Triple

T5580789
Position Surface form Disambiguated ID Type / Status
Subject Mama’s Gun E146634 entity
Predicate artist P184 FINISHED
Object Erykah Badu E12409 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: Erykah Badu | Statement: [Mama’s Gun, artist, Erykah Badu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erykah Badu
Context triple: [Mama’s Gun, artist, Erykah Badu]
  • A. Erykah Badu chosen
    Erykah Badu is an American singer, songwriter, and producer renowned as the “Queen of Neo Soul” for her influential blend of R&B, jazz, and hip-hop.
  • B. Jill Scott
    Jill Scott is an American singer-songwriter, poet, and actress known for her soulful neo-soul music and powerful, expressive vocals.
  • C. Lauryn Hill
    Lauryn Hill is an American singer, rapper, songwriter, and producer renowned for her groundbreaking work with the Fugees and her influential solo album "The Miseducation of Lauryn Hill."
  • D. Ledisi
    Ledisi is a Grammy-winning American R&B and jazz singer, songwriter, and actress known for her powerful vocals and soulful, genre-blending style.
  • E. Mary J. Blige
    Mary J. Blige is an American singer, songwriter, and actress widely known as the "Queen of Hip-Hop Soul" for her influential blend of R&B, soul, and hip-hop.
  • 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_69c0090287a08190b4098411effe970c completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0208147a48190b2cdb42b9c9814a3 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b0918b088190b0fcd0ab02091eb2 completed March 23, 2026, 3:16 a.m.
Created at: March 22, 2026, 3:37 p.m.