Triple
T22767114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sixteen Candles |
E563155
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object | Gedde Watanabe |
—
|
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: Gedde Watanabe | Statement: [Sixteen Candles, starredActor, Gedde Watanabe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gedde Watanabe Context triple: [Sixteen Candles, starredActor, Gedde Watanabe]
-
A.
Gedde Watanabe
chosen
Gedde Watanabe is an American character actor and comedian best known for his roles in films like "Sixteen Candles" and for voicing Ling in Disney's "Mulan."
-
B.
Takeshi Watanabe
Takeshi Watanabe was a Japanese banker and international civil servant best known for serving as the inaugural president of the Asian Development Bank, helping shape its early development and policies.
-
C.
Shinichirō Watanabe
Shinichirō Watanabe is a renowned Japanese anime director best known for creating the influential series Cowboy Bebop and Samurai Champloo.
-
D.
Yoshitami Kuroiwa
Yoshitami Kuroiwa is a Japanese film editor best known for his work on the 1984 kaiju movie "The Return of Godzilla."
-
E.
Tetsuya Watanabe
Tetsuya Watanabe is a Japanese professional shogi player known for competing at the highest levels of Japan’s traditional board game.
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a80e2688190b76844c408929d32 |
completed | April 29, 2026, 3:26 a.m. |
Created at: April 17, 2026, 3:27 p.m.