Triple
T15524909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masahiro Tanaka |
E369057
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Masahiro |
E1150513
|
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: Masahiro | Statement: [Masahiro Tanaka, givenName, Masahiro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Masahiro Context triple: [Masahiro Tanaka, givenName, Masahiro]
-
A.
Masahiro
chosen
Masahiro is a Japanese given name commonly used for males and borne by various notable figures in entertainment, sports, and other fields.
-
B.
Masahito
Masahito is the personal name of Prince Hitachi, a member of the Japanese imperial family and younger brother of Emperor Emeritus Akihito.
-
C.
Takehiro
Takehiro is a central character in Ryūnosuke Akutagawa’s short story “In a Grove,” whose ambiguous fate is revealed through conflicting eyewitness testimonies.
-
D.
Kazuhiko
Kazuhiko is a Japanese given name commonly used for males.
-
E.
Takumi Hiroshi
Takumi Hiroshi was an Imperial Japanese Army officer who led forces during the Malayan Campaign of World War II, notably in the early stages of Japan’s advance toward Singapore.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e04145178481909fb0339a79d4239e |
completed | April 16, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4552a8dc819082cb6c31a2c05606 |
completed | May 9, 2026, 2:31 p.m. |
Created at: April 10, 2026, 4:05 a.m.