Triple

T21655633
Position Surface form Disambiguated ID Type / Status
Subject University of Trier E534456 entity
Predicate hasRector P325 FINISHED
Object Dorothee Heller
Dorothee Heller is a German academic who has served as rector (president) of the University of Trier.
E1496246 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: Dorothee Heller | Statement: [University of Trier, hasRector, Dorothee Heller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorothee Heller
Context triple: [University of Trier, hasRector, Dorothee Heller]
  • A. Gisela Hahn
    Gisela Hahn is a German actress known for her roles in European genre films of the 1960s and 1970s.
  • B. Gudrun Bichler
    Gudrun Bichler is a fictional character from Elfriede Jelinek’s novel "Die Kinder der Toten," which explores themes of memory, trauma, and Austria’s Nazi past through experimental, ghostly narratives.
  • C. Gisela Richter
    Gisela Richter was a prominent German-born American classical archaeologist and art historian known for her influential work on Greek sculpture and vase painting.
  • D. Hanni Ehlers
    Hanni Ehlers is a German literary translator known for translating works of English-language authors into German.
  • E. Carola Kurlbaum
    Carola Kurlbaum was the wife of renowned architectural historian Nikolaus Pevsner and a significant personal influence and support throughout his career.
  • 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: Dorothee Heller
Triple: [University of Trier, hasRector, Dorothee Heller]
Generated description
Dorothee Heller is a German academic who has served as rector (president) of the University of Trier.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dorothee Heller
Target entity description: Dorothee Heller is a German academic who has served as rector (president) of the University of Trier.
  • A. Gisela Hahn
    Gisela Hahn is a German actress known for her roles in European genre films of the 1960s and 1970s.
  • B. Gudrun Bichler
    Gudrun Bichler is a fictional character from Elfriede Jelinek’s novel "Die Kinder der Toten," which explores themes of memory, trauma, and Austria’s Nazi past through experimental, ghostly narratives.
  • C. Gisela Richter
    Gisela Richter was a prominent German-born American classical archaeologist and art historian known for her influential work on Greek sculpture and vase painting.
  • D. Hanni Ehlers
    Hanni Ehlers is a German literary translator known for translating works of English-language authors into German.
  • E. Carola Kurlbaum
    Carola Kurlbaum was the wife of renowned architectural historian Nikolaus Pevsner and a significant personal influence and support throughout his career.
  • 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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef59185b208190a2cf4b8f54a2c231 completed April 27, 2026, 12:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a1e0fe61081908a1271ab0ae113c1 completed May 17, 2026, 7:59 p.m.
NEDg Description generation batch_6a0a1ebd2bbc819083021cbc5873bfed completed May 17, 2026, 8:02 p.m.
NED2 Entity disambiguation (via description) batch_6a0a1fa12dbc8190a263b12f75ef073b completed May 17, 2026, 8:05 p.m.
Created at: April 16, 2026, 6:36 p.m.