Triple

T18184989
Position Surface form Disambiguated ID Type / Status
Subject Grossman E435388 entity
Predicate hasVariantSpelling P457 FINISHED
Object Großmann
Großmann is a German surname, often spelled "Grossman" in English-speaking contexts.
E1311402 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: Großmann | Statement: [Grossman, hasVariantSpelling, Großmann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Großmann
Context triple: [Grossman, hasVariantSpelling, Großmann]
  • A. Gerhardt
    Gerhardt is a German-origin surname borne by various individuals and families, often associated with Central European heritage.
  • B. Karl Groß
    Karl Groß was an influential art educator and designer associated with early 20th-century German applied arts.
  • C. Gütermann
    Gütermann is a German surname most notably associated with the Gütermann family involved in industry and manufacturing, particularly in the production of sewing threads.
  • D. Gottsched
    Gottsched was an 18th-century German literary critic and reformer whose rationalist poetics and efforts to standardize the German language significantly shaped early German Enlightenment literature.
  • E. Meyer-Lübke
    Meyer-Lübke is the surname of Wilhelm Meyer-Lübke, a prominent Swiss linguist known for his influential work in Romance philology.
  • 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: Großmann
Triple: [Grossman, hasVariantSpelling, Großmann]
Generated description
Großmann is a German surname, often spelled "Grossman" in English-speaking contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Großmann
Target entity description: Großmann is a German surname, often spelled "Grossman" in English-speaking contexts.
  • A. Gerhardt
    Gerhardt is a German-origin surname borne by various individuals and families, often associated with Central European heritage.
  • B. Karl Groß
    Karl Groß was an influential art educator and designer associated with early 20th-century German applied arts.
  • C. Gütermann
    Gütermann is a German surname most notably associated with the Gütermann family involved in industry and manufacturing, particularly in the production of sewing threads.
  • D. Gottsched
    Gottsched was an 18th-century German literary critic and reformer whose rationalist poetics and efforts to standardize the German language significantly shaped early German Enlightenment literature.
  • E. Meyer-Lübke
    Meyer-Lübke is the surname of Wilhelm Meyer-Lübke, a prominent Swiss linguist known for his influential work in Romance philology.
  • 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dffdccd881908da772db78b9d081 completed April 19, 2026, 2 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0398032e3081909455845718c73b78 completed May 12, 2026, 9:13 p.m.
NEDg Description generation batch_6a03990a2bec8190b5d6a472bc9bb3fb completed May 12, 2026, 9:18 p.m.
NED2 Entity disambiguation (via description) batch_6a0399c98a88819090e579324d9423e5 completed May 12, 2026, 9:21 p.m.
Created at: April 10, 2026, 10:31 a.m.