Triple
T7832984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cardinal of Lorraine |
E181619
|
entity |
| Predicate | startTimeAsArchbishopOfReims |
P79266
|
FINISHED |
| Object | 1538 |
—
|
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: 1538 | Statement: [Cardinal of Lorraine, startTimeAsArchbishopOfReims, 1538]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeAsArchbishopOfReims Context triple: [Cardinal of Lorraine, startTimeAsArchbishopOfReims, 1538]
-
A.
startTimeAsArchbishopOfMilan
Indicates the date and time when an individual began serving as Archbishop of Milan.
-
B.
startTimeAsArchbishopOfCanterbury
Indicates the date and time when an individual began serving as Archbishop of Canterbury.
-
C.
startTimeAsArchbishopOfNewYork
Indicates the date and time when an individual began serving in the role of Archbishop of New York.
-
D.
startTimeAsArchbishopOfBoston
Indicates the date and time when an individual began serving in the role of Archbishop of Boston.
-
E.
currentArchbishopStartYear
Indicates the calendar year in which the current archbishop began serving in that role.
- 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_69ca8284a25c8190a1a20afad30da792 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb0648bb308190a34fbcd81ff6fda2 |
completed | March 30, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69cae91e98988190abd4ece75932c589 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7855a3c81908b9318f7186fc0c0 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:45 p.m.