Triple
T19425630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 父親たちの星条旗 |
E485972
|
entity |
| Predicate | 時代設定 |
P93599
|
FINISHED |
| Object | 第二次世界大戦 |
—
|
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: 第二次世界大戦 | Statement: [父親たちの星条旗, 時代設定, 第二次世界大戦]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 時代設定 Context triple: [父親たちの星条旗, 時代設定, 第二次世界大戦]
-
A.
時代
Indicates a temporal relationship where something belongs to, occurs in, or is characteristic of a particular era or period in time.
-
B.
settingDepictedPeriod
chosen
Indicates the historical or temporal period in which the setting of something (e.g., a work or scene) is depicted.
-
C.
fictionalEra
Indicates the time period or age within a fictional or imaginary setting in which an entity exists or an event occurs.
-
D.
historicalSettingOfFilm
Indicates that a particular historical period, event, or context serves as the setting in which a film’s story takes place.
-
E.
historical era
Indicates the broad historical period or epoch during which an entity, event, or phenomenon took place or is associated.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63218772c8190a48b6cb01bd12b73 |
completed | April 20, 2026, 2:03 p.m. |
| PD | Predicate disambiguation | batch_69e4fd68b1f881908d273de1fee81a75 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:37 p.m.