Triple

T33375018
Position Surface form Disambiguated ID Type / Status
Subject Minister of State of the Netherlands E854601 entity
Predicate notableHolder P1918 FINISHED
Object Hans van den Broek
Hans van den Broek is a Dutch politician and diplomat best known for serving as European Commissioner for External Relations and playing a key role in European integration and foreign policy.
E2093348 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: Hans van den Broek | Statement: [Minister of State of the Netherlands, notableHolder, Hans van den Broek]
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: Hans van den Broek
Triple: [Minister of State of the Netherlands, notableHolder, Hans van den Broek]
Generated description
Hans van den Broek is a Dutch politician and diplomat best known for serving as European Commissioner for External Relations and playing a key role in European integration and foreign policy.

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_69f3496ca10c8190908640d18fa00832 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6dffd93288190b879b3c95ad06ddb completed May 3, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_6a37047ae40081908d4c7bcd95736508 completed June 20, 2026, 9:22 p.m.
NEDg Description generation batch_6a3705bde9b481909f9103999ccdb77a completed June 20, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_6a37063d3f7c819086265aac0a9862b6 completed June 20, 2026, 9:29 p.m.
Created at: May 1, 2026, 1:35 a.m.