Triple

T3384642
Position Surface form Disambiguated ID Type / Status
Subject Wiesner E71266 entity
Predicate hasVariantSpelling P457 FINISHED
Object Wiesener
Wiesener is a surname, likely of German origin, that serves as a variant spelling of the name Wiesner.
 E359030 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: Wiesener | Statement: [Wiesner, hasVariantSpelling, Wiesener]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wiesener
Context triple: [Wiesner, hasVariantSpelling, Wiesener]
  • A. Währing
    Währing is a residential district in Vienna, Austria, known for its historic cemeteries, green spaces, and late 19th-century urban architecture.
  • B. Rohrau
    Rohrau is a small Austrian village in Lower Austria best known as the birthplace of composer Joseph Haydn.
  • C. Weisselberg
    Weisselberg is a surname most prominently associated with Allen Weisselberg, the longtime chief financial officer of the Trump Organization.
  • D. Traun
    Traun is a town in the Austrian state of Upper Austria, located near Linz along the Traun River and known as a residential and industrial suburb of the regional capital.
  • E. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • 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: Wiesener
Triple: [Wiesner, hasVariantSpelling, Wiesener]
Generated description
Wiesener is a surname, likely of German origin, that serves as a variant spelling of the name Wiesner.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wiesener
Target entity description: Wiesener is a surname, likely of German origin, that serves as a variant spelling of the name Wiesner.
  • A. Währing
    Währing is a residential district in Vienna, Austria, known for its historic cemeteries, green spaces, and late 19th-century urban architecture.
  • B. Rohrau
    Rohrau is a small Austrian village in Lower Austria best known as the birthplace of composer Joseph Haydn.
  • C. Weisselberg
    Weisselberg is a surname most prominently associated with Allen Weisselberg, the longtime chief financial officer of the Trump Organization.
  • D. Traun
    Traun is a town in the Austrian state of Upper Austria, located near Linz along the Traun River and known as a residential and industrial suburb of the regional capital.
  • E. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • 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_69ad85a8fd9c819095ecedf838d2bf1b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb5ee5e188190912dcea494a12038 completed March 8, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360aded3c8190ab4ca37b4aead1df completed March 13, 2026, 12:56 a.m.
NEDg Description generation batch_69b361b5aab88190be74127a8cc055af completed March 13, 2026, 1 a.m.
NED2 Entity disambiguation (via description) batch_69b36264b39481909e8255c3af92c977 completed March 13, 2026, 1:03 a.m.
Created at: March 8, 2026, 3:14 p.m.