Triple

T15950384
Position Surface form Disambiguated ID Type / Status
Subject Vidal Davis E386799 entity
Predicate hasCollaboratedWith P8554 FINISHED
Object Musiq Soulchild E92367 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: Musiq Soulchild | Statement: [Vidal Davis, hasCollaboratedWith, Musiq Soulchild]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Musiq Soulchild
Context triple: [Vidal Davis, hasCollaboratedWith, Musiq Soulchild]
  • A. Musiq Soulchild chosen
    Musiq Soulchild is an American R&B and neo-soul singer-songwriter known for smooth, soulful hits like "Love" and "Just Friends (Sunny)."
  • B. J. Rey Soul
    J. Rey Soul is a Filipino-American singer best known as a featured vocalist and later member associated with the Black Eyed Peas.
  • C. Jill Scott
    Jill Scott is an American singer-songwriter, poet, and actress known for her soulful neo-soul music and powerful, expressive vocals.
  • D. Syreeta Wright
    Syreeta Wright was an American singer-songwriter and Motown artist known for her collaborations with Stevie Wonder and her influential contributions to soul and R&B music in the 1970s.
  • E. Cotton Green
    Cotton Green is a suburban railway station in Mumbai, India, serving local commuters on the city’s Harbour Line.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d4c5008190a56ebf8c28f712dc completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe78a76481909622d7a2443cba4d completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.