Triple

T1676650
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Garner E36244 entity
Predicate brandAmbassadorFor P13067 FINISHED
Object Neutrogena E49849 NE FINISHED

How this triple was built (3 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: Neutrogena | Statement: [Jennifer Garner, brandAmbassadorFor, Neutrogena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neutrogena
Context triple: [Jennifer Garner, brandAmbassadorFor, Neutrogena]
  • A. Neutrogena chosen
    Neutrogena is a widely recognized skincare and cosmetics brand known for its dermatologist-recommended products, including facial cleansers, moisturizers, sunscreens, and acne treatments.
  • B. Clinique
    Clinique is an American skincare and cosmetics brand known for its dermatologist-developed, fragrance-free products and clinical approach to beauty.
  • C. 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.
  • D. Kiehl's
    Kiehl's is an American skincare and cosmetics brand known for its apothecary-style stores and science-driven formulations.
  • E. Biotherm
    Biotherm is a French skincare brand known for its use of aquatic ingredients and scientifically driven formulas for face and body care.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: brandAmbassadorFor
Context triple: [Jennifer Garner, brandAmbassadorFor, Neutrogena]
  • A. mediaAffiliate
    Indicates a relationship where one media entity is affiliated with, partnered to, or formally associated with another media organization or outlet.
  • B. brand
    Indicates that one entity is the commercial brand or label under which another entity (such as a product, service, or organization) is marketed or identified.
  • C. promotionalRole chosen
    Indicates that an entity serves in a capacity focused on promoting, advertising, or publicizing another entity, product, or activity.
  • D. sponsorshipName
    Indicates the name or title associated with a sponsorship relationship between entities.
  • E. sponsorType
    Indicates the specific role or category of sponsorship that an entity provides in relation to another entity or event.
  • F. None of above.

Provenance (4 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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69ab272a653481908f48aa1eed5de8a4 completed March 6, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad71b7c2608190bce1dc7469da4c45 completed March 8, 2026, 12:55 p.m.
PD Predicate disambiguation batch_69aa61b2f6288190b2348ef7d7e4672d completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:29 p.m.