Triple

T152154
Position Surface form Disambiguated ID Type / Status
Subject Entertainment Weekly E3454 entity
Predicate publisher P29 FINISHED
Object Dotdash Meredith E18715 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: Dotdash Meredith | Statement: [Entertainment Weekly, publisher, Dotdash Meredith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dotdash Meredith
Context triple: [Entertainment Weekly, publisher, Dotdash Meredith]
  • A. Dotdash Meredith chosen
    Dotdash Meredith is a major American digital and print media company known for operating a wide portfolio of lifestyle, home, finance, and health brands and websites.
  • B. Atlantic Media
    Atlantic Media is an American media company best known for owning and operating influential publications such as The Atlantic.
  • C. Westwood One
    Westwood One is a major American radio network best known for its nationwide sports coverage, including live broadcasts of NFL games.
  • D. Time Inc.
    Time Inc. was a major American media company best known for publishing influential magazines such as Time, Life, Sports Illustrated, and Fortune.
  • E. DART for Advertisers
    DART for Advertisers is an online ad-serving and campaign management platform that enabled advertisers to create, target, deliver, and track digital advertising across websites.
  • 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_69a252868de4819080e21c9938bfe8b6 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a2580f55a88190b37b54ee0ed5ac7c completed Feb. 28, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2ce36ad848190baf0359475fc0c3e completed Feb. 28, 2026, 11:15 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.