Triple

T22257992
Position Surface form Disambiguated ID Type / Status
Subject Cheat Codes E550140 entity
Predicate featuresArtist P1952 FINISHED
Object Conway the Machine 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: Conway the Machine | Statement: [Cheat Codes, featuresArtist, Conway the Machine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conway the Machine
Context triple: [Cheat Codes, featuresArtist, Conway the Machine]
  • A. Conway the Machine chosen
    Conway the Machine is an American rapper from Buffalo, New York, known for his gritty lyricism, street-oriented narratives, and work as a core member of the Griselda collective.
  • B. Cokeboy Mustard
    Cokeboy Mustard is a hip-hop artist affiliated with French Montana’s Coke Boys collective and its label, Coke Boys Records.
  • C. Yungblud
    Yungblud is an English singer, songwriter, and musician known for his energetic blend of pop-punk, alternative rock, and socially charged lyrics.
  • D. Brent Faiyaz
    Brent Faiyaz is an American singer, songwriter, and producer known for his atmospheric R&B sound and introspective, emotionally raw lyrics.
  • E. Brooklynn Prince
    Brooklynn Prince is an American child actress best known for her critically acclaimed breakout performance in the film "The Florida Project."
  • 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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f138c4bff48190b4be83f5f7677ac8 completed April 28, 2026, 10:46 p.m.
Created at: April 16, 2026, 8:39 p.m.