Triple

T15886049
Position Surface form Disambiguated ID Type / Status
Subject Knut Vollebæk E385194 entity
Predicate givenName P17 FINISHED
Object Knut
Knut is a masculine given name of Scandinavian origin, commonly used in Norway, Denmark, and Sweden.
 E938379 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: Knut | Statement: [Knut Vollebæk, givenName, Knut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Knut
Context triple: [Knut Vollebæk, givenName, Knut]
  • A. Knut the Great
    Knut the Great was an early 11th-century king who ruled a vast North Sea empire encompassing England, Denmark, and Norway.
  • B. Nils
    Nils is a Scandinavian male given name, commonly used in countries like Norway and Sweden and derived from the name Nicholas.
  • C. Knute
    Knute is the given name of Knute Rockne, the legendary early 20th-century American football coach at the University of Notre Dame.
  • D. Brunni
    Brunni is a popular alpine area and ski resort in the Engelberg region of central Switzerland, known for its scenic hiking trails and family-friendly winter sports.
  • E. Totilas
    Totilas was a legendary Dutch Warmblood dressage stallion renowned for his record-breaking performances and multiple world titles in international competition.
  • 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: Knut
Triple: [Knut Vollebæk, givenName, Knut]
Generated description
Knut is a masculine given name of Scandinavian origin, commonly used in Norway, Denmark, and Sweden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Knut
Target entity description: Knut is a masculine given name of Scandinavian origin, commonly used in Norway, Denmark, and Sweden.
  • A. Knut the Great chosen
    Knut the Great was an early 11th-century king who ruled a vast North Sea empire encompassing England, Denmark, and Norway.
  • B. Nils
    Nils is a Scandinavian male given name, commonly used in countries like Norway and Sweden and derived from the name Nicholas.
  • C. Knute
    Knute is the given name of Knute Rockne, the legendary early 20th-century American football coach at the University of Notre Dame.
  • D. Brunni
    Brunni is a popular alpine area and ski resort in the Engelberg region of central Switzerland, known for its scenic hiking trails and family-friendly winter sports.
  • E. Totilas
    Totilas was a legendary Dutch Warmblood dressage stallion renowned for his record-breaking performances and multiple world titles in international competition.
  • F. None of above.

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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1561a68d8819099e60e2f1f0db07a completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa95651f88190a9aac72a667b999f completed May 9, 2026, 9:38 p.m.
NEDg Description generation batch_69ffaa07df788190bae67f3d9a800331 completed May 9, 2026, 9:41 p.m.
NED2 Entity disambiguation (via description) batch_69ffaaa92a648190a09829ef3197223c completed May 9, 2026, 9:44 p.m.
Created at: April 10, 2026, 4:51 a.m.