Triple

T16187284
Position Surface form Disambiguated ID Type / Status
Subject Kenny Ploen E392839 entity
Predicate familyName P18 FINISHED
Object Ploen
Ploen is the surname of Kenny Ploen, a notable Canadian Football League quarterback best known for his career with the Winnipeg Blue Bombers.
 E1199454 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: Ploen | Statement: [Kenny Ploen, familyName, Ploen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ploen
Context triple: [Kenny Ploen, familyName, Ploen]
  • A. Plön
    Plön is a small lakeside town in northern Germany known for its historic castle and scenic location in the Holstein Switzerland region.
  • B. La Hague
    La Hague is a coastal commune in northwestern France known for its rugged cliffs, scenic landscapes, and proximity to major nuclear reprocessing facilities.
  • C. Grenaa
    Grenaa is a coastal town in eastern Jutland, Denmark, known for its ferry connections to the island of Anholt and its role as a regional commercial and educational center.
  • D. Bruntinge
    Bruntinge is a small village located in the municipality of Midden-Drenthe in the Dutch province of Drenthe.
  • E. Skanderborg
    Skanderborg is a Danish town in Jutland known for its lakeside setting and annual music festival, Smukfest.
  • 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: Ploen
Triple: [Kenny Ploen, familyName, Ploen]
Generated description
Ploen is the surname of Kenny Ploen, a notable Canadian Football League quarterback best known for his career with the Winnipeg Blue Bombers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ploen
Target entity description: Ploen is the surname of Kenny Ploen, a notable Canadian Football League quarterback best known for his career with the Winnipeg Blue Bombers.
  • A. Plön
    Plön is a small lakeside town in northern Germany known for its historic castle and scenic location in the Holstein Switzerland region.
  • B. La Hague
    La Hague is a coastal commune in northwestern France known for its rugged cliffs, scenic landscapes, and proximity to major nuclear reprocessing facilities.
  • C. Grenaa
    Grenaa is a coastal town in eastern Jutland, Denmark, known for its ferry connections to the island of Anholt and its role as a regional commercial and educational center.
  • D. Bruntinge
    Bruntinge is a small village located in the municipality of Midden-Drenthe in the Dutch province of Drenthe.
  • E. Skanderborg
    Skanderborg is a Danish town in Jutland known for its lakeside setting and annual music festival, Smukfest.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e220630db481908a0c7f7170f20c5f completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffff0750f08190a2fce65124d8dcc0 completed May 10, 2026, 3:44 a.m.
NEDg Description generation batch_6a000096f344819094fca24a342984e1 completed May 10, 2026, 3:50 a.m.
NED2 Entity disambiguation (via description) batch_6a00012ec15c8190a09e1b37bc560f67 completed May 10, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:02 a.m.