Triple
T8083140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yasuko Hatoyama |
E188665
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Yasuko
Yasuko is a feminine Japanese given name commonly used for women.
|
E713441
|
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: Yasuko | Statement: [Yasuko Hatoyama, givenName, Yasuko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yasuko Context triple: [Yasuko Hatoyama, givenName, Yasuko]
-
A.
Hisako, Princess Takamado
Hisako, Princess Takamado is a member of the Japanese imperial family known for her extensive work in cultural exchange, sports promotion, and various charitable and artistic activities.
-
B.
Yuriko
Yuriko is the given name of Japanese actress Rinko Kikuchi, known for her roles in films such as "Babel" and "Pacific Rim."
-
C.
Nagako Kuni
Nagako Kuni, later known as Empress Kōjun, was the wife of Emperor Shōwa (Hirohito) and the longest-serving empress consort in Japanese history.
-
D.
Princess Kazuko
Princess Kazuko was a Japanese imperial princess, the second daughter of Emperor Hirohito, who became a prominent member of the Imperial Family in the Shōwa era.
-
E.
Kazuko
Kazuko is a Japanese feminine given name commonly borne by 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: Yasuko Triple: [Yasuko Hatoyama, givenName, Yasuko]
Generated description
Yasuko is a feminine Japanese given name commonly used for women.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yasuko Target entity description: Yasuko is a feminine Japanese given name commonly used for women.
-
A.
Hisako, Princess Takamado
Hisako, Princess Takamado is a member of the Japanese imperial family known for her extensive work in cultural exchange, sports promotion, and various charitable and artistic activities.
-
B.
Yuriko
Yuriko is the given name of Japanese actress Rinko Kikuchi, known for her roles in films such as "Babel" and "Pacific Rim."
-
C.
Nagako Kuni
Nagako Kuni, later known as Empress Kōjun, was the wife of Emperor Shōwa (Hirohito) and the longest-serving empress consort in Japanese history.
-
D.
Princess Kazuko
Princess Kazuko was a Japanese imperial princess, the second daughter of Emperor Hirohito, who became a prominent member of the Imperial Family in the Shōwa era.
-
E.
Kazuko
Kazuko is a Japanese feminine given name commonly borne by 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_69ca82b662e88190b9323daab8c28a21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb415cb4688190920868317e77bbff |
completed | March 31, 2026, 3:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc93eddef48190b5f499a5b52428c8 |
completed | April 1, 2026, 3:41 a.m. |
| NEDg | Description generation | batch_69cc9557c6148190a759021b6add0a61 |
completed | April 1, 2026, 3:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc96a8bb688190a352de1798b380f1 |
completed | April 1, 2026, 3:53 a.m. |
Created at: March 30, 2026, 5:28 p.m.