Triple

T20149987
Position Surface form Disambiguated ID Type / Status
Subject Harvey Kurtzman E491409 entity
Predicate employer P7 FINISHED
Object Mad magazine 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 | Statement: [Harvey Kurtzman, employer, Mad magazine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mad magazine
Context triple: [Harvey Kurtzman, employer, Mad magazine]
  • 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. 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.
  • C. Harper's Bizarre
    Harper's Bizarre was an American sunshine pop band of the late 1960s known for their soft, orchestrated harmonies and a hit cover of Simon & Garfunkel's "The 59th Street Bridge Song (Feelin' Groovy)."
  • D. Revista Satiricón
    Revista Satiricón was an influential Argentine satirical magazine known for its sharp political and social humor during the 1970s.
  • E. The Harvard Lampoon
    The Harvard Lampoon is a long-running, student-run humor magazine at Harvard University known for its satirical writing and influential comedic alumni.
  • 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.