Triple

T26000805
Position Surface form Disambiguated ID Type / Status
Subject Clémentine of Orléans E646614 entity
Predicate child P120 FINISHED
Object Philippe, Duke of Saxony
Philippe, Duke of Saxony, was a 19th-century German prince of the House of Saxe-Coburg and Gotha who married French princess Clémentine of Orléans and became notable in European dynastic politics.
E1720295 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: Philippe, Duke of Saxony | Statement: [Clémentine of Orléans, child, Philippe, Duke of Saxony]
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: Philippe, Duke of Saxony
Triple: [Clémentine of Orléans, child, Philippe, Duke of Saxony]
Generated description
Philippe, Duke of Saxony, was a 19th-century German prince of the House of Saxe-Coburg and Gotha who married French princess Clémentine of Orléans and became notable in European dynastic politics.

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_69e77e88cb8481908da31d4a00661f55 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f605755bd48190a760f5301eafb3ae completed May 2, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a119a36b9a08190ac694b827ddf5949 completed May 23, 2026, 12:14 p.m.
NEDg Description generation batch_6a119b2be6d481909c7ab1a8ee3f20fe completed May 23, 2026, 12:18 p.m.
NED2 Entity disambiguation (via description) batch_6a119ba6270881908b5a151d25fb79d8 completed May 23, 2026, 12:20 p.m.
Created at: April 22, 2026, 8:58 a.m.