Triple

T4809986
Position Surface form Disambiguated ID Type / Status
Subject Gijsbrecht van Aemstel E107043 entity
Predicate hasCharacter P2308 FINISHED
Object Badeloch
Badeloch is a central female character in Joost van den Vondel’s Dutch play "Gijsbrecht van Aemstel," known as the loyal and tragic wife of the title hero.
 E472320 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: Badeloch | Statement: [Gijsbrecht van Aemstel, hasCharacter, Badeloch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Badeloch
Context triple: [Gijsbrecht van Aemstel, hasCharacter, Badeloch]
  • A. Vogelthal
    Vogelthal is a small village in Bavaria, Germany, known as the birthplace of World War II tank commander Michael Wittmann.
  • B. Schöngarth
    Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
  • C. Hesselberg
    Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
  • D. Seckbach
    Seckbach is a district in the east of Frankfurt am Main, Germany, known for its residential character and proximity to green spaces like the Lohrberg.
  • E. Naunhof
    Naunhof is a small town in the Free State of Saxony in eastern Germany, known for its surrounding lakes and forests near the city of Leipzig.
  • 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: Badeloch
Triple: [Gijsbrecht van Aemstel, hasCharacter, Badeloch]
Generated description
Badeloch is a central female character in Joost van den Vondel’s Dutch play "Gijsbrecht van Aemstel," known as the loyal and tragic wife of the title hero.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Badeloch
Target entity description: Badeloch is a central female character in Joost van den Vondel’s Dutch play "Gijsbrecht van Aemstel," known as the loyal and tragic wife of the title hero.
  • A. Vogelthal
    Vogelthal is a small village in Bavaria, Germany, known as the birthplace of World War II tank commander Michael Wittmann.
  • B. Schöngarth
    Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
  • C. Hesselberg
    Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
  • D. Seckbach
    Seckbach is a district in the east of Frankfurt am Main, Germany, known for its residential character and proximity to green spaces like the Lohrberg.
  • E. Naunhof
    Naunhof is a small town in the Free State of Saxony in eastern Germany, known for its surrounding lakes and forests near the city of Leipzig.
  • 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_69bd43f779448190b92885cb70abb6c2 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c7b879081908e0c92a67422906e completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4daa52ec8190a3243313b18a4f3d completed March 21, 2026, 7:50 a.m.
NEDg Description generation batch_69be4e4d3d608190837c5808f2f17aa4 completed March 21, 2026, 7:52 a.m.
NED2 Entity disambiguation (via description) batch_69be4f107e7c8190aec4a7bcf0520ec9 completed March 21, 2026, 7:56 a.m.
Created at: March 20, 2026, 1:23 p.m.