Triple
T22580805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 麻生太郎 |
E544560
|
entity |
| Predicate | hasBaptismalName |
P26692
|
FINISHED |
| Object | フランシスコ（麻生太郎の洗礼名） |
—
|
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: フランシスコ（麻生太郎の洗礼名） | Statement: [麻生太郎, hasBaptismalName, フランシスコ（麻生太郎の洗礼名）]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBaptismalName Context triple: [麻生太郎, hasBaptismalName, フランシスコ（麻生太郎の洗礼名）]
-
A.
baptismName
chosen
Indicates the name an individual receives or uses specifically in the context of a baptism ceremony.
-
B.
hasBaptismalFont
Indicates that a place or structure contains or is equipped with a baptismal font used for performing baptisms.
-
C.
hasReligiousName
Indicates that an entity possesses a name specifically associated with a religious context, role, or tradition.
-
D.
baptized
Indicates that one entity performed or underwent the religious rite of baptism in relation to another entity or context.
-
E.
baptismDate
Indicates the date on which an entity underwent or received the rite of baptism.
- 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15ff065308190bca9fb24b47757e6 |
completed | April 29, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69ee626e6bb08190ada4dd8b48cc0c43 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:53 p.m.