Triple
T841207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masako Owada |
E18180
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Yumiko Owada
Yumiko Owada is the mother of Masako Owada, who became Empress Masako of Japan.
|
E132751
|
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: Yumiko Owada | Statement: [Masako Owada, mother, Yumiko Owada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yumiko Owada Context triple: [Masako Owada, mother, Yumiko Owada]
-
A.
Masako Owada
Masako Owada, now Empress Masako of Japan, is a Harvard- and Oxford-educated former diplomat who became the consort of Emperor Naruhito and a prominent member of the Japanese imperial family.
-
B.
Reiko Yamamoto
Reiko Yamamoto was the wife of Admiral Isoroku Yamamoto, the famed commander-in-chief of the Imperial Japanese Navy during World War II.
-
C.
Hisako Nagayama
Hisako Nagayama was the wife of Japanese general Tomoyuki Yamashita, who was a prominent military leader during World War II.
-
D.
Miyoko Fuchida
Miyoko Fuchida was the wife of Japanese naval aviator Mitsuo Fuchida, known for her support of him during and after World War II and his later Christian missionary work.
-
E.
Yuriko Kikuchi
Yuriko Kikuchi, better known professionally as Rinko Kikuchi, is a Japanese actress acclaimed for her roles in films such as "Babel" and "Pacific Rim."
- 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: Yumiko Owada Triple: [Masako Owada, mother, Yumiko Owada]
Generated description
Yumiko Owada is the mother of Masako Owada, who became Empress Masako of Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yumiko Owada Target entity description: Yumiko Owada is the mother of Masako Owada, who became Empress Masako of Japan.
-
A.
Masako Owada
Masako Owada, now Empress Masako of Japan, is a Harvard- and Oxford-educated former diplomat who became the consort of Emperor Naruhito and a prominent member of the Japanese imperial family.
-
B.
Reiko Yamamoto
Reiko Yamamoto was the wife of Admiral Isoroku Yamamoto, the famed commander-in-chief of the Imperial Japanese Navy during World War II.
-
C.
Hisako Nagayama
Hisako Nagayama was the wife of Japanese general Tomoyuki Yamashita, who was a prominent military leader during World War II.
-
D.
Miyoko Fuchida
Miyoko Fuchida was the wife of Japanese naval aviator Mitsuo Fuchida, known for her support of him during and after World War II and his later Christian missionary work.
-
E.
Yuriko Kikuchi
Yuriko Kikuchi, better known professionally as Rinko Kikuchi, is a Japanese actress acclaimed for her roles in films such as "Babel" and "Pacific Rim."
- 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_69a49389f44881909a608fb27d89f247 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abe6f0dc8190a1bebb5e21f4ceac |
completed | March 1, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5e95e25881909c3e167417c0ae47 |
completed | March 7, 2026, 5:21 p.m. |
| NEDg | Description generation | batch_69ac5f15c2808190905e40c6db9d957c |
completed | March 7, 2026, 5:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac633749008190bae63644d5ee7cea |
completed | March 7, 2026, 5:41 p.m. |
Created at: March 1, 2026, 7:38 p.m.