Triple
T9717614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayako Wakao |
E235381
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Daiei Film |
E440878
|
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: Daiei Film | Statement: [Ayako Wakao, employer, Daiei Film]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daiei Film Context triple: [Ayako Wakao, employer, Daiei Film]
-
A.
Daiei Film
chosen
Daiei Film was a major Japanese film studio best known for producing classic kaiju and genre films, including the Gamera series.
-
B.
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.
-
C.
Ruby Films
Ruby Films is a British film and television production company known for producing high-quality period dramas and literary adaptations.
-
D.
Toho
Toho is a major Japanese film production and distribution company best known worldwide for creating and owning the Godzilla franchise.
-
E.
Daiei
Daiei is a Japanese retail corporation that formerly owned the professional baseball team now known as the Fukuoka SoftBank Hawks.
- 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_69ca84d0123c819096f9dc3b6abb0881 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e3d75e08190b4d86363595bd40d |
completed | April 1, 2026, 10:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f986f48819090376fb5aafb3da2 |
completed | April 4, 2026, 11:32 p.m. |
Created at: March 30, 2026, 8:20 p.m.