Triple

T10647747
Position Surface form Disambiguated ID Type / Status
Subject The Killing (Denmark) E250880 entity
Predicate originalNetwork P2594 FINISHED
Object DR1
DR1 is Denmark’s primary national television channel, operated by the public broadcaster DR and known for producing high-quality Danish drama and news programming.
 E878215 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: DR1 | Statement: [The Killing (Denmark), originalNetwork, DR1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DR1
Context triple: [The Killing (Denmark), originalNetwork, DR1]
  • A. DRS
    DRS is the stock ticker symbol for Leonardo DRS, an American defense technology company specializing in advanced military and intelligence systems.
  • B. DRS
    DRS is the three-letter IATA airport code for Dresden Airport in Dresden, Germany.
  • C. DR 13 de Marzo
    DR 13 de Marzo is a Cuban revolutionary student organization known for its militant opposition to the Batista regime in the 1950s.
  • D. DRA
    DRA is the commonly used abbreviation for the Democratic Republic of Afghanistan, the Soviet-aligned Afghan state that existed from 1978 to 1992.
  • E. QDR
    QDR is a major U.S. Department of Defense strategic review conducted every four years to assess and guide long-term defense priorities, capabilities, and force structure.
  • 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: DR1
Triple: [The Killing (Denmark), originalNetwork, DR1]
Generated description
DR1 is Denmark’s primary national television channel, operated by the public broadcaster DR and known for producing high-quality Danish drama and news programming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DR1
Target entity description: DR1 is Denmark’s primary national television channel, operated by the public broadcaster DR and known for producing high-quality Danish drama and news programming.
  • A. DRS
    DRS is the stock ticker symbol for Leonardo DRS, an American defense technology company specializing in advanced military and intelligence systems.
  • B. DRS
    DRS is the three-letter IATA airport code for Dresden Airport in Dresden, Germany.
  • C. DR 13 de Marzo
    DR 13 de Marzo is a Cuban revolutionary student organization known for its militant opposition to the Batista regime in the 1950s.
  • D. DRA
    DRA is the commonly used abbreviation for the Democratic Republic of Afghanistan, the Soviet-aligned Afghan state that existed from 1978 to 1992.
  • E. QDR
    QDR is a major U.S. Department of Defense strategic review conducted every four years to assess and guide long-term defense priorities, capabilities, and force structure.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfe29b8081908eb13637e0475ba1 completed April 8, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a60fdd881908987f920a19bb41e completed April 10, 2026, 10:32 p.m.
NEDg Description generation batch_69d97cc20448819094d650b9c1067dca completed April 10, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69d97e0cda0c8190af5013b971b2ad3c completed April 10, 2026, 10:47 p.m.
Created at: April 8, 2026, 9:05 p.m.