Triple
T19425643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 父親たちの星条旗 |
E485972
|
entity |
| Predicate | 撮影フォーマット |
P86894
|
FINISHED |
| Object | 35mmフィルム |
—
|
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: 35mmフィルム | Statement: [父親たちの星条旗, 撮影フォーマット, 35mmフィルム]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 撮影フォーマット Context triple: [父親たちの星条旗, 撮影フォーマット, 35mmフィルム]
-
A.
sensorFormat
Indicates the data encoding or representation standard used by a sensor to output its measurements.
-
B.
projectionFormat
Indicates the specific technical format or method used to project visual content (such as film or digital media) onto a display surface.
-
C.
usesFilmFormat
chosen
Indicates that one entity employs or is recorded in a particular film format associated with the other entity.
-
D.
typicalPictureFormat
Indicates the standard or most commonly used picture format associated with an entity (such as a device, medium, or context).
-
E.
appearsInFilmFormat
Indicates that something is presented or occurs within a specific film format or medium of cinematic presentation.
- 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.