Triple

T2060298
Position Surface form Disambiguated ID Type / Status
Subject Gerhard Richter E45773 entity
Predicate familyName P18 FINISHED
Object Richter
Richter is a common German surname borne by numerous notable individuals, including artists, scientists, and public figures.
 E228360 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: Richter | Statement: [Gerhard Richter, familyName, Richter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Richter
Context triple: [Gerhard Richter, familyName, Richter]
  • A. Rikter Bedan
    Rikter Bedan is a notable literary work by Bengali poet and revolutionary Kazi Nazrul Islam, reflecting his characteristic themes of rebellion and humanism.
  • B. Morgenstern
    Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
  • C. Riß
    The Riß is a river in the German state of Baden-Württemberg that flows through the Alb-Donau district before joining the Danube.
  • D. Eichig
    Eichig is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • E. Heinrich
    Heinrich is a masculine given name of German origin that has been borne by numerous historical figures, including nobility, scholars, and political leaders.
  • 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: Richter
Triple: [Gerhard Richter, familyName, Richter]
Generated description
Richter is a common German surname borne by numerous notable individuals, including artists, scientists, and public figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Richter
Target entity description: Richter is a common German surname borne by numerous notable individuals, including artists, scientists, and public figures.
  • A. Rikter Bedan
    Rikter Bedan is a notable literary work by Bengali poet and revolutionary Kazi Nazrul Islam, reflecting his characteristic themes of rebellion and humanism.
  • B. Morgenstern
    Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
  • C. Riß
    The Riß is a river in the German state of Baden-Württemberg that flows through the Alb-Donau district before joining the Danube.
  • D. Eichig
    Eichig is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • E. Heinrich
    Heinrich is a masculine given name of German origin that has been borne by numerous historical figures, including nobility, scholars, and political leaders.
  • 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_69a8891a19508190a12ef1e192308dcb completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9cfdac88190b8b7af1bfea6a78e completed March 7, 2026, 5:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2014da048190902b2a23574d34ef completed March 9, 2026, 1:19 a.m.
NEDg Description generation batch_69ae20dff3c48190943a913c63247537 completed March 9, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_69ae21465d048190a1ee3a52c96ee37d completed March 9, 2026, 1:24 a.m.
Created at: March 4, 2026, 7:40 p.m.