Triple
T17436874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Wonderful Sunday |
E424021
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Chieko Nakakita |
—
|
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: Chieko Nakakita | Statement: [One Wonderful Sunday, stars, Chieko Nakakita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chieko Nakakita Context triple: [One Wonderful Sunday, stars, Chieko Nakakita]
-
A.
Chieko Nakakita
chosen
Chieko Nakakita was a Japanese actress known for her roles in mid-20th-century Japanese cinema, including collaborations with prominent directors such as Akira Kurosawa.
-
B.
Shoko Nakagawa
Shoko Nakagawa is a Japanese singer, voice actress, and television personality known for her prominent work in anime music and otaku culture.
-
C.
Chieko Mori
Chieko Mori is a Japanese woman best known as the wife of former Prime Minister Yoshirō Mori.
-
D.
Takako Tanaka
Takako Tanaka is a Japanese given name bearer, likely a woman of Japanese origin, sharing the common female name "Takako" and the widespread surname "Tanaka."
-
E.
Reiko Kaneko
Reiko Kaneko is a Japanese film editor known for her work on classic kaiju films, including the 1962 crossover "King Kong vs. Godzilla."
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4490426008190b474ed76aca5d6f3 |
completed | April 19, 2026, 3:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.