Triple

T20477957
Position Surface form Disambiguated ID Type / Status
Subject Knut Agathon Wallenberg E502369 entity
Predicate givenName P17 FINISHED
Object Knut
Knut is a masculine given name of Scandinavian origin, commonly used in countries such as Sweden, Norway, and Denmark.
 E1432559 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 Agathon Wallenberg, givenName, Knut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Knut
Context triple: [Knut Agathon Wallenberg, givenName, Knut]
  • A. Knut the polar bear
    Knut the polar bear was a globally famous captive-born polar bear who became a major media sensation and conservation symbol after being hand-raised at the Berlin Zoo.
  • B. Knut the Great
    Knut the Great was an early 11th-century king who ruled a vast North Sea empire encompassing England, Denmark, and Norway.
  • C. Nils
    Nils is a Scandinavian male given name, commonly used in countries like Norway and Sweden and derived from the name Nicholas.
  • D. Knute
    Knute is the given name of Knute Rockne, the legendary early 20th-century American football coach at the University of Notre Dame.
  • E. 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.
  • 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 Agathon Wallenberg, givenName, Knut]
Generated description
Knut is a masculine given name of Scandinavian origin, commonly used in countries such as Sweden, Norway, and Denmark.
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 countries such as Sweden, Norway, and Denmark.
  • A. Knut the polar bear
    Knut the polar bear was a globally famous captive-born polar bear who became a major media sensation and conservation symbol after being hand-raised at the Berlin Zoo.
  • B. Knut the Great
    Knut the Great was an early 11th-century king who ruled a vast North Sea empire encompassing England, Denmark, and Norway.
  • C. Nils
    Nils is a Scandinavian male given name, commonly used in countries like Norway and Sweden and derived from the name Nicholas.
  • D. Knute
    Knute is the given name of Knute Rockne, the legendary early 20th-century American football coach at the University of Notre Dame.
  • E. 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.
  • 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_69e0b4af32848190aea80682b44d5d6e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69966b9748190a5296d8ab03c07a1 completed April 20, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a088b2359a88190bd1d74a298e56857 completed May 16, 2026, 3:20 p.m.
NEDg Description generation batch_6a088c3db5fc8190942a51ecd96e22fa completed May 16, 2026, 3:24 p.m.
NED2 Entity disambiguation (via description) batch_6a088cad8f6c819086c52adc846def8b completed May 16, 2026, 3:26 p.m.
Created at: April 16, 2026, 11:34 a.m.