Triple

T10585156
Position Surface form Disambiguated ID Type / Status
Subject Snoh Aalegra E249835 entity
Predicate hasMusicalInfluence P1994 FINISHED
Object Lauryn Hill E90425 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: Lauryn Hill | Statement: [Snoh Aalegra, hasMusicalInfluence, Lauryn Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lauryn Hill
Context triple: [Snoh Aalegra, hasMusicalInfluence, Lauryn Hill]
  • A. Lauryn Hill chosen
    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."
  • 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. Erykah Badu
    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.
  • D. Meshell Ndegeocello
    Meshell Ndegeocello is an American singer-songwriter, bassist, and producer known for her genre-blending work in neo-soul, jazz, funk, and R&B.
  • E. Lauren Michelle Hill
    Lauren Michelle Hill is an American model and actress best known as a Playboy Playmate and for her appearances in various television shows and films.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d52768da9c8190add1db88bf2e16ea completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b820330819090ed70c6ba29b5c2 completed April 10, 2026, 7:12 p.m.
Created at: April 6, 2026, 12:39 p.m.