Triple

T14155910
Position Surface form Disambiguated ID Type / Status
Subject Kirchner E350812 entity
Predicate hasNotableBearer P458 FINISHED
Object Mark Kirchner (biathlete)
Mark Kirchner is a former German biathlete who was one of the sport’s leading competitors in the early 1990s, winning multiple Olympic and World Championship medals.
E1084004 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: Mark Kirchner (biathlete) | Statement: [Kirchner, hasNotableBearer, Mark Kirchner (biathlete)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Kirchner (biathlete)
Context triple: [Kirchner, hasNotableBearer, Mark Kirchner (biathlete)]
  • A. Carlo Caneva
    Carlo Caneva was an Italian general best known for commanding Italy’s expeditionary forces during the Italo-Turkish War in Libya.
  • B. Simon Ammann
    Simon Ammann is a Swiss ski jumper and multiple Olympic champion renowned for his dominance in the sport during the early 2000s.
  • C. Jossi Wieler
    Jossi Wieler is a renowned Swiss theater and opera director known for his innovative, character-focused productions across major European stages.
  • D. David Hackl
    David Hackl is a Canadian film director and production designer best known for his work on the Saw horror franchise, particularly directing Saw V.
  • E. Sacha Maric
    Sacha Maric is a writer known for contributing to the song "Send It Up."
  • 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: Mark Kirchner (biathlete)
Triple: [Kirchner, hasNotableBearer, Mark Kirchner (biathlete)]
Generated description
Mark Kirchner is a former German biathlete who was one of the sport’s leading competitors in the early 1990s, winning multiple Olympic and World Championship medals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mark Kirchner (biathlete)
Target entity description: Mark Kirchner is a former German biathlete who was one of the sport’s leading competitors in the early 1990s, winning multiple Olympic and World Championship medals.
  • A. Carlo Caneva
    Carlo Caneva was an Italian general best known for commanding Italy’s expeditionary forces during the Italo-Turkish War in Libya.
  • B. Simon Ammann
    Simon Ammann is a Swiss ski jumper and multiple Olympic champion renowned for his dominance in the sport during the early 2000s.
  • C. Jossi Wieler
    Jossi Wieler is a renowned Swiss theater and opera director known for his innovative, character-focused productions across major European stages.
  • D. David Hackl
    David Hackl is a Canadian film director and production designer best known for his work on the Saw horror franchise, particularly directing Saw V.
  • E. Sacha Maric
    Sacha Maric is a writer known for contributing to the song "Send It Up."
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6135744c81909a43d659f5fe2895 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7ec6448819087e50aac964ec637 completed May 7, 2026, 8:37 p.m.
NEDg Description generation batch_69fd06d23af481909924b61260788f0b completed May 7, 2026, 9:40 p.m.
NED2 Entity disambiguation (via description) batch_69fd075f7a40819097de4bdbd3fad547 completed May 7, 2026, 9:42 p.m.
Created at: April 10, 2026, 12:58 a.m.