Triple

T10819709
Position Surface form Disambiguated ID Type / Status
Subject Gerard Alexander E255331 entity
Predicate hasWrittenFor P11775 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: [Gerard Alexander, hasWrittenFor, National Review]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: National Review
Context triple: [Gerard Alexander, hasWrittenFor, National Review]
  • A. National Review chosen
    National Review is a conservative American magazine known for its commentary on politics, culture, and public policy.
  • B. Commentary magazine
    Commentary magazine is an American monthly journal of opinion known for its influential conservative and neoconservative analysis of politics, culture, and Jewish affairs.
  • C. American Enterprise
    American Enterprise is a long-term exhibition at the National Museum of American History that explores the history and impact of business and innovation in shaping the United States.
  • D. 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.
  • E. Slate magazine
    Slate magazine is an online daily magazine known for its analysis and commentary on politics, news, culture, and technology.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d734492be88190874ea0ba4d0fa643 completed April 9, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69de8569178481909474e939a3e4c217 completed April 14, 2026, 6:20 p.m.
Created at: April 8, 2026, 9:18 p.m.