Triple

T18133819
Position Surface form Disambiguated ID Type / Status
Subject Preben Kaas E434084 entity
Predicate givenName P17 FINISHED
Object Preben
Preben is a masculine given name commonly used in Scandinavian countries, particularly Denmark and Norway.
 E1308835 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: Preben | Statement: [Preben Kaas, givenName, Preben]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Preben
Context triple: [Preben Kaas, givenName, Preben]
  • A. 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.
  • B. Preben Elkjær
    Preben Elkjær is a renowned Danish former striker best known for his prolific goal-scoring with Hellas Verona and the Denmark national team during the 1980s.
  • C. Jørgen
    Jørgen is a Scandinavian male given name, commonly used in Denmark and Norway and related to the name George.
  • D. Bodil Ipsen Christensen
    Bodil Ipsen Christensen is a Danish individual notable enough to be recognized as a prominent bearer of the surname Christensen.
  • E. Poul
    Poul is a masculine given name, primarily used in Danish and other Scandinavian contexts, cognate with the name Paul.
  • 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: Preben
Triple: [Preben Kaas, givenName, Preben]
Generated description
Preben is a masculine given name commonly used in Scandinavian countries, particularly Denmark and Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Preben
Target entity description: Preben is a masculine given name commonly used in Scandinavian countries, particularly Denmark and Norway.
  • A. 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.
  • B. Preben Elkjær
    Preben Elkjær is a renowned Danish former striker best known for his prolific goal-scoring with Hellas Verona and the Denmark national team during the 1980s.
  • C. Jørgen
    Jørgen is a Scandinavian male given name, commonly used in Denmark and Norway and related to the name George.
  • D. Bodil Ipsen Christensen
    Bodil Ipsen Christensen is a Danish individual notable enough to be recognized as a prominent bearer of the surname Christensen.
  • E. Poul
    Poul is a masculine given name, primarily used in Danish and other Scandinavian contexts, cognate with the name Paul.
  • 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de055c608190a090c2737904e5f9 completed April 19, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0385489c3c8190b7e20d6c8c75ea16 completed May 12, 2026, 7:53 p.m.
NEDg Description generation batch_6a038acaf8f48190b88562c0a1df9109 completed May 12, 2026, 8:17 p.m.
NED2 Entity disambiguation (via description) batch_6a038b4132bc8190992cae1400894fef completed May 12, 2026, 8:19 p.m.
Created at: April 10, 2026, 10:29 a.m.