Triple

T13815290
Position Surface form Disambiguated ID Type / Status
Subject Vilhelm E331997 entity
Predicate variantSpelling P457 FINISHED
Object Vilhelmi
Vilhelmi is a given name that serves as an alternative spelling of the name Vilhelm, itself a Scandinavian form of William.
 E1063758 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: Vilhelmi | Statement: [Vilhelm, variantSpelling, Vilhelmi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vilhelmi
Context triple: [Vilhelm, variantSpelling, Vilhelmi]
  • A. Edvarda
    Edvarda is a central fictional character in Knut Hamsun’s novel "Pan," known for her complex and tumultuous relationship with the protagonist.
  • B. Ludvika
    Ludvika is a small industrial town in central Sweden known for its engineering and manufacturing industries, particularly in the power and electrical sectors.
  • C. Henrike
    Henrike is a feminine given name of German origin, serving as the female form of Heinrich.
  • D. Viljo
    Viljo is a masculine given name of Finnish origin.
  • E. Ottla
    Ottla was the beloved younger sister of writer Franz Kafka, known from his diaries and letters for her close relationship with him and her tragic death in the Holocaust.
  • 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: Vilhelmi
Triple: [Vilhelm, variantSpelling, Vilhelmi]
Generated description
Vilhelmi is a given name that serves as an alternative spelling of the name Vilhelm, itself a Scandinavian form of William.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vilhelmi
Target entity description: Vilhelmi is a given name that serves as an alternative spelling of the name Vilhelm, itself a Scandinavian form of William.
  • A. Edvarda
    Edvarda is a central fictional character in Knut Hamsun’s novel "Pan," known for her complex and tumultuous relationship with the protagonist.
  • B. Ludvika
    Ludvika is a small industrial town in central Sweden known for its engineering and manufacturing industries, particularly in the power and electrical sectors.
  • C. Henrike
    Henrike is a feminine given name of German origin, serving as the female form of Heinrich.
  • D. Viljo
    Viljo is a masculine given name of Finnish origin.
  • E. Ottla
    Ottla was the beloved younger sister of writer Franz Kafka, known from his diaries and letters for her close relationship with him and her tragic death in the Holocaust.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02806e148190996f58934e66d7d8 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8e0112481909deb31f8614f8b93 completed May 3, 2026, 9:06 p.m.
NEDg Description generation batch_69f7b9d81f488190875e9b3f885556ab completed May 3, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_69f7ba9ba0988190800e685cff4c2186 completed May 3, 2026, 9:14 p.m.
Created at: April 9, 2026, 10:12 p.m.