Triple

T5732030
Position Surface form Disambiguated ID Type / Status
Subject Dogville E126405 entity
Predicate musicBy P1952 FINISHED
Object Joachim Holbek
Joachim Holbek is a Danish composer best known for creating the musical score for Lars von Trier’s film "Dogville."
E547288 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: Joachim Holbek | Statement: [Dogville, musicBy, Joachim Holbek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joachim Holbek
Context triple: [Dogville, musicBy, Joachim Holbek]
  • A. Nicolai Eigtved
    Nicolai Eigtved was an 18th-century Danish architect and master of the Rococo style, influential in shaping Copenhagen’s royal and urban architecture.
  • B. Jens Berthel Askou
    Jens Berthel Askou is a Danish football manager and former defender known for his coaching roles in Scandinavian clubs, including IFK Göteborg.
  • C. Poul H. Damgaard
    Poul H. Damgaard is a Danish theoretical physicist known for his work in quantum field theory and his long-standing association with the Niels Bohr Institute.
  • D. Preben Kaas
    Preben Kaas was a Danish actor, comedian, and film director known for his prominent roles in Danish cinema and television during the mid-20th century.
  • E. Morten Ristorp
    Morten Ristorp is a Danish songwriter and producer known for his work on international pop and R&B hits.
  • 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: Joachim Holbek
Triple: [Dogville, musicBy, Joachim Holbek]
Generated description
Joachim Holbek is a Danish composer best known for creating the musical score for Lars von Trier’s film "Dogville."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Joachim Holbek
Target entity description: Joachim Holbek is a Danish composer best known for creating the musical score for Lars von Trier’s film "Dogville."
  • A. Nicolai Eigtved
    Nicolai Eigtved was an 18th-century Danish architect and master of the Rococo style, influential in shaping Copenhagen’s royal and urban architecture.
  • B. Jens Berthel Askou
    Jens Berthel Askou is a Danish football manager and former defender known for his coaching roles in Scandinavian clubs, including IFK Göteborg.
  • C. Poul H. Damgaard
    Poul H. Damgaard is a Danish theoretical physicist known for his work in quantum field theory and his long-standing association with the Niels Bohr Institute.
  • D. Preben Kaas
    Preben Kaas was a Danish actor, comedian, and film director known for his prominent roles in Danish cinema and television during the mid-20th century.
  • E. Morten Ristorp
    Morten Ristorp is a Danish songwriter and producer known for his work on international pop and R&B hits.
  • 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_69c0083082288190b7478cead6b5430a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02532fd308190a7434dd42a55e9ac completed March 22, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c097f372a08190b4e9d52ba138d872 completed March 23, 2026, 1:31 a.m.
NEDg Description generation batch_69c0990bf38081908c09c5dfe660c35b completed March 23, 2026, 1:36 a.m.
NED2 Entity disambiguation (via description) batch_69c099b4bc4481909e7cf6886e5ccbea completed March 23, 2026, 1:39 a.m.
Created at: March 22, 2026, 3:47 p.m.