Triple

T14841005
Position Surface form Disambiguated ID Type / Status
Subject Christopher Ruddy E348962 entity
Predicate founded P104 FINISHED
Object Newsmax.com E65858 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: Newsmax.com | Statement: [Christopher Ruddy, founded, Newsmax.com]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newsmax.com
Context triple: [Christopher Ruddy, founded, Newsmax.com]
  • A. Newsmax TV chosen
    Newsmax TV is a conservative American cable news and opinion channel known for right-leaning political commentary and coverage.
  • B. Breitbart News
    Breitbart News is a far-right American news and opinion website known for its provocative, nationalist, and populist political coverage.
  • C. The Daily Caller
    The Daily Caller is a conservative American news and opinion website known for its right-leaning political coverage and commentary.
  • D. Huffington
    Huffington is the surname of Arianna Huffington, the Greek-American author, media entrepreneur, and co-founder of The Huffington Post.
  • E. The Daily Beast
    The Daily Beast is an American news and opinion website known for its sharp political commentary, investigative reporting, and pop culture coverage.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded28e40f08190b309d8ac6404d2fc completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b4b31a48190a3b60f02b581fbd2 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:53 a.m.