Triple

T21010696
Position Surface form Disambiguated ID Type / Status
Subject We Are the Streets E517539 entity
Predicate featuresArtist P1952 FINISHED
Object Drag-On 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: Drag-On | Statement: [We Are the Streets, featuresArtist, Drag-On]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Drag-On
Context triple: [We Are the Streets, featuresArtist, Drag-On]
  • A. Drag-On chosen
    Drag-On is an American rapper best known for his work with DMX and the Ruff Ryders collective in the late 1990s and early 2000s.
  • B. The Drag
    The Drag is a narrow, winding canyon-like district in Orgrimmar that serves as a central thoroughfare connecting several of the city's major quarters.
  • C. The Drag
    The Drag is a 1927 stage play by Mae West that controversially explored homosexuality and cross-dressing during the Prohibition era.
  • D. Black Drim
    Black Drim is a major river in the Balkans that flows from Lake Ohrid through North Macedonia and Albania before joining the White Drin to form the Drin River.
  • E. Dragun Beauty
    Dragun Beauty is a cosmetics brand founded by influencer and transgender activist Nikita Dragun, known for its inclusive makeup products that cater especially to the trans and LGBTQ+ community.
  • 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_69e0b50192308190a284fcc89dd23a49 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc3fdf3c8190abd3db7f5eb503a0 completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:53 p.m.