Triple

T29123927
Position Surface form Disambiguated ID Type / Status
Subject Emperor Zhezong of Song E738168 entity
Predicate personalName P24312 FINISHED
Object Zhao Xu
Zhao Xu, better known by his temple name Emperor Zhezong of Song, was an emperor of the Northern Song dynasty who reigned in the late 11th century and oversaw significant political struggles between reformist and conservative factions at court.
E2020449 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 Xu | Statement: [Emperor Zhezong of Song, personalName, Zhao Xu]
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 Xu
Triple: [Emperor Zhezong of Song, personalName, Zhao Xu]
Generated description
Zhao Xu, better known by his temple name Emperor Zhezong of Song, was an emperor of the Northern Song dynasty who reigned in the late 11th century and oversaw significant political struggles between reformist and conservative factions at court.

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_69f07cb29cdc8190afa55444553de60c completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f6622808b48190bbabcc75288ab031 completed May 2, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a34a78132b08190ae997a74baffd39e completed June 19, 2026, 2:20 a.m.
NEDg Description generation batch_6a34a84e9e3881909614d79de44dd3cc completed June 19, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_6a34a8e08dc8819095892aefb102d650 completed June 19, 2026, 2:26 a.m.
Created at: April 28, 2026, 11:27 a.m.