Triple

T4284627
Position Surface form Disambiguated ID Type / Status
Subject Bert Koenders E97236 entity
Predicate familyName P18 FINISHED
Object Koenders
Koenders is a Dutch surname most notably associated with Bert Koenders, a former Minister of Foreign Affairs of the Netherlands.
E426861 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: Koenders | Statement: [Bert Koenders, familyName, Koenders]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koenders
Context triple: [Bert Koenders, familyName, Koenders]
  • A. Koos
    Koos is the commonly used nickname of Koos de la Rey, a prominent Boer general and political figure from South African history.
  • B. Molenaar
    Molenaar is a Dutch occupational surname meaning "miller," referring to someone who operates or works at a mill.
  • C. Heinsohn
    Heinsohn is a surname most prominently associated with Tom Heinsohn, a Hall of Fame Boston Celtics player, coach, and broadcaster.
  • D. Zoutkamp
    Zoutkamp is a historic fishing village in the Dutch province of Groningen, known for its former role as a fortified harbor and its traditional maritime character.
  • E. Bowerman
    Bowerman is a surname most prominently associated with Bill Bowerman, the legendary American track coach and co-founder of Nike.
  • 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: Koenders
Triple: [Bert Koenders, familyName, Koenders]
Generated description
Koenders is a Dutch surname most notably associated with Bert Koenders, a former Minister of Foreign Affairs of the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Koenders
Target entity description: Koenders is a Dutch surname most notably associated with Bert Koenders, a former Minister of Foreign Affairs of the Netherlands.
  • A. Koos
    Koos is the commonly used nickname of Koos de la Rey, a prominent Boer general and political figure from South African history.
  • B. Molenaar
    Molenaar is a Dutch occupational surname meaning "miller," referring to someone who operates or works at a mill.
  • C. Heinsohn
    Heinsohn is a surname most prominently associated with Tom Heinsohn, a Hall of Fame Boston Celtics player, coach, and broadcaster.
  • D. Zoutkamp
    Zoutkamp is a historic fishing village in the Dutch province of Groningen, known for its former role as a fortified harbor and its traditional maritime character.
  • E. Bowerman
    Bowerman is a surname most prominently associated with Bill Bowerman, the legendary American track coach and co-founder of Nike.
  • 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_69b3454595848190a0e6bbb6a2bea040 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3503c062c81908f9a9eeab5381ec9 completed March 12, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7c2023c8190a2359f8cabcecd2c completed March 14, 2026, 7:32 p.m.
NEDg Description generation batch_69b5b94471588190a27e7df972f072b1 completed March 14, 2026, 7:38 p.m.
NED2 Entity disambiguation (via description) batch_69b5ba4262b481908378f7ebdc9a7c9c completed March 14, 2026, 7:42 p.m.
Created at: March 12, 2026, 11:07 p.m.