Triple

T9978694
Position Surface form Disambiguated ID Type / Status
Subject Kunegunda E196395 entity
Predicate hasCognate P2525 FINISHED
Object Kinga
Kinga is a feminine given name, commonly used in Central and Eastern Europe, that is cognate with the name Kunegunda.
 E834066 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: Kinga | Statement: [Kunegunda, hasCognate, Kinga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kinga
Context triple: [Kunegunda, hasCognate, Kinga]
  • A. Kinga Burza
    Kinga Burza is a Polish-Australian music video director known for her stylish, pop-centric visuals for artists such as Katy Perry.
  • B. Queen Kapes
    Queen Kapes was an ancient Egyptian royal woman of the 22nd Dynasty, best known as the consort of Pharaoh Takelot I and the mother of Pharaoh Osorkon II.
  • C. Queen Sasha
    Queen Sasha is a character from Stephen King’s fantasy novel "The Eyes of the Dragon," known as the compassionate and wise queen of Delain and mother of Prince Peter.
  • D. Daji
    Daji is a legendary figure in Chinese mythology, often depicted as a beautiful but malevolent consort whose influence is blamed for the downfall of the Shang dynasty.
  • E. Lady Gan
    Lady Gan was a consort of Liu Bei and the mother of Shu Han’s second emperor, Liu Shan, during the Three Kingdoms period of Chinese history.
  • 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: Kinga
Triple: [Kunegunda, hasCognate, Kinga]
Generated description
Kinga is a feminine given name, commonly used in Central and Eastern Europe, that is cognate with the name Kunegunda.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kinga
Target entity description: Kinga is a feminine given name, commonly used in Central and Eastern Europe, that is cognate with the name Kunegunda.
  • A. Kinga Burza
    Kinga Burza is a Polish-Australian music video director known for her stylish, pop-centric visuals for artists such as Katy Perry.
  • B. Queen Kapes
    Queen Kapes was an ancient Egyptian royal woman of the 22nd Dynasty, best known as the consort of Pharaoh Takelot I and the mother of Pharaoh Osorkon II.
  • C. Queen Sasha
    Queen Sasha is a character from Stephen King’s fantasy novel "The Eyes of the Dragon," known as the compassionate and wise queen of Delain and mother of Prince Peter.
  • D. Daji
    Daji is a legendary figure in Chinese mythology, often depicted as a beautiful but malevolent consort whose influence is blamed for the downfall of the Shang dynasty.
  • E. Lady Gan
    Lady Gan was a consort of Liu Bei and the mother of Shu Han’s second emperor, Liu Shan, during the Three Kingdoms period of Chinese history.
  • 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb850bde48190a06b77757f8c081b completed April 2, 2026, 12:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257d3fc308190b82b3731139d15cb completed April 5, 2026, 12:38 p.m.
NEDg Description generation batch_69d258b6d9c0819096dbd3e85dc6adfc completed April 5, 2026, 12:42 p.m.
NED2 Entity disambiguation (via description) batch_69d25981db3c8190b7b4935cdcc1fe1c completed April 5, 2026, 12:45 p.m.
Created at: March 30, 2026, 8:49 p.m.