Triple

T16552746
Position Surface form Disambiguated ID Type / Status
Subject Albertus Perk E402113 entity
Predicate familyName P18 FINISHED
Object Perk
Perk is a Dutch surname associated with several notable figures, including politicians and writers, in the Netherlands.
E1220500 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: Perk | Statement: [Albertus Perk, familyName, Perk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perk
Context triple: [Albertus Perk, familyName, Perk]
  • A. Perk
    Perk is a village in the Flemish Brabant province of Belgium, known as a rural sub-municipality of Steenokkerzeel.
  • B. Perks Rewards
    Perks Rewards is a membership tier offered by BJ's Wholesale Club that provides members with enhanced benefits and savings on their purchases.
  • C. Power-Ups
    Power-Ups are Trello add-ons that extend a board’s core functionality with integrations, custom views, and advanced features.
  • D. Perka
    Perka is a small settlement located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
  • E. Permet
    Permet is a small town in southern Albania known for its scenic location along the Vjosa River, thermal springs, and surrounding mountainous landscapes.
  • 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: Perk
Triple: [Albertus Perk, familyName, Perk]
Generated description
Perk is a Dutch surname associated with several notable figures, including politicians and writers, in the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Perk
Target entity description: Perk is a Dutch surname associated with several notable figures, including politicians and writers, in the Netherlands.
  • A. Perk
    Perk is a village in the Flemish Brabant province of Belgium, known as a rural sub-municipality of Steenokkerzeel.
  • B. Perks Rewards
    Perks Rewards is a membership tier offered by BJ's Wholesale Club that provides members with enhanced benefits and savings on their purchases.
  • C. Power-Ups
    Power-Ups are Trello add-ons that extend a board’s core functionality with integrations, custom views, and advanced features.
  • D. Perka
    Perka is a small settlement located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
  • E. Permet
    Permet is a small town in southern Albania known for its scenic location along the Vjosa River, thermal springs, and surrounding mountainous landscapes.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34fc6735481908b59bbf80fb3469b completed April 18, 2026, 9:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067b87b608190950b8f14e6aceed3 completed May 10, 2026, 11:10 a.m.
NEDg Description generation batch_6a00686f87408190b7d8a41cd54735d8 completed May 10, 2026, 11:13 a.m.
NED2 Entity disambiguation (via description) batch_6a006b6edd7081908730363b267253dd completed May 10, 2026, 11:26 a.m.
Created at: April 10, 2026, 5:15 a.m.