Triple
T7825939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hell Screen |
E181244
|
entity |
| Predicate | centralCharacter |
P9202
|
FINISHED |
| Object | Yoshihide |
E300552
|
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: Yoshihide | Statement: [Hell Screen, centralCharacter, Yoshihide]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yoshihide Context triple: [Hell Screen, centralCharacter, Yoshihide]
-
A.
Yoshihide
chosen
Yoshihide is a Japanese given name commonly used for males.
-
B.
Shinzo
Shinzo is the given name of Shinzo Abe, the former Prime Minister of Japan and a prominent modern Japanese political leader.
-
C.
Nobutaka
Nobutaka is a Japanese masculine given name commonly borne by politicians, athletes, and other public figures.
-
D.
Manriki
Manriki is a small village on the Pacific island of Nikunau in the Republic of Kiribati.
-
E.
Takeshita
Takeshita is a Japanese surname borne by various notable figures in politics, sports, 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_69ca8282ccec819083c48efb72d21cf9 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb04a6185481908462079bd2827642 |
completed | March 30, 2026, 11:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc9340c99c819085294de7466f40eb |
completed | April 1, 2026, 3:38 a.m. |
Created at: March 30, 2026, 4:43 p.m.