Triple
T19544175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toshirō Mifune |
E488993
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Toho Studios |
—
|
NE NERFINISHED |
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: Toho Studios | Statement: [Toshirō Mifune, employer, Toho Studios]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toho Studios Context triple: [Toshirō Mifune, employer, Toho Studios]
-
A.
Toho
chosen
Toho is a major Japanese film production and distribution company best known worldwide for creating and owning the Godzilla franchise.
-
B.
Tōei
Tōei is a small rural town in eastern Aichi Prefecture, Japan, known for its mountainous terrain and traditional hot spring and forestry industries.
-
C.
Toei
Toei is the public transportation operator run by the Tokyo Metropolitan Government, managing subway lines, buses, and other transit services in Tokyo.
-
D.
Daiei Film
Daiei Film was a major Japanese film studio best known for producing classic kaiju and genre films, including the Gamera series.
-
E.
Shochiku
Shochiku is a major Japanese film and theater production and distribution company, historically known for its influential role in the development of Japanese cinema.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63875cf40819088db7c7969be1e3d |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 10, 2026, 1:41 p.m.