Triple
T1561504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yoshihito |
E33333
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Sadako Kujō
Sadako Kujō was a Japanese noblewoman who became Empress of Japan as the consort of Emperor Taishō (Yoshihito).
|
E177472
|
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 Kujō | Statement: [Yoshihito, spouse, Sadako Kujō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sadako Kujō Context triple: [Yoshihito, spouse, Sadako Kujō]
-
A.
Yuriko
Yuriko is the given name of Japanese actress Rinko Kikuchi, known for her roles in films such as "Babel" and "Pacific Rim."
-
B.
Shigeko
Shigeko is a Japanese feminine given name that has been borne by various notable women, including members of the imperial family.
-
C.
Chikako Shimazu
Chikako Shimazu was a Japanese noblewoman of the influential Shimazu family and the mother of Empress Kōjun, consort of Emperor Shōwa (Hirohito).
-
D.
Kazuko
Kazuko is a Japanese feminine given name commonly borne by women, including members of the imperial family.
-
E.
Hideki
Hideki is a Japanese given name most famously borne by theoretical physicist Hideki Yukawa, the first Japanese Nobel Prize laureate.
- 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 Kujō Triple: [Yoshihito, spouse, Sadako Kujō]
Generated description
Sadako Kujō was a Japanese noblewoman who became Empress of Japan as the consort of Emperor Taishō (Yoshihito).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sadako Kujō Target entity description: Sadako Kujō was a Japanese noblewoman who became Empress of Japan as the consort of Emperor Taishō (Yoshihito).
-
A.
Yuriko
Yuriko is the given name of Japanese actress Rinko Kikuchi, known for her roles in films such as "Babel" and "Pacific Rim."
-
B.
Shigeko
Shigeko is a Japanese feminine given name that has been borne by various notable women, including members of the imperial family.
-
C.
Chikako Shimazu
Chikako Shimazu was a Japanese noblewoman of the influential Shimazu family and the mother of Empress Kōjun, consort of Emperor Shōwa (Hirohito).
-
D.
Kazuko
Kazuko is a Japanese feminine given name commonly borne by women, including members of the imperial family.
-
E.
Hideki
Hideki is a Japanese given name most famously borne by theoretical physicist Hideki Yukawa, the first Japanese Nobel Prize laureate.
- 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9088710a881909a1226e4b54311b8 |
completed | March 5, 2026, 4:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad37151ad48190a8c25899b488c68b |
completed | March 8, 2026, 8:45 a.m. |
| NEDg | Description generation | batch_69ad385d931c8190a69b82853ba26a30 |
completed | March 8, 2026, 8:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad38d106348190835d753c6cffcc48 |
completed | March 8, 2026, 8:52 a.m. |
Created at: March 4, 2026, 7:27 p.m.