Triple
T24673866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ukita Hideie |
E610920
|
entity |
| Predicate | successorInOkayama |
P8308
|
FINISHED |
| Object | Ikeda clan |
—
|
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: Ikeda clan | Statement: [Ukita Hideie, successorInOkayama, Ikeda clan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorInOkayama Context triple: [Ukita Hideie, successorInOkayama, Ikeda clan]
-
A.
successorAsDaimyoOfHikone
Indicates that one entity became the next daimyō (feudal lord) of Hikone, directly succeeding another in that position.
-
B.
successorInJapan
Indicates that one entity directly follows or replaces another in a role, position, or sequence within the context of Japan.
-
C.
successorInJibal
Indicates that one entity directly follows another in a succession specific to the Jibal context (such as a sequence of rulers, offices, or positions in Jibal).
-
D.
successorInCity
chosen
Indicates that one entity directly follows or replaces another in holding a particular role, position, or function within the same city.
-
E.
successorAsDaijoDaijin
Indicates that one individual succeeded another in holding the position of Daijō-daijin (Chancellor of the Realm) in the Japanese imperial government.
- 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_69e2c4d5c2dc8190ac857dea25ec6ce9 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f422aee0408190899efe7e24ef2b40 |
completed | May 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f420e92cc88190a803aecdae78a051 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 2:53 a.m.