Triple

T19464182
Position Surface form Disambiguated ID Type / Status
Subject Frederick William, Duke of Nassau E486949 entity
Predicate child P120 FINISHED
Object Princess Luise of Nassau
Princess Luise of Nassau was a 19th-century German noblewoman from the House of Nassau, known as the daughter of Frederick William, Duke of Nassau.
E2133316 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: Princess Luise of Nassau | Statement: [Frederick William, Duke of Nassau, child, Princess Luise of Nassau]
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: Princess Luise of Nassau
Triple: [Frederick William, Duke of Nassau, child, Princess Luise of Nassau]
Generated description
Princess Luise of Nassau was a 19th-century German noblewoman from the House of Nassau, known as the daughter of Frederick William, Duke of Nassau.

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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633cf95988190b13b2153e67d0cac completed April 20, 2026, 2:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a380f7f9ebc8190a856e9b3052a7108 completed June 21, 2026, 4:21 p.m.
NEDg Description generation batch_6a38107dc6e481908b57199adbcc20a6 completed June 21, 2026, 4:25 p.m.
NED2 Entity disambiguation (via description) batch_6a3811e5b0d88190bc0f5cebe83b3768 completed June 21, 2026, 4:31 p.m.
Created at: April 10, 2026, 1:39 p.m.