Triple

T15035461
Position Surface form Disambiguated ID Type / Status
Subject TV Action E378467 entity
Predicate publisher P29 FINISHED
Object City Magazines E1133514 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: City Magazines | Statement: [TV Action, publisher, City Magazines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City Magazines
Context triple: [TV Action, publisher, City Magazines]
  • A. City Magazines chosen
    City Magazines was a British publishing company best known for producing popular mid-20th-century periodicals, including science fiction and entertainment titles.
  • B. CityNews
    CityNews is a Canadian local news organization and broadcast brand known for providing city-focused television, radio, and digital news coverage in major urban markets.
  • C. City People Magazine
    City People Magazine is a Nigerian entertainment and lifestyle publication known for covering celebrity news, fashion, and popular culture.
  • D. 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.
  • E. American City Business Journals
    American City Business Journals is a media company that publishes local business news and information through a network of city-focused business newspapers and digital platforms across the United States.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82b29948190acda49cbec3f927a completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5b75c04819085996a7f88ab6c38 completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 2:59 a.m.