Triple

T8108941
Position Surface form Disambiguated ID Type / Status
Subject 1+1 Media Group E189295 entity
Predicate operates P24 FINISHED
Object 1+1 TV channel E36373 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: 1+1 TV channel | Statement: [1+1 Media Group, operates, 1+1 TV channel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 1+1 TV channel
Context triple: [1+1 Media Group, operates, 1+1 TV channel]
  • A. 1+1 (Ukrainian TV channel) chosen
    1+1 is a major Ukrainian national television channel known for broadcasting popular entertainment, news, and drama series.
  • B. Star TV
    Star TV is a major Asian satellite television network known for its broad entertainment and news programming across multiple countries.
  • C. ThisTV Network
    ThisTV Network is a U.S. digital multicast television network known for airing a wide selection of classic movies and television series.
  • D. We TV
    We TV is an American cable television network known for its reality programming focused on relationships, family life, and pop culture.
  • E. Channel 5
    Channel 5 is a British free-to-air television network known for a mix of entertainment, documentaries, and imported 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42fbc57c81908c6be87bbc547085 completed March 31, 2026, 3:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc9421794081909170ea11b09ae357 completed April 1, 2026, 3:42 a.m.
Created at: March 30, 2026, 5:32 p.m.