Triple

T21275845
Position Surface form Disambiguated ID Type / Status
Subject Otto van Veen E524385 entity
Predicate alternativeName P39 FINISHED
Object Otto Venius
Otto Venius was a Flemish painter and humanist of the late 16th and early 17th centuries, best known as a teacher and mentor of Peter Paul Rubens.
 E1475261 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: Otto Venius | Statement: [Otto van Veen, alternativeName, Otto Venius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Otto Venius
Context triple: [Otto van Veen, alternativeName, Otto Venius]
  • A. Josef Jennewein
    Josef Jennewein was a German World War II Luftwaffe fighter ace and former Olympic alpine skier.
  • B. Rudolf Havenstein
    Rudolf Havenstein was the president of Germany’s Reichsbank during the early Weimar Republic, best known for overseeing monetary policy during the hyperinflation crisis of the early 1920s.
  • C. Hans Klopek
    Hans Klopek is a mysterious and unsettling neighbor in the dark comedy film "The 'Burbs," suspected by the protagonists of hiding sinister secrets.
  • D. Ernst
    Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
  • E. Mr. Keuner
    Mr. Keuner is a philosophical everyman figure created by Bertolt Brecht, used in a series of parable-like stories to explore ethical, political, and existential questions.
  • 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: Otto Venius
Triple: [Otto van Veen, alternativeName, Otto Venius]
Generated description
Otto Venius was a Flemish painter and humanist of the late 16th and early 17th centuries, best known as a teacher and mentor of Peter Paul Rubens.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Otto Venius
Target entity description: Otto Venius was a Flemish painter and humanist of the late 16th and early 17th centuries, best known as a teacher and mentor of Peter Paul Rubens.
  • A. Josef Jennewein
    Josef Jennewein was a German World War II Luftwaffe fighter ace and former Olympic alpine skier.
  • B. Rudolf Havenstein
    Rudolf Havenstein was the president of Germany’s Reichsbank during the early Weimar Republic, best known for overseeing monetary policy during the hyperinflation crisis of the early 1920s.
  • C. Hans Klopek
    Hans Klopek is a mysterious and unsettling neighbor in the dark comedy film "The 'Burbs," suspected by the protagonists of hiding sinister secrets.
  • D. Ernst
    Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
  • E. Mr. Keuner
    Mr. Keuner is a philosophical everyman figure created by Bertolt Brecht, used in a series of parable-like stories to explore ethical, political, and existential questions.
  • 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_69e0b516293c819089458ea2ec85f85e completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736577fd48190a0038a6ac5678668 completed April 21, 2026, 8:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a099008c7788190a9b49d876eb02161 completed May 17, 2026, 9:53 a.m.
NEDg Description generation batch_6a0991a69afc8190bf48f6485998d442 completed May 17, 2026, 10 a.m.
NED2 Entity disambiguation (via description) batch_6a09922cc57c8190bbf6ce0916e43571 completed May 17, 2026, 10:02 a.m.
Created at: April 16, 2026, 4:02 p.m.