Triple

T7421744
Position Surface form Disambiguated ID Type / Status
Subject Mark Frauenfelder E171264 entity
Predicate workedFor P1910 FINISHED
Object Make: magazine E664330 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: Make: magazine | Statement: [Mark Frauenfelder, workedFor, Make: magazine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Make: magazine
Context triple: [Mark Frauenfelder, workedFor, Make: magazine]
  • A. Make: magazine chosen
    Make: magazine is a publication dedicated to the DIY maker movement, featuring projects, tutorials, and inspiration for hobbyists, tinkerers, and inventors.
  • B. WIN Magazine
    WIN Magazine is a peace and antiwar publication associated with the War Resisters League, focusing on nonviolent resistance, social justice, and radical politics.
  • C. Popular Mechanics
    Popular Mechanics is a long-running American magazine focused on science, technology, DIY projects, and how-things-work explanations for a general audience.
  • D. Inspire magazine
    Inspire magazine is an English-language online propaganda and recruitment publication associated with the extremist group Al-Qaeda in the Arabian Peninsula.
  • E. 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.
  • 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_69c68a625d048190af70eb8b63bec5a0 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2ebc520819087cfc2eb9dda0e17 completed March 27, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8344541308190af8d90633cd92645 completed March 28, 2026, 8:04 p.m.
Created at: March 27, 2026, 3:11 p.m.