Triple

T17848340
Position Surface form Disambiguated ID Type / Status
Subject Fritz Luchsinger E445722 entity
Predicate hasFamilyName P18 FINISHED
Object Luchsinger
Luchsinger is a Swiss surname of Germanic origin, borne by various notable individuals including mountaineers and public figures.
E1290650 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: Luchsinger | Statement: [Fritz Luchsinger, hasFamilyName, Luchsinger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luchsinger
Context triple: [Fritz Luchsinger, hasFamilyName, Luchsinger]
  • A. Wolf Lieser
    Wolf Lieser is a German gallerist and curator best known for founding the Digital Art Museum (DAM) and promoting digital and computer-based art.
  • B. Wolf Kretzschmar
    Wolf Kretzschmar is a film and television producer known for his work on the Norwegian Netflix series "Home for Christmas."
  • C. Hainsch Heller
    Hainsch Heller is a mountaineer known for making the second recorded ascent of the formidable Karakoram peak Ogre (Baintha Brakk).
  • D. Kritzinger
    Kritzinger is a German surname most notably associated with Friedrich Wilhelm Kritzinger, a high-ranking Nazi official involved in the administrative planning of the Holocaust.
  • E. Dannhauser
    Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
  • 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: Luchsinger
Triple: [Fritz Luchsinger, hasFamilyName, Luchsinger]
Generated description
Luchsinger is a Swiss surname of Germanic origin, borne by various notable individuals including mountaineers and public figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Luchsinger
Target entity description: Luchsinger is a Swiss surname of Germanic origin, borne by various notable individuals including mountaineers and public figures.
  • A. Wolf Lieser
    Wolf Lieser is a German gallerist and curator best known for founding the Digital Art Museum (DAM) and promoting digital and computer-based art.
  • B. Wolf Kretzschmar
    Wolf Kretzschmar is a film and television producer known for his work on the Norwegian Netflix series "Home for Christmas."
  • C. Hainsch Heller
    Hainsch Heller is a mountaineer known for making the second recorded ascent of the formidable Karakoram peak Ogre (Baintha Brakk).
  • D. Kritzinger
    Kritzinger is a German surname most notably associated with Friedrich Wilhelm Kritzinger, a high-ranking Nazi official involved in the administrative planning of the Holocaust.
  • E. Dannhauser
    Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48ffc5fec8190adc66f7b0e264d5f completed April 19, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0307039ae881909222fcc9827735d2 completed May 12, 2026, 10:54 a.m.
NEDg Description generation batch_6a0307db9948819099bdf6f3b36893dd completed May 12, 2026, 10:58 a.m.
NED2 Entity disambiguation (via description) batch_6a030862678881908da2ffe271723572 completed May 12, 2026, 11 a.m.
Created at: April 10, 2026, 10:16 a.m.