Triple
T4766458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 池田勇人 |
E105823
|
entity |
| Predicate | 没年 |
P59192
|
FINISHED |
| Object | 1965年 |
—
|
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: 1965年 | Statement: [池田勇人, 没年, 1965年]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 没年 Context triple: [池田勇人, 没年, 1965年]
-
A.
doesNotIncludeYear
Indicates that something is specified or presented without including a year component.
-
B.
hasNumberInYear
Indicates that a specific number is associated with or occurs within a given year.
-
C.
yearTurned
Indicates the specific year in which an entity changed state, status, or classification (e.g., when it became, reached, or turned into something).
-
D.
hasTypeOfYear
Indicates that a given year is classified as belonging to a specific type or category of year (e.g., fiscal, academic, leap).
-
E.
youthYears
Indicates the period of time during which an individual spent their youth, typically associated with early development or formative years, often in relation to an organization, activity, or place.
- F. None of above. chosen
Provenance (4 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_69bd43f226fc8190b867cc249c2a9042 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd686ef1b08190ad60375592c9d6c0 |
completed | March 20, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69bd622807f881908e4bcb14f7731bac |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd686dc7b88190b41e8a362701080d |
completed | March 20, 2026, 3:31 p.m. |
Created at: March 20, 2026, 1:21 p.m.