Triple
T22440115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 香淳皇后 |
E554731
|
entity |
| Predicate | 義母 |
P139734
|
FINISHED |
| Object | 貞明皇后 |
—
|
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: 貞明皇后 | Statement: [香淳皇后, 義母, 貞明皇后]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 義母 Context triple: [香淳皇后, 義母, 貞明皇后]
-
A.
母体
Indicates that one entity serves as the originating or containing source (a “mother body”) from which another entity is derived, nurtured, or generated.
-
B.
義理の息子
Indicates a relationship where someone is another person's son-in-law or stepson, i.e., a son by marriage or through a non-biological parental tie.
-
C.
isMaternalFigureOf
chosen
Indicates a nurturing, protective, and guiding parental-like relationship that one individual has toward another, typically in a motherly role.
-
D.
perpetratorMother
Indicates that one entity is the mother of the person who committed the referenced act or offense.
-
E.
isMotherOf
Indicates that one entity is the female parent who has given birth to or legally/ socially parents the other entity.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ae0edcc8190919b198035de0df2 |
completed | April 29, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69e898a327948190beee5e168006a0a7 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:47 p.m.