Triple

T7193052
Position Surface form Disambiguated ID Type / Status
Subject Breyer E167741 entity
Predicate hasVariant P455 FINISHED
Object Breier
Breier is a surname of German origin borne by various individuals across different fields.
E648357 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: Breier | Statement: [Breyer, hasVariant, Breier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Breier
Context triple: [Breyer, hasVariant, Breier]
  • A. Brenner
    Brenner is a surname of German origin borne by various notable individuals across fields such as science, politics, and the arts.
  • B. Weinert
    Weinert is a German-language surname borne by various notable individuals in fields such as the arts, sciences, and public life.
  • C. Seelbach
    Seelbach is a municipality in southwestern Germany’s Baden-Württemberg region, situated in the Ortenau district near the Black Forest.
  • D. Mieresch
    Mieresch is the German name for the Mureș River, a major river flowing through Romania and Hungary.
  • E. Zierer
    Zierer is a German amusement ride manufacturer known for producing family-friendly roller coasters and classic flat rides for theme parks worldwide.
  • 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: Breier
Triple: [Breyer, hasVariant, Breier]
Generated description
Breier is a surname of German origin borne by various individuals across different fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Breier
Target entity description: Breier is a surname of German origin borne by various individuals across different fields.
  • A. Brenner
    Brenner is a surname of German origin borne by various notable individuals across fields such as science, politics, and the arts.
  • B. Weinert
    Weinert is a German-language surname borne by various notable individuals in fields such as the arts, sciences, and public life.
  • C. Seelbach
    Seelbach is a municipality in southwestern Germany’s Baden-Württemberg region, situated in the Ortenau district near the Black Forest.
  • D. Mieresch
    Mieresch is the German name for the Mureș River, a major river flowing through Romania and Hungary.
  • E. Zierer
    Zierer is a German amusement ride manufacturer known for producing family-friendly roller coasters and classic flat rides for theme parks worldwide.
  • 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_69c6888b5248819090499a884ee3ec39 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e9036544819083c70a5d2135ba4b completed March 27, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf95a1a0819099d252f037c318c7 completed March 28, 2026, 11:46 a.m.
NEDg Description generation batch_69c7c071778881909a82eedf61cae22b completed March 28, 2026, 11:50 a.m.
NED2 Entity disambiguation (via description) batch_69c7c111e05c8190a9cfba3fca1f8198 completed March 28, 2026, 11:52 a.m.
Created at: March 27, 2026, 2:50 p.m.