Triple

T15900982
Position Surface form Disambiguated ID Type / Status
Subject Tokugawa Yoshinobu E385586 entity
Predicate spouse P13 FINISHED
Object Mikako
Mikako was the wife of Tokugawa Yoshinobu, the last shogun of Japan’s Tokugawa shogunate.
E1187398 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: Mikako | Statement: [Tokugawa Yoshinobu, spouse, Mikako]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mikako
Context triple: [Tokugawa Yoshinobu, spouse, Mikako]
  • A. Misako
    Misako is a key character in the Ninjago universe, known as an archaeologist and historian who is the mother of Lloyd Garmadon and the wife of Garmadon.
  • B. Masako
    Masako is the Empress of Japan, a former diplomat and Harvard-educated member of the Imperial House known for her international background and public role.
  • C. Kumiko
    Kumiko is a young Okinawan woman and love interest of Daniel LaRusso in "The Karate Kid Part II," known for her grace, independence, and passion for traditional dance.
  • D. Kumiko
    Kumiko is the introspective Japanese woman at the center of the film "Kumiko, the Treasure Hunter," whose obsession with a fictional movie treasure drives her on a quixotic journey to America.
  • E. Kumiko
    Kumiko is a feminine Japanese given name that can be written with various kanji characters, often carrying meanings related to beauty, longevity, or companionship.
  • 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: Mikako
Triple: [Tokugawa Yoshinobu, spouse, Mikako]
Generated description
Mikako was the wife of Tokugawa Yoshinobu, the last shogun of Japan’s Tokugawa shogunate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mikako
Target entity description: Mikako was the wife of Tokugawa Yoshinobu, the last shogun of Japan’s Tokugawa shogunate.
  • A. Misako
    Misako is a key character in the Ninjago universe, known as an archaeologist and historian who is the mother of Lloyd Garmadon and the wife of Garmadon.
  • B. Masako
    Masako is the Empress of Japan, a former diplomat and Harvard-educated member of the Imperial House known for her international background and public role.
  • C. Kumiko
    Kumiko is the introspective Japanese woman at the center of the film "Kumiko, the Treasure Hunter," whose obsession with a fictional movie treasure drives her on a quixotic journey to America.
  • D. Kumiko
    Kumiko is a young Okinawan woman and love interest of Daniel LaRusso in "The Karate Kid Part II," known for her grace, independence, and passion for traditional dance.
  • E. Kumiko
    Kumiko is a feminine Japanese given name that can be written with various kanji characters, often carrying meanings related to beauty, longevity, or companionship.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563cd2f081909404d724ecc8785a completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3bb7d608190babbea74a9ca9f4c completed May 9, 2026, 11:31 p.m.
NEDg Description generation batch_69ffc43121b08190a7a471dcb13cc133 completed May 9, 2026, 11:33 p.m.
NED2 Entity disambiguation (via description) batch_69ffc4cea4108190927b107fc24df597 completed May 9, 2026, 11:35 p.m.
Created at: April 10, 2026, 4:51 a.m.