Triple

T21165610
Position Surface form Disambiguated ID Type / Status
Subject Clemens J. Setz E521552 entity
Predicate familyName P18 FINISHED
Object Setz
Setz is a surname most notably associated with Austrian writer and translator Clemens J. Setz.
 E1471102 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: Setz | Statement: [Clemens J. Setz, familyName, Setz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Setz
Context triple: [Clemens J. Setz, familyName, Setz]
  • A. Setten
    Setten is a lake in southeastern Norway known for its forested surroundings, islands, and recreational opportunities such as fishing and boating.
  • B. Bramsche
    Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
  • C. Eichigt
    Eichigt is a small municipality in the Vogtland region of Saxony, Germany, near the Czech border.
  • D. Scheel
    Scheel is a German surname most notably associated with Walter Scheel, a former President of West Germany.
  • E. Marheineke
    Marheineke is a German surname most notably associated with the 19th-century Protestant theologian Philipp Marheineke.
  • 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: Setz
Triple: [Clemens J. Setz, familyName, Setz]
Generated description
Setz is a surname most notably associated with Austrian writer and translator Clemens J. Setz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Setz
Target entity description: Setz is a surname most notably associated with Austrian writer and translator Clemens J. Setz.
  • A. Setten
    Setten is a lake in southeastern Norway known for its forested surroundings, islands, and recreational opportunities such as fishing and boating.
  • B. Bramsche
    Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
  • C. Eichigt
    Eichigt is a small municipality in the Vogtland region of Saxony, Germany, near the Czech border.
  • D. Scheel
    Scheel is a German surname most notably associated with Walter Scheel, a former President of West Germany.
  • E. Marheineke
    Marheineke is a German surname most notably associated with the 19th-century Protestant theologian Philipp Marheineke.
  • 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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7270efe3081908a50fc601c2f958c completed April 21, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09756daa488190a9d70f10e7f18b65 completed May 17, 2026, 7:59 a.m.
NEDg Description generation batch_6a0979844c9481908f432a81906f4658 completed May 17, 2026, 8:17 a.m.
NED2 Entity disambiguation (via description) batch_6a097a0884a481909190be5c03261b8b completed May 17, 2026, 8:19 a.m.
Created at: April 16, 2026, 2:59 p.m.