Triple

T9941059
Position Surface form Disambiguated ID Type / Status
Subject Ernst Beyeler E194081 entity
Predicate familyName P18 FINISHED
Object Beyeler
Beyeler is a Swiss surname most prominently associated with Ernst Beyeler, a renowned art dealer and founder of the Fondation Beyeler museum.
 E830650 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: Beyeler | Statement: [Ernst Beyeler, familyName, Beyeler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beyeler
Context triple: [Ernst Beyeler, familyName, Beyeler]
  • A. Beno-Yurt
    Beno-Yurt is a rural locality in the Chechen Republic of Russia, known as the hometown of mixed martial artist Khamzat Chimaev.
  • B. Büyükerşen
    Büyükerşen is a Turkish surname most prominently associated with Yılmaz Büyükerşen, a well-known academic and long-serving mayor of Eskişehir.
  • C. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • D. Bessude
    Bessude is a small municipality in the Logudoro region of northern Sardinia, Italy, known for its rural landscape and traditional Sardinian culture.
  • E. Hansaray
    Hansaray is a historic Crimean Tatar palace complex in Bakhchisarai that served as the residence of the Crimean Khans and a major cultural and political center.
  • 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: Beyeler
Triple: [Ernst Beyeler, familyName, Beyeler]
Generated description
Beyeler is a Swiss surname most prominently associated with Ernst Beyeler, a renowned art dealer and founder of the Fondation Beyeler museum.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beyeler
Target entity description: Beyeler is a Swiss surname most prominently associated with Ernst Beyeler, a renowned art dealer and founder of the Fondation Beyeler museum.
  • A. Beno-Yurt
    Beno-Yurt is a rural locality in the Chechen Republic of Russia, known as the hometown of mixed martial artist Khamzat Chimaev.
  • B. Büyükerşen
    Büyükerşen is a Turkish surname most prominently associated with Yılmaz Büyükerşen, a well-known academic and long-serving mayor of Eskişehir.
  • C. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • D. Bessude
    Bessude is a small municipality in the Logudoro region of northern Sardinia, Italy, known for its rural landscape and traditional Sardinian culture.
  • E. Hansaray
    Hansaray is a historic Crimean Tatar palace complex in Bakhchisarai that served as the residence of the Crimean Khans and a major cultural and political center.
  • 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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb60f4ffc8190bfe916bb4a7bf5c5 completed April 2, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d229080d0081908b66b9c4166db252 completed April 5, 2026, 9:19 a.m.
NEDg Description generation batch_69d22a07d4088190b19b4529c0a56f8d completed April 5, 2026, 9:23 a.m.
NED2 Entity disambiguation (via description) batch_69d22b37ce8481909a52a144605d44a4 completed April 5, 2026, 9:28 a.m.
Created at: March 30, 2026, 8:44 p.m.