Triple
T20575121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Draghi Cabinet |
E505196
|
entity |
| Predicate | headOfGovernment |
P307
|
FINISHED |
| Object | Mario Draghi |
—
|
NE NERFINISHED |
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: Mario Draghi | Statement: [Draghi Cabinet, headOfGovernment, Mario Draghi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mario Draghi Context triple: [Draghi Cabinet, headOfGovernment, Mario Draghi]
-
A.
Mario Draghi
chosen
Mario Draghi is an Italian economist and former President of the European Central Bank who played a key role in managing the eurozone debt crisis.
-
B.
Mario Monti
Mario Monti is an Italian economist and former Prime Minister of Italy, known for his leadership during the Eurozone crisis and his role as a European Commissioner.
-
C.
Ignazio Visco
Ignazio Visco is an Italian economist who served as Governor of the Bank of Italy.
-
D.
Renato Brunetta
Renato Brunetta is an Italian economist and politician who has served in various government roles, including as a minister, and is known for his long-standing involvement in center-right politics.
-
E.
Gerardo Amato
Gerardo Amato is an Italian actor known for his work in film, television, and theater.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b721588190993ac7b0a9be2736 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a909785c8190a02b1195eadb384c |
completed | April 20, 2026, 10:30 p.m. |
Created at: April 16, 2026, 11:39 a.m.