Triple

T11932347
Position Surface form Disambiguated ID Type / Status
Subject Takeda Shingen E283944 entity
Predicate courtesyName P570 FINISHED
Object Shingen
Shingen was the courtesy name of Takeda Shingen, a prominent Sengoku-period daimyō and military strategist in feudal Japan.
 E961716 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: Shingen | Statement: [Takeda Shingen, courtesyName, Shingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shingen
Context triple: [Takeda Shingen, courtesyName, Shingen]
  • A. Shingen Yashida
    Shingen Yashida is a Marvel Comics character, often depicted as a powerful and ruthless Japanese crime lord and adversary of Wolverine.
  • B. Masaharu
    Masaharu is a Japanese masculine given name that can be written with various kanji combinations and is borne by several notable figures in Japanese history and culture.
  • C. Kume Kunitake
    Kume Kunitake was a Meiji-era Japanese scholar, historian, and statesman best known for documenting the Iwakura Mission’s journey and for his influential writings on Japan’s modernization.
  • D. Kiyotaka
    Kiyotaka is a Japanese given name commonly used for males and borne by various notable figures in Japan.
  • E. Nagao
    Nagao is a Japanese samurai clan name historically associated with the powerful warlord Uesugi Kenshin during the Sengoku period.
  • 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: Shingen
Triple: [Takeda Shingen, courtesyName, Shingen]
Generated description
Shingen was the courtesy name of Takeda Shingen, a prominent Sengoku-period daimyō and military strategist in feudal Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shingen
Target entity description: Shingen was the courtesy name of Takeda Shingen, a prominent Sengoku-period daimyō and military strategist in feudal Japan.
  • A. Shingen Yashida
    Shingen Yashida is a Marvel Comics character, often depicted as a powerful and ruthless Japanese crime lord and adversary of Wolverine.
  • B. Masaharu
    Masaharu is a Japanese masculine given name that can be written with various kanji combinations and is borne by several notable figures in Japanese history and culture.
  • C. Kume Kunitake
    Kume Kunitake was a Meiji-era Japanese scholar, historian, and statesman best known for documenting the Iwakura Mission’s journey and for his influential writings on Japan’s modernization.
  • D. Kiyotaka
    Kiyotaka is a Japanese given name commonly used for males and borne by various notable figures in Japan.
  • E. Nagao
    Nagao is a Japanese samurai clan name historically associated with the powerful warlord Uesugi Kenshin during the Sengoku period.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90305015c81908edb0d9d3d012b2e completed April 10, 2026, 2:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49ce47d488190af7f832e7719a4ce completed May 1, 2026, 12:30 p.m.
NEDg Description generation batch_69f53d8ec5448190b303624887f7fa05 completed May 1, 2026, 11:56 p.m.
NED2 Entity disambiguation (via description) batch_69f564d2b4348190abf2d09ae00aea37 completed May 2, 2026, 2:43 a.m.
Created at: April 8, 2026, 9:45 p.m.