Triple

T6309114
Position Surface form Disambiguated ID Type / Status
Subject Chikako Shimazu E141455 entity
Predicate givenName P17 FINISHED
Object Chikako
Chikako is a Japanese feminine given name that can be written with various kanji characters and is borne by several notable women in Japan.
 E598771 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: Chikako | Statement: [Chikako Shimazu, givenName, Chikako]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chikako
Context triple: [Chikako Shimazu, givenName, Chikako]
  • A. Sachiko
    Sachiko is a Japanese feminine given name that can be written with various kanji combinations, often conveying meanings related to happiness or child.
  • B. Yoshiko
    Yoshiko is a feminine Japanese given name commonly used across various generations and often associated with traditional Japanese culture.
  • C. Kazuko
    Kazuko is a Japanese feminine given name commonly borne by women, including members of the imperial family.
  • D. Takako
    Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
  • E. Shigeko
    Shigeko is a Japanese feminine given name that has been borne by various notable women, including members of the imperial family.
  • 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: Chikako
Triple: [Chikako Shimazu, givenName, Chikako]
Generated description
Chikako is a Japanese feminine given name that can be written with various kanji characters and is borne by several notable women in Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chikako
Target entity description: Chikako is a Japanese feminine given name that can be written with various kanji characters and is borne by several notable women in Japan.
  • A. Sachiko
    Sachiko is a Japanese feminine given name that can be written with various kanji combinations, often conveying meanings related to happiness or child.
  • B. Yoshiko
    Yoshiko is a feminine Japanese given name commonly used across various generations and often associated with traditional Japanese culture.
  • C. Kazuko
    Kazuko is a Japanese feminine given name commonly borne by women, including members of the imperial family.
  • D. Takako
    Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
  • E. Shigeko
    Shigeko is a Japanese feminine given name that has been borne by various notable women, including members of the imperial family.
  • 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_69c008d00efc8190a36c05b4b4a3bf4b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0647f13a4819095c4ce8c42c5d1fb completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6856cef008190bf01118eb6be8c14 completed March 27, 2026, 1:26 p.m.
NEDg Description generation batch_69c69f1fb228819096b63169ee6a2b4f completed March 27, 2026, 3:15 p.m.
NED2 Entity disambiguation (via description) batch_69c6ac08698c8190b8a0a9625492353b completed March 27, 2026, 4:10 p.m.
Created at: March 22, 2026, 4:28 p.m.