Triple

T3782852
Position Surface form Disambiguated ID Type / Status
Subject Schmidt E85459 entity
Predicate hasNotableBearer P458 FINISHED
Object Hans Schmidt
Hans Schmidt is a common German personal name shared by numerous individuals across fields such as sports, politics, and the arts.
E727149 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: Hans Schmidt | Statement: [Schmidt, hasNotableBearer, Hans Schmidt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hans Schmidt
Context triple: [Schmidt, hasNotableBearer, Hans Schmidt]
  • A. Arthur Schmidt
    Arthur Schmidt is an American film editor best known for his Academy Award–winning work on major films such as "Forrest Gump" and "Who Framed Roger Rabbit."
  • B. Rudolf Schmidt
    Rudolf Schmidt was a German general in the Wehrmacht during World War II who rose to high command on the Eastern Front.
  • C. Hans Wiegel
    Hans Wiegel is a prominent Dutch liberal politician who served as leader of the VVD and as Deputy Prime Minister of the Netherlands in the late 20th century.
  • D. Armin Harry Schmidt
    Armin Harry Schmidt is a notable individual who is recognized as a prominent bearer of the surname Schmidt.
  • E. Thomas Schippers
    Thomas Schippers was an American conductor renowned for his dynamic interpretations of opera and orchestral repertoire, particularly in the mid-20th century.
  • 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: Hans Schmidt
Triple: [Schmidt, hasNotableBearer, Hans Schmidt]
Generated description
Hans Schmidt is a common German personal name shared by numerous individuals across fields such as sports, politics, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hans Schmidt
Target entity description: Hans Schmidt is a common German personal name shared by numerous individuals across fields such as sports, politics, and the arts.
  • A. Arthur Schmidt
    Arthur Schmidt is an American film editor best known for his Academy Award–winning work on major films such as "Forrest Gump" and "Who Framed Roger Rabbit."
  • B. Rudolf Schmidt
    Rudolf Schmidt was a German general in the Wehrmacht during World War II who rose to high command on the Eastern Front.
  • C. Hans Wiegel
    Hans Wiegel is a prominent Dutch liberal politician who served as leader of the VVD and as Deputy Prime Minister of the Netherlands in the late 20th century.
  • D. Armin Harry Schmidt
    Armin Harry Schmidt is a notable individual who is recognized as a prominent bearer of the surname Schmidt.
  • E. Thomas Schippers
    Thomas Schippers was an American conductor renowned for his dynamic interpretations of opera and orchestral repertoire, particularly in the mid-20th century.
  • 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_69aed937fa8881908208ef3801060826 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee3db11108190aa81ee8ed22709fe completed March 9, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cdc60b0ae48190bb6e6f38bcbb05dd completed April 2, 2026, 1:27 a.m.
NEDg Description generation batch_69cdcb8cbd3c8190b467ecbcf55231e9 completed April 2, 2026, 1:51 a.m.
NED2 Entity disambiguation (via description) batch_69cdccff097c819099a33612504468e1 completed April 2, 2026, 1:57 a.m.
Created at: March 9, 2026, 3:13 p.m.