Triple
T24288061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matsudaira Motoyasu |
E605729
|
entity |
| Predicate | usedCourtesyTitle |
P108750
|
FINISHED |
| Object | Mikawa-no-kami |
—
|
NE NERFINISHED |
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: Mikawa-no-kami | Statement: [Matsudaira Motoyasu, usedCourtesyTitle, Mikawa-no-kami]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedCourtesyTitle Context triple: [Matsudaira Motoyasu, usedCourtesyTitle, Mikawa-no-kami]
-
A.
usedAsCourtesyTitleWithin
Indicates that a term or title is employed as a polite or honorific form of address within a particular context, culture, or setting.
-
B.
usedAsCourtesyTitleFor
Indicates that one entity serves as a courtesy title or honorific form of address applied to another entity.
-
C.
heldCourtesyTitle
chosen
Indicates that an entity temporarily bore or used an honorary or courtesy title without holding the substantive rank or office associated with it.
-
D.
usedTitleIn
Indicates that one entity employed or referenced another entity as a title in some context.
-
E.
usedTitleFrom
Indicates that one entity has employed or adopted the title originating from another 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_69e295480d0c8190846fc3c2e2da1d4c |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28f57a9a08190b183879ff76071d0 |
completed | April 29, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69f1c457a2908190993824395b3c365d |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:08 a.m.