Triple
T29109259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard B. Hubbard |
E736848
|
entity |
| Predicate | termStartAsUnitedStatesMinisterToJapan |
P169299
|
FINISHED |
| Object | 1885 |
—
|
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: 1885 | Statement: [Richard B. Hubbard, termStartAsUnitedStatesMinisterToJapan, 1885]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termStartAsUnitedStatesMinisterToJapan Context triple: [Richard B. Hubbard, termStartAsUnitedStatesMinisterToJapan, 1885]
-
A.
termEndAsUnitedStatesMinisterToJapan
Indicates the point in time when an individual's service as United States Minister to Japan comes to an end.
-
B.
termAsForeignMinisterStart
Indicates the date or point in time when an individual begins serving in the role of foreign minister.
-
C.
succeededByAsAmbassadorToJapan
Indicates that one person directly followed another in the role of ambassador to Japan.
-
D.
termStartAsUnderSecretaryOfStateForForeignAffairs
Indicates the date or period when someone began serving as Under Secretary of State for Foreign Affairs.
-
E.
precededByAsAmbassadorToJapan
Indicates that one entity previously served as ambassador to Japan before another entity did.
- F. None of above. chosen
Provenance (4 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_69f077ec765c81909474c88bcc8bab43 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f67de7792c81909b5e4e812d143624 |
completed | May 2, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67d31cc60819084f64bd056e1ea4d |
completed | May 2, 2026, 10:39 p.m. |
Created at: April 28, 2026, 11:17 a.m.