Triple

T1514910
Position Surface form Disambiguated ID Type / Status
Subject Tsukuyomi E32096 entity
Predicate hasTitle P38 FINISHED
Object Mikoto
Mikoto is a divine title associated with the Shinto moon god Tsukuyomi, reflecting reverence and honor in Japanese mythology.
 E236746 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: Mikoto | Statement: [Tsukuyomi, hasTitle, Mikoto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mikoto
Context triple: [Tsukuyomi, hasTitle, Mikoto]
  • A. Mitsuru
    Mitsuru is a Japanese given name that can be used for people of any gender and is borne by various notable figures in sports, arts, and entertainment.
  • B. Miraitowa
    Miraitowa is the futuristic, blue-and-white checkered character created as the official mascot of the Tokyo 2020 Summer Olympics, symbolizing tradition, innovation, and a hopeful future.
  • C. Mamoru
    Mamoru is a Japanese masculine given name commonly borne by notable figures in politics, arts, and entertainment.
  • D. Shoto
    Shoto is an upscale residential neighborhood in Tokyo’s Shibuya ward, known for its quiet streets, cultural institutions, and affluent atmosphere.
  • E. Yuriko
    Yuriko is the given name of Japanese actress Rinko Kikuchi, known for her roles in films such as "Babel" and "Pacific Rim."
  • 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: Mikoto
Triple: [Tsukuyomi, hasTitle, Mikoto]
Generated description
Mikoto is a divine title associated with the Shinto moon god Tsukuyomi, reflecting reverence and honor in Japanese mythology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mikoto
Target entity description: Mikoto is a divine title associated with the Shinto moon god Tsukuyomi, reflecting reverence and honor in Japanese mythology.
  • A. Mitsuru
    Mitsuru is a Japanese given name that can be used for people of any gender and is borne by various notable figures in sports, arts, and entertainment.
  • B. Miraitowa
    Miraitowa is the futuristic, blue-and-white checkered character created as the official mascot of the Tokyo 2020 Summer Olympics, symbolizing tradition, innovation, and a hopeful future.
  • C. Mamoru
    Mamoru is a Japanese masculine given name commonly borne by notable figures in politics, arts, and entertainment.
  • D. Shoto
    Shoto is an upscale residential neighborhood in Tokyo’s Shibuya ward, known for its quiet streets, cultural institutions, and affluent atmosphere.
  • E. Yuriko
    Yuriko is the given name of Japanese actress Rinko Kikuchi, known for her roles in films such as "Babel" and "Pacific Rim."
  • 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_69a885e8caf88190a5fbb6159ce87786 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a907da75388190bfbdbedbd46adbdc completed March 5, 2026, 4:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5162c078819085c7fbc11f679d56 completed March 9, 2026, 4:49 a.m.
NEDg Description generation batch_69ae51c867e88190851aba8c26f9204a completed March 9, 2026, 4:51 a.m.
NED2 Entity disambiguation (via description) batch_69ae52f34598819088a22632064afa30 completed March 9, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:26 p.m.