Triple

T17726534
Position Surface form Disambiguated ID Type / Status
Subject Kimora Lee Simmons E442475 entity
Predicate notableWork P4 FINISHED
Object Baby Phat NE NERFINISHED

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: Baby Phat | Statement: [Kimora Lee Simmons, notableWork, Baby Phat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baby Phat
Context triple: [Kimora Lee Simmons, notableWork, Baby Phat]
  • A. Baby Phat chosen
    Baby Phat is a fashion brand best known for its early-2000s streetwear and glamorous, hip-hop-inspired women’s apparel and accessories.
  • B. Juicy Couture
    Juicy Couture is an American fashion brand best known for its velour tracksuits and glamorous, casual lifestyle apparel and accessories.
  • C. Esprit
    Esprit is an international fashion brand known for its casual, contemporary clothing and lifestyle products.
  • D. Cotton On
    Cotton On is a global Australian retail chain known for its affordable, casual fashion and lifestyle products.
  • E. Abercrombie
    Abercrombie is a Scottish-origin surname borne by various notable individuals, including politicians, artists, and public figures.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e478e25a80819096289fba4ecb227f completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 10:07 a.m.