Triple

T1288935
Position Surface form Disambiguated ID Type / Status
Subject William F. Buckley Jr. E27499 entity
Predicate employer P7 FINISHED
Object National Review E88830 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: National Review | Statement: [William F. Buckley Jr., employer, National Review]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: National Review
Context triple: [William F. Buckley Jr., employer, National Review]
  • A. National Review chosen
    National Review is a conservative American magazine known for its commentary on politics, culture, and public policy.
  • B. National Journal
    National Journal is an American political journalism and policy analysis publication known for its in-depth coverage of U.S. politics, Congress, and public affairs.
  • C. Harper's Magazine
    Harper's Magazine is a long-running American monthly magazine known for its literary fiction, essays, and commentary on culture, politics, and society.
  • D. The Conservative Mind
    The Conservative Mind is a seminal 1953 book by Russell Kirk that traces the intellectual history and core principles of Anglo-American conservatism.
  • E. New Statesman
    New Statesman is a long-running British political and cultural magazine known for its left-leaning commentary and analysis.
  • 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_69a496d4ec448190ad653b2590c46711 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0d38d7c81908941edda9cac5d6a completed March 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb2ff0d4c8190893901e041f30171 completed March 7, 2026, 11:21 p.m.
Created at: March 1, 2026, 7:51 p.m.