Triple

T5091312
Position Surface form Disambiguated ID Type / Status
Subject RT E114756 entity
Predicate owner P347 FINISHED
Object ANO TV-Novosti
ANO TV-Novosti is a Russian state-funded media organization that operates the international television network RT (formerly Russia Today).
E492529 NE FINISHED

How this triple was built (4 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: ANO TV-Novosti | Statement: [RT, owner, ANO TV-Novosti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ANO TV-Novosti
Context triple: [RT, owner, ANO TV-Novosti]
  • A. NTV
    NTV is a major Japanese commercial television network known for its wide range of news, entertainment, and sports programming.
  • B. NET TV
    NET TV is a Catholic television network based in Brooklyn that produces and broadcasts religious and community programming for the Diocese of Brooklyn and surrounding areas.
  • C. NOW TV
    NOW TV is a subscription-based streaming television service offering on-demand movies, entertainment, and sports content, primarily in the UK and Ireland.
  • D. AP Television News
    AP Television News is the Associated Press’s global video news agency, providing broadcast-quality news footage and coverage to television and digital broadcasters worldwide.
  • E. UNTV
    UNTV is a Philippine television network known for its public service-oriented programming, news coverage, and religious content.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ANO TV-Novosti
Triple: [RT, owner, ANO TV-Novosti]
Generated description
ANO TV-Novosti is a Russian state-funded media organization that operates the international television network RT (formerly Russia Today).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ANO TV-Novosti
Target entity description: ANO TV-Novosti is a Russian state-funded media organization that operates the international television network RT (formerly Russia Today).
  • A. NTV
    NTV is a major Japanese commercial television network known for its wide range of news, entertainment, and sports programming.
  • B. NET TV
    NET TV is a Catholic television network based in Brooklyn that produces and broadcasts religious and community programming for the Diocese of Brooklyn and surrounding areas.
  • C. NOW TV
    NOW TV is a subscription-based streaming television service offering on-demand movies, entertainment, and sports content, primarily in the UK and Ireland.
  • D. AP Television News
    AP Television News is the Associated Press’s global video news agency, providing broadcast-quality news footage and coverage to television and digital broadcasters worldwide.
  • E. UNTV
    UNTV is a Philippine television network known for its public service-oriented programming, news coverage, and religious content.
  • F. None of above. chosen

Provenance (5 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_69bd443e941881908eb4e8c685b6f656 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7541b2bc8190b58c2a23733b7825 completed March 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb14d1ea88190b8bc523ff44478f6 completed March 21, 2026, 2:55 p.m.
NEDg Description generation batch_69beb252ca2c8190b1bf7978b50c7ef6 completed March 21, 2026, 2:59 p.m.
NED2 Entity disambiguation (via description) batch_69beb2b989788190b81e6f60398bd49d completed March 21, 2026, 3:01 p.m.
Created at: March 20, 2026, 1:40 p.m.