Triple
T35555071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pietro Aldobrandini |
E1027470
|
entity |
| Predicate | startTimeAsArchbishopOfRavenna |
P202427
|
FINISHED |
| Object | 1604 |
—
|
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: 1604 | Statement: [Pietro Aldobrandini, startTimeAsArchbishopOfRavenna, 1604]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeAsArchbishopOfRavenna Context triple: [Pietro Aldobrandini, startTimeAsArchbishopOfRavenna, 1604]
-
A.
startTimeAsArchbishopOfMilan
Indicates the date and time when an individual began serving as Archbishop of Milan.
-
B.
startTimeAsArchbishopOfReims
Indicates the date and time when an individual began their tenure serving as Archbishop of Reims.
-
C.
startTimeAsArchbishopOfCologne
Indicates the date and time when an individual began serving in the role of Archbishop of Cologne.
-
D.
startTimeAsArchbishopOfBoston
Indicates the date and time when an individual began serving in the role of Archbishop of Boston.
-
E.
startTimeAsArchbishopOfCanterbury
Indicates the date and time when an individual began serving as Archbishop of Canterbury.
- 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_69f76e014fd481909e9f04ac603a2aa9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a007ef69f5c8190be6fb89e918d30fa |
completed | May 10, 2026, 12:49 p.m. |
| PD | Predicate disambiguation | batch_6a007e4060448190ad7420b07c1fe219 |
completed | May 10, 2026, 12:46 p.m. |
| PDg | Predicate description generation | batch_6a007ef5f05c8190a2d43e4bc45fba3f |
completed | May 10, 2026, 12:49 p.m. |
Created at: May 3, 2026, 4:04 p.m.