Triple

T856493
Position Surface form Disambiguated ID Type / Status
Subject Raphael Saadiq E18503 entity
Predicate genre P14 FINISHED
Object R&B E11089 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: R&B | Statement: [Raphael Saadiq, genre, R&B]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: R&B
Context triple: [Raphael Saadiq, genre, R&B]
  • A. R&B chosen
    R&B is a popular music genre that blends soulful vocals with rhythmic grooves, drawing from blues, jazz, gospel, and later funk and hip-hop influences.
  • B. Soul
    Soul is a 2020 Pixar animated film that explores themes of purpose, passion, and the afterlife through the story of a jazz musician who experiences a life-changing journey beyond Earth.
  • C. Jazz
    "Jazz" is a 1992 novel by Toni Morrison that explores love, violence, and memory in 1920s Harlem through a narrative style inspired by the improvisational rhythms of jazz music.
  • D. Jazz
    Jazz is a celebrated illustrated book by Henri Matisse featuring vibrant color paper cut-outs that exemplify his late-career artistic style.
  • E. Afrobeats
    Afrobeats is a contemporary West African music genre that blends elements of traditional African rhythms with hip-hop, dancehall, and pop, and has become a major global sound.
  • 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_69a4938bdd3c8190a954a3c11844d9cf completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac3c172481908ed164ee1579ec28 completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3bfcf308190b1ffc63ccd32cc66 completed March 4, 2026, 3:15 a.m.
Created at: March 1, 2026, 7:39 p.m.