Triple

T20150073
Position Surface form Disambiguated ID Type / Status
Subject Nick Meglin E491411 entity
Predicate notableWork P4 FINISHED
Object Mad magazine features 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: Mad magazine features | Statement: [Nick Meglin, notableWork, Mad magazine features]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mad magazine features
Context triple: [Nick Meglin, notableWork, Mad magazine features]
  • A. Mad magazine chosen
    Mad magazine is a long-running American humor and satire publication known for its parodies of popular culture, politics, and entertainment.
  • B. If magazine
    If magazine was an American science fiction periodical, active mainly in the 1950s and 1960s, known for publishing influential works by major genre authors.
  • C. The Magazine of Magazines
    The Magazine of Magazines was an 18th-century British periodical that compiled and reprinted notable literary and political works for a broad reading public.
  • D. Slash magazine
    Slash magazine was an influential late-1970s Los Angeles punk fanzine that documented and helped shape the early American punk and hardcore scenes.
  • E. The Magazine
    "The Magazine" is a song by American musician Ty Segall from his experimental rock album "Emotional Mugger."
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667a1c5848190975b17ab07251f8b completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:33 p.m.