Triple
T3575237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Model of Christian Charity |
E75670
|
entity |
| Predicate | yearFirstDelivered |
P50676
|
FINISHED |
| Object | 1630 |
—
|
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: 1630 | Statement: [A Model of Christian Charity, yearFirstDelivered, 1630]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearFirstDelivered Context triple: [A Model of Christian Charity, yearFirstDelivered, 1630]
-
A.
yearOfManufacture
Indicates the specific calendar year in which an item was produced or manufactured.
-
B.
lastAppearanceYear
Indicates the calendar year in which an entity made its most recent appearance.
-
C.
demonstrationYear
Indicates the year in which a demonstration, display, or public showing of something took place.
-
D.
destructionYear
Indicates the year in which an entity was destroyed or ceased to exist due to destructive events or actions.
-
E.
incorporationYear
Indicates the calendar year in which an organization or entity was formally incorporated or legally established.
- 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_69ad85d5e3008190bdfe0bacdd1f5a1b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0da77008190922f414b85b9cad4 |
completed | March 8, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69adb8364d848190a96a9bc7a6126af2 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adba25c66c81909a05a97327828c41 |
completed | March 8, 2026, 6:04 p.m. |
Created at: March 8, 2026, 3:21 p.m.