Triple
T22429970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murata Makoto |
E554471
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Makoto |
—
|
NE NERFINISHED |
How this triple was built (2 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: Makoto | Statement: [Murata Makoto, hasGivenName, Makoto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Makoto Context triple: [Murata Makoto, hasGivenName, Makoto]
-
A.
Makoto
chosen
Makoto is a common Japanese given name used for people of any gender, often associated with sincerity or truth.
-
B.
Murata Makoto
Murata Makoto is a Japanese computer scientist best known for his work on XML technologies and for designing the RELAX schema language.
-
C.
Maron Kusakabe
Maron Kusakabe is the main heroine of the magical girl manga and anime series "Kamikaze Kaitou Jeanne," a modern reincarnation of Jeanne d’Arc who fights demons while balancing her everyday school life.
-
D.
Mako Akishino
Mako Akishino is a former Japanese imperial family member and the eldest daughter of Prince Akishino and Princess Kiko, known internationally for her marriage to Kei Komuro and subsequent departure from royal status.
-
E.
Youki Kudoh
Youki Kudoh is a Japanese actress and singer known internationally for her roles in films such as "Mystery Train," "Heaven's Burning," and "Snow Falling on Cedars."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a311b148190bdb752f3f067bb3f |
completed | April 29, 2026, 1:09 a.m. |
Created at: April 16, 2026, 8:47 p.m.