Triple
T2569622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empress Teimei |
E57632
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Nijō Motoko
Nijō Motoko was a Japanese noblewoman of the Nijō family and the mother of Empress Teimei, consort of Emperor Taishō.
|
E284133
|
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: Nijō Motoko | Statement: [Empress Teimei, mother, Nijō Motoko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nijō Motoko Context triple: [Empress Teimei, mother, Nijō Motoko]
-
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.
Kawashima Kiko
Kawashima Kiko, better known as Princess Kiko, is a member of the Japanese imperial family and the wife of Crown Prince Fumihito (Prince Akishino).
-
C.
Yanagihara Naruko
Yanagihara Naruko was a Japanese noblewoman and concubine of Emperor Meiji, best known as the mother of Emperor Taishō.
-
D.
Teruko Hirashiki
Teruko Hirashiki is best known as the wife of prominent Japanese-American architect Minoru Yamasaki, designer of the original World Trade Center.
-
E.
Ayako Wakao
Ayako Wakao is a renowned Japanese actress celebrated for her prolific film career from the 1950s onward, particularly in collaborations with director Yasuzō Masumura.
- 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: Nijō Motoko Triple: [Empress Teimei, mother, Nijō Motoko]
Generated description
Nijō Motoko was a Japanese noblewoman of the Nijō family and the mother of Empress Teimei, consort of Emperor Taishō.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nijō Motoko Target entity description: Nijō Motoko was a Japanese noblewoman of the Nijō family and the mother of Empress Teimei, consort of Emperor Taishō.
-
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.
Kawashima Kiko
Kawashima Kiko, better known as Princess Kiko, is a member of the Japanese imperial family and the wife of Crown Prince Fumihito (Prince Akishino).
-
C.
Yanagihara Naruko
Yanagihara Naruko was a Japanese noblewoman and concubine of Emperor Meiji, best known as the mother of Emperor Taishō.
-
D.
Teruko Hirashiki
Teruko Hirashiki is best known as the wife of prominent Japanese-American architect Minoru Yamasaki, designer of the original World Trade Center.
-
E.
Ayako Wakao
Ayako Wakao is a renowned Japanese actress celebrated for her prolific film career from the 1950s onward, particularly in collaborations with director Yasuzō Masumura.
- 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_69ab4a51410081908501dcf8bad9adc4 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd380d6e081909c124e8a0b7feef3 |
completed | March 7, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af90721edc8190a80decc7195f80de |
completed | March 10, 2026, 3:30 a.m. |
| NEDg | Description generation | batch_69af92e781648190a4587c8a7691f819 |
completed | March 10, 2026, 3:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af935bb8ec81909282eb08976469e3 |
completed | March 10, 2026, 3:43 a.m. |
Created at: March 6, 2026, 9:48 p.m.