Triple

T34523813
Position Surface form Disambiguated ID Type / Status
Subject Gereformeerde Kerken in Nederland E886346 entity
Predicate hadTheologian P23020 FINISHED
Object Hendrikus Berkhof
Hendrikus Berkhof was a prominent Dutch Reformed theologian known for his influential work in systematic theology and ecumenical dialogue in the 20th century.
E2104680 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: Hendrikus Berkhof | Statement: [Gereformeerde Kerken in Nederland, hadTheologian, Hendrikus Berkhof]
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: Hendrikus Berkhof
Triple: [Gereformeerde Kerken in Nederland, hadTheologian, Hendrikus Berkhof]
Generated description
Hendrikus Berkhof was a prominent Dutch Reformed theologian known for his influential work in systematic theology and ecumenical dialogue in the 20th century.

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_69f349cd7c148190aa99192b126d1527 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f72158f7c081909aed6ea12089998c completed May 3, 2026, 10:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3740fb377881908b10da9dd800dc93 completed June 21, 2026, 1:40 a.m.
NEDg Description generation batch_6a3741a10b488190a59ffb0888878bd8 completed June 21, 2026, 1:42 a.m.
NED2 Entity disambiguation (via description) batch_6a374329be488190bffd50363cf3b8f0 completed June 21, 2026, 1:49 a.m.
Created at: May 1, 2026, 2:02 a.m.