Triple
T937998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Kazuko |
E20240
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Kazuko
Kazuko is a Japanese feminine given name commonly borne by women, including members of the imperial family.
|
E142931
|
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: Kazuko | Statement: [Princess Kazuko, givenName, Kazuko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kazuko Context triple: [Princess Kazuko, givenName, Kazuko]
-
A.
Shigeko
Shigeko is a Japanese feminine given name that has been borne by various notable women, including members of the imperial family.
-
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.
Toshiko Sato
Toshiko Sato is a brilliant and introverted technical expert and doctor in the British science-fiction series Torchwood, known for her skills in alien technology and her emotional depth.
-
D.
Chikako Shimazu
Chikako Shimazu was a Japanese noblewoman of the influential Shimazu family and the mother of Empress Kōjun, consort of Emperor Shōwa (Hirohito).
-
E.
Michiko
Michiko is the former Empress of Japan and the wife of Emperor Emeritus Akihito, known for being the first commoner to marry into the Japanese 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: Kazuko Triple: [Princess Kazuko, givenName, Kazuko]
Generated description
Kazuko is a Japanese feminine given name commonly borne by women, including members of the imperial family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kazuko Target entity description: Kazuko is a Japanese feminine given name commonly borne by women, including members of the imperial family.
-
A.
Shigeko
Shigeko is a Japanese feminine given name that has been borne by various notable women, including members of the imperial family.
-
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.
Toshiko Sato
Toshiko Sato is a brilliant and introverted technical expert and doctor in the British science-fiction series Torchwood, known for her skills in alien technology and her emotional depth.
-
D.
Chikako Shimazu
Chikako Shimazu was a Japanese noblewoman of the influential Shimazu family and the mother of Empress Kōjun, consort of Emperor Shōwa (Hirohito).
-
E.
Michiko
Michiko is the former Empress of Japan and the wife of Emperor Emeritus Akihito, known for being the first commoner to marry into the Japanese 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_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b388f0bc8190a087222636135ba5 |
completed | March 1, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac93a1fc5c819089ab10a6f0ed062b |
completed | March 7, 2026, 9:07 p.m. |
| NEDg | Description generation | batch_69ac9407377c8190a8c94d907566f37a |
completed | March 7, 2026, 9:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac9455b87c8190ba6b60f1605d0108 |
completed | March 7, 2026, 9:10 p.m. |
Created at: March 1, 2026, 7:40 p.m.