Triple

T34952108
Position Surface form Disambiguated ID Type / Status
Subject Henry of Carinthia E1008027 entity
Predicate spouse P13 FINISHED
Object Adelaide of Brunswick-Lüneburg
Adelaide of Brunswick-Lüneburg was a medieval German noblewoman and duchess, a member of the House of Welf who became queen consort of Germany and Bohemia through her marriage into Central European royalty.
E2297621 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: Adelaide of Brunswick-Lüneburg | Statement: [Henry of Carinthia, spouse, Adelaide of Brunswick-Lüneburg]
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: Adelaide of Brunswick-Lüneburg
Triple: [Henry of Carinthia, spouse, Adelaide of Brunswick-Lüneburg]
Generated description
Adelaide of Brunswick-Lüneburg was a medieval German noblewoman and duchess, a member of the House of Welf who became queen consort of Germany and Bohemia through her marriage into Central European royalty.

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_69f76dc5d4308190b77553ee07b1ede6 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f782cea4c881908ada116c80eafa15 completed May 3, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a83b67a430081908e9f4e381cb7e09f completed Aug. 18, 2026, 1:33 a.m.
NEDg Description generation batch_6a83b6c8ce0c8190a07c4afe84625629 completed Aug. 18, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_6a83b7569a5c81908eb5aac9653e3e88 completed Aug. 18, 2026, 1:37 a.m.
Created at: May 3, 2026, 4 p.m.