Triple

T31391126
Position Surface form Disambiguated ID Type / Status
Subject Archbishop of Magdeburg E800733 entity
Predicate positionHeldBy P8 FINISHED
Object Albrecht II of Brandenburg
Albrecht II of Brandenburg was a medieval German nobleman of the House of Ascania who became a prominent ecclesiastical prince as Archbishop of Magdeburg.
E1978825 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: Albrecht II of Brandenburg | Statement: [Archbishop of Magdeburg, positionHeldBy, Albrecht II of Brandenburg]
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: Albrecht II of Brandenburg
Triple: [Archbishop of Magdeburg, positionHeldBy, Albrecht II of Brandenburg]
Generated description
Albrecht II of Brandenburg was a medieval German nobleman of the House of Ascania who became a prominent ecclesiastical prince as Archbishop of Magdeburg.

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_69f224e9d7048190b0cc20f9071bd3e4 completed April 29, 2026, 3:34 p.m.
NER Named-entity recognition batch_69f6a02d39248190b4da16c1005b69c5 completed May 3, 2026, 1:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2d9d317db08190b0787d8f416963af completed June 13, 2026, 6:10 p.m.
NEDg Description generation batch_6a2da12dbef48190831aab3e103444e7 completed June 13, 2026, 6:27 p.m.
NED2 Entity disambiguation (via description) batch_6a2dfbfc341881908d64ee9919122d25 completed June 14, 2026, 12:55 a.m.
Created at: April 29, 2026, 9:19 p.m.