Triple

T27400486
Position Surface form Disambiguated ID Type / Status
Subject Kunigunde of Austria E691820 entity
Predicate child P120 FINISHED
Object Louis X, Duke of Bavaria
Louis X, Duke of Bavaria was a 15th–16th century Bavarian nobleman from the House of Wittelsbach who ruled parts of Bavaria and was known for his role in the internal partitions and governance of the duchy.
E1838985 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: Louis X, Duke of Bavaria | Statement: [Kunigunde of Austria, child, Louis X, Duke of Bavaria]
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: Louis X, Duke of Bavaria
Triple: [Kunigunde of Austria, child, Louis X, Duke of Bavaria]
Generated description
Louis X, Duke of Bavaria was a 15th–16th century Bavarian nobleman from the House of Wittelsbach who ruled parts of Bavaria and was known for his role in the internal partitions and governance of the duchy.

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_69ef5204f7048190bf226a129858fc5b completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62cb371208190b672952c7b7fb605 completed May 2, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24d3d3612c81908118e23773452dac completed June 7, 2026, 2:13 a.m.
NEDg Description generation batch_6a24d87ec4188190bc02ab3dc7703d53 completed June 7, 2026, 2:33 a.m.
NED2 Entity disambiguation (via description) batch_6a24dc4d0e24819096fe1d44c1e72446 completed June 7, 2026, 2:49 a.m.
Created at: April 27, 2026, 12:29 p.m.