Triple

T6498410
Position Surface form Disambiguated ID Type / Status
Subject Vietnamese literature E148813 entity
Predicate notableAuthor P4290 FINISHED
Object Bảo Ninh
Bảo Ninh is a Vietnamese novelist best known for his anti-war classic "The Sorrow of War," which offers a haunting, introspective portrayal of the Vietnam War from a North Vietnamese soldier’s perspective.
 E602770 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: Bảo Ninh | Statement: [Vietnamese literature, notableAuthor, Bảo Ninh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bảo Ninh
Context triple: [Vietnamese literature, notableAuthor, Bảo Ninh]
  • A. An Lộc
    An Lộc is a town in southern Vietnam that became a major battlefield during the 1972 Easter Offensive in the Vietnam War.
  • B. Vân Đình
    Vân Đình is a small urban center in Hanoi, Vietnam, known as the administrative and commercial hub of Ứng Hòa District.
  • C. Bảo Thắng
    Bảo Thắng was a Vietnamese prince, one of the sons of the last emperor of Vietnam, Bảo Đại.
  • D. Xuan Loc
    Xuan Loc is a town in Đồng Nai Province, Vietnam, historically significant as the site of one of the final major battles of the Vietnam War.
  • E. Văn Minh
    Văn Minh is the given name of Dương Văn Minh, a South Vietnamese general and the last president of South Vietnam.
  • 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: Bảo Ninh
Triple: [Vietnamese literature, notableAuthor, Bảo Ninh]
Generated description
Bảo Ninh is a Vietnamese novelist best known for his anti-war classic "The Sorrow of War," which offers a haunting, introspective portrayal of the Vietnam War from a North Vietnamese soldier’s perspective.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bảo Ninh
Target entity description: Bảo Ninh is a Vietnamese novelist best known for his anti-war classic "The Sorrow of War," which offers a haunting, introspective portrayal of the Vietnam War from a North Vietnamese soldier’s perspective.
  • A. An Lộc
    An Lộc is a town in southern Vietnam that became a major battlefield during the 1972 Easter Offensive in the Vietnam War.
  • B. Vân Đình
    Vân Đình is a small urban center in Hanoi, Vietnam, known as the administrative and commercial hub of Ứng Hòa District.
  • C. Bảo Thắng
    Bảo Thắng was a Vietnamese prince, one of the sons of the last emperor of Vietnam, Bảo Đại.
  • D. Xuan Loc
    Xuan Loc is a town in Đồng Nai Province, Vietnam, historically significant as the site of one of the final major battles of the Vietnam War.
  • E. Văn Minh
    Văn Minh is the given name of Dương Văn Minh, a South Vietnamese general and the last president of South Vietnam.
  • 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_69c687e9ad288190bae5bcac9c8ac855 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c68ad00d10819096c43f311388fa3a completed March 27, 2026, 1:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb16d6a48190b6871e55fda2e1a6 completed March 27, 2026, 6:23 p.m.
NEDg Description generation batch_69c6d11efda48190b99b2793801898d1 completed March 27, 2026, 6:49 p.m.
NED2 Entity disambiguation (via description) batch_69c6d1d51d8c8190be4408413110ed9a completed March 27, 2026, 6:52 p.m.
Created at: March 27, 2026, 1:41 p.m.