Triple
T27439082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okinori Kaya |
E690873
|
entity |
| Predicate | wasMinisterUnder |
P32928
|
FINISHED |
| Object | Hideki Tōjō |
—
|
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: Hideki Tōjō | Statement: [Okinori Kaya, wasMinisterUnder, Hideki Tōjō]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasMinisterUnder Context triple: [Okinori Kaya, wasMinisterUnder, Hideki Tōjō]
-
A.
hasMinister
Indicates that one entity serves as the minister (political, religious, or administrative official) responsible for or associated with another entity.
-
B.
hadMinisterialPost
Indicates that an entity has held or occupied a ministerial government position or office.
-
C.
servedUnderPrimeMinister
chosen
Indicates that one person held a governmental or official position subordinate to, and during the tenure of, a particular prime minister.
-
D.
ministerIs
Indicates that one entity serves in the role or capacity of a minister in relation to another entity.
-
E.
hadFinanceMinister
Indicates that a country or governing body was served by a specific individual in the role of finance minister.
- 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_69ef5200fa0481908e28508d6e2c149e |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f62d8c1af8819097dd3c1bf6704ddd |
completed | May 2, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 12:44 p.m.