Triple

T27541265
Position Surface form Disambiguated ID Type / Status
Subject Qian Han E695240 entity
Predicate hasPart P35 FINISHED
Object Reign of Emperor Xuan of Han
The Reign of Emperor Xuan of Han was a stabilizing and restorative period of the Western Han dynasty marked by effective governance, economic recovery, and consolidation of imperial power after earlier political turmoil.
E1780248 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: Reign of Emperor Xuan of Han | Statement: [Qian Han, hasPart, Reign of Emperor Xuan of Han]
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: Reign of Emperor Xuan of Han
Triple: [Qian Han, hasPart, Reign of Emperor Xuan of Han]
Generated description
The Reign of Emperor Xuan of Han was a stabilizing and restorative period of the Western Han dynasty marked by effective governance, economic recovery, and consolidation of imperial power after earlier 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_69ef5386c3e08190bfe33aa326e1f72b completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f62f5ddd908190b8ea190346ea26f1 completed May 2, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12d0c8e8b08190b093ef27db69632f completed May 24, 2026, 10:19 a.m.
NEDg Description generation batch_6a12d169e8888190bf3c8e7f0718a3a5 completed May 24, 2026, 10:22 a.m.
NED2 Entity disambiguation (via description) batch_6a12d2747f6881909aa2a5b0c389a494 completed May 24, 2026, 10:27 a.m.
Created at: April 27, 2026, 1:31 p.m.