Triple

T16073661
Position Surface form Disambiguated ID Type / Status
Subject Max Kampelman E389928 entity
Predicate familyName P18 FINISHED
Object Kampelman
Kampelman is a surname most notably associated with Max Kampelman, an American diplomat and negotiator involved in Cold War-era arms control talks.
E1192496 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: Kampelman | Statement: [Max Kampelman, familyName, Kampelman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kampelman
Context triple: [Max Kampelman, familyName, Kampelman]
  • A. Castrisch
    Castrisch is a village and former municipality in the canton of Graubünden in eastern Switzerland, known for its location in the Surselva region.
  • B. Jongerius
    Jongerius is a Dutch surname most notably associated with Hella Jongerius, a renowned contemporary industrial and product designer.
  • C. Dahlkemper
    Dahlkemper is a surname most prominently associated with American professional soccer player Abby Dahlkemper.
  • D. Bockelmann
    Bockelmann is the birth surname of Austrian-Swiss composer and singer Udo Jürgens.
  • E. Kolderbos
    Kolderbos is a residential district of the Belgian city of Genk, known for its post-war social housing and multicultural community.
  • 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: Kampelman
Triple: [Max Kampelman, familyName, Kampelman]
Generated description
Kampelman is a surname most notably associated with Max Kampelman, an American diplomat and negotiator involved in Cold War-era arms control talks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kampelman
Target entity description: Kampelman is a surname most notably associated with Max Kampelman, an American diplomat and negotiator involved in Cold War-era arms control talks.
  • A. Castrisch
    Castrisch is a village and former municipality in the canton of Graubünden in eastern Switzerland, known for its location in the Surselva region.
  • B. Jongerius
    Jongerius is a Dutch surname most notably associated with Hella Jongerius, a renowned contemporary industrial and product designer.
  • C. Dahlkemper
    Dahlkemper is a surname most prominently associated with American professional soccer player Abby Dahlkemper.
  • D. Bockelmann
    Bockelmann is the birth surname of Austrian-Swiss composer and singer Udo Jürgens.
  • E. Kolderbos
    Kolderbos is a residential district of the Belgian city of Genk, known for its post-war social housing and multicultural community.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183c0390c8190b0da263cccec14e5 completed April 17, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe484cef08190a3797c91a7025081 completed May 10, 2026, 1:51 a.m.
NEDg Description generation batch_69ffe67043588190864864d40956682b completed May 10, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_69ffe6f510cc8190b6b8c46c0356d36a completed May 10, 2026, 2:01 a.m.
Created at: April 10, 2026, 4:57 a.m.