Triple
T25835844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Wesley Davis |
E650792
|
entity |
| Predicate | officeStartAsMinisterToChina |
P174656
|
FINISHED |
| Object | 1848 |
—
|
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: 1848 | Statement: [John Wesley Davis, officeStartAsMinisterToChina, 1848]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStartAsMinisterToChina Context triple: [John Wesley Davis, officeStartAsMinisterToChina, 1848]
-
A.
officeStart (Chairman of State Council)
Indicates the date or point in time when an individual began serving as Chairman of the State Council.
-
B.
termAsForeignMinisterStart
Indicates the date or point in time when an individual begins serving in the role of foreign minister.
-
C.
officeStartAsMinisterOfNativeAffairs
Indicates the point in time when an individual begins serving in the role of Minister of Native Affairs.
-
D.
termStartAsUnitedStatesMinisterToJapan
Indicates the date or event when an individual began serving in the role of United States Minister to Japan.
-
E.
officeStartForGovernorOfTaiwanProvince
Indicates the date on which an individual begins their term of office as the Governor of Taiwan Province.
- 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_69e7ab37438081908f1ccf6284839520 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6c5b7e46081909975b05f7298cc0e |
completed | May 3, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c49069e48190a3486b6254a6645b |
completed | May 3, 2026, 3:44 a.m. |
Created at: April 22, 2026, 7:41 a.m.