Triple

T12707370
Position Surface form Disambiguated ID Type / Status
Subject Walter Scheel E303622 entity
Predicate familyName P18 FINISHED
Object Scheel
Scheel is a German surname most notably associated with Walter Scheel, a former President of West Germany.
 E998605 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: Scheel | Statement: [Walter Scheel, familyName, Scheel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Scheel
Context triple: [Walter Scheel, familyName, Scheel]
  • A. Scheur
    Scheur is a distributary branch of the Rhine–Meuse river system in the Netherlands that serves as an important shipping route in the Port of Rotterdam area.
  • B. Trichardt
    Trichardt is a small town in Mpumalanga, South Africa, known for its close association with the nearby industrial and coal-mining hub of Secunda.
  • C. Suhre
    The Suhre is a river in Switzerland that flows through the cantons of Lucerne and Aargau before joining the Aare.
  • D. Scheut
    Scheut is a neighborhood in the Brussels municipality of Anderlecht, known historically for its religious institutions and urban residential character.
  • E. Seelenberg
    Seelenberg is a small village that forms one of the local subdivisions of the municipality of Schmitten in 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: Scheel
Triple: [Walter Scheel, familyName, Scheel]
Generated description
Scheel is a German surname most notably associated with Walter Scheel, a former President of West Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Scheel
Target entity description: Scheel is a German surname most notably associated with Walter Scheel, a former President of West Germany.
  • A. Scheur
    Scheur is a distributary branch of the Rhine–Meuse river system in the Netherlands that serves as an important shipping route in the Port of Rotterdam area.
  • B. Trichardt
    Trichardt is a small town in Mpumalanga, South Africa, known for its close association with the nearby industrial and coal-mining hub of Secunda.
  • C. Suhre
    The Suhre is a river in Switzerland that flows through the cantons of Lucerne and Aargau before joining the Aare.
  • D. Scheut
    Scheut is a neighborhood in the Brussels municipality of Anderlecht, known historically for its religious institutions and urban residential character.
  • E. Seelenberg
    Seelenberg is a small village that forms one of the local subdivisions of the municipality of Schmitten in 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9620663e881908d367170ed6d2c81 completed April 10, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671b648f48190a29924c484713fc7 completed May 2, 2026, 9:50 p.m.
NEDg Description generation batch_69f6738fb13881909be53b9bd9960944 completed May 2, 2026, 9:58 p.m.
NED2 Entity disambiguation (via description) batch_69f677cabbb48190b5a097af0237595c completed May 2, 2026, 10:16 p.m.
Created at: April 9, 2026, 5:23 p.m.