Triple

T8871969
Position Surface form Disambiguated ID Type / Status
Subject Naong Hyegeun E211177 entity
Predicate knownAs P39 FINISHED
Object Naong
Naong was a prominent Korean Buddhist monk and Seon (Zen) master of the Goryeo dynasty, renowned for revitalizing meditation practice and influencing later Korean Buddhism.
 E763119 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: Naong | Statement: [Naong Hyegeun, knownAs, Naong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Naong
Context triple: [Naong Hyegeun, knownAs, Naong]
  • A. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • B. Namaka
    Namaka is the smaller and inner of the two known moons orbiting the dwarf planet Haumea in the Kuiper Belt.
  • C. Tamasopo
    Tamasopo is a small town in the Huasteca Potosina region of San Luis Potosí, Mexico, known for its lush landscapes and popular nearby waterfalls and natural swimming areas.
  • D. Nalik
    Nalik is an Austronesian language spoken by a small community in New Ireland, Papua New Guinea.
  • E. Nuna
    Nuna is an alternative name historically used for the South American country of Colombia.
  • 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: Naong
Triple: [Naong Hyegeun, knownAs, Naong]
Generated description
Naong was a prominent Korean Buddhist monk and Seon (Zen) master of the Goryeo dynasty, renowned for revitalizing meditation practice and influencing later Korean Buddhism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Naong
Target entity description: Naong was a prominent Korean Buddhist monk and Seon (Zen) master of the Goryeo dynasty, renowned for revitalizing meditation practice and influencing later Korean Buddhism.
  • A. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • B. Namaka
    Namaka is the smaller and inner of the two known moons orbiting the dwarf planet Haumea in the Kuiper Belt.
  • C. Tamasopo
    Tamasopo is a small town in the Huasteca Potosina region of San Luis Potosí, Mexico, known for its lush landscapes and popular nearby waterfalls and natural swimming areas.
  • D. Nalik
    Nalik is an Austronesian language spoken by a small community in New Ireland, Papua New Guinea.
  • E. Nuna
    Nuna is an alternative name historically used for the South American country of Colombia.
  • 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_69ca838e78748190934d82db3104f855 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61281e888190a32b08980310979f completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0f1f1888190a5b514b895e44799 completed April 3, 2026, 11:13 a.m.
NEDg Description generation batch_69cfa1ee350881909355371d824ebe3d completed April 3, 2026, 11:18 a.m.
NED2 Entity disambiguation (via description) batch_69cfa26ab1b881909e42a435f4e3333c completed April 3, 2026, 11:20 a.m.
Created at: March 30, 2026, 6:51 p.m.