Triple

T35617643
Position Surface form Disambiguated ID Type / Status
Subject King Chungjeong of Goryeo E1029217 entity
Predicate fullName P16 FINISHED
Object Wang Jeong
Wang Jeong, better known by his temple name King Chungjeong of Goryeo, was a 14th-century monarch of Korea’s Goryeo dynasty who ruled as a young king during a period of strong Mongol (Yuan) influence.
E2293081 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: Wang Jeong | Statement: [King Chungjeong of Goryeo, fullName, Wang Jeong]
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: Wang Jeong
Triple: [King Chungjeong of Goryeo, fullName, Wang Jeong]
Generated description
Wang Jeong, better known by his temple name King Chungjeong of Goryeo, was a 14th-century monarch of Korea’s Goryeo dynasty who ruled as a young king during a period of strong Mongol (Yuan) influence.

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_69f76e0709408190bbe322bf1707ef6b completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79eed47d88190b1f3b273072c4002 completed May 3, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7a63ef02e88190b6a1ba52661329b1 completed Aug. 10, 2026, 11:51 p.m.
NEDg Description generation batch_6a7a6442c9c08190aba9baed49f6ce39 completed Aug. 10, 2026, 11:52 p.m.
NED2 Entity disambiguation (via description) batch_6a7a647f00b88190af89bcffdb278516 completed Aug. 10, 2026, 11:53 p.m.
Created at: May 3, 2026, 4:05 p.m.