Triple
T5767409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RELAX |
E127247
|
entity |
| Predicate | developedBy |
P73
|
FINISHED |
| Object | Murata Makoto |
E554471
|
NE FINISHED |
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: Murata Makoto | Statement: [RELAX, developedBy, Murata Makoto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Murata Makoto Context triple: [RELAX, developedBy, Murata Makoto]
-
A.
Murata Makoto
chosen
Murata Makoto is a Japanese computer scientist best known for his work on XML technologies and for designing the RELAX schema language.
-
B.
Saitō Makoto
Saitō Makoto was a Japanese admiral and statesman who served as Governor-General of Korea and later as Prime Minister of Japan during the early Shōwa period.
-
C.
Ushijima Mitsuru
Ushijima Mitsuru was an Imperial Japanese Army general best known for commanding Japanese forces during the Battle of Okinawa in World War II.
-
D.
Makoto Uchida
Makoto Uchida is a Japanese automotive executive who serves as the chief executive officer of Nissan Motor Co.
-
E.
Kaoru Ushijima
Kaoru Ushijima is a Japanese individual notable enough to be recognized as a namesake of the surname Ushijima.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c00834f6308190851b0abeddd8ed7e |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029731adc8190888adc8178a08e90 |
completed | March 22, 2026, 5:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e349d0088190be108aa266d3af82 |
completed | March 23, 2026, 6:52 a.m. |
Created at: March 22, 2026, 3:49 p.m.