Triple

T10694651
Position Surface form Disambiguated ID Type / Status
Subject Waldemar E252102 entity
Predicate hasVariant P455 FINISHED
Object Woldemar
Woldemar is a masculine given name of Germanic origin, commonly considered a variant of Waldemar.
 E880668 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: Woldemar | Statement: [Waldemar, hasVariant, Woldemar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Woldemar
Context triple: [Waldemar, hasVariant, Woldemar]
  • A. Othmar
    Othmar is a masculine given name of Germanic origin, notably borne by the Swiss-American civil engineer Othmar Ammann.
  • B. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • C. Günther
    Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
  • D. Ludwig Jekels
    Ludwig Jekels was an Austrian physician and early psychoanalyst who was among the first followers of Sigmund Freud and a contributor to the development and spread of psychoanalytic theory.
  • E. Hermann
    Hermann is a German surname borne by various notable individuals across fields such as philosophy, science, and the arts.
  • 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: Woldemar
Triple: [Waldemar, hasVariant, Woldemar]
Generated description
Woldemar is a masculine given name of Germanic origin, commonly considered a variant of Waldemar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Woldemar
Target entity description: Woldemar is a masculine given name of Germanic origin, commonly considered a variant of Waldemar.
  • A. Othmar
    Othmar is a masculine given name of Germanic origin, notably borne by the Swiss-American civil engineer Othmar Ammann.
  • B. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • C. Günther
    Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
  • D. Ludwig Jekels
    Ludwig Jekels was an Austrian physician and early psychoanalyst who was among the first followers of Sigmund Freud and a contributor to the development and spread of psychoanalytic theory.
  • E. Hermann
    Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd39c3788190bb7cd0acf8b6efdd completed April 9, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998cfeb748190bfff06534d83cf97 completed April 11, 2026, 12:41 a.m.
NEDg Description generation batch_69d99e8534688190b312b737e0b9cd53 completed April 11, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_69dadcb861a08190bb9f64a91117f35d completed April 11, 2026, 11:43 p.m.
Created at: April 8, 2026, 9:11 p.m.