end beauty products and long-standing global presence.
 E835859 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: Shiseido | Statement: [Elsa Hosk, hasWorkedFor, Shiseido]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shiseido
Context triple: [Elsa Hosk, hasWorkedFor, Shiseido]
  • A. L'Oréal
    L'Oréal is a French multinational cosmetics and beauty company recognized as one of the world’s largest and most influential personal care brands.
  • B. Lancôme
    Lancôme is a French luxury cosmetics and skincare brand renowned for its high-end perfumes, makeup, and beauty products.
  • C. Biotherm
    Biotherm is a French skincare brand known for its use of aquatic ingredients and scientifically driven formulas for face and body care.
  • D. Armani Beauty
    Armani Beauty is the cosmetics and fragrance line of the Giorgio Armani fashion house, known for its luxurious makeup, skincare, and signature perfumes.
  • E. La Roche-Posay
    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.
  • 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: Shiseido
Triple: [Elsa Hosk, hasWorkedFor, Shiseido]
Generated description
Shiseido is a major Japanese multinational cosmetics and skincare company known for its high-end beauty products and long-standing global presence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shiseido
Target entity description: Shiseido is a major Japanese multinational cosmetics and skincare company known for its high-end beauty products and long-standing global presence.
  • A. L'Oréal
    L'Oréal is a French multinational cosmetics and beauty company recognized as one of the world’s largest and most influential personal care brands.
  • B. Lancôme
    Lancôme is a French luxury cosmetics and skincare brand renowned for its high-end perfumes, makeup, and beauty products.
  • C. Biotherm
    Biotherm is a French skincare brand known for its use of aquatic ingredients and scientifically driven formulas for face and body care.
  • D. Armani Beauty
    Armani Beauty is the cosmetics and fragrance line of the Giorgio Armani fashion house, known for its luxurious makeup, skincare, and signature perfumes.
  • E. La Roche-Posay
    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.
  • 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_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd141ec08190b857fe7e15a8df93 completed April 2, 2026, 1:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a5058a08190b850d30ca0ee8bc8 completed April 5, 2026, 1:57 p.m.
NEDg Description generation batch_69d26b6d52e8819082fed0bfdaf48e4c completed April 5, 2026, 2:02 p.m.
NED2 Entity disambiguation (via description) batch_69d26c3d5f2081909bf1a1565b66eca9 completed April 5, 2026, 2:05 p.m.
Created at: March 30, 2026, 8:51 p.m.