Triple
T19439685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mako Iwamatsu |
E486312
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Mimosa Iwamatsu
Mimosa Iwamatsu is the child of Japanese-American actor and voice actor Mako Iwamatsu.
|
E1392404
|
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: Mimosa Iwamatsu | Statement: [Mako Iwamatsu, hasChild, Mimosa Iwamatsu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mimosa Iwamatsu Context triple: [Mako Iwamatsu, hasChild, Mimosa Iwamatsu]
-
A.
Ine Kusumoto
Ine Kusumoto was one of Japan’s first female physicians and a pioneering figure in the introduction of Western medicine to Japan in the 19th century.
-
B.
Hisako Kanemoto
Hisako Kanemoto is a Japanese voice actress and singer known for her roles in anime and for performing theme songs for various series.
-
C.
Mayuko Tanaka
Mayuko Tanaka is a Japanese public figure best known as the daughter of politician Makiko Tanaka and granddaughter of former Prime Minister Kakuei Tanaka.
-
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.
Keiko Yoshida
Keiko Yoshida is a Japanese translator and the wife of British novelist David Mitchell, known for collaborating with him on translations of Japanese literature.
- 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: Mimosa Iwamatsu Triple: [Mako Iwamatsu, hasChild, Mimosa Iwamatsu]
Generated description
Mimosa Iwamatsu is the child of Japanese-American actor and voice actor Mako Iwamatsu.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mimosa Iwamatsu Target entity description: Mimosa Iwamatsu is the child of Japanese-American actor and voice actor Mako Iwamatsu.
-
A.
Ine Kusumoto
Ine Kusumoto was one of Japan’s first female physicians and a pioneering figure in the introduction of Western medicine to Japan in the 19th century.
-
B.
Hisako Kanemoto
Hisako Kanemoto is a Japanese voice actress and singer known for her roles in anime and for performing theme songs for various series.
-
C.
Mayuko Tanaka
Mayuko Tanaka is a Japanese public figure best known as the daughter of politician Makiko Tanaka and granddaughter of former Prime Minister Kakuei Tanaka.
-
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.
Keiko Yoshida
Keiko Yoshida is a Japanese translator and the wife of British novelist David Mitchell, known for collaborating with him on translations of Japanese literature.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633637ea48190bfa36b0b0a2762bc |
completed | April 20, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07b4d8fa248190b4829baff78cbb64 |
completed | May 16, 2026, 12:05 a.m. |
| NEDg | Description generation | batch_6a07b63ed5788190917f0e90cc333adc |
completed | May 16, 2026, 12:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07b6bb60088190b3473ff2bf7cfde1 |
completed | May 16, 2026, 12:13 a.m. |
Created at: April 10, 2026, 1:38 p.m.