Triple

T28598907
Position Surface form Disambiguated ID Type / Status
Subject Dirk Kuyt E723850 entity
Predicate foundedOrganization P5194 FINISHED
Object Dirk Kuyt Foundation
The Dirk Kuyt Foundation is a charitable organization established by former Dutch footballer Dirk Kuyt that supports sports and recreational activities for people with disabilities.
E1825541 NE FINISHED

How this triple was built (2 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: Dirk Kuyt Foundation | Statement: [Dirk Kuyt, foundedOrganization, Dirk Kuyt Foundation]
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: Dirk Kuyt Foundation
Triple: [Dirk Kuyt, foundedOrganization, Dirk Kuyt Foundation]
Generated description
The Dirk Kuyt Foundation is a charitable organization established by former Dutch footballer Dirk Kuyt that supports sports and recreational activities for people with disabilities.

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_69f01d80b1908190980594837604b8c7 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69f651b970ec8190b42a0fe80841f1b7 completed May 2, 2026, 7:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1cb700e1d88190a1c6f6666b6e79ec completed May 31, 2026, 10:32 p.m.
NEDg Description generation batch_6a1cba3512c48190a428357ab312fde1 completed May 31, 2026, 10:46 p.m.
NED2 Entity disambiguation (via description) batch_6a1cbacbae2081909e0d7bd825a49306 completed May 31, 2026, 10:48 p.m.
Created at: April 28, 2026, 4:23 a.m.