Triple
T17164973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eiji Tsuburaya |
E416584
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Eiji Tsuburaya |
E416584
|
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: Eiji Tsuburaya | Statement: [Eiji Tsuburaya, name, Eiji Tsuburaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eiji Tsuburaya Context triple: [Eiji Tsuburaya, name, Eiji Tsuburaya]
-
A.
Eiji Tsuburaya
chosen
Eiji Tsuburaya was a pioneering Japanese special effects director best known for shaping the visual style of kaiju films and co-creating the Ultraman franchise.
-
B.
Ishirō Honda
Ishirō Honda was a Japanese film director best known for pioneering the kaiju genre with classics like the original Godzilla and other iconic monster movies.
-
C.
Akira Ifukube
Akira Ifukube was a Japanese composer best known for his iconic film scores for the Godzilla series and other Toho kaiju movies.
-
D.
Keiji Shibazaki
Keiji Shibazaki was an Imperial Japanese Navy rear admiral who led the island’s defenses and was killed during the World War II Battle of Tarawa.
-
E.
Hideo Oguni
Hideo Oguni was a prominent Japanese screenwriter best known for his collaborations with director Akira Kurosawa on several classic films.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f914a0748190b2658edbe576ea2d |
completed | April 18, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c38b1ec819092a551e2683a4b93 |
completed | May 11, 2026, 7:58 a.m. |
Created at: April 10, 2026, 5:37 a.m.