Triple
T25063009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 上皇后美智子 |
E627708
|
entity |
| Predicate | 在位期間_上皇后 |
P158169
|
FINISHED |
| Object | 2019-05-01/ |
—
|
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: 2019-05-01/ | Statement: [上皇后美智子, 在位期間_上皇后, 2019-05-01/]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 在位期間_上皇后 Context triple: [上皇后美智子, 在位期間_上皇后, 2019-05-01/]
-
A.
在位期間_皇太子妃
Indicates the period during which a person held the status or role of crown princess (皇太子妃) while the crown prince was in office.
-
B.
monarchDuringReignAsEmpress
Indicates that the subject was the reigning monarch during the period in which she held the title of empress.
-
C.
reignAsEmpressDowagerDuring
Indicates that a person held and exercised the role and authority of an empress dowager during a specified time period or reign.
-
D.
successorAsEmpressDowager
Indicates that one individual becomes the next holder of the title and role of Empress Dowager after another individual.
-
E.
successorAsPrimaryEmpressDowager
Indicates that one individual becomes the next holder of the position of primary empress dowager after another, succeeding her in that specific senior imperial consort role.
- 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_69e2ff2c45f48190afa28369f1df6786 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cfb53f4819099bba48c5057e787 |
completed | May 1, 2026, 7:57 a.m. |
| PDg | Predicate description generation | batch_69f464ae42e88190b3549fdf4e0b425e |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 18, 2026, 6:10 a.m.