Triple

T6286929
Position Surface form Disambiguated ID Type / Status
Subject Yuan Shikai E140923 entity
Predicate givenName P17 FINISHED
Object Shikai
Shikai is the given name of Yuan Shikai, the Chinese military and political leader who became the first president of the Republic of China.
 E581528 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: Shikai | Statement: [Yuan Shikai, givenName, Shikai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shikai
Context triple: [Yuan Shikai, givenName, Shikai]
  • A. Asakura
    Asakura is a city in Fukuoka Prefecture, Japan, known for its rural landscapes, historic sites, and agricultural products such as fruits and vegetables.
  • B. Hatsuzuki
    Hatsuzuki was an Imperial Japanese Navy Akizuki-class destroyer that saw action in World War II before being sunk during the Battle off Cape Engaño in 1944.
  • C. Shinmei
    Shinmei is a divine title associated with Emperor Jimmu, the legendary first emperor of Japan revered as a descendant of the sun goddess Amaterasu.
  • D. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • E. Shoto
    Shoto is an upscale residential neighborhood in Tokyo’s Shibuya ward, known for its quiet streets, cultural institutions, and affluent atmosphere.
  • 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: Shikai
Triple: [Yuan Shikai, givenName, Shikai]
Generated description
Shikai is the given name of Yuan Shikai, the Chinese military and political leader who became the first president of the Republic of China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shikai
Target entity description: Shikai is the given name of Yuan Shikai, the Chinese military and political leader who became the first president of the Republic of China.
  • A. Asakura
    Asakura is a city in Fukuoka Prefecture, Japan, known for its rural landscapes, historic sites, and agricultural products such as fruits and vegetables.
  • B. Hatsuzuki
    Hatsuzuki was an Imperial Japanese Navy Akizuki-class destroyer that saw action in World War II before being sunk during the Battle off Cape Engaño in 1944.
  • C. Shinmei
    Shinmei is a divine title associated with Emperor Jimmu, the legendary first emperor of Japan revered as a descendant of the sun goddess Amaterasu.
  • D. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • E. Shoto
    Shoto is an upscale residential neighborhood in Tokyo’s Shibuya ward, known for its quiet streets, cultural institutions, and affluent atmosphere.
  • 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_69c008cd17c8819082b82d3fbeb68047 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063ff9f74819088dc603f56fc930c completed March 22, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c51973a364819099dc5a99858e9a7a completed March 26, 2026, 11:33 a.m.
NEDg Description generation batch_69c51e8acc98819098c22c7895da3ab1 completed March 26, 2026, 11:54 a.m.
NED2 Entity disambiguation (via description) batch_69c51f2512648190b8c78b34c00f3a07 completed March 26, 2026, 11:57 a.m.
Created at: March 22, 2026, 4:26 p.m.