Triple

T8752087
Position Surface form Disambiguated ID Type / Status
Subject Dictatorships and Double Standards E207982 entity
Predicate publisher P29 FINISHED
Object Commentary magazine E755402 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: Commentary magazine | Statement: [Dictatorships and Double Standards, publisher, Commentary magazine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Commentary magazine
Context triple: [Dictatorships and Double Standards, publisher, Commentary magazine]
  • A. Commentary magazine chosen
    Commentary magazine is an American monthly journal of opinion known for its influential conservative and neoconservative analysis of politics, culture, and Jewish affairs.
  • B. National Review
    National Review is a conservative American magazine known for its commentary on politics, culture, and public policy.
  • C. Dissent magazine
    Dissent magazine is a long-running American left-wing intellectual and political quarterly known for its democratic socialist perspective and rigorous social criticism.
  • D. Slate magazine
    Slate magazine is an online daily magazine known for its analysis and commentary on politics, news, culture, and technology.
  • E. Chance magazine
    Chance magazine is a popular statistics-focused publication that presents statistical ideas, applications, and case studies to a broad audience, often highlighting real-world data and current events.
  • 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_69ca835cd6b08190bd7c63db92f53c86 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5da8cc548190a31ad542d2faf2d5 completed March 31, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf518d48b481909e2abf5d60bf7c78 completed April 3, 2026, 5:35 a.m.
Created at: March 30, 2026, 6:39 p.m.