Triple

T16881329
Position Surface form Disambiguated ID Type / Status
Subject Stay Dangerous E421420 entity
Predicate featuresArtist P1952 FINISHED
Object Mozzy E1057243 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: Mozzy | Statement: [Stay Dangerous, featuresArtist, Mozzy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mozzy
Context triple: [Stay Dangerous, featuresArtist, Mozzy]
  • A. Mozzy chosen
    Mozzy is an American rapper from Sacramento, California, known for his gritty street narratives and prolific output in West Coast hip-hop.
  • B. Moxley Moxx
    Moxley Moxx is an early ring name used by the American professional wrestler better known today as Jon Moxley (formerly Dean Ambrose in WWE).
  • C. Moochie
    Moochie is a recurring, energetic child character from classic Disney live-action films and television shows, famously played by actor Kevin Corcoran.
  • D. Mordo
    Mordo is a powerful sorcerer and frequent adversary of Doctor Strange in Marvel Comics, often portrayed as a former ally turned villain.
  • E. Mossie
    Mossie is the popular nickname for the British de Havilland Mosquito NF Mk II night fighter aircraft used during World War II.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3b7fc61a08190b9f611c06a95be01 completed April 18, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2b8fcf081908898f5589b2455ce completed May 10, 2026, 5:39 p.m.
Created at: April 10, 2026, 5:29 a.m.