Triple

T6194602
Position Surface form Disambiguated ID Type / Status
Subject Makiko Tanaka E138478 entity
Predicate givenName P17 FINISHED
Object Makiko
Makiko is a Japanese feminine given name commonly borne by women in Japan and of Japanese heritage.
 E622958 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: Makiko | Statement: [Makiko Tanaka, givenName, Makiko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Makiko
Context triple: [Makiko Tanaka, givenName, Makiko]
  • A. Hisako
    Hisako is a member of the Japanese imperial family known as Princess Takamado, recognized for her cultural, charitable, and international goodwill activities.
  • B. Tokiko
    Tokiko, also known as Taira no Tokiko or the Nun of Second Rank, was a prominent noblewoman of the late Heian period and stepmother of Emperor Antoku, influential within the powerful Taira clan.
  • C. Tsutako
    Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
  • D. Nagako
    Nagako, better known as Empress Kōjun, was the long-serving consort of Emperor Shōwa (Hirohito) and the mother of Emperor Emeritus Akihito of Japan.
  • E. Yukio
    Yukio is a Japanese given name commonly used for males and borne by several notable figures in politics, arts, and entertainment.
  • 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: Makiko
Triple: [Makiko Tanaka, givenName, Makiko]
Generated description
Makiko is a Japanese feminine given name commonly borne by women in Japan and of Japanese heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Makiko
Target entity description: Makiko is a Japanese feminine given name commonly borne by women in Japan and of Japanese heritage.
  • A. Hisako
    Hisako is a member of the Japanese imperial family known as Princess Takamado, recognized for her cultural, charitable, and international goodwill activities.
  • B. Tokiko
    Tokiko, also known as Taira no Tokiko or the Nun of Second Rank, was a prominent noblewoman of the late Heian period and stepmother of Emperor Antoku, influential within the powerful Taira clan.
  • C. Tsutako
    Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
  • D. Nagako
    Nagako, better known as Empress Kōjun, was the long-serving consort of Emperor Shōwa (Hirohito) and the mother of Emperor Emeritus Akihito of Japan.
  • E. Yukio
    Yukio is a Japanese given name commonly used for males and borne by several notable figures in politics, arts, and entertainment.
  • 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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062443cec81909dc9bafea2f5e7d4 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72f6514948190a5562201e7b36e27 completed March 28, 2026, 1:31 a.m.
NEDg Description generation batch_69c7304c0bac8190a9ece4e50ab49586 completed March 28, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69c7310fa9bc8190bfb0a43890dc5e96 completed March 28, 2026, 1:38 a.m.
Created at: March 22, 2026, 4:19 p.m.