Triple

T36813496
Position Surface form Disambiguated ID Type / Status
Subject Prince-Bishop of Wrocław E909659 entity
Predicate officeHolder P537 FINISHED
Object Emanuel von Schimonsky
Emanuel von Schimonsky was a 19th-century Roman Catholic prelate who served as Prince-Bishop of Wrocław, overseeing both the spiritual leadership and temporal administration of the diocese.
E2220908 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: Emanuel von Schimonsky | Statement: [Prince-Bishop of Wrocław, officeHolder, Emanuel von Schimonsky]
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: Emanuel von Schimonsky
Triple: [Prince-Bishop of Wrocław, officeHolder, Emanuel von Schimonsky]
Generated description
Emanuel von Schimonsky was a 19th-century Roman Catholic prelate who served as Prince-Bishop of Wrocław, overseeing both the spiritual leadership and temporal administration of the diocese.

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_69f76e7cbbf48190891227b14d041139 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7ca6ff9c4819093b5c3eb668ec7de completed May 3, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40510f9ec08190b5146958893ff426 completed June 27, 2026, 10:39 p.m.
NEDg Description generation batch_6a4051ded42c8190bf747ed5198d2d34 completed June 27, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_6a40537de5a0819080de0ad4b33343fa completed June 27, 2026, 10:49 p.m.
Created at: May 3, 2026, 4:13 p.m.