Triple
T17996244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angelino Alfano |
E430506
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Angelino |
—
|
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: Angelino | Statement: [Angelino Alfano, givenName, Angelino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angelino Context triple: [Angelino Alfano, givenName, Angelino]
-
A.
Angelino
chosen
Angelino is an informal term for a resident of Los Angeles, California.
-
B.
Angelo
Angelo is a masculine given name of Greek origin, commonly used in various cultures and often associated with the meaning "angel" or "messenger."
-
C.
Montardo
Montardo is a prominent mountain peak in the central Pyrenees, known for its panoramic views over the Val d’Aran in Catalonia, Spain.
-
D.
Altiero
Altiero is an Italian given name most notably borne by the influential federalist politician Altiero Spinelli, a founding figure of the European integration movement.
-
E.
Nicolangelo Carnimeo
Nicolangelo Carnimeo was an Italian military officer best known for commanding Italian forces during the World War II Battle of Keren in East Africa.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b3e4ae948190903ed255b0fe1dca |
completed | April 19, 2026, 10:52 a.m. |
Created at: April 10, 2026, 10:23 a.m.