Triple

T14599531
Position Surface form Disambiguated ID Type / Status
Subject Bad Meets Evil E342664 entity
Predicate hasPart P35 FINISHED
Object Eminem E90546 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: Eminem | Statement: [Bad Meets Evil, hasPart, Eminem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eminem
Context triple: [Bad Meets Evil, hasPart, Eminem]
  • A. Eminem (Marshall Bruce Mathers III) chosen
    Eminem (Marshall Bruce Mathers III) is an American rapper, songwriter, and record producer widely regarded as one of the most influential and best-selling hip hop artists of all time.
  • B. 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.
  • C. Makaveli
    Makaveli is the alias used by influential American rapper Tupac Shakur, most notably for his posthumous album "The Don Killuminati: The 7 Day Theory."
  • D. Lupe Fiasco
    Lupe Fiasco is an American rapper, songwriter, and producer known for his socially conscious lyrics and critically acclaimed albums such as "Food & Liquor" and "The Cool."
  • E. James Grey West
    James Grey West was a British architect known for his significant contributions to public and governmental buildings in the early 20th century.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb438748081908020ce04b869866a completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda91a4d7881908f783beb72578067 completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:25 a.m.