Triple

T16206818
Position Surface form Disambiguated ID Type / Status
Subject Emperor Kōnin E393348 entity
Predicate posthumousName P744 FINISHED
Object Kōnin
Kōnin was the 49th emperor of Japan, who reigned in the late 8th century and is known for helping stabilize the imperial court after a period of political turmoil.
 E1201312 NE FINISHED

How this triple was built (4 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: Kōnin | Statement: [Emperor Kōnin, posthumousName, Kōnin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kōnin
Context triple: [Emperor Kōnin, posthumousName, Kōnin]
  • A. Kiyosu
    Kiyosu is a city in central Japan known historically for Kiyosu Castle and its role as a political center during the Sengoku period.
  • B. Bunkyū
    Bunkyū was a Japanese era name of the late Edo period, spanning the early 1860s during the reign of Emperor Kōmei and marked by growing internal unrest and foreign pressure on Japan.
  • C. Nitchō
    Nitchō was a prominent early disciple and priest of the Japanese Buddhist reformer Nichiren, helping to spread and institutionalize Nichiren Buddhism in the 13th century.
  • D. Bun'ei
    Bun'ei was a Japanese era of the Kamakura period, notable for events such as the first Mongol invasion of Japan in 1274.
  • E. Soga
    Soga is a Bantu language spoken primarily in eastern Uganda by the Basoga people.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Kōnin
Triple: [Emperor Kōnin, posthumousName, Kōnin]
Generated description
Kōnin was the 49th emperor of Japan, who reigned in the late 8th century and is known for helping stabilize the imperial court after a period of political turmoil.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kōnin
Target entity description: Kōnin was the 49th emperor of Japan, who reigned in the late 8th century and is known for helping stabilize the imperial court after a period of political turmoil.
  • A. Kiyosu
    Kiyosu is a city in central Japan known historically for Kiyosu Castle and its role as a political center during the Sengoku period.
  • B. Bunkyū
    Bunkyū was a Japanese era name of the late Edo period, spanning the early 1860s during the reign of Emperor Kōmei and marked by growing internal unrest and foreign pressure on Japan.
  • C. Nitchō
    Nitchō was a prominent early disciple and priest of the Japanese Buddhist reformer Nichiren, helping to spread and institutionalize Nichiren Buddhism in the 13th century.
  • D. Bun'ei
    Bun'ei was a Japanese era of the Kamakura period, notable for events such as the first Mongol invasion of Japan in 1274.
  • E. Soga
    Soga is a Bantu language spoken primarily in eastern Uganda by the Basoga people.
  • F. None of above. chosen

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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e227101a3c819095ef40e50bf66433 completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00078fa2ac8190a0a2cf38bc41498d completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a000900bfbc8190b21eb513838759a9 completed May 10, 2026, 4:26 a.m.
NED2 Entity disambiguation (via description) batch_6a000a0fc93c819088d9233aaa5e2017 completed May 10, 2026, 4:31 a.m.
Created at: April 10, 2026, 5:03 a.m.