Triple

T17270228
Position Surface form Disambiguated ID Type / Status
Subject I Want It All E419235 entity
Predicate featuresArtist P1952 FINISHED
Object Drag-On E142176 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: Drag-On | Statement: [I Want It All, featuresArtist, Drag-On]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Drag-On
Context triple: [I Want It All, 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. 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.
  • D. 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.
  • E. DRAGON
    DRAGON is the airline callsign used by Cathay Dragon, a former Hong Kong-based regional carrier affiliated with Cathay Pacific.
  • 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42f4917ec819096356ad2ed24d51d completed April 19, 2026, 1:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01794a09b8819086da30f38c6d4c20 completed May 11, 2026, 6:38 a.m.
Created at: April 10, 2026, 5:40 a.m.