Triple
T37637690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giovanni Battista Rinuccini |
E936531
|
entity |
| Predicate | broughtToIreland |
P188550
|
FINISHED |
| Object | money |
—
|
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: money | Statement: [Giovanni Battista Rinuccini, broughtToIreland, money]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broughtToIreland Context triple: [Giovanni Battista Rinuccini, broughtToIreland, money]
-
A.
timeOfIntroductionToIreland
Indicates the point in time when something was first introduced or brought into Ireland.
-
B.
broughtToBritainBy
Indicates that something or someone was transported or introduced into Britain by a particular agent or source.
-
C.
IrishOutcome
Indicates that an event, action, or process results in an outcome specifically associated with Ireland or Irish contexts.
-
D.
leftIreland
Indicates that an entity departed from or moved away from Ireland.
-
E.
introducedToScotlandBy
Indicates that one entity was responsible for bringing or establishing another entity in Scotland for the first time.
- 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_69fbaa19e4a88190b04f26c0d4e708fd |
completed | May 6, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69fba8860f98819080b7bab05837b974 |
completed | May 6, 2026, 8:45 p.m. |
| PDg | Predicate description generation | batch_69fbaa108ee48190b84d13df3ef3e365 |
completed | May 6, 2026, 8:52 p.m. |
Created at: May 3, 2026, 4:18 p.m.