Triple

T21456749
Position Surface form Disambiguated ID Type / Status
Subject Dranske E529360 entity
Predicate mayor P185 FINISHED
Object Nico Schuster
Nico Schuster is a German local politician who serves as the mayor of the municipality of Dranske.
E1485379 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: Nico Schuster | Statement: [Dranske, mayor, Nico Schuster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nico Schuster
Context triple: [Dranske, mayor, Nico Schuster]
  • A. Niko Sünderhauf
    Niko Sünderhauf is a robotics and computer vision researcher known for his work on autonomous systems, perception, and mapping.
  • B. Nico Diederichs
    Nico Diederichs was a South African National Party politician who served as the country’s State President from 1975 to 1978.
  • C. Christian Baute
    Christian Baute is a film producer known for his work on the psychological thriller "Funny Games U.S."
  • D. Oliver Borchert
    Oliver Borchert is a German local politician who serves as the mayor of the municipality of Wandlitz in Brandenburg.
  • E. Blake Schilb
    Blake Schilb is an American-born professional basketball player, naturalized Czech, known for his versatile wing play in European leagues and appearances with the Czech national team.
  • 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: Nico Schuster
Triple: [Dranske, mayor, Nico Schuster]
Generated description
Nico Schuster is a German local politician who serves as the mayor of the municipality of Dranske.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nico Schuster
Target entity description: Nico Schuster is a German local politician who serves as the mayor of the municipality of Dranske.
  • A. Niko Sünderhauf
    Niko Sünderhauf is a robotics and computer vision researcher known for his work on autonomous systems, perception, and mapping.
  • B. Nico Diederichs
    Nico Diederichs was a South African National Party politician who served as the country’s State President from 1975 to 1978.
  • C. Christian Baute
    Christian Baute is a film producer known for his work on the psychological thriller "Funny Games U.S."
  • D. Oliver Borchert
    Oliver Borchert is a German local politician who serves as the mayor of the municipality of Wandlitz in Brandenburg.
  • E. Blake Schilb
    Blake Schilb is an American-born professional basketball player, naturalized Czech, known for his versatile wing play in European leagues and appearances with the Czech national team.
  • 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_69e0c458133481908ae8b41a12c4edec completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d7af248190a3bc06a390f390bf completed April 23, 2026, 9:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09c90ebd488190ab2ee8f8af98d1ae completed May 17, 2026, 1:56 p.m.
NEDg Description generation batch_6a09c9a6b84881908f9193b89ded7361 completed May 17, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_6a09caa391588190808eb3dcaff07803 completed May 17, 2026, 2:03 p.m.
Created at: April 16, 2026, 6:08 p.m.