Triple

T12452051
Position Surface form Disambiguated ID Type / Status
Subject Sunsilk E297554 entity
Predicate partOfPortfolio P12124 FINISHED
Object Unilever personal care brands E61784 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: Unilever personal care brands | Statement: [Sunsilk, partOfPortfolio, Unilever personal care brands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unilever personal care brands
Context triple: [Sunsilk, partOfPortfolio, Unilever personal care brands]
  • A. Unilever chosen
    Unilever is a multinational consumer goods company known for its wide range of food, personal care, and household products sold globally.
  • B. HUL
    HUL is the National Rail station code for Hull Paragon Interchange, the main railway and bus station in Kingston upon Hull, England.
  • C. Colgate-Palmolive
    Colgate-Palmolive is a global consumer products company best known for its oral care, personal care, home care, and pet nutrition brands.
  • D. Neutrogena
    Neutrogena is a widely recognized skincare and cosmetics brand known for its dermatologist-recommended products, including facial cleansers, moisturizers, sunscreens, and acne treatments.
  • E. Henkel
    Henkel is a German multinational chemical and consumer goods company best known for its brands in laundry, home care, and adhesives.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d9fa5f0819080ca9f6efa212c59 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f16e87c8190b7e9f61561ae865a completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:56 p.m.