Triple

T20334454
Position Surface form Disambiguated ID Type / Status
Subject Kima, Keisha & Pam E492568 entity
Predicate featuresArtist P1952 FINISHED
Object Ginuwine 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: Ginuwine | Statement: [Kima, Keisha & Pam, featuresArtist, Ginuwine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ginuwine
Context triple: [Kima, Keisha & Pam, featuresArtist, Ginuwine]
  • A. Ginuwine chosen
    Ginuwine is an American R&B singer and performer best known for his smooth vocals and 1990s hits like "Pony," who emerged as a prominent figure in contemporary R&B alongside artists such as Aaliyah and Timbaland.
  • B. Gunna
    Gunna is an American rapper and singer known for his melodic trap style and frequent collaborations with artists like Young Thug and Lil Baby.
  • C. Gunna
    Gunna is a small, sparsely populated Scottish island in the Inner Hebrides, known for its rugged coastline and wildlife.
  • D. Smino
    Smino is an American rapper and singer known for his melodic, genre-blending style and inventive wordplay within contemporary hip-hop and R&B.
  • E. Yung Gud
    Yung Gud is a Swedish producer and DJ best known for his atmospheric, melancholic beats and frequent collaborations with rapper Yung Lean as part of the Sad Boys collective.
  • 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677ea8a088190b2b37accd6b24277 completed April 20, 2026, 7 p.m.
Created at: April 16, 2026, 11:23 a.m.