Triple

T31460611
Position Surface form Disambiguated ID Type / Status
Subject Auer E802580 entity
Predicate hasNotableBearer P458 FINISHED
Object Wolfgang Auer
Wolfgang Auer is a notable individual who shares the surname Auer and is recognized as a distinguished bearer of that name.
E2114971 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: Wolfgang Auer | Statement: [Auer, hasNotableBearer, Wolfgang Auer]
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: Wolfgang Auer
Triple: [Auer, hasNotableBearer, Wolfgang Auer]
Generated description
Wolfgang Auer is a notable individual who shares the surname Auer and is recognized as a distinguished bearer of that name.

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_69f348c678ac81908a2e950867619061 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a14b80748190848ebb7bdfcd4d64 completed May 3, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a37792448c88190ba18544f9ca011e3 completed June 21, 2026, 5:39 a.m.
NEDg Description generation batch_6a377a6cd7c48190aa8d76a19cd6ef4e completed June 21, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_6a377b124f288190a861cdacfbbc0b5d completed June 21, 2026, 5:48 a.m.
Created at: April 30, 2026, 9:19 p.m.