Triple

T6157301
Position Surface form Disambiguated ID Type / Status
Subject Johann Brenz E137353 entity
Predicate familyName P18 FINISHED
Object Brenz
Brenz is a German surname most notably associated with the 16th-century Lutheran reformer Johann Brenz.
 E111222 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: Brenz | Statement: [Johann Brenz, familyName, Brenz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brenz
Context triple: [Johann Brenz, familyName, Brenz]
  • A. Brenz
    The Brenz is a river in southern Germany that flows through Baden-Württemberg and Bavaria before joining the Danube.
  • B. Brenner
    Brenner is a surname of German origin borne by various notable individuals across fields such as science, politics, and the arts.
  • C. Breng
    Breng is a Dutch public transport operator providing regional bus and train services in and around Arnhem and Nijmegen in the Netherlands.
  • D. Brennen
    Brennen is a given name, typically used as a variant spelling of Brennan.
  • E. Brupass
    Brupass is an integrated public transport ticketing system that allows seamless travel across multiple operators and modes within the Brussels metropolitan area.
  • 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: Brenz
Triple: [Johann Brenz, familyName, Brenz]
Generated description
Brenz is a German surname most notably associated with the 16th-century Lutheran reformer Johann Brenz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brenz
Target entity description: Brenz is a German surname most notably associated with the 16th-century Lutheran reformer Johann Brenz.
  • A. Brenz chosen
    The Brenz is a river in southern Germany that flows through Baden-Württemberg and Bavaria before joining the Danube.
  • B. Brenner
    Brenner is a surname of German origin borne by various notable individuals across fields such as science, politics, and the arts.
  • C. Breng
    Breng is a Dutch public transport operator providing regional bus and train services in and around Arnhem and Nijmegen in the Netherlands.
  • D. Brennen
    Brennen is a given name, typically used as a variant spelling of Brennan.
  • E. Brupass
    Brupass is an integrated public transport ticketing system that allows seamless travel across multiple operators and modes within the Brussels metropolitan area.
  • F. None of above.

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_69c008a45d008190832a9e19f5d63406 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d3177588190970a45af0d43b04c completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1418ba6488190aaf8d3070555d60a completed March 23, 2026, 1:35 p.m.
NEDg Description generation batch_69c147fd4e988190a21c17f96830dfb4 completed March 23, 2026, 2:02 p.m.
NED2 Entity disambiguation (via description) batch_69c1486382a8819098cee911eb1b7137 completed March 23, 2026, 2:04 p.m.
Created at: March 22, 2026, 4:17 p.m.