Triple
T20341332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | siege of Fort Pitt |
E495746
|
entity |
| Predicate | relatedCorrespondence |
P139756
|
FINISHED |
| Object | letters between Jeffrey Amherst and Henry Bouquet discussing smallpox |
—
|
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: letters between Jeffrey Amherst and Henry Bouquet discussing smallpox | Statement: [siege of Fort Pitt, relatedCorrespondence, letters between Jeffrey Amherst and Henry Bouquet discussing smallpox]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedCorrespondence Context triple: [siege of Fort Pitt, relatedCorrespondence, letters between Jeffrey Amherst and Henry Bouquet discussing smallpox]
-
A.
relatedLetter
Indicates that one letter has a specified connection or association to another letter.
-
B.
relatedPass
Indicates that one pass is associated with or connected to another pass in some relevant way.
-
C.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
-
D.
relatedTo
Indicates a general, non-specific relationship or association exists between two entities.
-
E.
relatedForm
Indicates that one entity is an alternative or variant form of another, such as a different spelling, inflection, or closely related lexical form.
- 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_69e0b4a3320881909495ae8bc30bc2dc |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67835f6e881908834dda06cf66c50 |
completed | April 20, 2026, 7:02 p.m. |
| PD | Predicate disambiguation | batch_69e57636b4808190bc2855af48a3ccdc |
completed | April 20, 2026, 12:41 a.m. |
| PDg | Predicate description generation | batch_69e58d7481508190a87c8b88f9df9879 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:23 a.m.