Triple
T2350899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunshine |
E47444
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Hiroyuki Sanada |
E87526
|
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: Hiroyuki Sanada | Statement: [Sunshine, castMember, Hiroyuki Sanada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hiroyuki Sanada Context triple: [Sunshine, castMember, Hiroyuki Sanada]
-
A.
Hiroyuki Sanada
chosen
Hiroyuki Sanada is a Japanese actor renowned for his versatile performances in both Japanese cinema and international films and television series.
-
B.
Masaharu
Masaharu is a Japanese masculine given name that can be written with various kanji combinations and is borne by several notable figures in Japanese history and culture.
-
C.
Yasuhiro
Yasuhiro is a Japanese masculine given name borne by various notable figures in politics, sports, and entertainment.
-
D.
Yoshitsugu Saito
Yoshitsugu Saitō was an Imperial Japanese Army lieutenant general best known for leading Japan’s doomed defense of Saipan during World War II and dying in the battle.
-
E.
Itagaki Taisuke
Itagaki Taisuke was a leading 19th-century Japanese politician and liberal activist who championed constitutional government and civil rights during the Meiji era.
- 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc6f75d888190a2e41edaa532e83f |
completed | March 7, 2026, 6:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea884ac4c8190b484db995251c136 |
completed | March 9, 2026, 11:01 a.m. |
Created at: March 4, 2026, 7:54 p.m.