Triple
T36278763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 橋本忍 |
E892878
|
entity |
| Predicate | 関連する文化圏 |
P1968
|
FINISHED |
| Object | 日本映画界 |
—
|
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: 日本映画界 | Statement: [橋本忍, 関連する文化圏, 日本映画界]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 関連する文化圏 Context triple: [橋本忍, 関連する文化圏, 日本映画界]
-
A.
isCulturalAreaFor
Indicates that one entity serves as a designated cultural area or space intended for the cultural activities, practices, or identity of another entity.
-
B.
culturalRegion
chosen
Indicates that an entity is located in, associated with, or belongs to a specific cultural region or cultural area.
-
C.
culturalAreaIncludes
Indicates that a broader cultural area encompasses or contains a smaller cultural region or entity within its scope.
-
D.
namedForCulturalRegion
Indicates that something is given a name derived from or honoring a specific cultural region.
-
E.
isCulturalArea
Indicates that a given area is recognized or designated as a cultural region, characterized by shared cultural traits, practices, or heritage.
- 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_69f76e488f34819083e254dbe288c27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7ba6d06f48190a71b5a2f19e2232f |
completed | May 3, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.