Triple

T12293705
Position Surface form Disambiguated ID Type / Status
Subject Hermann Matern E293030 entity
Predicate familyName P18 FINISHED
Object Matern
Matern is a German surname most notably associated with Hermann Matern, a prominent East German communist politician.
 E975265 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: Matern | Statement: [Hermann Matern, familyName, Matern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matern
Context triple: [Hermann Matern, familyName, Matern]
  • A. Materna
    Materna is the hymn tune composed by Samuel A. Ward that became widely known as the melody for the patriotic song "America the Beautiful."
  • B. Mommens
    Mommens is a surname most notably associated with Ursula Mommens, a distinguished British studio potter and ceramic artist.
  • C. Maddalene
    Maddalene is a feminine given name, typically considered a variant of Maddalena or Magdalene, with roots in Christian and European naming traditions.
  • D. Mattea
    Mattea is a feminine given name of Italian origin, often interpreted to mean "gift of God" as a variant of Matteo/Matthew.
  • E. Maren
    Maren is a feminine given name of Scandinavian origin, commonly used in Norway and Denmark.
  • 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: Matern
Triple: [Hermann Matern, familyName, Matern]
Generated description
Matern is a German surname most notably associated with Hermann Matern, a prominent East German communist politician.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matern
Target entity description: Matern is a German surname most notably associated with Hermann Matern, a prominent East German communist politician.
  • A. Materna
    Materna is the hymn tune composed by Samuel A. Ward that became widely known as the melody for the patriotic song "America the Beautiful."
  • B. Mommens
    Mommens is a surname most notably associated with Ursula Mommens, a distinguished British studio potter and ceramic artist.
  • C. Maddalene
    Maddalene is a feminine given name, typically considered a variant of Maddalena or Magdalene, with roots in Christian and European naming traditions.
  • D. Mattea
    Mattea is a feminine given name of Italian origin, often interpreted to mean "gift of God" as a variant of Matteo/Matthew.
  • E. Maren
    Maren is a feminine given name of Scandinavian origin, commonly used in Norway and Denmark.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91d23def88190adbaa282dd03d6c6 completed April 10, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e79bf548190bf7f314222ed1ed1 completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f62260d6708190808e52935a27e2c1 completed May 2, 2026, 4:12 p.m.
NED2 Entity disambiguation (via description) batch_69f6230f4c8081908a759efa43b4800b completed May 2, 2026, 4:15 p.m.
Created at: April 8, 2026, 9:52 p.m.