Triple
T17924923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George William Ross |
E448167
|
entity |
| Predicate | timeInOfficeAsMinisterOfEducation_start |
P21906
|
FINISHED |
| Object | 1883 |
—
|
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: 1883 | Statement: [George William Ross, timeInOfficeAsMinisterOfEducation_start, 1883]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeInOfficeAsMinisterOfEducation_start Context triple: [George William Ross, timeInOfficeAsMinisterOfEducation_start, 1883]
-
A.
termAsMinisterStart
Indicates the date or point in time when an individual begins serving in a specific ministerial position.
-
B.
termStartAsMinisterGeneral
Indicates the date or point in time when an individual begins serving in the role of Minister General.
-
C.
timeInOfficeBeginsIn
Indicates the point in time or date when an entity’s term, tenure, or period in office starts.
-
D.
officeStartForMinisterOfEducation
chosen
Indicates the date or point in time when a person begins serving as the Minister of Education.
-
E.
educationMinister
Indicates that one entity serves as the education minister (or holds the ministerial role responsible for education) in relation to another entity, typically a government or jurisdiction.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a54cf8188190b9bd676443418c23 |
completed | April 19, 2026, 9:50 a.m. |
| PD | Predicate disambiguation | batch_69e3f8e713d481908b4a126258c18b63 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:20 a.m.