Triple

T16022097
Position Surface form Disambiguated ID Type / Status
Subject Ernst Torgler E388625 entity
Predicate familyName P18 FINISHED
Object Torgler
Torgler is a German-language surname most notably associated with Ernst Torgler, a German politician involved in the Reichstag fire trial.
 E1192645 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: Torgler | Statement: [Ernst Torgler, familyName, Torgler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Torgler
Context triple: [Ernst Torgler, familyName, Torgler]
  • A. Tettenweis
    Tettenweis is a small Bavarian village in Germany known as the birthplace of the Symbolist painter Franz von Stuck.
  • B. Tobel
    Tobel is a small settlement within the municipality of Lutzenberg in the canton of Appenzell Ausserrhoden, Switzerland.
  • C. Kriens
    Kriens is a Swiss town and municipality located near Lucerne, known as a residential and industrial suburb at the foot of Mount Pilatus.
  • D. Rutishauser
    Rutishauser is a Swiss surname most notably associated with Heinz Rutishauser, a pioneering mathematician and computer scientist in the field of numerical analysis and early programming languages.
  • E. Ottbergen
    Ottbergen is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
  • 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: Torgler
Triple: [Ernst Torgler, familyName, Torgler]
Generated description
Torgler is a German-language surname most notably associated with Ernst Torgler, a German politician involved in the Reichstag fire trial.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Torgler
Target entity description: Torgler is a German-language surname most notably associated with Ernst Torgler, a German politician involved in the Reichstag fire trial.
  • A. Tettenweis
    Tettenweis is a small Bavarian village in Germany known as the birthplace of the Symbolist painter Franz von Stuck.
  • B. Tobel
    Tobel is a small settlement within the municipality of Lutzenberg in the canton of Appenzell Ausserrhoden, Switzerland.
  • C. Kriens
    Kriens is a Swiss town and municipality located near Lucerne, known as a residential and industrial suburb at the foot of Mount Pilatus.
  • D. Rutishauser
    Rutishauser is a Swiss surname most notably associated with Heinz Rutishauser, a pioneering mathematician and computer scientist in the field of numerical analysis and early programming languages.
  • E. Ottbergen
    Ottbergen is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18323fc0881908bab7126d9ccf67d completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe47280448190923a36e9a41ce7bc completed May 10, 2026, 1:50 a.m.
NEDg Description generation batch_69ffe517c8f081908a1275d0adf3053d completed May 10, 2026, 1:53 a.m.
NED2 Entity disambiguation (via description) batch_69ffe572be388190bb492b6f554ec808 completed May 10, 2026, 1:54 a.m.
Created at: April 10, 2026, 4:55 a.m.