Triple
T31045298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hara Kei |
E791107
|
entity |
| Predicate | succeededBy (Prime Minister of Japan) |
P5586
|
FINISHED |
| Object | Takahashi Korekiyo |
—
|
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: Takahashi Korekiyo | Statement: [Hara Kei, succeededBy (Prime Minister of Japan), Takahashi Korekiyo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: succeededBy (Prime Minister of Japan) Context triple: [Hara Kei, succeededBy (Prime Minister of Japan), Takahashi Korekiyo]
-
A.
succeededByPrimeMinister
chosen
Indicates that one prime minister directly follows another in office as their immediate successor.
-
B.
successorAsFirstMinister
Indicates that one person assumes the role of First Minister immediately after another person, succeeding them in that office.
-
C.
succeededByAsChiefMinister
Indicates that one individual directly followed another in the role of Chief Minister.
-
D.
precededBy (as Prime Minister)
Indicates that one person previously held the office of Prime Minister before another person.
-
E.
predecessorAsPrimeMinister
Indicates that one person previously held the office of Prime Minister immediately before another person.
- 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_69f224ca2fa881908a3ac5fedf207b90 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fecb4d02f881909a9ee97ce98000d5 |
completed | May 9, 2026, 5:51 a.m. |
| PD | Predicate disambiguation | batch_69fec9846c1c8190b317f0711f0755db |
completed | May 9, 2026, 5:43 a.m. |
Created at: April 29, 2026, 8:59 p.m.