Triple

T1060785
Position Surface form Disambiguated ID Type / Status
Subject Tonje Brenna E22901 entity
Predicate givenName P17 FINISHED
Object Tonje
Tonje is a feminine given name commonly used in Norway, often as a diminutive of names like Antonie or Antonia.
 E123882 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: Tonje | Statement: [Tonje Brenna, givenName, Tonje]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tonje
Context triple: [Tonje Brenna, givenName, Tonje]
  • A. Catharina Bolnes
    Catharina Bolnes was the wife of Dutch painter Johannes Vermeer and the mother of his many children, known primarily through her connection to the artist’s life and estate.
  • B. Tonje Brenna
    Tonje Brenna is a Norwegian politician from the Labour Party who has held prominent leadership roles and served as a government minister.
  • C. Katrin
    Katrin is a feminine given name, commonly used in various European countries, that is a variant of the name Catherine.
  • D. Greta
    Greta is a small town located within the Hunter Region of New South Wales, Australia.
  • E. Greta
    Greta is a feminine given name, commonly used as a diminutive or variant of names like Margaret in various European languages.
  • 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: Tonje
Triple: [Tonje Brenna, givenName, Tonje]
Generated description
Tonje is a feminine given name commonly used in Norway, often as a diminutive of names like Antonie or Antonia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tonje
Target entity description: Tonje is a feminine given name commonly used in Norway, often as a diminutive of names like Antonie or Antonia.
  • A. Catharina Bolnes
    Catharina Bolnes was the wife of Dutch painter Johannes Vermeer and the mother of his many children, known primarily through her connection to the artist’s life and estate.
  • B. Tonje Brenna
    Tonje Brenna is a Norwegian politician from the Labour Party who has held prominent leadership roles and served as a government minister.
  • C. Katrin
    Katrin is a feminine given name, commonly used in various European countries, that is a variant of the name Catherine.
  • D. Greta
    Greta is a small town located within the Hunter Region of New South Wales, Australia.
  • E. Greta
    Greta is a feminine given name, commonly used as a diminutive or variant of names like Margaret in various European languages.
  • 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_69a493dada0481909c43649f9843ea91 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8f3f98c819096338198d9f30491 completed March 1, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42a14b548190a796e49c545c9a9e completed March 7, 2026, 3:22 p.m.
NEDg Description generation batch_69ac4311f7f08190ae86aacb7f2103d7 completed March 7, 2026, 3:24 p.m.
NED2 Entity disambiguation (via description) batch_69ac43891ed88190a5b8b51341e98929 completed March 7, 2026, 3:26 p.m.
Created at: March 1, 2026, 7:42 p.m.