Triple

T3844981
Position Surface form Disambiguated ID Type / Status
Subject Emperor Kanmu E93547 entity
Predicate birthName P65 FINISHED
Object Yamabe
Yamabe was the personal name of Emperor Kanmu, a powerful Japanese emperor of the late 8th and early 9th centuries who moved the capital to Heian-kyō (Kyoto).
 E394943 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: Yamabe | Statement: [Emperor Kanmu, birthName, Yamabe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yamabe
Context triple: [Emperor Kanmu, birthName, Yamabe]
  • A. Yasu
    Yasu is a Japanese city located in Shiga Prefecture, known for its blend of residential areas, local industry, and proximity to Lake Biwa.
  • B. Takanami
    Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
  • C. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • D. Fujinami
    Fujinami is a Japanese surname borne by various notable individuals, including professional athletes and entertainers.
  • E. Eishiro
    Eishiro is a Japanese given name that can be used for male individuals.
  • 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: Yamabe
Triple: [Emperor Kanmu, birthName, Yamabe]
Generated description
Yamabe was the personal name of Emperor Kanmu, a powerful Japanese emperor of the late 8th and early 9th centuries who moved the capital to Heian-kyō (Kyoto).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yamabe
Target entity description: Yamabe was the personal name of Emperor Kanmu, a powerful Japanese emperor of the late 8th and early 9th centuries who moved the capital to Heian-kyō (Kyoto).
  • A. Yasu
    Yasu is a Japanese city located in Shiga Prefecture, known for its blend of residential areas, local industry, and proximity to Lake Biwa.
  • B. Takanami
    Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
  • C. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • D. Fujinami
    Fujinami is a Japanese surname borne by various notable individuals, including professional athletes and entertainers.
  • E. Eishiro
    Eishiro is a Japanese given name that can be used for male individuals.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeebb655c081909ec5ff3d09eb4778 completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5122ba6a4819099986e50f42f2a92 completed March 14, 2026, 7:45 a.m.
NEDg Description generation batch_69b5129946508190860e12a8f90eb5ee completed March 14, 2026, 7:47 a.m.
NED2 Entity disambiguation (via description) batch_69b513481c308190849e66bbd9caf57c completed March 14, 2026, 7:50 a.m.
Created at: March 9, 2026, 3:18 p.m.