Triple

T29783442
Position Surface form Disambiguated ID Type / Status
Subject Emperor Xiaozong of Song E756190 entity
Predicate personalName P24312 FINISHED
Object Zhao Shen
Zhao Shen, better known as Emperor Xiaozong of Song, was a Southern Song dynasty emperor who reigned from 1162 to 1189 and worked to strengthen imperial authority and stabilize the realm after years of military and political turmoil.
E2036215 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: Zhao Shen | Statement: [Emperor Xiaozong of Song, personalName, Zhao Shen]
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: Zhao Shen
Triple: [Emperor Xiaozong of Song, personalName, Zhao Shen]
Generated description
Zhao Shen, better known as Emperor Xiaozong of Song, was a Southern Song dynasty emperor who reigned from 1162 to 1189 and worked to strengthen imperial authority and stabilize the realm after years of military and political turmoil.

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_69f22451fb748190bbdbab401280affb completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f674a897c88190a9e671b2a47b57bb completed May 2, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a34efef30408190a22ebbee8e61da34 completed June 19, 2026, 7:29 a.m.
NEDg Description generation batch_6a34f38f684c8190b78c6099ea7a6e1f completed June 19, 2026, 7:45 a.m.
NED2 Entity disambiguation (via description) batch_6a34f44bf06481909e8011dd816e6601 completed June 19, 2026, 7:48 a.m.
Created at: April 29, 2026, 5:07 p.m.