Triple
T20947975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim Ki-young |
E515899
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | The Sea Knows (1961 film) |
—
|
NE NERFINISHED |
How this triple was built (3 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: The Sea Knows (1961 film) | Statement: [Kim Ki-young, workedOn, The Sea Knows (1961 film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Sea Knows (1961 film) Context triple: [Kim Ki-young, workedOn, The Sea Knows (1961 film)]
-
A.
The Sea (film adaptation)
The Sea is a film adaptation of John Banville’s Booker Prize–winning novel, a reflective drama about grief and memory centered on a man returning to a seaside town from his childhood.
-
B.
Young Woman and the Sea (film)
Young Woman and the Sea is a biographical sports drama film starring Daisy Ridley as pioneering swimmer Gertrude Ederle, the first woman to swim across the English Channel.
-
C.
China Seas (1935)
China Seas (1935) is a Metro-Goldwyn-Mayer adventure film starring Clark Gable and Jean Harlow, known for its high-seas action, romance, and big-budget production typical of Hollywood’s Golden Age.
-
D.
South Korean film Il Mare
South Korean film Il Mare is a 2000 romantic fantasy drama about two people living in different times who communicate through letters left in a mysterious seaside mailbox.
-
E.
Forbidden Sun
Forbidden Sun is a lesser-known 1989 British thriller film set at a Greek gymnastics camp, featuring Persis Khambatta in a prominent role.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Sea Knows (1961 film) Target entity description: The Sea Knows is a 1961 South Korean war drama film by director Kim Ki-young, depicting the brutal experiences of a Korean man conscripted into the Japanese army during World War II.
-
A.
The Sea (film adaptation)
The Sea is a film adaptation of John Banville’s Booker Prize–winning novel, a reflective drama about grief and memory centered on a man returning to a seaside town from his childhood.
-
B.
Young Woman and the Sea (film)
Young Woman and the Sea is a biographical sports drama film starring Daisy Ridley as pioneering swimmer Gertrude Ederle, the first woman to swim across the English Channel.
-
C.
China Seas (1935)
China Seas (1935) is a Metro-Goldwyn-Mayer adventure film starring Clark Gable and Jean Harlow, known for its high-seas action, romance, and big-budget production typical of Hollywood’s Golden Age.
-
D.
South Korean film Il Mare
South Korean film Il Mare is a 2000 romantic fantasy drama about two people living in different times who communicate through letters left in a mysterious seaside mailbox.
-
E.
Forbidden Sun
Forbidden Sun is a lesser-known 1989 British thriller film set at a Greek gymnastics camp, featuring Persis Khambatta in a prominent role.
- F. None of above. chosen
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_69e0b4fcd678819087a304291f14330a |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fadab7708190bb3a10bdd3f32d90 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 12:58 p.m.