Triple

T5684012
Position Surface form Disambiguated ID Type / Status
Subject Pyotr Tolstoy E125266 entity
Predicate employer P7 FINISHED
Object Channel One Russia E448632 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: Channel One Russia | Statement: [Pyotr Tolstoy, employer, Channel One Russia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Channel One Russia
Context triple: [Pyotr Tolstoy, employer, Channel One Russia]
  • A. Russian state television chosen
    Russian state television is the network of state-controlled TV channels in Russia that serve as the government’s primary tool for nationwide news, information, and political messaging.
  • B. NTV
    NTV is a major Japanese commercial television network known for its wide range of news, entertainment, and sports programming.
  • C. ANO TV-Novosti
    ANO TV-Novosti is a Russian state-funded media organization that operates the international television network RT (formerly Russia Today).
  • D. Radio Moscow
    Radio Moscow is an American psychedelic blues-rock band known for its heavy, vintage-inspired sound and guitar-driven performances.
  • E. Sansad TV
    Sansad TV is an Indian parliamentary television channel that provides live coverage and analysis of proceedings from the country's legislative bodies along with related public affairs programming.
  • 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_69c0082a884c8190a79001bae658941f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023b8efc4819085675d0d3dfb2a54 completed March 22, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a39756c819098b06911c58d50a8 completed March 22, 2026, 9:08 p.m.
Created at: March 22, 2026, 3:44 p.m.