Triple
T10600950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hitoshi |
E275744
|
entity |
| Predicate | canBeWrittenAs |
P12679
|
FINISHED |
| Object | ヒトシ |
E275744
|
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: ヒトシ | Statement: [Hitoshi, canBeWrittenAs, ヒトシ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ヒトシ Context triple: [Hitoshi, canBeWrittenAs, ヒトシ]
-
A.
Hitoshi
chosen
Hitoshi is a Japanese given name commonly used for males.
-
B.
Hiroshi
Hiroshi is a Japanese given name commonly used for males and borne by numerous notable figures in fields such as art, politics, and entertainment.
-
C.
Shigeo
Shigeo is a Japanese given name commonly used for males.
-
D.
ヒデキ
ヒデキ is a common Japanese male given name, often written in katakana and associated with various public figures and entertainers in Japan.
-
E.
Hisashi
Hisashi is a Japanese masculine given name borne by various notable individuals in fields such as law, politics, sports, and the arts.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6ded52f288190b40288d0acbe009b |
completed | April 8, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95ea8f1688190aa36e29b52667d26 |
completed | April 10, 2026, 8:33 p.m. |
Created at: April 8, 2026, 7:31 p.m.