Triple

T24152254
Position Surface form Disambiguated ID Type / Status
Subject Rudolph of France E598568 entity
Predicate name P16 FINISHED
Object Raoul of France
Raoul of France, more commonly known as Rudolph of France, was a 10th-century king of West Francia who ruled from 923 to 936 during the turbulent period following the decline of Carolingian power.
E598568 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: Raoul of France | Statement: [Rudolph of France, name, Raoul of France]
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: Raoul of France
Triple: [Rudolph of France, name, Raoul of France]
Generated description
Raoul of France, more commonly known as Rudolph of France, was a 10th-century king of West Francia who ruled from 923 to 936 during the turbulent period following the decline of Carolingian power.

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_69e288c9e488819093dd1acd91b08b8a completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1e0e1e5748190bcc6681d409dcc05 completed April 29, 2026, 10:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a101bcfee8c8190b4a6ef9298539dd4 completed May 22, 2026, 9:03 a.m.
NEDg Description generation batch_6a10230f60048190bdae9637694927dd completed May 22, 2026, 9:34 a.m.
NED2 Entity disambiguation (via description) batch_6a1026e660d4819087e86dc6603ab2e0 completed May 22, 2026, 9:50 a.m.
Created at: April 17, 2026, 11:30 p.m.