Triple

T6204502
Position Surface form Disambiguated ID Type / Status
Subject Nguyễn Cao Kỳ E138714 entity
Predicate givenName P17 FINISHED
Object Cao Kỳ
Cao Kỳ is the given name of Nguyễn Cao Kỳ, a prominent South Vietnamese military officer and political leader during the Vietnam War era.
 E576674 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: Cao Kỳ | Statement: [Nguyễn Cao Kỳ, givenName, Cao Kỳ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cao Kỳ
Context triple: [Nguyễn Cao Kỳ, givenName, Cao Kỳ]
  • A. Trương Định Ward
    Trương Định Ward is an urban administrative ward located within Hai Bà Trưng District in central Hanoi, Vietnam.
  • B. Khương Đình Ward
    Khương Đình Ward is an urban administrative subdivision of Thanh Xuân District in Hanoi, Vietnam.
  • C. Cui Hao
    Cui Hao was a prominent poet of the Tang dynasty in China, best known for his evocative landscape and frontier poems.
  • D. Gao Zhan
    Gao Zhan, better known as Emperor Wucheng of Northern Qi, was a 6th-century Chinese ruler noted for his initially capable governance that later declined into decadence and contributed to his dynasty’s downfall.
  • E. Cao Xue
    Cao Xue is a Chinese designer best known as the creator of Bing Dwen Dwen, the panda mascot of the Beijing 2022 Winter Olympics.
  • 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: Cao Kỳ
Triple: [Nguyễn Cao Kỳ, givenName, Cao Kỳ]
Generated description
Cao Kỳ is the given name of Nguyễn Cao Kỳ, a prominent South Vietnamese military officer and political leader during the Vietnam War era.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cao Kỳ
Target entity description: Cao Kỳ is the given name of Nguyễn Cao Kỳ, a prominent South Vietnamese military officer and political leader during the Vietnam War era.
  • A. Trương Định Ward
    Trương Định Ward is an urban administrative ward located within Hai Bà Trưng District in central Hanoi, Vietnam.
  • B. Khương Đình Ward
    Khương Đình Ward is an urban administrative subdivision of Thanh Xuân District in Hanoi, Vietnam.
  • C. Cui Hao
    Cui Hao was a prominent poet of the Tang dynasty in China, best known for his evocative landscape and frontier poems.
  • D. Gao Zhan
    Gao Zhan, better known as Emperor Wucheng of Northern Qi, was a 6th-century Chinese ruler noted for his initially capable governance that later declined into decadence and contributed to his dynasty’s downfall.
  • E. Cao Xue
    Cao Xue is a Chinese designer best known as the creator of Bing Dwen Dwen, the panda mascot of the Beijing 2022 Winter Olympics.
  • 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_69c008acbea48190991c6b834bb45d65 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0626d96ec8190816c00c44668177d completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f412d848190a8e78ad7822aa399 completed March 23, 2026, 4:50 p.m.
NEDg Description generation batch_69c1e3029cbc8190bed9449ec60412c0 completed March 24, 2026, 1:04 a.m.
NED2 Entity disambiguation (via description) batch_69c1e42a4c848190bc3a9273d5a6e211 completed March 24, 2026, 1:08 a.m.
Created at: March 22, 2026, 4:20 p.m.