Triple

T29592011
Position Surface form Disambiguated ID Type / Status
Subject Empress Sunjeonghyo E754190 entity
Predicate clan P1915 FINISHED
Object Haepyeong Yun clan
The Haepyeong Yun clan is a prominent Korean yangban family lineage historically noted for producing high-ranking officials and royalty, including Empress Sunjeonghyo of the Korean Empire.
E1880667 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: Haepyeong Yun clan | Statement: [Empress Sunjeonghyo, clan, Haepyeong Yun clan]
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: Haepyeong Yun clan
Triple: [Empress Sunjeonghyo, clan, Haepyeong Yun clan]
Generated description
The Haepyeong Yun clan is a prominent Korean yangban family lineage historically noted for producing high-ranking officials and royalty, including Empress Sunjeonghyo of the Korean Empire.

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_69f0ef836ac88190bd809dc58b5ec907 completed April 28, 2026, 5:33 p.m.
NER Named-entity recognition batch_69f66db3fdb481909b90ad0a24aaa005 completed May 2, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26aa5f7bf48190993131fee91191bf completed June 8, 2026, 11:41 a.m.
NEDg Description generation batch_6a26ae71575081908f792ba4e0bce3f2 completed June 8, 2026, 11:58 a.m.
NED2 Entity disambiguation (via description) batch_6a26b2549840819082678037e8c97eb2 completed June 8, 2026, 12:15 p.m.
Created at: April 28, 2026, 6:15 p.m.