Triple
T7126950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ushijima Mitsuru |
E166086
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Mitsuru |
E104959
|
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: Mitsuru | Statement: [Ushijima Mitsuru, givenName, Mitsuru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mitsuru Context triple: [Ushijima Mitsuru, givenName, Mitsuru]
-
A.
Mitsuru
chosen
Mitsuru is a Japanese given name that can be used for people of any gender and is borne by various notable figures in sports, arts, and entertainment.
-
B.
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.
-
C.
Makoto
Makoto is a common Japanese given name used for people of any gender, often associated with sincerity or truth.
-
D.
Hatsuzuki
Hatsuzuki was an Imperial Japanese Navy Akizuki-class destroyer that saw action in World War II before being sunk during the Battle off Cape Engaño in 1944.
-
E.
Mamoru
Mamoru is a Japanese masculine given name commonly borne by notable figures in politics, arts, and entertainment.
- 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_69c6888350588190870cd552b427a1cd |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e64ee8ac81909ee1c7cb1db3af33 |
completed | March 27, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b8e0a06c819091b47dd41acb47b7 |
completed | March 28, 2026, 11:17 a.m. |
Created at: March 27, 2026, 2:44 p.m.