Triple

T24500360
Position Surface form Disambiguated ID Type / Status
Subject von Galen family E617915 entity
Predicate hasNotableMember P304 FINISHED
Object Johann Matthias von Galen
Johann Matthias von Galen was a notable member of the aristocratic von Galen family, a prominent German noble lineage with historical influence in regional politics and society.
E1643523 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: Johann Matthias von Galen | Statement: [von Galen family, hasNotableMember, Johann Matthias von Galen]
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: Johann Matthias von Galen
Triple: [von Galen family, hasNotableMember, Johann Matthias von Galen]
Generated description
Johann Matthias von Galen was a notable member of the aristocratic von Galen family, a prominent German noble lineage with historical influence in regional politics and society.

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_69e2d7f682108190a1a7ca5fd485ee8a completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f2a800d9a88190b5970784a3f03ab8 completed April 30, 2026, 12:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10046b2b4c81909a9b23cb21210888 completed May 22, 2026, 7:23 a.m.
NEDg Description generation batch_6a10058109548190be272b118a847fb8 completed May 22, 2026, 7:28 a.m.
NED2 Entity disambiguation (via description) batch_6a1006162a308190a1c1ed715d0a6691 completed May 22, 2026, 7:30 a.m.
Created at: April 18, 2026, 2:23 a.m.