Triple

T35409901
Position Surface form Disambiguated ID Type / Status
Subject Bogislaw X, Duke of Pomerania E1023479 entity
Predicate successor P78 FINISHED
Object George I, Duke of Pomerania
George I, Duke of Pomerania was a 16th-century ruler of the Duchy of Pomerania who governed parts of the region during the time of the Reformation and the Holy Roman Empire.
E2145217 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: George I, Duke of Pomerania | Statement: [Bogislaw X, Duke of Pomerania, successor, George I, Duke of Pomerania]
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: George I, Duke of Pomerania
Triple: [Bogislaw X, Duke of Pomerania, successor, George I, Duke of Pomerania]
Generated description
George I, Duke of Pomerania was a 16th-century ruler of the Duchy of Pomerania who governed parts of the region during the time of the Reformation and 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_69f76df54bac8190bd0d3b0eb35cda5f completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79566565481908a91b42189084c0c completed May 3, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3852d85e2c8190a85921c202cab4cd completed June 21, 2026, 9:08 p.m.
NEDg Description generation batch_6a385346d6448190bb9c51d193dc8ba1 completed June 21, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_6a3854314cc4819084070411b245f8cc completed June 21, 2026, 9:14 p.m.
Created at: May 3, 2026, 4:03 p.m.