Triple

T2595012
Position Surface form Disambiguated ID Type / Status
Subject Ludwig E58207 entity
Predicate hasVariantForm P457 FINISHED
Object Ludvig
Ludvig is a given name, primarily used in Scandinavian countries, that is a variant spelling of Ludwig.
 E283887 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: Ludvig | Statement: [Ludwig, hasVariantForm, Ludvig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ludvig
Context triple: [Ludwig, hasVariantForm, Ludvig]
  • A. Gustaf
    Gustaf is the given name of Carl Gustaf Emil Mannerheim, the Finnish military leader and statesman who served as Commander-in-Chief during World War II and later as President of Finland.
  • B. Waldemar
    Waldemar is a masculine given name of Germanic origin, historically associated with Scandinavian and Central European nobility and notable figures.
  • C. Edvard
    Edvard is a given name, commonly used in Scandinavian and some European countries, that corresponds to the English name Edward.
  • D. Gustav
    Gustav is a masculine given name of German origin, borne by several notable historical figures including scientists, artists, and royalty.
  • E. Olof
    Olof is a Scandinavian male given name, particularly common in Sweden and Norway, derived from Old Norse and borne by various notable historical and cultural figures.
  • 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: Ludvig
Triple: [Ludwig, hasVariantForm, Ludvig]
Generated description
Ludvig is a given name, primarily used in Scandinavian countries, that is a variant spelling of Ludwig.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ludvig
Target entity description: Ludvig is a given name, primarily used in Scandinavian countries, that is a variant spelling of Ludwig.
  • A. Gustaf
    Gustaf is the given name of Carl Gustaf Emil Mannerheim, the Finnish military leader and statesman who served as Commander-in-Chief during World War II and later as President of Finland.
  • B. Waldemar
    Waldemar is a masculine given name of Germanic origin, historically associated with Scandinavian and Central European nobility and notable figures.
  • C. Edvard
    Edvard is a given name, commonly used in Scandinavian and some European countries, that corresponds to the English name Edward.
  • D. Gustav
    Gustav is a masculine given name of German origin, borne by several notable historical figures including scientists, artists, and royalty.
  • E. Olof
    Olof is a Scandinavian male given name, particularly common in Sweden and Norway, derived from Old Norse and borne by various notable historical and cultural figures.
  • 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_69ab4ac14040819098b13f4a27d5c8ff completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd42978f881909f217e7ec9ac3144 completed March 7, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69af907835188190914a241e8bdf0d4f completed March 10, 2026, 3:31 a.m.
NEDg Description generation batch_69af90f63dac8190b3282b5029d22fab completed March 10, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69af918e7b50819082f37f9cdb3271a2 completed March 10, 2026, 3:35 a.m.
Created at: March 6, 2026, 9:49 p.m.