Triple

T22053008
Position Surface form Disambiguated ID Type / Status
Subject Show Out E544931 entity
Predicate hasLyricist P1141 FINISHED
Object Jahaan Sweet 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: Jahaan Sweet | Statement: [Show Out, hasLyricist, Jahaan Sweet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jahaan Sweet
Context triple: [Show Out, hasLyricist, Jahaan Sweet]
  • A. Jahaan Sweet chosen
    Jahaan Sweet is an American record producer and songwriter known for his work with major hip-hop and R&B artists, contributing to critically acclaimed and commercially successful projects.
  • B. Ilala Ward
    Ilala Ward is an administrative ward in Dar es Salaam, Tanzania, serving as the central urban hub and seat of Ilala District’s local government.
  • C. Jahaan Akil Sweet
    Jahaan Akil Sweet is an American record producer and songwriter known for his work on contemporary hip-hop and R&B tracks.
  • D. Dulcé Sloan
    Dulcé Sloan is an American stand-up comedian, actress, and correspondent best known for her work on "The Daily Show."
  • E. Lindo Jong
    Lindo Jong is a strong-willed Chinese immigrant mother in Amy Tan’s novel *The Joy Luck Club*, known for her resilience, cunning, and complex relationship with her American-born daughter.
  • 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_69e11e3377c48190890c17407b9527d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12855c7708190a8de44837140b654 completed April 28, 2026, 9:36 p.m.
Created at: April 16, 2026, 8:26 p.m.