Triple

T7509214
Position Surface form Disambiguated ID Type / Status
Subject Sadako Kujō E177472 entity
Predicate givenName P17 FINISHED
Object Sadako
Sadako is a feminine Japanese given name commonly associated with several notable historical and fictional figures.
 E670225 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: Sadako | Statement: [Sadako Kujō, givenName, Sadako]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sadako
Context triple: [Sadako Kujō, givenName, Sadako]
  • A. Yoshiko
    Yoshiko is a feminine Japanese given name commonly used across various generations and often associated with traditional Japanese culture.
  • B. Sachiko
    Sachiko is a Japanese feminine given name that can be written with various kanji combinations, often conveying meanings related to happiness or child.
  • C. Totsuko
    Totsuko is the former abbreviated name of Tokyo Tsushin Kogyo, the Japanese company that later became Sony.
  • D. Shigeko
    Shigeko is a Japanese feminine given name that has been borne by various notable women, including members of the imperial family.
  • E. Toshiko Soma
    Toshiko Soma was the Japanese wife of Indian revolutionary Rashbehari Bose, known for supporting his anti-colonial activities while he lived in Japan.
  • 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: Sadako
Triple: [Sadako Kujō, givenName, Sadako]
Generated description
Sadako is a feminine Japanese given name commonly associated with several notable historical and fictional figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sadako
Target entity description: Sadako is a feminine Japanese given name commonly associated with several notable historical and fictional figures.
  • A. Yoshiko
    Yoshiko is a feminine Japanese given name commonly used across various generations and often associated with traditional Japanese culture.
  • B. Sachiko
    Sachiko is a Japanese feminine given name that can be written with various kanji combinations, often conveying meanings related to happiness or child.
  • C. Totsuko
    Totsuko is the former abbreviated name of Tokyo Tsushin Kogyo, the Japanese company that later became Sony.
  • D. Shigeko
    Shigeko is a Japanese feminine given name that has been borne by various notable women, including members of the imperial family.
  • E. Toshiko Soma
    Toshiko Soma was the Japanese wife of Indian revolutionary Rashbehari Bose, known for supporting his anti-colonial activities while he lived in Japan.
  • 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_69c69f276b108190af2cc790b6554544 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5d052888190ae8678f9134d737c completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8461035b48190ba08c0f759cafe4a completed March 28, 2026, 9:20 p.m.
NEDg Description generation batch_69c84754ec048190be1e37c2189b56ed completed March 28, 2026, 9:25 p.m.
NED2 Entity disambiguation (via description) batch_69c848026e90819098d0b419101f91e1 completed March 28, 2026, 9:28 p.m.
Created at: March 27, 2026, 3:45 p.m.