Triple

T3622909
Position Surface form Disambiguated ID Type / Status
Subject Helmut E76767 entity
Predicate hasVariant P455 FINISHED
Object Hellmut
Hellmut is a masculine given name of German origin, used as a variant spelling of Helmut.
 E373735 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: Hellmut | Statement: [Helmut, hasVariant, Hellmut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hellmut
Context triple: [Helmut, hasVariant, Hellmut]
  • A. Wuppermann
    Wuppermann is the original German family name of American actor and musician Frank Morgan.
  • B. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • C. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • D. Willahelm
    Willahelm is a Germanic given name that is the historical root of names like Willem and William, traditionally meaning "resolute protector."
  • E. Schmendiman
    Schmendiman is a comically overconfident, dim-witted inventor in Steve Martin’s play "Picasso at the Lapin Agile," representing misguided modern ambition.
  • 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: Hellmut
Triple: [Helmut, hasVariant, Hellmut]
Generated description
Hellmut is a masculine given name of German origin, used as a variant spelling of Helmut.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hellmut
Target entity description: Hellmut is a masculine given name of German origin, used as a variant spelling of Helmut.
  • A. Wuppermann
    Wuppermann is the original German family name of American actor and musician Frank Morgan.
  • B. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • C. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • D. Willahelm
    Willahelm is a Germanic given name that is the historical root of names like Willem and William, traditionally meaning "resolute protector."
  • E. Schmendiman
    Schmendiman is a comically overconfident, dim-witted inventor in Steve Martin’s play "Picasso at the Lapin Agile," representing misguided modern ambition.
  • 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_69ad85dae2fc81908d1ceadbc6af0089 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2bc79008190abe6900adcbda8de completed March 8, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b43320955c8190910c0f15c80f41f4 completed March 13, 2026, 3:54 p.m.
NEDg Description generation batch_69b43705642881909c62b7363a4f3a12 completed March 13, 2026, 4:10 p.m.
NED2 Entity disambiguation (via description) batch_69b4379cd04c81909246747bcc357261 completed March 13, 2026, 4:13 p.m.
Created at: March 8, 2026, 3:23 p.m.