Triple
T37637683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giovanni Battista Rinuccini |
E936531
|
entity |
| Predicate | startTimeAsNuncioToIreland |
P203179
|
FINISHED |
| Object | 1645 |
—
|
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: 1645 | Statement: [Giovanni Battista Rinuccini, startTimeAsNuncioToIreland, 1645]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeAsNuncioToIreland Context triple: [Giovanni Battista Rinuccini, startTimeAsNuncioToIreland, 1645]
-
A.
endTimeAsNuncioToIreland
Indicates the date and time when an individual’s service as nuncio (papal ambassador) to Ireland comes to an end.
-
B.
termStartAsLordLieutenantOfIreland
Indicates the time period during which an individual begins serving in the official role of Lord Lieutenant of Ireland.
-
C.
startTimeAsPrefectOfDicasteryForTheClergy
Indicates the date and time at which an individual begins serving as prefect of the Dicastery for the Clergy.
-
D.
startTimeAsLordChancellor
Indicates the point in time at which an individual begins serving in the role of Lord Chancellor.
-
E.
chiefSecretaryForIrelandTermStart
Indicates the date on which an individual began serving in the role of Chief Secretary for Ireland.
- 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_69f76ed31d8881908405da6c6d2f0463 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a013632a3048190b05716d803f34716 |
completed | May 11, 2026, 1:51 a.m. |
| PD | Predicate disambiguation | batch_6a01309582e48190a05d47d96ffb7a46 |
completed | May 11, 2026, 1:27 a.m. |
| PDg | Predicate description generation | batch_6a013631f4d48190b1e79e8ff313d3d2 |
completed | May 11, 2026, 1:51 a.m. |
Created at: May 3, 2026, 4:18 p.m.