Triple

T16515046
Position Surface form Disambiguated ID Type / Status
Subject Danish Broadcasting Corporation E401159 entity
Predicate hasDivision P35 FINISHED
Object DR Ung
DR Ung is a division of the Danish Broadcasting Corporation focused on producing and curating content for children and young audiences.
E1218918 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: DR Ung | Statement: [Danish Broadcasting Corporation, hasDivision, DR Ung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DR Ung
Context triple: [Danish Broadcasting Corporation, hasDivision, DR Ung]
  • A. Unger
    Unger is a German-origin surname borne by various notable individuals across fields such as politics, arts, and academia.
  • B. Uzal G. Ent
    Uzal G. Ent was a United States Army Air Forces general best known for leading strategic bombing operations against Axis oil refineries during World War II.
  • C. Du
    Du is a town and administrative settlement located within Jos South Local Government Area in Plateau State, Nigeria.
  • D. Du
    Du is a Chinese surname historically borne by notable figures such as the Tang dynasty poet Du Fu.
  • E. Undun
    Undun is a concept album by hip hop band The Roots that narrates the rise and fall of a fictional young man through introspective, jazz-influenced production and storytelling.
  • 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: DR Ung
Triple: [Danish Broadcasting Corporation, hasDivision, DR Ung]
Generated description
DR Ung is a division of the Danish Broadcasting Corporation focused on producing and curating content for children and young audiences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DR Ung
Target entity description: DR Ung is a division of the Danish Broadcasting Corporation focused on producing and curating content for children and young audiences.
  • A. Unger
    Unger is a German-origin surname borne by various notable individuals across fields such as politics, arts, and academia.
  • B. Uzal G. Ent
    Uzal G. Ent was a United States Army Air Forces general best known for leading strategic bombing operations against Axis oil refineries during World War II.
  • C. Du
    Du is a town and administrative settlement located within Jos South Local Government Area in Plateau State, Nigeria.
  • D. Du
    Du is a Chinese surname historically borne by notable figures such as the Tang dynasty poet Du Fu.
  • E. Undun
    Undun is a concept album by hip hop band The Roots that narrates the rise and fall of a fictional young man through introspective, jazz-influenced production and storytelling.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e7bbfa481909037148cdb4d8996 completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006084949081909e8cdfeafa7564de completed May 10, 2026, 10:40 a.m.
NEDg Description generation batch_6a006322c2f48190aa917f122a33165f completed May 10, 2026, 10:51 a.m.
NED2 Entity disambiguation (via description) batch_6a0063fa6f0c8190906856eb07d80973 completed May 10, 2026, 10:54 a.m.
Created at: April 10, 2026, 5:14 a.m.