Triple
T21090396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mie Hama |
E519621
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | Toho Company, Ltd. |
—
|
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 Company, Ltd. | Statement: [Mie Hama, workedWith, Toho Company, Ltd.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toho Company, Ltd. Context triple: [Mie Hama, workedWith, Toho Company, Ltd.]
-
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.
Tsuburaya Productions
Tsuburaya Productions is a Japanese film and television production company best known for creating the Ultraman franchise and pioneering special effects in tokusatsu entertainment.
-
E.
Daiei Film
Daiei Film was a major Japanese film studio best known for producing classic kaiju and genre films, including the Gamera series.
- 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7094ea7f881909db83bf6961b41ec |
completed | April 21, 2026, 5:21 a.m. |
Created at: April 16, 2026, 2:50 p.m.