Triple
T4875183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juan Luis Cipriani Thorne |
E109183
|
entity |
| Predicate | endTimeAsArchbishopOfLima |
P60393
|
FINISHED |
| Object | 2019 |
—
|
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: 2019 | Statement: [Juan Luis Cipriani Thorne, endTimeAsArchbishopOfLima, 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeAsArchbishopOfLima Context triple: [Juan Luis Cipriani Thorne, endTimeAsArchbishopOfLima, 2019]
-
A.
endTimeAsArchbishopOfBrasília
Indicates the date and time when an individual's tenure as Archbishop of Brasília comes to an end.
-
B.
endTimeAsViceroyOfPeru
Indicates the date and time when an individual's tenure or service as Viceroy of Peru came to an end.
-
C.
endTimeAsArchbishopOfMilan
Indicates the date and time when a person’s tenure as Archbishop of Milan comes to an end.
-
D.
endTimeAsArchbishopOfCanterbury
Indicates the date and time when an individual’s tenure as Archbishop of Canterbury comes to an end.
-
E.
endTimeOfEpiscopate
Indicates the date or time at which a bishop’s term of office (episcopate) comes to an end.
- 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_69bd440e9d64819083e82cf33b4d9570 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c28e56081908ee411ac94c3769e |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6ff731188190a9903602122d4ff9 |
completed | March 20, 2026, 4:04 p.m. |
Created at: March 20, 2026, 1:27 p.m.