Triple

T28423850
Position Surface form Disambiguated ID Type / Status
Subject Emperor Ping of Han E720018 entity
Predicate personalName P24312 FINISHED
Object Liu Kan
Liu Kan, better known by his temple name Emperor Ping of Han, was a child emperor of the Western Han dynasty whose short and largely controlled reign preceded the usurpation of the throne by Wang Mang.
E1882934 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: Liu Kan | Statement: [Emperor Ping of Han, personalName, Liu Kan]
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: Liu Kan
Triple: [Emperor Ping of Han, personalName, Liu Kan]
Generated description
Liu Kan, better known by his temple name Emperor Ping of Han, was a child emperor of the Western Han dynasty whose short and largely controlled reign preceded the usurpation of the throne by Wang Mang.

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_69eff6f1c5088190bc24bfbf92f9c017 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f64dfc22188190a71aa737d6320d61 completed May 2, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26c8c739c88190acd47864590c21a8 completed June 8, 2026, 1:51 p.m.
NEDg Description generation batch_6a26ccb652f88190afbb90efa738461a completed June 8, 2026, 2:07 p.m.
NED2 Entity disambiguation (via description) batch_6a26d3e868f4819090a42f2d5f948e73 completed June 8, 2026, 2:38 p.m.
Created at: April 28, 2026, 1:35 a.m.