Triple

T7394767
Position Surface form Disambiguated ID Type / Status
Subject Karl Rove E170593 entity
Predicate employer P7 FINISHED
Object Fox News E10949 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: Fox News | Statement: [Karl Rove, employer, Fox News]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fox News
Context triple: [Karl Rove, employer, Fox News]
  • A. Fox News Channel chosen
    Fox News Channel is a major American cable television news network known for its conservative-leaning commentary and wide influence on U.S. political discourse.
  • B. Fox News International
    Fox News International is the global subscription streaming service that delivers Fox News Channel and related programming to audiences outside the United States.
  • C. Fox News Media
    Fox News Media is a conservative-leaning American media company that operates the Fox News Channel, Fox Business Network, and related television and digital news properties.
  • D. Fox News Radio
    Fox News Radio is a U.S.-based radio network that provides news, talk, and opinion programming aligned with the broader Fox News brand.
  • E. FOX
    FOX is the Class B common stock of Fox Corporation, a major American media company known for its television broadcasting, news, and sports networks.
  • 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_69c68a5f04188190ac266569c9280347 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2279de4819081b8876d02f55388 completed March 27, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810fcb1408190a6ed22213bd7830b completed March 28, 2026, 5:33 p.m.
Created at: March 27, 2026, 3:09 p.m.