Triple
T22363311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 硫黄島からの手紙 |
E552833
|
entity |
| Predicate | 関連作品 |
P50867
|
FINISHED |
| Object | 父親たちの星条旗 |
—
|
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: 父親たちの星条旗 | Statement: [硫黄島からの手紙, 関連作品, 父親たちの星条旗]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 父親たちの星条旗 Context triple: [硫黄島からの手紙, 関連作品, 父親たちの星条旗]
-
A.
父親たちの星条旗
chosen
『父親たちの星条旗』は、クリント・イーストウッド監督による、硫黄島での星条旗掲揚写真の裏側とそれに翻弄される米兵たちを描いた戦争ドラマ映画である。
-
B.
Follow the Flag
Follow the Flag was the well-known promotional slogan and motto of the Wabash Railroad, symbolizing its brand identity and service.
-
C.
La Cuna de la Bandera
La Cuna de la Bandera is the Spanish nickname for the Argentine city of Rosario, highlighting its historic role as the birthplace of the national flag.
-
D.
Star-Spangled Kid
Star-Spangled Kid is a patriotic-themed DC Comics superhero identity used by multiple characters, most notably Sylvester Pemberton and later Courtney Whitmore, associated with teams like the Justice Society of America.
-
E.
The Little American
The Little American is a 1917 silent World War I drama film directed by Cecil B. DeMille and starring Mary Pickford as an American woman caught between warring nations.
- 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_69e11e4affcc8190ba7c27d29062558d |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157d616748190921bd49039b7f6fc |
completed | April 29, 2026, 12:59 a.m. |
Created at: April 16, 2026, 8:44 p.m.