Triple

T22307516
Position Surface form Disambiguated ID Type / Status
Subject Rudolf Veiel E551419 entity
Predicate familyName P18 FINISHED
Object Veiel
Veiel is a German surname most notably associated with individuals such as filmmaker and author Andres Veiel.
E1529193 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: Veiel | Statement: [Rudolf Veiel, familyName, Veiel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veiel
Context triple: [Rudolf Veiel, familyName, Veiel]
  • A. Veele
    Veele is a small village in the municipality of Vlagtwedde in the province of Groningen in the Netherlands.
  • B. Vaise
    Vaise is a neighborhood in the 9th arrondissement of Lyon, France, known as a residential and commercial area connected to the city center by Lyon Metro line D.
  • C. Velkua
    Velkua is a former island municipality in southwestern Finland known for its coastal archipelago landscape in the Baltic Sea.
  • D. Smedvig
    Smedvig is a Norwegian family name most prominently associated with the Smedvig shipping and oil services business dynasty.
  • E. Dainava
    Dainava is a historical region in the territory of present-day Lithuania and northeastern Poland, traditionally associated with the Baltic Yotvingian and Lithuanian tribes.
  • 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: Veiel
Triple: [Rudolf Veiel, familyName, Veiel]
Generated description
Veiel is a German surname most notably associated with individuals such as filmmaker and author Andres Veiel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Veiel
Target entity description: Veiel is a German surname most notably associated with individuals such as filmmaker and author Andres Veiel.
  • A. Veele
    Veele is a small village in the municipality of Vlagtwedde in the province of Groningen in the Netherlands.
  • B. Vaise
    Vaise is a neighborhood in the 9th arrondissement of Lyon, France, known as a residential and commercial area connected to the city center by Lyon Metro line D.
  • C. Velkua
    Velkua is a former island municipality in southwestern Finland known for its coastal archipelago landscape in the Baltic Sea.
  • D. Smedvig
    Smedvig is a Norwegian family name most prominently associated with the Smedvig shipping and oil services business dynasty.
  • E. Dainava
    Dainava is a historical region in the territory of present-day Lithuania and northeastern Poland, traditionally associated with the Baltic Yotvingian and Lithuanian tribes.
  • 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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1574bccb08190a6236dd14cf0fc5b completed April 29, 2026, 12:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0acca147108190a4a8114cc0900031 completed May 18, 2026, 8:24 a.m.
NEDg Description generation batch_6a0acd27623881909519e5625ea1bca0 completed May 18, 2026, 8:26 a.m.
NED2 Entity disambiguation (via description) batch_6a0acda36f548190acf16aff2a65a952 completed May 18, 2026, 8:28 a.m.
Created at: April 16, 2026, 8:41 p.m.