Triple
T16990205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Twilight Samurai |
E412173
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Shochiku |
E747494
|
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: Shochiku | Statement: [The Twilight Samurai, productionCompany, Shochiku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shochiku Context triple: [The Twilight Samurai, productionCompany, Shochiku]
-
A.
Shochiku
chosen
Shochiku is a major Japanese film and theater production and distribution company, historically known for its influential role in the development of Japanese cinema.
-
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.
Daiei Film
Daiei Film was a major Japanese film studio best known for producing classic kaiju and genre films, including the Gamera series.
-
D.
Nippon Herald Films
Nippon Herald Films was a Japanese film production and distribution company known for handling both domestic and international titles, including influential works by major directors.
-
E.
Toei
Toei is the public transportation operator run by the Tokyo Metropolitan Government, managing subway lines, buses, and other transit services in Tokyo.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d27fbaa0819099f79fc74d211647 |
completed | April 18, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180c181b08190a6e8912f4e1da6a0 |
completed | May 11, 2026, 7:09 a.m. |
Created at: April 10, 2026, 5:32 a.m.