Triple

T35716025
Position Surface form Disambiguated ID Type / Status
Subject Guillaume Groen van Prinsterer E1032007 entity
Predicate familyName P18 FINISHED
Object Groen van Prinsterer
Groen van Prinsterer was a 19th-century Dutch historian, politician, and Christian thinker known as a key founder of the Anti-Revolutionary movement in the Netherlands.
E2159318 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: Groen van Prinsterer | Statement: [Guillaume Groen van Prinsterer, familyName, Groen van Prinsterer]
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: Groen van Prinsterer
Triple: [Guillaume Groen van Prinsterer, familyName, Groen van Prinsterer]
Generated description
Groen van Prinsterer was a 19th-century Dutch historian, politician, and Christian thinker known as a key founder of the Anti-Revolutionary movement in the Netherlands.

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_69f76e0df1d08190965b1c6dff94c391 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a0f8d45481908eaf09cb7682a0c2 completed May 3, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38a4d4365c8190a95590a9dfce92fd completed June 22, 2026, 2:58 a.m.
NEDg Description generation batch_6a38a57d5e2c81908a749015ac6fcd7f completed June 22, 2026, 3:01 a.m.
NED2 Entity disambiguation (via description) batch_6a38a5fa291c81909955855947ef19d5 completed June 22, 2026, 3:03 a.m.
Created at: May 3, 2026, 4:05 p.m.