Triple

T18358040
Position Surface form Disambiguated ID Type / Status
Subject King Features Syndicate E439844 entity
Predicate partOf P40 FINISHED
Object Hearst Newspapers 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: Hearst Newspapers | Statement: [King Features Syndicate, partOf, Hearst Newspapers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hearst Newspapers
Context triple: [King Features Syndicate, partOf, Hearst Newspapers]
  • A. Hearst Communications chosen
    Hearst Communications is a major American mass media and business information conglomerate with interests in television, cable networks, magazines, newspapers, and digital media.
  • B. Hearst
    Hearst is a small, predominantly Francophone town in northern Ontario, Canada, known for its forestry industry and strong French-Canadian cultural presence.
  • C. McClatchy Company
    McClatchy Company is a major American newspaper publishing firm that owns numerous regional daily papers and digital news outlets across the United States.
  • D. Scripps-Howard Newspapers
    Scripps-Howard Newspapers was a major American newspaper chain known for its influential regional dailies and prominent journalists in the 20th century.
  • E. Gannett
    Gannett is a large American media holding company best known for publishing USA Today and operating numerous local newspapers and digital media outlets across the United States.
  • 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e516d88bc481909bcfd2e8984b7216 completed April 19, 2026, 5:54 p.m.
Created at: April 10, 2026, 10:37 a.m.