Triple
T20010629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pope Clement XII |
E494579
|
entity |
| Predicate | family |
P566
|
FINISHED |
| Object | Corsini |
—
|
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: Corsini | Statement: [Pope Clement XII, family, Corsini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corsini Context triple: [Pope Clement XII, family, Corsini]
-
A.
Corsini
chosen
Corsini is an Italian noble family from Florence historically prominent in politics and the Catholic Church, most notably producing Pope Clement XII.
-
B.
Savelli
Savelli is an ancient Roman noble family that produced several prominent churchmen, including Pope Honorius IV.
-
C.
Orotelli
Orotelli is a small town and comune in the province of Nuoro on the island of Sardinia, Italy, known for its traditional Sardinian culture and rural landscape.
-
D.
Carosino
Carosino is a small town and comune in the Apulia region of southern Italy, known for its wine production and proximity to the city of Taranto.
-
E.
Scarlino
Scarlino is a historic Tuscan town in central Italy, known for its medieval hilltop setting overlooking the Tyrrhenian coast.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662362df48190abf16129eea39985 |
completed | April 20, 2026, 5:28 p.m. |
Created at: April 11, 2026, 3:33 p.m.