Triple

T24251695
Position Surface form Disambiguated ID Type / Status
Subject Jeroen van der Boom E603543 entity
Predicate familyName P18 FINISHED
Object van der Boom
Van der Boom is a Dutch surname most notably associated with singer and television presenter Jeroen van der Boom.
E1624851 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: van der Boom | Statement: [Jeroen van der Boom, familyName, van der Boom]
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: van der Boom
Triple: [Jeroen van der Boom, familyName, van der Boom]
Generated description
Van der Boom is a Dutch surname most notably associated with singer and television presenter Jeroen van der Boom.

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_69e29540da0481909a38bdae315b7a02 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f28b89eb8081909ccf37081add5cee completed April 29, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fbd39b8b881909a8623093e0464c0 completed May 22, 2026, 2:19 a.m.
NEDg Description generation batch_6a0fbf90cb488190acfdf236e2b28338 completed May 22, 2026, 2:29 a.m.
NED2 Entity disambiguation (via description) batch_6a0fc06a9f2481909c0e770b96664781 completed May 22, 2026, 2:33 a.m.
Created at: April 18, 2026, 12:05 a.m.