Triple

T16603013
Position Surface form Disambiguated ID Type / Status
Subject Berend E403376 entity
Predicate hasCognate P2525 FINISHED
Object Bernt
Bernt is a masculine given name, primarily used in Germanic and Scandinavian countries, that is related to names like Berend and Bernhard.
 E1223250 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: Bernt | Statement: [Berend, hasCognate, Bernt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bernt
Context triple: [Berend, hasCognate, Bernt]
  • A. Einar
    Einar is a masculine given name of Norse origin commonly used in Scandinavian countries.
  • B. Halvard
    Halvard is a masculine given name of Scandinavian origin, particularly common in Norway.
  • C. Vilhelm
    Vilhelm is a masculine given name of Germanic origin, related to William and common in various Scandinavian and European countries.
  • D. Torbjørn
    Torbjørn is a Scandinavian masculine given name, particularly common in Norway, derived from Old Norse elements meaning "Thor" and "bear."
  • E. Kåre
    Kåre is a Scandinavian male given name, commonly used in countries such as Sweden and Norway.
  • 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: Bernt
Triple: [Berend, hasCognate, Bernt]
Generated description
Bernt is a masculine given name, primarily used in Germanic and Scandinavian countries, that is related to names like Berend and Bernhard.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bernt
Target entity description: Bernt is a masculine given name, primarily used in Germanic and Scandinavian countries, that is related to names like Berend and Bernhard.
  • A. Einar
    Einar is a masculine given name of Norse origin commonly used in Scandinavian countries.
  • B. Halvard
    Halvard is a masculine given name of Scandinavian origin, particularly common in Norway.
  • C. Vilhelm
    Vilhelm is a masculine given name of Germanic origin, related to William and common in various Scandinavian and European countries.
  • D. Torbjørn
    Torbjørn is a Scandinavian masculine given name, particularly common in Norway, derived from Old Norse elements meaning "Thor" and "bear."
  • E. Kåre
    Kåre is a Scandinavian male given name, commonly used in countries such as Sweden and Norway.
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35d77d97c8190a63330897e49a9c9 completed April 18, 2026, 10:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0075a67abc8190b0f29a9e4589befb completed May 10, 2026, 12:10 p.m.
NEDg Description generation batch_6a0079dd3630819095fcf8044d9335cc completed May 10, 2026, 12:28 p.m.
NED2 Entity disambiguation (via description) batch_6a007aa7180c8190b79db43e5cac19d3 completed May 10, 2026, 12:31 p.m.
Created at: April 10, 2026, 5:17 a.m.