Triple

T23411237
Position Surface form Disambiguated ID Type / Status
Subject Va$htie E560073 entity
Predicate alsoKnownAs P39 FINISHED
Object Vashtie Kola 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: Vashtie Kola | Statement: [Va$htie, alsoKnownAs, Vashtie Kola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vashtie Kola
Context triple: [Va$htie, alsoKnownAs, Vashtie Kola]
  • A. Vashtie Kola chosen
    Vashtie Kola is a New York-based director, DJ, designer, and creative known for her influential role in downtown street culture and collaborations across music, fashion, and art.
  • B. Kesha Epps
    Kesha Epps is an American businesswoman and philanthropist best known as the wife of rapper and actor 2 Chainz (Tauheed Epps).
  • C. Tasha McCauley
    Tasha McCauley is an American robotics engineer and tech entrepreneur known for co-founding the robotics company Fellow Robots and for her work at the intersection of technology and innovation.
  • D. Trinitee Stokes
    Trinitee Stokes is an American actress and singer best known for her role as the quirky robot Judy Cooper on the Disney Channel series "K.C. Undercover."
  • E. Kellita Smith
    Kellita Smith is an American actress and comedian best known for her role as Wanda McCullough on the sitcom "The Bernie Mac Show."
  • 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_69e2454b3a5881909c64773dc8a5d289 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a51183bc8190bd4860607b26b4b2 completed April 29, 2026, 6:28 a.m.
Created at: April 17, 2026, 5:38 p.m.