Triple

T21074322
Position Surface form Disambiguated ID Type / Status
Subject Louis Zukofsky E519190 entity
Predicate associatedWith P37 FINISHED
Object Poetry 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: Poetry magazine | Statement: [Louis Zukofsky, associatedWith, Poetry magazine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poetry magazine
Context triple: [Louis Zukofsky, associatedWith, Poetry magazine]
  • A. Poetry: A Magazine of Verse chosen
    Poetry: A Magazine of Verse is a pioneering American literary journal, founded in 1912, renowned for introducing and championing major modernist poets and movements.
  • B. American Poets magazine
    American Poets magazine is a literary periodical featuring contemporary poetry, essays, and interviews, produced by the Academy of American Poets.
  • C. Kobita magazine
    Kobita magazine is a Bengali literary periodical known for publishing notable works of modern Bengali poetry.
  • D. Poetry International
    Poetry International is a prominent London-based literary festival that showcases contemporary poetry from around the world through readings, performances, and related events.
  • E. The Literary Review
    The Literary Review is a British literary magazine known for its incisive book reviews, essays, and cultural commentary.
  • 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_69e0b506e59c8190849b71ed07929215 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e702d5ae908190ab5303e39443d729 completed April 21, 2026, 4:53 a.m.
Created at: April 16, 2026, 2:48 p.m.