Triple
T13455763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kō Shibasaki |
E311227
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Kō Shibasaki |
E311227
|
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: Kō Shibasaki | Statement: [Kō Shibasaki, name, Kō Shibasaki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kō Shibasaki Context triple: [Kō Shibasaki, name, Kō Shibasaki]
-
A.
Kō Shibasaki
chosen
Kō Shibasaki is a Japanese actress and singer known for prominent roles in films such as "Battle Royale," "One Missed Call," and various high-profile Japanese dramas.
-
B.
Masakatsu Shibasaki
Masakatsu Shibasaki is a Japanese chemist renowned for his pioneering work in asymmetric catalysis and the development of chiral ligands used in enantioselective synthesis.
-
C.
Koji Sekimizu
Koji Sekimizu is a Japanese maritime administrator who served as Secretary-General of the International Maritime Organization, leading global efforts on shipping safety, security, and environmental standards.
-
D.
Kenji Shimizu
Kenji Shimizu was an Imperial Japanese Army officer who served as a senior commander before and during World War II.
-
E.
Kazuyoshi
Kazuyoshi is a Japanese masculine given name borne by various notable individuals, including athletes and entertainers.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaefc52448190b30d7999f44a9765 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7399e33008190b10c14f30ff0c0d2 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:41 p.m.