Triple
T22363312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 硫黄島からの手紙 |
E552833
|
entity |
| Predicate | 構成上の特徴 |
P52407
|
FINISHED |
| Object | 日本語で制作されたハリウッド映画 |
—
|
LITERAL FINISHED |
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: 日本語で制作されたハリウッド映画 | Statement: [硫黄島からの手紙, 構成上の特徴, 日本語で制作されたハリウッド映画]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 構成上の特徴 Context triple: [硫黄島からの手紙, 構成上の特徴, 日本語で制作されたハリウッド映画]
-
A.
conformationFeature
Indicates a structural or spatial characteristic that defines the three-dimensional conformation or shape of an entity.
-
B.
compositionalFeature
chosen
Indicates that one entity is a structural or constituent feature that forms part of the composition or makeup of another entity.
-
C.
constructionCharacteristic
Indicates a specific structural or material property that characterizes how something is built or constructed.
-
D.
constructs
Indicates that an agent builds, creates, or assembles something, typically resulting in a new or more complex entity or structure.
-
E.
designedFeature
Indicates that one entity is a feature or component intentionally planned, created, or specified by another entity as part of a design.
- F. None of above.
Provenance (3 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. |
| PD | Predicate disambiguation | batch_69e73011e6388190a05edf137f488441 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:44 p.m.