Triple

T8236975
Position Surface form Disambiguated ID Type / Status
Subject Max Ernst E192434 entity
Predicate placeOfBirth P1 FINISHED
Object Brühl
Brühl is a German town in North Rhine-Westphalia known for its historic architecture and as the birthplace of surrealist artist Max Ernst.
 E727753 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: Brühl | Statement: [Max Ernst, placeOfBirth, Brühl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brühl
Context triple: [Max Ernst, placeOfBirth, Brühl]
  • A. Lippendorf
    Lippendorf is a village in Saxony, Germany, historically notable as the birthplace of Katharina von Bora, the wife of Martin Luther.
  • B. Karlshagen
    Karlshagen is a seaside resort village on the Baltic coast of northeastern Germany, located on the island of Usedom and known for its sandy beaches and tourism.
  • C. Cölln
    Cölln was a historic town on the River Spree that, together with Berlin, formed the core of what later became the city of Berlin.
  • D. Seelingstädt
    Seelingstädt is a village and subdivision of the town of Trebsen in the German state of Saxony.
  • E. Grevesmühlen
    Grevesmühlen is a small town in the German state of Mecklenburg-Vorpommern, known as a local administrative and service center in the north of the country.
  • 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: Brühl
Triple: [Max Ernst, placeOfBirth, Brühl]
Generated description
Brühl is a German town in North Rhine-Westphalia known for its historic architecture and as the birthplace of surrealist artist Max Ernst.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brühl
Target entity description: Brühl is a German town in North Rhine-Westphalia known for its historic architecture and as the birthplace of surrealist artist Max Ernst.
  • A. Lippendorf
    Lippendorf is a village in Saxony, Germany, historically notable as the birthplace of Katharina von Bora, the wife of Martin Luther.
  • B. Karlshagen
    Karlshagen is a seaside resort village on the Baltic coast of northeastern Germany, located on the island of Usedom and known for its sandy beaches and tourism.
  • C. Cölln
    Cölln was a historic town on the River Spree that, together with Berlin, formed the core of what later became the city of Berlin.
  • D. Seelingstädt
    Seelingstädt is a village and subdivision of the town of Trebsen in the German state of Saxony.
  • E. Grevesmühlen
    Grevesmühlen is a small town in the German state of Mecklenburg-Vorpommern, known as a local administrative and service center in the north of the country.
  • 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_69ca82dc8f148190a2c75a98501a7b91 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb783929c081909db1182947755bae completed March 31, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc6b591d081909e1fb450508197f2 completed April 2, 2026, 1:30 a.m.
NEDg Description generation batch_69cdcc8439cc8190b00ce9b0781d0544 completed April 2, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_69cdcdd1a0c08190aa15e665a38945e7 completed April 2, 2026, 2 a.m.
Created at: March 30, 2026, 5:47 p.m.