Triple

T1041659
Position Surface form Disambiguated ID Type / Status
Subject Oath Inc. E22481 entity
Predicate ownerOf P347 FINISHED
Object Yahoo! News E66256 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: Yahoo! News | Statement: [Oath Inc., ownerOf, Yahoo! News]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yahoo! News
Context triple: [Oath Inc., ownerOf, Yahoo! News]
  • A. Yahoo News chosen
    Yahoo News is a major online news and media platform providing global and local coverage across politics, business, entertainment, and more as part of the Yahoo digital ecosystem.
  • B. Wikinews
    Wikinews is a free, collaboratively written online news source that is part of the Wikimedia family of projects.
  • C. CNN
    CNN is a major American cable news television channel known for pioneering 24-hour news coverage and live reporting from global events.
  • D. Yahoo! Search
    Yahoo! Search is a web search engine developed by Yahoo that was once one of the most popular gateways for finding information on the internet.
  • E. ABC News
    ABC News is the news division of the American Broadcasting Company, providing television, digital, and radio news coverage in the United States and internationally.
  • 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_69a493d91478819094cc01fb65564bc1 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b82f6c14819080277443ea4722dd completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bc768948190b1cda4eea93fe4b6 completed March 7, 2026, 2:52 p.m.
Created at: March 1, 2026, 7:42 p.m.