Triple
T18731307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Farewell (2019 film) |
E458040
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Aoi Mizuhara |
—
|
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: Aoi Mizuhara | Statement: [The Farewell (2019 film), stars, Aoi Mizuhara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aoi Mizuhara Context triple: [The Farewell (2019 film), stars, Aoi Mizuhara]
-
A.
Aoi Mizuhara
chosen
Aoi Mizuhara is an actress known for her role in the acclaimed family drama film "The Farewell."
-
B.
Yuhi Sekiguchi
Yuhi Sekiguchi is a Japanese professional racing driver best known for competing in top-level series such as Super GT and Super Formula, often representing Toyota.
-
C.
Takako Shirai
Takako Shirai is a Japanese singer-songwriter known for her work in pop and rock music since the late 1970s.
-
D.
Honoka Kousaka
Honoka Kousaka is an energetic and optimistic high school girl who becomes the central heroine of Love Live! School Idol Project and the founding leader of the idol group μ's.
-
E.
Aoi Minase
Aoi Minase is the determined yet initially aimless protagonist of the visual novel "If My Heart Had Wings," whose journey centers on rebuilding a glider club and rediscovering his dreams.
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d7854748190b66c4aaadfd67f29 |
completed | April 20, 2026, 12:04 a.m. |
Created at: April 10, 2026, 11:51 a.m.