Triple

T19888336
Position Surface form Disambiguated ID Type / Status
Subject Lobegott Friedrich Constantin E477961 entity
Predicate hasGivenName P17 FINISHED
Object Lobegott
Lobegott is a German given name, historically used in compound names such as Lobegott Friedrich Constantin.
 E1400315 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: Lobegott | Statement: [Lobegott Friedrich Constantin, hasGivenName, Lobegott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lobegott
Context triple: [Lobegott Friedrich Constantin, hasGivenName, Lobegott]
  • A. Gerabronn
    Gerabronn is a small town in the German state of Baden-Württemberg, known as the birthplace of prominent Green politician and former foreign minister Joschka Fischer.
  • B. Godoberi
    Godoberi is a Northeast Caucasian language spoken by the Godoberi people in the Dagestan region of Russia.
  • C. Godigisel
    Godigisel was a late 4th–early 5th century king of the Vandals who led his people across the Rhine into Roman Gaul and was the father of the Vandal king Genseric.
  • D. Lohavan
    Lohavan is a sacred forest region within the Vraja Mandala pilgrimage area associated with the pastimes of Lord Krishna in Hindu tradition.
  • E. Gothardus
    Gothardus is a Latinized form of the name Gotthard, most commonly associated with Saint Gotthard of Hildesheim, an 11th-century German bishop and saint.
  • 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: Lobegott
Triple: [Lobegott Friedrich Constantin, hasGivenName, Lobegott]
Generated description
Lobegott is a German given name, historically used in compound names such as Lobegott Friedrich Constantin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lobegott
Target entity description: Lobegott is a German given name, historically used in compound names such as Lobegott Friedrich Constantin.
  • A. Gerabronn
    Gerabronn is a small town in the German state of Baden-Württemberg, known as the birthplace of prominent Green politician and former foreign minister Joschka Fischer.
  • B. Godoberi
    Godoberi is a Northeast Caucasian language spoken by the Godoberi people in the Dagestan region of Russia.
  • C. Godigisel
    Godigisel was a late 4th–early 5th century king of the Vandals who led his people across the Rhine into Roman Gaul and was the father of the Vandal king Genseric.
  • D. Lohavan
    Lohavan is a sacred forest region within the Vraja Mandala pilgrimage area associated with the pastimes of Lord Krishna in Hindu tradition.
  • E. Gothardus
    Gothardus is a Latinized form of the name Gotthard, most commonly associated with Saint Gotthard of Hildesheim, an 11th-century German bishop and saint.
  • 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6590c1b9c8190abbfaa04b80713b3 completed April 20, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07dbd16ff08190b03caa3b20478ef4 completed May 16, 2026, 2:52 a.m.
NEDg Description generation batch_6a07dd4080a48190adc444976042bfa8 completed May 16, 2026, 2:58 a.m.
NED2 Entity disambiguation (via description) batch_6a07de09b21c8190a9743ee145a3d9b7 completed May 16, 2026, 3:01 a.m.
Created at: April 10, 2026, 1:52 p.m.