Triple

T9941085
Position Surface form Disambiguated ID Type / Status
Subject Ernst Beyeler E194081 entity
Predicate partnerInBusinessWith P282 FINISHED
Object Trudl Bruckner
Trudl Bruckner was a Swiss art dealer and gallerist who co-founded and ran an influential art gallery with Ernst Beyeler.
E830651 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: Trudl Bruckner | Statement: [Ernst Beyeler, partnerInBusinessWith, Trudl Bruckner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trudl Bruckner
Context triple: [Ernst Beyeler, partnerInBusinessWith, Trudl Bruckner]
  • A. Elisabeth Scholl
    Elisabeth Scholl was the sister of German resistance members Hans and Sophie Scholl and later became known for preserving and sharing the history of the White Rose movement.
  • B. Margarete Braun
    Margarete Braun is known primarily as the daughter of Franziska Kronberger.
  • C. Margarete Weber
    Margarete Weber was the wife of Albert Speer, the Nazi Germany architect and armaments minister.
  • D. Truida Pohl
    Truida Pohl was the wife of prominent Afrikaans poet and intellectual N. P. van Wyk Louw.
  • E. Margarethe Cammermeyer
    Margarethe Cammermeyer is a retired U.S. Army colonel and nurse who became a prominent LGBTQ+ rights figure after being discharged for being a lesbian and successfully challenging the military’s ban on gay service members.
  • 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: Trudl Bruckner
Triple: [Ernst Beyeler, partnerInBusinessWith, Trudl Bruckner]
Generated description
Trudl Bruckner was a Swiss art dealer and gallerist who co-founded and ran an influential art gallery with Ernst Beyeler.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Trudl Bruckner
Target entity description: Trudl Bruckner was a Swiss art dealer and gallerist who co-founded and ran an influential art gallery with Ernst Beyeler.
  • A. Elisabeth Scholl
    Elisabeth Scholl was the sister of German resistance members Hans and Sophie Scholl and later became known for preserving and sharing the history of the White Rose movement.
  • B. Margarete Braun
    Margarete Braun is known primarily as the daughter of Franziska Kronberger.
  • C. Margarete Weber
    Margarete Weber was the wife of Albert Speer, the Nazi Germany architect and armaments minister.
  • D. Truida Pohl
    Truida Pohl was the wife of prominent Afrikaans poet and intellectual N. P. van Wyk Louw.
  • E. Margarethe Cammermeyer
    Margarethe Cammermeyer is a retired U.S. Army colonel and nurse who became a prominent LGBTQ+ rights figure after being discharged for being a lesbian and successfully challenging the military’s ban on gay service members.
  • 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.