Triple

T974142
Position Surface form Disambiguated ID Type / Status
Subject Foxy Brown E21012 entity
Predicate name P16 FINISHED
Object Foxy Brown E21012 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: Foxy Brown | Statement: [Foxy Brown, name, Foxy Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Foxy Brown
Context triple: [Foxy Brown, name, Foxy Brown]
  • A. Foxy Brown chosen
    Foxy Brown is an American rapper known for her influential work in 1990s hip hop, including the album "Ill Na Na" and her membership in the group The Firm.
  • B. Damita Jo
    Damita Jo is Janet Jackson’s 2004 R&B and pop studio album known for its sensual themes and fusion of dance, soul, and hip-hop influences.
  • C. Lil' Kim
    Lil' Kim is an American rapper and cultural icon known for her hardcore lyrical style, provocative image, and pioneering influence on women in hip-hop.
  • D. Pam Grier
    Pam Grier is an iconic American actress best known for her groundbreaking roles in 1970s blaxploitation films such as "Coffy" and "Foxy Brown," which established her as a pioneering Black female action star.
  • E. Vonetta Flowers
    Vonetta Flowers is an American bobsledder who became the first Black athlete from any country to win a gold medal at the Winter Olympics.
  • 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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b460a5c0819087b03dfb8a3af2c2 completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac170a00f481909da0394531ac24fe completed March 7, 2026, 12:16 p.m.
Created at: March 1, 2026, 7:40 p.m.