Triple
T26780176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 九条節子 |
E670224
|
entity |
| Predicate | フィクションの時代背景 |
P18945
|
FINISHED |
| Object | 20世紀末の日本 |
—
|
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: 20世紀末の日本 | Statement: [九条節子, フィクションの時代背景, 20世紀末の日本]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: フィクションの時代背景 Context triple: [九条節子, フィクションの時代背景, 20世紀末の日本]
-
A.
fictionalEra
chosen
Indicates the time period or age within a fictional or imaginary setting in which an entity exists or an event occurs.
-
B.
fictionalTime
Indicates that the associated time or temporal reference exists only within a fictional or imagined context, rather than in real-world chronology.
-
C.
fictionalHistoryFeature
Indicates a relationship where something is a notable element or aspect within the fictional history or backstory of another entity.
-
D.
fictionalAge
Indicates the age attributed to an entity within a fictional or narrative context, rather than its real-world age.
-
E.
fictionalTimeDepth
Indicates a relationship where an entity is associated with a time period or temporal depth that exists only within a fictional or imagined context.
- 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_69eeb31c925881909b597f6e40056d28 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f619795b208190b039e396ab4629b2 |
completed | May 2, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 4:08 a.m.