Triple

T19926252
Position Surface form Disambiguated ID Type / Status
Subject Bongeunsa Temple E478929 entity
Predicate founder P104 FINISHED
Object Monk Yeonhoe
Monk Yeonhoe was a prominent Korean Buddhist monk known for establishing the influential Bongeunsa Temple in Seoul.
E1404365 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: Monk Yeonhoe | Statement: [Bongeunsa Temple, founder, Monk Yeonhoe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monk Yeonhoe
Context triple: [Bongeunsa Temple, founder, Monk Yeonhoe]
  • A. Woncheuk
    Woncheuk was a 7th-century Korean Buddhist monk and scholar renowned for his influential commentaries on Yogācāra and Huayan doctrines in Tang China.
  • B. Yong-taek
    Yong-taek is a Korean masculine given name commonly used in South Korea.
  • C. Seobang Jeongto
    Seobang Jeongto is the Korean term for the Western Pure Land, the blissful Buddhist realm presided over by Amitābha Buddha where devotees aspire to be reborn.
  • D. Yong-gi
    Yong-gi is a Korean given name commonly used for males.
  • E. Byeong-cheol
    Byeong-cheol is a Korean masculine given name that can be written with various hanja characters, giving it different meanings.
  • 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: Monk Yeonhoe
Triple: [Bongeunsa Temple, founder, Monk Yeonhoe]
Generated description
Monk Yeonhoe was a prominent Korean Buddhist monk known for establishing the influential Bongeunsa Temple in Seoul.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Monk Yeonhoe
Target entity description: Monk Yeonhoe was a prominent Korean Buddhist monk known for establishing the influential Bongeunsa Temple in Seoul.
  • A. Woncheuk
    Woncheuk was a 7th-century Korean Buddhist monk and scholar renowned for his influential commentaries on Yogācāra and Huayan doctrines in Tang China.
  • B. Yong-taek
    Yong-taek is a Korean masculine given name commonly used in South Korea.
  • C. Seobang Jeongto
    Seobang Jeongto is the Korean term for the Western Pure Land, the blissful Buddhist realm presided over by Amitābha Buddha where devotees aspire to be reborn.
  • D. Yong-gi
    Yong-gi is a Korean given name commonly used for males.
  • E. Byeong-cheol
    Byeong-cheol is a Korean masculine given name that can be written with various hanja characters, giving it different meanings.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659ca52c881908dc8053bf61be4c4 completed April 20, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07fdc2ce74819084c08e9396bf0dd3 completed May 16, 2026, 5:16 a.m.
NEDg Description generation batch_6a07fe4573a48190919a59e466b34e35 completed May 16, 2026, 5:19 a.m.
NED2 Entity disambiguation (via description) batch_6a07fede18a08190a7a7a698d7598023 completed May 16, 2026, 5:21 a.m.
Created at: April 10, 2026, 1:53 p.m.