Triple

T28885535
Position Surface form Disambiguated ID Type / Status
Subject von Euler E732548 entity
Predicate hasNotableBearer P458 FINISHED
Object Sven von Euler
Sven von Euler is a relatively obscure individual whose primary notability appears to stem from sharing the von Euler surname associated with a prominent Swedish scientific family.
E1849416 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: Sven von Euler | Statement: [von Euler, hasNotableBearer, Sven von Euler]
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: Sven von Euler
Triple: [von Euler, hasNotableBearer, Sven von Euler]
Generated description
Sven von Euler is a relatively obscure individual whose primary notability appears to stem from sharing the von Euler surname associated with a prominent Swedish scientific family.

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_69f05b07bdec819080cadfe147aa1f25 completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f65a718b288190bfcae9fddf71aced completed May 2, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a253790a3ac8190a7f627ebb6166ef9 completed June 7, 2026, 9:19 a.m.
NEDg Description generation batch_6a253b7b6e1081908bb2790e3effce40 completed June 7, 2026, 9:35 a.m.
NED2 Entity disambiguation (via description) batch_6a253f72bf4c8190846d42f2373f400f completed June 7, 2026, 9:52 a.m.
Created at: April 28, 2026, 7:49 a.m.