Triple

T31503757
Position Surface form Disambiguated ID Type / Status
Subject Prince-Bishop of Strasbourg E803758 entity
Predicate officeHolder P537 FINISHED
Object Johann von Dirpheim
Johann von Dirpheim was a medieval German cleric who served as Prince-Bishop of Strasbourg, wielding both ecclesiastical and secular authority in the Holy Roman Empire.
E1978788 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 von Dirpheim | Statement: [Prince-Bishop of Strasbourg, officeHolder, Johann von Dirpheim]
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 von Dirpheim
Triple: [Prince-Bishop of Strasbourg, officeHolder, Johann von Dirpheim]
Generated description
Johann von Dirpheim was a medieval German cleric who served as Prince-Bishop of Strasbourg, wielding both ecclesiastical and secular authority in the Holy Roman Empire.

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_69f348cae52081909fa8e5f697523ae3 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a214a24481908d30547f6d36aabe completed May 3, 2026, 1:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2d9d3598c48190879800dedc6f843f completed June 13, 2026, 6:11 p.m.
NEDg Description generation batch_6a2da3de320c81908b08438c76226569 completed June 13, 2026, 6:39 p.m.
NED2 Entity disambiguation (via description) batch_6a2da5584fcc8190859f3c0278975a9d completed June 13, 2026, 6:45 p.m.
Created at: April 30, 2026, 9:46 p.m.