Triple

T3854694
Position Surface form Disambiguated ID Type / Status
Subject Esquire E85384 entity
Predicate publisher P29 FINISHED
Object Hearst Magazines E37938 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: Hearst Magazines | Statement: [Esquire, publisher, Hearst Magazines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hearst Magazines
Context triple: [Esquire, publisher, Hearst Magazines]
  • A. Condé Nast
    Condé Nast is a major global media company known for publishing influential magazines such as Vogue, The New Yorker, GQ, and Wired.
  • B. Time Inc.
    Time Inc. was a major American media company best known for publishing influential magazines such as Time, Life, Sports Illustrated, and Fortune.
  • C. 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.
  • D. Hearst
    Hearst is a small, predominantly Francophone town in northern Ontario, Canada, known for its forestry industry and strong French-Canadian cultural presence.
  • E. Doubleday & McClure Company
    Doubleday & McClure Company was an American publishing firm active at the turn of the 20th century, known for issuing works by prominent authors such as Frank Norris.
  • 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_69aed936de1c81908f91bed80f70abb2 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec05ec4c8190bd5e5463163712dc completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5041c7250819093b2743afeb6e36c completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:19 p.m.