Triple

T5199430
Position Surface form Disambiguated ID Type / Status
Subject Avril Lavigne E117354 entity
Predicate influenced P9 FINISHED
Object Machine Gun Kelly E92288 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: Machine Gun Kelly | Statement: [Avril Lavigne, influenced, Machine Gun Kelly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Machine Gun Kelly
Context triple: [Avril Lavigne, influenced, Machine Gun Kelly]
  • A. Machine Gun Kelly chosen
    Machine Gun Kelly was a notorious American gangster and bootlegger of the Prohibition era, best known for his involvement in kidnappings and his reputation as a machine gun–wielding criminal.
  • B. Kid Rock
    Kid Rock is an American musician known for blending rock, hip hop, and country influences in his music and for his outspoken, often controversial public persona.
  • C. Ludacris
    Ludacris is an American rapper, actor, and entrepreneur known for his witty Southern hip hop style and roles in the Fast & Furious film franchise.
  • D. Wiz Khalifa
    Wiz Khalifa is an American rapper, singer, and songwriter known for hits like "Black and Yellow" and his laid-back, weed-centric persona.
  • E. John Rich
    John Rich was an influential 18th-century English theatre manager and producer, best known for pioneering English pantomime and helping establish Covent Garden as a major London playhouse.
  • 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_69bd4462ed04819084fcb01eb9d2fa74 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a209d7c81908fa0d3bf2c482a34 completed March 20, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf331540108190b4251183d7738041 completed March 22, 2026, 12:08 a.m.
Created at: March 20, 2026, 1:47 p.m.