Triple

T16811390
Position Surface form Disambiguated ID Type / Status
Subject Choice Web Star E408620 entity
Predicate hasSubcategory P747 FINISHED
Object Choice Web Star: Fashion/Beauty E408620 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: Choice Web Star: Fashion/Beauty | Statement: [Choice Web Star, hasSubcategory, Choice Web Star: Fashion/Beauty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Choice Web Star: Fashion/Beauty
Context triple: [Choice Web Star, hasSubcategory, Choice Web Star: Fashion/Beauty]
  • A. Choice Web Star chosen
    Choice Web Star is a Teen Choice Awards category that honors popular online personalities and digital content creators.
  • B. Fashion Star
    Fashion Star is an American reality television competition series in which aspiring fashion designers create and sell collections to major retailers.
  • C. COTY
    COTY is the commonly used abbreviation for the National Basketball Association's Coach of the Year award.
  • D. COTY
    COTY is the stock ticker symbol for Coty Inc., a major global beauty company known for its portfolio of cosmetics, skincare, and fragrance brands.
  • E. CoverGirl
    CoverGirl is a major American cosmetics brand known for its mass-market makeup products and high-profile celebrity spokesmodels.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2d0793c81909d938ac174a6e63a completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b290d8e4819082880444b42ffa43 completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.