Triple

T14828940
Position Surface form Disambiguated ID Type / Status
Subject Benny the Butcher E348646 entity
Predicate associatedAct P37 FINISHED
Object Conway the Machine E395860 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: Conway the Machine | Statement: [Benny the Butcher, associatedAct, Conway the Machine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conway the Machine
Context triple: [Benny the Butcher, associatedAct, 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. Yungblud
    Yungblud is an English singer, songwriter, and musician known for his energetic blend of pop-punk, alternative rock, and socially charged lyrics.
  • C. Brent Faiyaz
    Brent Faiyaz is an American singer, songwriter, and producer known for his atmospheric R&B sound and introspective, emotionally raw lyrics.
  • D. Brooklynn Prince
    Brooklynn Prince is an American child actress best known for her critically acclaimed breakout performance in the film "The Florida Project."
  • E. A.R. Skuggs
    A.R. Skuggs is the central protagonist of the film "Sugar Hill," around whom the story’s main events and conflicts revolve.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded0737d4c8190a49bf6b013da208c completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe38a16fd881909d246d8d1811a673 completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:51 a.m.