Triple

T20053032
Position Surface form Disambiguated ID Type / Status
Subject King Jinheung E499251 entity
Predicate eraName P2938 FINISHED
Object Jinheung
Jinheung is the era name associated with King Jinheung of Silla, under which his reign and its historical events are recorded.
E1411406 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: Jinheung | Statement: [King Jinheung, eraName, Jinheung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jinheung
Context triple: [King Jinheung, eraName, Jinheung]
  • A. Kyongwon
    Kyongwon is a county-level city in northeastern North Korea, located near the border with China in North Hamgyong Province.
  • B. Euisun
    Euisun is a Korean given name most notably borne by Euisun Chung, a prominent South Korean business executive and chairman of Hyundai Motor Group.
  • C. Koung-Khi
    Koung-Khi is an administrative department located in the West Region of Cameroon.
  • D. Kwangde
    Kwangde is a prominent Himalayan mountain massif in Nepal’s Khumbu region, known for its steep faces and challenging climbing routes.
  • E. Myeong-bok
    Myeong-bok is the given name of Gojong, the 26th king of the Joseon dynasty and first emperor of the Korean Empire.
  • 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: Jinheung
Triple: [King Jinheung, eraName, Jinheung]
Generated description
Jinheung is the era name associated with King Jinheung of Silla, under which his reign and its historical events are recorded.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jinheung
Target entity description: Jinheung is the era name associated with King Jinheung of Silla, under which his reign and its historical events are recorded.
  • A. Kyongwon
    Kyongwon is a county-level city in northeastern North Korea, located near the border with China in North Hamgyong Province.
  • B. Euisun
    Euisun is a Korean given name most notably borne by Euisun Chung, a prominent South Korean business executive and chairman of Hyundai Motor Group.
  • C. Koung-Khi
    Koung-Khi is an administrative department located in the West Region of Cameroon.
  • D. Kwangde
    Kwangde is a prominent Himalayan mountain massif in Nepal’s Khumbu region, known for its steep faces and challenging climbing routes.
  • E. Myeong-bok
    Myeong-bok is the given name of Gojong, the 26th king of the Joseon dynasty and first emperor of the Korean Empire.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6633043a481908359ad232607182a completed April 20, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0826fe50b481908c6cdefea4e10f8d completed May 16, 2026, 8:12 a.m.
NEDg Description generation batch_6a08295f91f88190868945d0368395bb completed May 16, 2026, 8:22 a.m.
NED2 Entity disambiguation (via description) batch_6a0829c935708190978ed4e447c12585 completed May 16, 2026, 8:24 a.m.
Created at: April 11, 2026, 3:38 p.m.