Triple

T6404597
Position Surface form Disambiguated ID Type / Status
Subject Didn’t Cha Know? E144146 entity
Predicate sampleSourceArtist P17564 FINISHED
Object Tarika Blue
Tarika Blue is a 1970s New York jazz-funk and soul fusion band known for its smooth, groove-oriented sound that has been widely sampled in hip-hop and neo-soul.
 E589869 NE FINISHED

How this triple was built (4 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: Tarika Blue | Statement: [Didn’t Cha Know?, sampleSourceArtist, Tarika Blue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tarika Blue
Context triple: [Didn’t Cha Know?, sampleSourceArtist, Tarika Blue]
  • A. Tasha Lem
    Tasha Lem is a powerful and enigmatic religious leader and ally of the Doctor who appears in the Doctor Who episode "The Time of the Doctor."
  • B. Tania
    Tania is a feminine given name commonly used as a diminutive or variant of names like Tatyana or Tatiana.
  • C. Kori Rae
    Kori Rae is a film producer best known for her work at Pixar Animation Studios, including producing the animated feature "Monsters University."
  • D. Tara Kaili
    Tara Kaili is a regional dialect of the Kaili language spoken by communities in Central Sulawesi, Indonesia.
  • E. Shiva Rose
    Shiva Rose is an American actress, blogger, and holistic lifestyle advocate known for her work in film and television as well as her natural beauty and wellness brand.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tarika Blue
Triple: [Didn’t Cha Know?, sampleSourceArtist, Tarika Blue]
Generated description
Tarika Blue is a 1970s New York jazz-funk and soul fusion band known for its smooth, groove-oriented sound that has been widely sampled in hip-hop and neo-soul.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tarika Blue
Target entity description: Tarika Blue is a 1970s New York jazz-funk and soul fusion band known for its smooth, groove-oriented sound that has been widely sampled in hip-hop and neo-soul.
  • A. Tasha Lem
    Tasha Lem is a powerful and enigmatic religious leader and ally of the Doctor who appears in the Doctor Who episode "The Time of the Doctor."
  • B. Tania
    Tania is a feminine given name commonly used as a diminutive or variant of names like Tatyana or Tatiana.
  • C. Kori Rae
    Kori Rae is a film producer best known for her work at Pixar Animation Studios, including producing the animated feature "Monsters University."
  • D. Tara Kaili
    Tara Kaili is a regional dialect of the Kaili language spoken by communities in Central Sulawesi, Indonesia.
  • E. Shiva Rose
    Shiva Rose is an American actress, blogger, and holistic lifestyle advocate known for her work in film and television as well as her natural beauty and wellness brand.
  • F. None of above. chosen

Provenance (5 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_69c008dc56fc81908d43ffcc11d73bdd completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c068b0950c819091169aa1a3be0e88 completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c638aaed0c8190939e751af7c3fa80 completed March 27, 2026, 7:58 a.m.
NEDg Description generation batch_69c6395e934c81909bfa10ee1b8e517f completed March 27, 2026, 8:01 a.m.
NED2 Entity disambiguation (via description) batch_69c63a0a4a108190b474555d8cb1540c completed March 27, 2026, 8:04 a.m.
Created at: March 22, 2026, 4:35 p.m.