Triple
T21978481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles I, Duke of Brunswick-Wolfenbüttel |
E542770
|
entity |
| Predicate | typeOfReformer |
P98268
|
FINISHED |
| Object | administrative reformer |
—
|
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: administrative reformer | Statement: [Charles I, Duke of Brunswick-Wolfenbüttel, typeOfReformer, administrative reformer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfReformer Context triple: [Charles I, Duke of Brunswick-Wolfenbüttel, typeOfReformer, administrative reformer]
-
A.
reformerOf
Indicates that one entity is the person or agent who initiated or carried out significant reforms or changes to another entity.
-
B.
typeOfReforms
chosen
Indicates the specific kinds or categories of reforms associated with an entity or situation.
-
C.
isReformOriented
Indicates that an entity is oriented toward initiating, supporting, or implementing reforms or improvements within a system, policy, or practice.
-
D.
typeOfReformBody
Indicates that one entity is a reform body that is classified as a specific type or category of reform body represented by the other entity.
-
E.
subjectToReformBy
Indicates that an entity is undergoing or designated for changes, improvements, or restructuring carried out by another entity.
- 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1248a60708190a9aa8b9b7738c261 |
completed | April 28, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69e6f6154e408190acc5b2c278acaff4 |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:03 p.m.